diff --git a/EXTERNAL_MODEL_RESULTS.json b/EXTERNAL_MODEL_RESULTS.json
index a30aae2090363e8423abb09d0125d29426712d82..8f5f8f1cd7504e37dbe5785eb4f053bceee24602 100644
--- a/EXTERNAL_MODEL_RESULTS.json
+++ b/EXTERNAL_MODEL_RESULTS.json
@@ -7,18 +7,21 @@
"accuracy": [
{
"Model": "gte-Qwen1.5-7B-instruct",
- "AmazonCounterfactualClassification": 83.16,
+ "AmazonCounterfactualClassification (en)": 83.16,
"AmazonPolarityClassification": 96.7,
- "AmazonReviewsClassification": 52.95,
+ "AmazonReviewsClassification (en)": 62.17,
+ "AmazonReviewsClassification (zh)": 52.95,
"Banking77Classification": 81.68,
"EmotionClassification": 54.53,
"IFlyTek": 53.77,
"ImdbClassification": 95.58,
"JDReview": 88.2,
- "MTOPDomainClassification": 95.75,
- "MTOPIntentClassification": 84.26,
- "MassiveIntentClassification": 78.47,
- "MassiveScenarioClassification": 77.26,
+ "MTOPDomainClassification (en)": 95.75,
+ "MTOPIntentClassification (en)": 84.26,
+ "MassiveIntentClassification (zh-CN)": 76.25,
+ "MassiveIntentClassification (en)": 78.47,
+ "MassiveScenarioClassification (en)": 78.19,
+ "MassiveScenarioClassification (zh-CN)": 77.26,
"MultilingualSentiment": 77.42,
"OnlineShopping": 94.48,
"TNews": 51.24,
@@ -156,8 +159,9 @@
"STS14": 83.32,
"STS15": 87.5,
"STS16": 86.39,
- "STS17": 87.79,
- "STS22": 67.36,
+ "STS17 (en-en)": 87.79,
+ "STS22 (en)": 66.4,
+ "STS22 (zh)": 67.36,
"STSB": 81.37,
"STSBenchmark": 87.35
}
@@ -362,11 +366,11 @@
"accuracy": [
{
"Model": "bge-base-zh-v1.5",
- "AmazonReviewsClassification": 40.15,
+ "AmazonReviewsClassification (zh)": 40.15,
"IFlyTek": 48.62,
"JDReview": 83.62,
- "MassiveIntentClassification": 67.93,
- "MassiveScenarioClassification": 73.98,
+ "MassiveIntentClassification (zh-CN)": 67.93,
+ "MassiveScenarioClassification (zh-CN)": 73.98,
"MultilingualSentiment": 70.67,
"OnlineShopping": 91.26,
"TNews": 51.08,
@@ -435,7 +439,7 @@
"LCQMC": 74.45,
"PAWSX": 20.4,
"QBQTC": 36.22,
- "STS22": 68.01,
+ "STS22 (zh)": 68.01,
"STSB": 78.31
}
]
@@ -593,11 +597,11 @@
"accuracy": [
{
"Model": "bge-large-zh-noinstruct",
- "AmazonReviewsClassification": 41.94,
+ "AmazonReviewsClassification (zh)": 41.94,
"IFlyTek": 45.32,
"JDReview": 85.38,
- "MassiveIntentClassification": 66.96,
- "MassiveScenarioClassification": 73.39,
+ "MassiveIntentClassification (zh-CN)": 66.96,
+ "MassiveScenarioClassification (zh-CN)": 73.39,
"MultilingualSentiment": 73.7,
"OnlineShopping": 91.66,
"TNews": 52.05,
@@ -666,7 +670,7 @@
"LCQMC": 74.71,
"PAWSX": 16.64,
"QBQTC": 35.2,
- "STS22": 67.19,
+ "STS22 (zh)": 67.19,
"STSB": 78.41
}
]
@@ -689,11 +693,11 @@
"accuracy": [
{
"Model": "bge-large-zh-v1.5",
- "AmazonReviewsClassification": 41.38,
+ "AmazonReviewsClassification (zh)": 41.38,
"IFlyTek": 48.74,
"JDReview": 85.14,
- "MassiveIntentClassification": 68.84,
- "MassiveScenarioClassification": 74.7,
+ "MassiveIntentClassification (zh-CN)": 68.84,
+ "MassiveScenarioClassification (zh-CN)": 74.7,
"MultilingualSentiment": 72.97,
"OnlineShopping": 91.43,
"TNews": 52.1,
@@ -762,7 +766,7 @@
"LCQMC": 74.33,
"PAWSX": 33.92,
"QBQTC": 37.29,
- "STS22": 68.94,
+ "STS22 (zh)": 68.94,
"STSB": 78.7
}
]
@@ -1055,11 +1059,11 @@
"accuracy": [
{
"Model": "bge-small-zh-v1.5",
- "AmazonReviewsClassification": 35.91,
+ "AmazonReviewsClassification (zh)": 35.91,
"IFlyTek": 45.49,
"JDReview": 80.04,
- "MassiveIntentClassification": 63.95,
- "MassiveScenarioClassification": 70.8,
+ "MassiveIntentClassification (zh-CN)": 63.95,
+ "MassiveScenarioClassification (zh-CN)": 70.8,
"MultilingualSentiment": 63.06,
"OnlineShopping": 85.05,
"TNews": 48.15,
@@ -1128,7 +1132,7 @@
"LCQMC": 72.19,
"PAWSX": 9.26,
"QBQTC": 35.29,
- "STS22": 67.72,
+ "STS22 (zh)": 67.72,
"STSB": 76.73
}
]
@@ -1293,12 +1297,12 @@
"accuracy": [
{
"Model": "Cohere-embed-multilingual-light-v3.0",
- "AmazonReviewsClassification": 38.6,
- "MTOPDomainClassification": 80.79,
- "MTOPIntentClassification": 50.01,
- "MasakhaNEWSClassification": 82.58,
- "MassiveIntentClassification": 56.31,
- "MassiveScenarioClassification": 59.5
+ "AmazonReviewsClassification (fr)": 38.6,
+ "MTOPDomainClassification (fr)": 80.79,
+ "MTOPIntentClassification (fr)": 50.01,
+ "MasakhaNEWSClassification (fra)": 82.58,
+ "MassiveIntentClassification (fr)": 56.31,
+ "MassiveScenarioClassification (fr)": 59.5
}
]
},
@@ -1311,8 +1315,8 @@
"HALClusteringS2S": 17.31,
"MLSUMClusteringP2P": 42.8,
"MLSUMClusteringS2S": 32.72,
- "MasakhaNEWSClusteringP2P": 56.81,
- "MasakhaNEWSClusteringS2S": 29.41
+ "MasakhaNEWSClusteringP2P (fra)": 56.81,
+ "MasakhaNEWSClusteringS2S (fra)": 29.41
}
]
},
@@ -1320,13 +1324,13 @@
"max_ap": [
{
"Model": "Cohere-embed-multilingual-light-v3.0",
- "OpusparcusPC": 90.92,
- "PawsXPairClassification": 57.32
+ "OpusparcusPC (fr)": 90.92,
+ "PawsXPairClassification (fr)": 57.32
},
{
"Model": "Cohere-embed-multilingual-light-v3.0",
- "OpusparcusPC": 90.92,
- "PawsXPairClassification": 57.35
+ "OpusparcusPC (fr)": 90.92,
+ "PawsXPairClassification (fr)": 57.35
}
]
},
@@ -1345,9 +1349,9 @@
"Model": "Cohere-embed-multilingual-light-v3.0",
"AlloprofRetrieval": 35.39,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 23.0,
+ "MintakaRetrieval (fr)": 23.0,
"SyntecRetrieval": 76.88,
- "XPQARetrieval": 45.23
+ "XPQARetrieval (fr)": 45.23
}
]
},
@@ -1356,8 +1360,8 @@
{
"Model": "Cohere-embed-multilingual-light-v3.0",
"SICKFr": 75.5,
- "STS22": 82.8,
- "STSBenchmarkMultilingualSTS": 76.48
+ "STS22 (fr)": 82.8,
+ "STSBenchmarkMultilingualSTS (fr)": 76.48
}
]
},
@@ -1384,12 +1388,12 @@
"accuracy": [
{
"Model": "Cohere-embed-multilingual-v3.0",
- "AmazonReviewsClassification": 41.89,
- "MTOPDomainClassification": 86.23,
- "MTOPIntentClassification": 61.07,
- "MasakhaNEWSClassification": 83.06,
- "MassiveIntentClassification": 62.94,
- "MassiveScenarioClassification": 67.29
+ "AmazonReviewsClassification (fr)": 41.89,
+ "MTOPDomainClassification (fr)": 86.23,
+ "MTOPIntentClassification (fr)": 61.07,
+ "MasakhaNEWSClassification (fra)": 83.06,
+ "MassiveIntentClassification (fr)": 62.94,
+ "MassiveScenarioClassification (fr)": 67.29
}
]
},
@@ -1402,8 +1406,8 @@
"HALClusteringS2S": 19.9,
"MLSUMClusteringP2P": 45.08,
"MLSUMClusteringS2S": 34.75,
- "MasakhaNEWSClusteringP2P": 53.18,
- "MasakhaNEWSClusteringS2S": 32.31
+ "MasakhaNEWSClusteringP2P (fra)": 53.18,
+ "MasakhaNEWSClusteringS2S (fra)": 32.31
}
]
},
@@ -1411,13 +1415,13 @@
"max_ap": [
{
"Model": "Cohere-embed-multilingual-v3.0",
- "OpusparcusPC": 94.08,
- "PawsXPairClassification": 61.26
+ "OpusparcusPC (fr)": 94.08,
+ "PawsXPairClassification (fr)": 61.26
},
{
"Model": "Cohere-embed-multilingual-v3.0",
- "OpusparcusPC": 94.08,
- "PawsXPairClassification": 61.26
+ "OpusparcusPC (fr)": 94.08,
+ "PawsXPairClassification (fr)": 61.26
}
]
},
@@ -1436,9 +1440,9 @@
"Model": "Cohere-embed-multilingual-v3.0",
"AlloprofRetrieval": 38.36,
"BSARDRetrieval": 0.14,
- "MintakaRetrieval": 25.44,
+ "MintakaRetrieval (fr)": 25.44,
"SyntecRetrieval": 79.27,
- "XPQARetrieval": 58.87
+ "XPQARetrieval (fr)": 58.87
}
]
},
@@ -1447,8 +1451,8 @@
{
"Model": "Cohere-embed-multilingual-v3.0",
"SICKFr": 79.23,
- "STS22": 82.76,
- "STSBenchmarkMultilingualSTS": 81.84
+ "STS22 (fr)": 82.76,
+ "STSBenchmarkMultilingualSTS (fr)": 81.84
}
]
},
@@ -1780,16 +1784,22 @@
"accuracy": [
{
"Model": "xlm-roberta-base",
- "AmazonReviewsClassification": 26.75,
+ "AmazonReviewsClassification (fr)": 26.75,
"AngryTweetsClassification": 52.41,
"DKHateClassification": 56.78,
"DanishPoliticalCommentsClassification": 34.03,
"LccSentimentClassification": 52.27,
- "MTOPDomainClassification": 43.83,
- "MTOPIntentClassification": 19.38,
- "MasakhaNEWSClassification": 60.5,
- "MassiveIntentClassification": 13.58,
- "MassiveScenarioClassification": 23.21,
+ "MTOPDomainClassification (fr)": 43.83,
+ "MTOPIntentClassification (fr)": 19.38,
+ "MasakhaNEWSClassification (fra)": 60.5,
+ "MassiveIntentClassification (da)": 41.06,
+ "MassiveIntentClassification (nb)": 40.46,
+ "MassiveIntentClassification (sv)": 45.12,
+ "MassiveIntentClassification (fr)": 13.58,
+ "MassiveScenarioClassification (da)": 43.91,
+ "MassiveScenarioClassification (nb)": 44.83,
+ "MassiveScenarioClassification (sv)": 47.35,
+ "MassiveScenarioClassification (fr)": 23.21,
"NoRecClassification": 46.28,
"NordicLangClassification": 79.39,
"NorwegianParliament": 56.75,
@@ -1807,8 +1817,8 @@
"HALClusteringS2S": 8.68,
"MLSUMClusteringP2P": 40.44,
"MLSUMClusteringS2S": 24.14,
- "MasakhaNEWSClusteringP2P": 29.29,
- "MasakhaNEWSClusteringS2S": 23.76
+ "MasakhaNEWSClusteringP2P (fra)": 29.29,
+ "MasakhaNEWSClusteringS2S (fra)": 23.76
}
]
},
@@ -1816,13 +1826,13 @@
"max_ap": [
{
"Model": "xlm-roberta-base",
- "OpusparcusPC": 85.45,
- "PawsXPairClassification": 51.35
+ "OpusparcusPC (fr)": 85.45,
+ "PawsXPairClassification (fr)": 51.35
},
{
"Model": "xlm-roberta-base",
- "OpusparcusPC": 85.91,
- "PawsXPairClassification": 51.73
+ "OpusparcusPC (fr)": 85.91,
+ "PawsXPairClassification (fr)": 51.73
}
]
},
@@ -1841,9 +1851,9 @@
"Model": "xlm-roberta-base",
"AlloprofRetrieval": 0.16,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 0.88,
+ "MintakaRetrieval (fr)": 0.88,
"SyntecRetrieval": 3.33,
- "XPQARetrieval": 11.65
+ "XPQARetrieval (fr)": 11.65
}
]
},
@@ -1852,8 +1862,8 @@
{
"Model": "xlm-roberta-base",
"SICKFr": 48.62,
- "STS22": 56.72,
- "STSBenchmarkMultilingualSTS": 46.23
+ "STS22 (fr)": 56.72,
+ "STSBenchmarkMultilingualSTS (fr)": 46.23
}
]
},
@@ -1880,12 +1890,12 @@
"accuracy": [
{
"Model": "xlm-roberta-large",
- "AmazonReviewsClassification": 26.62,
- "MTOPDomainClassification": 36.77,
- "MTOPIntentClassification": 15.37,
- "MasakhaNEWSClassification": 65.76,
- "MassiveIntentClassification": 15.82,
- "MassiveScenarioClassification": 23.92
+ "AmazonReviewsClassification (fr)": 26.62,
+ "MTOPDomainClassification (fr)": 36.77,
+ "MTOPIntentClassification (fr)": 15.37,
+ "MasakhaNEWSClassification (fra)": 65.76,
+ "MassiveIntentClassification (fr)": 15.82,
+ "MassiveScenarioClassification (fr)": 23.92
}
]
},
@@ -1900,8 +1910,8 @@
"HALClusteringS2S": 5.94,
"MLSUMClusteringP2P": 42.67,
"MLSUMClusteringS2S": 18.5,
- "MasakhaNEWSClusteringP2P": 34.02,
- "MasakhaNEWSClusteringS2S": 21.52,
+ "MasakhaNEWSClusteringP2P (fra)": 34.02,
+ "MasakhaNEWSClusteringS2S (fra)": 21.52,
"TenKGnadClusteringP2P": 32.46,
"TenKGnadClusteringS2S": 6.16
}
@@ -1911,13 +1921,13 @@
"max_ap": [
{
"Model": "xlm-roberta-large",
- "OpusparcusPC": 83.73,
- "PawsXPairClassification": 53.38
+ "OpusparcusPC (fr)": 83.73,
+ "PawsXPairClassification (fr)": 53.38
},
{
"Model": "xlm-roberta-large",
- "OpusparcusPC": 83.79,
- "PawsXPairClassification": 53.44
+ "OpusparcusPC (fr)": 83.79,
+ "PawsXPairClassification (fr)": 53.44
}
]
},
@@ -1936,9 +1946,9 @@
"Model": "xlm-roberta-large",
"AlloprofRetrieval": 0.52,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 0.9,
+ "MintakaRetrieval (fr)": 0.9,
"SyntecRetrieval": 6.6,
- "XPQARetrieval": 12.7
+ "XPQARetrieval (fr)": 12.7
}
]
},
@@ -1947,8 +1957,8 @@
{
"Model": "xlm-roberta-large",
"SICKFr": 50.01,
- "STS22": 55.49,
- "STSBenchmarkMultilingualSTS": 42.32
+ "STS22 (fr)": 55.49,
+ "STSBenchmarkMultilingualSTS (fr)": 42.32
}
]
},
@@ -1975,12 +1985,12 @@
"accuracy": [
{
"Model": "bert-base-10lang-cased",
- "AmazonReviewsClassification": 29.38,
- "MTOPDomainClassification": 63.65,
- "MTOPIntentClassification": 37.87,
- "MasakhaNEWSClassification": 63.93,
- "MassiveIntentClassification": 37.28,
- "MassiveScenarioClassification": 44.5
+ "AmazonReviewsClassification (fr)": 29.38,
+ "MTOPDomainClassification (fr)": 63.65,
+ "MTOPIntentClassification (fr)": 37.87,
+ "MasakhaNEWSClassification (fra)": 63.93,
+ "MassiveIntentClassification (fr)": 37.28,
+ "MassiveScenarioClassification (fr)": 44.5
}
]
},
@@ -1993,8 +2003,8 @@
"HALClusteringS2S": 19.94,
"MLSUMClusteringP2P": 40.96,
"MLSUMClusteringS2S": 31.87,
- "MasakhaNEWSClusteringP2P": 24.23,
- "MasakhaNEWSClusteringS2S": 24.46
+ "MasakhaNEWSClusteringP2P (fra)": 24.23,
+ "MasakhaNEWSClusteringS2S (fra)": 24.46
}
]
},
@@ -2002,13 +2012,13 @@
"max_ap": [
{
"Model": "bert-base-10lang-cased",
- "OpusparcusPC": 86.79,
- "PawsXPairClassification": 53.4
+ "OpusparcusPC (fr)": 86.79,
+ "PawsXPairClassification (fr)": 53.4
},
{
"Model": "bert-base-10lang-cased",
- "OpusparcusPC": 87.78,
- "PawsXPairClassification": 53.4
+ "OpusparcusPC (fr)": 87.78,
+ "PawsXPairClassification (fr)": 53.4
}
]
},
@@ -2027,9 +2037,9 @@
"Model": "bert-base-10lang-cased",
"AlloprofRetrieval": 1.6,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 3.55,
+ "MintakaRetrieval (fr)": 3.55,
"SyntecRetrieval": 18.95,
- "XPQARetrieval": 18.39
+ "XPQARetrieval (fr)": 18.39
}
]
},
@@ -2038,8 +2048,8 @@
{
"Model": "bert-base-10lang-cased",
"SICKFr": 58.76,
- "STS22": 40.31,
- "STSBenchmarkMultilingualSTS": 52.25
+ "STS22 (fr)": 40.31,
+ "STSBenchmarkMultilingualSTS (fr)": 52.25
}
]
},
@@ -2066,12 +2076,12 @@
"accuracy": [
{
"Model": "bert-base-15lang-cased",
- "AmazonReviewsClassification": 29.35,
- "MTOPDomainClassification": 63.7,
- "MTOPIntentClassification": 37.85,
- "MasakhaNEWSClassification": 63.89,
- "MassiveIntentClassification": 37.28,
- "MassiveScenarioClassification": 44.47
+ "AmazonReviewsClassification (fr)": 29.35,
+ "MTOPDomainClassification (fr)": 63.7,
+ "MTOPIntentClassification (fr)": 37.85,
+ "MasakhaNEWSClassification (fra)": 63.89,
+ "MassiveIntentClassification (fr)": 37.28,
+ "MassiveScenarioClassification (fr)": 44.47
}
]
},
@@ -2084,8 +2094,8 @@
"HALClusteringS2S": 20.26,
"MLSUMClusteringP2P": 41.22,
"MLSUMClusteringS2S": 31.88,
- "MasakhaNEWSClusteringP2P": 24.23,
- "MasakhaNEWSClusteringS2S": 24.46
+ "MasakhaNEWSClusteringP2P (fra)": 24.23,
+ "MasakhaNEWSClusteringS2S (fra)": 24.46
}
]
},
@@ -2093,13 +2103,13 @@
"max_ap": [
{
"Model": "bert-base-15lang-cased",
- "OpusparcusPC": 86.78,
- "PawsXPairClassification": 53.38
+ "OpusparcusPC (fr)": 86.78,
+ "PawsXPairClassification (fr)": 53.38
},
{
"Model": "bert-base-15lang-cased",
- "OpusparcusPC": 87.73,
- "PawsXPairClassification": 53.38
+ "OpusparcusPC (fr)": 87.73,
+ "PawsXPairClassification (fr)": 53.38
}
]
},
@@ -2118,9 +2128,9 @@
"Model": "bert-base-15lang-cased",
"AlloprofRetrieval": 1.61,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 3.55,
+ "MintakaRetrieval (fr)": 3.55,
"SyntecRetrieval": 18.95,
- "XPQARetrieval": 18.35
+ "XPQARetrieval (fr)": 18.35
}
]
},
@@ -2129,8 +2139,8 @@
{
"Model": "bert-base-15lang-cased",
"SICKFr": 58.77,
- "STS22": 40.4,
- "STSBenchmarkMultilingualSTS": 52.25
+ "STS22 (fr)": 40.4,
+ "STSBenchmarkMultilingualSTS (fr)": 52.25
}
]
},
@@ -2157,12 +2167,12 @@
"accuracy": [
{
"Model": "bert-base-25lang-cased",
- "AmazonReviewsClassification": 29.39,
- "MTOPDomainClassification": 63.63,
- "MTOPIntentClassification": 37.86,
- "MasakhaNEWSClassification": 63.91,
- "MassiveIntentClassification": 37.3,
- "MassiveScenarioClassification": 44.47
+ "AmazonReviewsClassification (fr)": 29.39,
+ "MTOPDomainClassification (fr)": 63.63,
+ "MTOPIntentClassification (fr)": 37.86,
+ "MasakhaNEWSClassification (fra)": 63.91,
+ "MassiveIntentClassification (fr)": 37.3,
+ "MassiveScenarioClassification (fr)": 44.47
}
]
},
@@ -2175,8 +2185,8 @@
"HALClusteringS2S": 19.78,
"MLSUMClusteringP2P": 40.73,
"MLSUMClusteringS2S": 31.94,
- "MasakhaNEWSClusteringP2P": 24.23,
- "MasakhaNEWSClusteringS2S": 24.46
+ "MasakhaNEWSClusteringP2P (fra)": 24.23,
+ "MasakhaNEWSClusteringS2S (fra)": 24.46
}
]
},
@@ -2184,13 +2194,13 @@
"max_ap": [
{
"Model": "bert-base-25lang-cased",
- "OpusparcusPC": 86.79,
- "PawsXPairClassification": 53.39
+ "OpusparcusPC (fr)": 86.79,
+ "PawsXPairClassification (fr)": 53.39
},
{
"Model": "bert-base-25lang-cased",
- "OpusparcusPC": 87.78,
- "PawsXPairClassification": 53.4
+ "OpusparcusPC (fr)": 87.78,
+ "PawsXPairClassification (fr)": 53.4
}
]
},
@@ -2209,9 +2219,9 @@
"Model": "bert-base-25lang-cased",
"AlloprofRetrieval": 1.6,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 3.55,
+ "MintakaRetrieval (fr)": 3.55,
"SyntecRetrieval": 18.95,
- "XPQARetrieval": 18.46
+ "XPQARetrieval (fr)": 18.46
}
]
},
@@ -2220,8 +2230,8 @@
{
"Model": "bert-base-25lang-cased",
"SICKFr": 58.76,
- "STS22": 38.77,
- "STSBenchmarkMultilingualSTS": 52.25
+ "STS22 (fr)": 38.77,
+ "STSBenchmarkMultilingualSTS (fr)": 52.25
}
]
},
@@ -2983,8 +2993,12 @@
"DKHateClassification": 52.28,
"DanishPoliticalCommentsClassification": 25.17,
"LccSentimentClassification": 36.67,
- "MassiveIntentClassification": 6.6,
- "MassiveScenarioClassification": 12.16,
+ "MassiveIntentClassification (da)": 6.51,
+ "MassiveIntentClassification (nb)": 5.66,
+ "MassiveIntentClassification (sv)": 6.6,
+ "MassiveScenarioClassification (da)": 11.5,
+ "MassiveScenarioClassification (nb)": 11.26,
+ "MassiveScenarioClassification (sv)": 12.16,
"NoRecClassification": 39.72,
"NordicLangClassification": 44.53,
"NorwegianParliament": 52.44,
@@ -3035,8 +3049,12 @@
"DKHateClassification": 59.36,
"DanishPoliticalCommentsClassification": 28.32,
"LccSentimentClassification": 47.2,
- "MassiveIntentClassification": 69.11,
- "MassiveScenarioClassification": 75.96,
+ "MassiveIntentClassification (da)": 42.84,
+ "MassiveIntentClassification (nb)": 42.74,
+ "MassiveIntentClassification (sv)": 69.11,
+ "MassiveScenarioClassification (da)": 49.64,
+ "MassiveScenarioClassification (nb)": 49.49,
+ "MassiveScenarioClassification (sv)": 75.96,
"NoRecClassification": 43.53,
"NordicLangClassification": 51.45,
"NorwegianParliament": 55.74,
@@ -3087,8 +3105,12 @@
"DKHateClassification": 55.53,
"DanishPoliticalCommentsClassification": 28.97,
"LccSentimentClassification": 41.2,
- "MassiveIntentClassification": 52.75,
- "MassiveScenarioClassification": 56.09,
+ "MassiveIntentClassification (da)": 37.98,
+ "MassiveIntentClassification (nb)": 35.75,
+ "MassiveIntentClassification (sv)": 52.75,
+ "MassiveScenarioClassification (da)": 40.44,
+ "MassiveScenarioClassification (nb)": 35.76,
+ "MassiveScenarioClassification (sv)": 56.09,
"NoRecClassification": 43.91,
"NordicLangClassification": 62.45,
"NorwegianParliament": 57.56,
@@ -3130,16 +3152,16 @@
"accuracy": [
{
"Model": "LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised",
- "AmazonCounterfactualClassification": 82.22,
+ "AmazonCounterfactualClassification (en)": 82.22,
"AmazonPolarityClassification": 89.69,
- "AmazonReviewsClassification": 48.47,
+ "AmazonReviewsClassification (en)": 48.47,
"Banking77Classification": 88.17,
"EmotionClassification": 51.71,
"ImdbClassification": 85.78,
- "MTOPDomainClassification": 95.57,
- "MTOPIntentClassification": 82.81,
- "MassiveIntentClassification": 78.06,
- "MassiveScenarioClassification": 81.35,
+ "MTOPDomainClassification (en)": 95.57,
+ "MTOPIntentClassification (en)": 82.81,
+ "MassiveIntentClassification (en)": 78.06,
+ "MassiveScenarioClassification (en)": 81.35,
"ToxicConversationsClassification": 71.01,
"TweetSentimentExtractionClassification": 61.11
}
@@ -3223,8 +3245,8 @@
"STS14": 84.04,
"STS15": 88.72,
"STS16": 86.79,
- "STS17": 90.63,
- "STS22": 67.55,
+ "STS17 (en-en)": 90.63,
+ "STS22 (en)": 67.55,
"STSBenchmark": 88.72
}
]
@@ -3252,16 +3274,16 @@
"accuracy": [
{
"Model": "LLM2Vec-Llama-2-unsupervised",
- "AmazonCounterfactualClassification": 76.91,
+ "AmazonCounterfactualClassification (en)": 76.91,
"AmazonPolarityClassification": 79.05,
- "AmazonReviewsClassification": 40.08,
+ "AmazonReviewsClassification (en)": 40.08,
"Banking77Classification": 84.65,
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"ImdbClassification": 75.68,
- "MTOPDomainClassification": 94.33,
- "MTOPIntentClassification": 79.54,
- "MassiveIntentClassification": 73.84,
- "MassiveScenarioClassification": 79.17,
+ "MTOPDomainClassification (en)": 94.33,
+ "MTOPIntentClassification (en)": 79.54,
+ "MassiveIntentClassification (en)": 73.84,
+ "MassiveScenarioClassification (en)": 79.17,
"ToxicConversationsClassification": 71.81,
"TweetSentimentExtractionClassification": 57.17
}
@@ -3345,8 +3367,8 @@
"STS14": 72.98,
"STS15": 82.72,
"STS16": 81.02,
- "STS17": 86.7,
- "STS22": 63.47,
+ "STS17 (en-en)": 86.7,
+ "STS22 (en)": 63.47,
"STSBenchmark": 78.32
}
]
@@ -3374,16 +3396,16 @@
"accuracy": [
{
"Model": "LLM2Vec-Meta-Llama-3-supervised",
- "AmazonCounterfactualClassification": 79.94,
+ "AmazonCounterfactualClassification (en)": 79.94,
"AmazonPolarityClassification": 86.07,
- "AmazonReviewsClassification": 46.84,
+ "AmazonReviewsClassification (en)": 46.84,
"Banking77Classification": 88.05,
"EmotionClassification": 51.2,
"ImdbClassification": 82.94,
- "MTOPDomainClassification": 96.14,
- "MTOPIntentClassification": 86.11,
- "MassiveIntentClassification": 79.8,
- "MassiveScenarioClassification": 81.52,
+ "MTOPDomainClassification (en)": 96.14,
+ "MTOPIntentClassification (en)": 86.11,
+ "MassiveIntentClassification (en)": 79.8,
+ "MassiveScenarioClassification (en)": 81.52,
"ToxicConversationsClassification": 70.59,
"TweetSentimentExtractionClassification": 61.9
}
@@ -3467,8 +3489,8 @@
"STS14": 82.94,
"STS15": 88.09,
"STS16": 86.54,
- "STS17": 89.58,
- "STS22": 67.67,
+ "STS17 (en-en)": 89.58,
+ "STS22 (en)": 67.67,
"STSBenchmark": 88.05
}
]
@@ -3496,16 +3518,16 @@
"accuracy": [
{
"Model": "LLM2Vec-Meta-Llama-3-unsupervised",
- "AmazonCounterfactualClassification": 75.7,
+ "AmazonCounterfactualClassification (en)": 75.7,
"AmazonPolarityClassification": 80.68,
- "AmazonReviewsClassification": 40.0,
+ "AmazonReviewsClassification (en)": 40.0,
"Banking77Classification": 84.77,
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"ImdbClassification": 75.19,
- "MTOPDomainClassification": 94.47,
- "MTOPIntentClassification": 81.09,
- "MassiveIntentClassification": 75.01,
- "MassiveScenarioClassification": 79.16,
+ "MTOPDomainClassification (en)": 94.47,
+ "MTOPIntentClassification (en)": 81.09,
+ "MassiveIntentClassification (en)": 75.01,
+ "MassiveScenarioClassification (en)": 79.16,
"ToxicConversationsClassification": 71.85,
"TweetSentimentExtractionClassification": 57.61
}
@@ -3589,8 +3611,8 @@
"STS14": 72.11,
"STS15": 82.18,
"STS16": 79.41,
- "STS17": 85.44,
- "STS22": 63.9,
+ "STS17 (en-en)": 85.44,
+ "STS22 (en)": 63.9,
"STSBenchmark": 77.44
}
]
@@ -3618,16 +3640,16 @@
"accuracy": [
{
"Model": "LLM2Vec-Mistral-supervised",
- "AmazonCounterfactualClassification": 77.58,
+ "AmazonCounterfactualClassification (en)": 77.58,
"AmazonPolarityClassification": 91.12,
- "AmazonReviewsClassification": 49.97,
+ "AmazonReviewsClassification (en)": 49.97,
"Banking77Classification": 88.31,
"EmotionClassification": 52.04,
"ImdbClassification": 87.42,
- "MTOPDomainClassification": 96.04,
- "MTOPIntentClassification": 84.77,
- "MassiveIntentClassification": 79.29,
- "MassiveScenarioClassification": 81.64,
+ "MTOPDomainClassification (en)": 96.04,
+ "MTOPIntentClassification (en)": 84.77,
+ "MassiveIntentClassification (en)": 79.29,
+ "MassiveScenarioClassification (en)": 81.64,
"ToxicConversationsClassification": 69.26,
"TweetSentimentExtractionClassification": 62.14
}
@@ -3711,8 +3733,8 @@
"STS14": 84.04,
"STS15": 88.99,
"STS16": 87.22,
- "STS17": 90.19,
- "STS22": 67.68,
+ "STS17 (en-en)": 90.19,
+ "STS22 (en)": 67.68,
"STSBenchmark": 88.65
}
]
@@ -3740,16 +3762,16 @@
"accuracy": [
{
"Model": "LLM2Vec-Mistral-unsupervised",
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"AmazonPolarityClassification": 85.29,
- "AmazonReviewsClassification": 47.09,
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"Banking77Classification": 86.16,
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"ImdbClassification": 77.95,
- "MTOPDomainClassification": 95.48,
- "MTOPIntentClassification": 82.84,
- "MassiveIntentClassification": 76.65,
- "MassiveScenarioClassification": 79.99,
+ "MTOPDomainClassification (en)": 95.48,
+ "MTOPIntentClassification (en)": 82.84,
+ "MassiveIntentClassification (en)": 76.65,
+ "MassiveScenarioClassification (en)": 79.99,
"ToxicConversationsClassification": 70.71,
"TweetSentimentExtractionClassification": 60.9
}
@@ -3833,8 +3855,8 @@
"STS14": 76.97,
"STS15": 83.8,
"STS16": 81.91,
- "STS17": 85.58,
- "STS22": 65.93,
+ "STS17 (en-en)": 85.58,
+ "STS22 (en)": 65.93,
"STSBenchmark": 80.42
}
]
@@ -3862,16 +3884,16 @@
"accuracy": [
{
"Model": "LLM2Vec-Sheared-Llama-supervised",
- "AmazonCounterfactualClassification": 77.42,
+ "AmazonCounterfactualClassification (en)": 77.42,
"AmazonPolarityClassification": 82.05,
- "AmazonReviewsClassification": 40.81,
+ "AmazonReviewsClassification (en)": 40.81,
"Banking77Classification": 86.01,
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"ImdbClassification": 75.33,
- "MTOPDomainClassification": 94.09,
- "MTOPIntentClassification": 77.05,
- "MassiveIntentClassification": 75.58,
- "MassiveScenarioClassification": 79.16,
+ "MTOPDomainClassification (en)": 94.09,
+ "MTOPIntentClassification (en)": 77.05,
+ "MassiveIntentClassification (en)": 75.58,
+ "MassiveScenarioClassification (en)": 79.16,
"ToxicConversationsClassification": 69.92,
"TweetSentimentExtractionClassification": 60.76
}
@@ -3955,8 +3977,8 @@
"STS14": 82.49,
"STS15": 88.76,
"STS16": 87.11,
- "STS17": 90.1,
- "STS22": 68.25,
+ "STS17 (en-en)": 90.1,
+ "STS22 (en)": 68.25,
"STSBenchmark": 87.16
}
]
@@ -3984,16 +4006,16 @@
"accuracy": [
{
"Model": "LLM2Vec-Sheared-Llama-unsupervised",
- "AmazonCounterfactualClassification": 72.93,
+ "AmazonCounterfactualClassification (en)": 72.93,
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- "AmazonReviewsClassification": 36.14,
+ "AmazonReviewsClassification (en)": 36.14,
"Banking77Classification": 79.0,
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- "MTOPDomainClassification": 91.24,
- "MTOPIntentClassification": 74.08,
- "MassiveIntentClassification": 69.99,
- "MassiveScenarioClassification": 75.15,
+ "MTOPDomainClassification (en)": 91.24,
+ "MTOPIntentClassification (en)": 74.08,
+ "MassiveIntentClassification (en)": 69.99,
+ "MassiveScenarioClassification (en)": 75.15,
"ToxicConversationsClassification": 68.4,
"TweetSentimentExtractionClassification": 56.08
}
@@ -4077,8 +4099,8 @@
"STS14": 66.7,
"STS15": 77.69,
"STS16": 75.94,
- "STS17": 81.67,
- "STS22": 63.7,
+ "STS17 (en-en)": 81.67,
+ "STS22 (en)": 63.7,
"STSBenchmark": 73.36
}
]
@@ -4115,8 +4137,12 @@
"DKHateClassification": 61.73,
"DanishPoliticalCommentsClassification": 34.84,
"LccSentimentClassification": 51.4,
- "MassiveIntentClassification": 53.89,
- "MassiveScenarioClassification": 55.37,
+ "MassiveIntentClassification (da)": 56.69,
+ "MassiveIntentClassification (nb)": 60.67,
+ "MassiveIntentClassification (sv)": 53.89,
+ "MassiveScenarioClassification (da)": 61.93,
+ "MassiveScenarioClassification (nb)": 67.31,
+ "MassiveScenarioClassification (sv)": 55.37,
"NoRecClassification": 51.32,
"NordicLangClassification": 84.69,
"NorwegianParliament": 57.41,
@@ -4167,8 +4193,12 @@
"DKHateClassification": 62.13,
"DanishPoliticalCommentsClassification": 35.04,
"LccSentimentClassification": 56.27,
- "MassiveIntentClassification": 55.02,
- "MassiveScenarioClassification": 57.12,
+ "MassiveIntentClassification (da)": 57.03,
+ "MassiveIntentClassification (nb)": 62.68,
+ "MassiveIntentClassification (sv)": 55.02,
+ "MassiveScenarioClassification (da)": 60.43,
+ "MassiveScenarioClassification (nb)": 67.44,
+ "MassiveScenarioClassification (sv)": 57.12,
"NoRecClassification": 55.46,
"NordicLangClassification": 85.27,
"NorwegianParliament": 62.58,
@@ -4311,12 +4341,12 @@
"accuracy": [
{
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- "AmazonReviewsClassification": 34.79,
- "MTOPDomainClassification": 85.52,
- "MTOPIntentClassification": 63.12,
- "MasakhaNEWSClassification": 79.29,
- "MassiveIntentClassification": 59.41,
- "MassiveScenarioClassification": 65.29
+ "AmazonReviewsClassification (fr)": 34.79,
+ "MTOPDomainClassification (fr)": 85.52,
+ "MTOPIntentClassification (fr)": 63.12,
+ "MasakhaNEWSClassification (fra)": 79.29,
+ "MassiveIntentClassification (fr)": 59.41,
+ "MassiveScenarioClassification (fr)": 65.29
}
]
},
@@ -4329,8 +4359,8 @@
"HALClusteringS2S": 23.4,
"MLSUMClusteringP2P": 42.94,
"MLSUMClusteringS2S": 33.91,
- "MasakhaNEWSClusteringP2P": 53.94,
- "MasakhaNEWSClusteringS2S": 41.05
+ "MasakhaNEWSClusteringP2P (fra)": 53.94,
+ "MasakhaNEWSClusteringS2S (fra)": 41.05
}
]
},
@@ -4338,13 +4368,13 @@
"max_ap": [
{
"Model": "sentence-croissant-llm-base",
- "OpusparcusPC": 91.42,
- "PawsXPairClassification": 63.13
+ "OpusparcusPC (fr)": 91.42,
+ "PawsXPairClassification (fr)": 63.13
},
{
"Model": "sentence-croissant-llm-base",
- "OpusparcusPC": 91.42,
- "PawsXPairClassification": 63.19
+ "OpusparcusPC (fr)": 91.42,
+ "PawsXPairClassification (fr)": 63.19
}
]
},
@@ -4363,9 +4393,9 @@
"Model": "sentence-croissant-llm-base",
"AlloprofRetrieval": 29.97,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 21.31,
+ "MintakaRetrieval (fr)": 21.31,
"SyntecRetrieval": 74.2,
- "XPQARetrieval": 58.57
+ "XPQARetrieval (fr)": 58.57
}
]
},
@@ -4374,8 +4404,8 @@
{
"Model": "sentence-croissant-llm-base",
"SICKFr": 69.6,
- "STS22": 78.77,
- "STSBenchmarkMultilingualSTS": 79.23
+ "STS22 (fr)": 78.77,
+ "STSBenchmarkMultilingualSTS (fr)": 79.23
}
]
},
@@ -4582,11 +4612,11 @@
"accuracy": [
{
"Model": "OpenSearch-text-hybrid",
- "AmazonReviewsClassification": 46.18,
+ "AmazonReviewsClassification (zh)": 46.18,
"IFlyTek": 51.8,
"JDReview": 86.02,
- "MassiveIntentClassification": 73.85,
- "MassiveScenarioClassification": 77.13,
+ "MassiveIntentClassification (zh-CN)": 73.85,
+ "MassiveScenarioClassification (zh-CN)": 77.13,
"MultilingualSentiment": 76.35,
"OnlineShopping": 93.2,
"TNews": 53.06,
@@ -4655,7 +4685,7 @@
"LCQMC": 78.27,
"PAWSX": 44.98,
"QBQTC": 38.69,
- "STS22": 66.53,
+ "STS22 (zh)": 66.53,
"STSB": 82.8
}
]
@@ -4678,7 +4708,7 @@
"accuracy": [
{
"Model": "titan-embed-text-v1",
- "AmazonCounterfactualClassification": 61.85,
+ "AmazonCounterfactualClassification (en)": 61.85,
"Banking77Classification": 83.21
}
]
@@ -4721,7 +4751,7 @@
"STS14": 73.71,
"STS15": 82.4,
"STS16": NaN,
- "STS17": 80.9,
+ "STS17 (en-en)": 80.9,
"STSBenchmark": 74.85
}
]
@@ -4744,11 +4774,11 @@
"accuracy": [
{
"Model": "text-embedding",
- "AmazonReviewsClassification": 48.3,
+ "AmazonReviewsClassification (zh)": 48.3,
"IFlyTek": 50.75,
"JDReview": 87.69,
- "MassiveIntentClassification": 74.91,
- "MassiveScenarioClassification": 81.28,
+ "MassiveIntentClassification (zh-CN)": 74.91,
+ "MassiveScenarioClassification (zh-CN)": 81.28,
"MultilingualSentiment": 76.83,
"OnlineShopping": 94.42,
"TNews": 52.62,
@@ -4817,7 +4847,7 @@
"LCQMC": 76.6,
"PAWSX": 47.56,
"QBQTC": 39.96,
- "STS22": 65.78,
+ "STS22 (zh)": 65.78,
"STSB": 80.14
}
]
@@ -5085,8 +5115,12 @@
"DKHateClassification": 60.09,
"DanishPoliticalCommentsClassification": 36.6,
"LccSentimentClassification": 57.33,
- "MassiveIntentClassification": 49.74,
- "MassiveScenarioClassification": 50.1,
+ "MassiveIntentClassification (da)": 60.55,
+ "MassiveIntentClassification (nb)": 52.49,
+ "MassiveIntentClassification (sv)": 49.74,
+ "MassiveScenarioClassification (da)": 64.16,
+ "MassiveScenarioClassification (nb)": 54.59,
+ "MassiveScenarioClassification (sv)": 50.1,
"NoRecClassification": 48.3,
"NordicLangClassification": 77.68,
"NorwegianParliament": 58.78,
@@ -5520,12 +5554,12 @@
"accuracy": [
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"Model": "sentence-camembert-base",
- "AmazonReviewsClassification": 36.03,
- "MTOPDomainClassification": 77.1,
- "MTOPIntentClassification": 43.44,
- "MasakhaNEWSClassification": 70.36,
- "MassiveIntentClassification": 51.59,
- "MassiveScenarioClassification": 61.28
+ "AmazonReviewsClassification (fr)": 36.03,
+ "MTOPDomainClassification (fr)": 77.1,
+ "MTOPIntentClassification (fr)": 43.44,
+ "MasakhaNEWSClassification (fra)": 70.36,
+ "MassiveIntentClassification (fr)": 51.59,
+ "MassiveScenarioClassification (fr)": 61.28
}
]
},
@@ -5538,8 +5572,8 @@
"HALClusteringS2S": 20.22,
"MLSUMClusteringP2P": 35.98,
"MLSUMClusteringS2S": 27.05,
- "MasakhaNEWSClusteringP2P": 36.03,
- "MasakhaNEWSClusteringS2S": 30.77
+ "MasakhaNEWSClusteringP2P (fra)": 36.03,
+ "MasakhaNEWSClusteringS2S (fra)": 30.77
}
]
},
@@ -5547,13 +5581,13 @@
"max_ap": [
{
"Model": "sentence-camembert-base",
- "OpusparcusPC": 92.05,
- "PawsXPairClassification": 57.44
+ "OpusparcusPC (fr)": 92.05,
+ "PawsXPairClassification (fr)": 57.44
},
{
"Model": "sentence-camembert-base",
- "OpusparcusPC": 92.05,
- "PawsXPairClassification": 57.44
+ "OpusparcusPC (fr)": 92.05,
+ "PawsXPairClassification (fr)": 57.44
}
]
},
@@ -5572,9 +5606,9 @@
"Model": "sentence-camembert-base",
"AlloprofRetrieval": 21.94,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 13.36,
+ "MintakaRetrieval (fr)": 13.36,
"SyntecRetrieval": 68.62,
- "XPQARetrieval": 57.92
+ "XPQARetrieval (fr)": 57.92
}
]
},
@@ -5583,8 +5617,8 @@
{
"Model": "sentence-camembert-base",
"SICKFr": 74.18,
- "STS22": 77.54,
- "STSBenchmarkMultilingualSTS": 81.64
+ "STS22 (fr)": 77.54,
+ "STSBenchmarkMultilingualSTS (fr)": 81.64
}
]
},
@@ -5611,12 +5645,12 @@
"accuracy": [
{
"Model": "sentence-camembert-large",
- "AmazonReviewsClassification": 37.97,
- "MTOPDomainClassification": 85.74,
- "MTOPIntentClassification": 58.62,
- "MasakhaNEWSClassification": 80.62,
- "MassiveIntentClassification": 62.65,
- "MassiveScenarioClassification": 69.29
+ "AmazonReviewsClassification (fr)": 37.97,
+ "MTOPDomainClassification (fr)": 85.74,
+ "MTOPIntentClassification (fr)": 58.62,
+ "MasakhaNEWSClassification (fra)": 80.62,
+ "MassiveIntentClassification (fr)": 62.65,
+ "MassiveScenarioClassification (fr)": 69.29
}
]
},
@@ -5629,8 +5663,8 @@
"HALClusteringS2S": 23.9,
"MLSUMClusteringP2P": 42.04,
"MLSUMClusteringS2S": 32.29,
- "MasakhaNEWSClusteringP2P": 54.51,
- "MasakhaNEWSClusteringS2S": 44.73
+ "MasakhaNEWSClusteringP2P (fra)": 54.51,
+ "MasakhaNEWSClusteringS2S (fra)": 44.73
}
]
},
@@ -5638,13 +5672,13 @@
"max_ap": [
{
"Model": "sentence-camembert-large",
- "OpusparcusPC": 94.63,
- "PawsXPairClassification": 59.59
+ "OpusparcusPC (fr)": 94.63,
+ "PawsXPairClassification (fr)": 59.59
},
{
"Model": "sentence-camembert-large",
- "OpusparcusPC": 94.63,
- "PawsXPairClassification": 59.61
+ "OpusparcusPC (fr)": 94.63,
+ "PawsXPairClassification (fr)": 59.61
}
]
},
@@ -5663,9 +5697,9 @@
"Model": "sentence-camembert-large",
"AlloprofRetrieval": 31.62,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 21.87,
+ "MintakaRetrieval (fr)": 21.87,
"SyntecRetrieval": 81.11,
- "XPQARetrieval": 65.62
+ "XPQARetrieval (fr)": 65.62
}
]
},
@@ -5674,8 +5708,8 @@
{
"Model": "sentence-camembert-large",
"SICKFr": 77.7,
- "STS22": 81.73,
- "STSBenchmarkMultilingualSTS": 85.79
+ "STS22 (fr)": 81.73,
+ "STSBenchmarkMultilingualSTS (fr)": 85.79
}
]
},
@@ -6202,16 +6236,16 @@
"accuracy": [
{
"Model": "elser-v2",
- "AmazonCounterfactualClassification": 74.16,
+ "AmazonCounterfactualClassification (en)": 74.16,
"AmazonPolarityClassification": 61.91,
- "AmazonReviewsClassification": 32.06,
+ "AmazonReviewsClassification (en)": 32.06,
"Banking77Classification": 82.05,
"EmotionClassification": 46.65,
"ImdbClassification": 65.02,
- "MTOPDomainClassification": 93.17,
- "MTOPIntentClassification": 71.1,
- "MassiveIntentClassification": 68.48,
- "MassiveScenarioClassification": 74.98,
+ "MTOPDomainClassification (en)": 93.17,
+ "MTOPIntentClassification (en)": 71.1,
+ "MassiveIntentClassification (en)": 68.48,
+ "MassiveScenarioClassification (en)": 74.98,
"ToxicConversationsClassification": 68.15,
"TweetSentimentExtractionClassification": 53.57
}
@@ -6295,8 +6329,8 @@
"STS14": 74.96,
"STS15": 83.7,
"STS16": 80.55,
- "STS17": 85.74,
- "STS22": 67.5,
+ "STS17 (en-en)": 85.74,
+ "STS22 (en)": 67.5,
"STSBenchmark": 79.54
}
]
@@ -6461,8 +6495,122 @@
"f1": [
{
"Model": "LASER2",
- "BUCC": 97.7,
- "Tatoeba": 95.41
+ "BUCC (de-en)": 99.21,
+ "BUCC (fr-en)": 98.39,
+ "BUCC (ru-en)": 97.62,
+ "BUCC (zh-en)": 97.7,
+ "Tatoeba (afr-eng)": 92.59,
+ "Tatoeba (amh-eng)": 80.82,
+ "Tatoeba (ang-eng)": 25.22,
+ "Tatoeba (ara-eng)": 90.14,
+ "Tatoeba (arq-eng)": 26.63,
+ "Tatoeba (arz-eng)": 66.16,
+ "Tatoeba (ast-eng)": 76.35,
+ "Tatoeba (awa-eng)": 33.74,
+ "Tatoeba (aze-eng)": 82.41,
+ "Tatoeba (bel-eng)": 79.54,
+ "Tatoeba (ben-eng)": 89.43,
+ "Tatoeba (ber-eng)": 77.63,
+ "Tatoeba (bos-eng)": 95.86,
+ "Tatoeba (bre-eng)": 31.2,
+ "Tatoeba (bul-eng)": 93.57,
+ "Tatoeba (cat-eng)": 95.8,
+ "Tatoeba (cbk-eng)": 77.17,
+ "Tatoeba (ceb-eng)": 9.93,
+ "Tatoeba (ces-eng)": 95.52,
+ "Tatoeba (cha-eng)": 14.86,
+ "Tatoeba (cmn-eng)": 85.62,
+ "Tatoeba (cor-eng)": 4.45,
+ "Tatoeba (csb-eng)": 27.03,
+ "Tatoeba (cym-eng)": 5.85,
+ "Tatoeba (dan-eng)": 95.22,
+ "Tatoeba (deu-eng)": 99.07,
+ "Tatoeba (dsb-eng)": 42.34,
+ "Tatoeba (dtp-eng)": 7.39,
+ "Tatoeba (ell-eng)": 96.2,
+ "Tatoeba (epo-eng)": 96.61,
+ "Tatoeba (est-eng)": 96.43,
+ "Tatoeba (eus-eng)": 93.32,
+ "Tatoeba (fao-eng)": 57.04,
+ "Tatoeba (fin-eng)": 96.98,
+ "Tatoeba (fra-eng)": 94.28,
+ "Tatoeba (fry-eng)": 42.07,
+ "Tatoeba (gla-eng)": 1.52,
+ "Tatoeba (gle-eng)": 4.2,
+ "Tatoeba (glg-eng)": 96.14,
+ "Tatoeba (gsw-eng)": 27.52,
+ "Tatoeba (heb-eng)": 0.0,
+ "Tatoeba (hin-eng)": 95.32,
+ "Tatoeba (hrv-eng)": 96.72,
+ "Tatoeba (hsb-eng)": 45.75,
+ "Tatoeba (hun-eng)": 95.2,
+ "Tatoeba (hye-eng)": 88.72,
+ "Tatoeba (ido-eng)": 80.86,
+ "Tatoeba (ile-eng)": 87.88,
+ "Tatoeba (ina-eng)": 93.93,
+ "Tatoeba (ind-eng)": 92.98,
+ "Tatoeba (isl-eng)": 94.32,
+ "Tatoeba (ita-eng)": 94.32,
+ "Tatoeba (jav-eng)": 9.95,
+ "Tatoeba (jpn-eng)": 93.78,
+ "Tatoeba (kab-eng)": 65.88,
+ "Tatoeba (kat-eng)": 81.16,
+ "Tatoeba (kaz-eng)": 53.3,
+ "Tatoeba (khm-eng)": 74.19,
+ "Tatoeba (kor-eng)": 87.97,
+ "Tatoeba (kur-eng)": 19.09,
+ "Tatoeba (kzj-eng)": 4.46,
+ "Tatoeba (lat-eng)": 64.81,
+ "Tatoeba (lfn-eng)": 63.39,
+ "Tatoeba (lit-eng)": 96.2,
+ "Tatoeba (lvs-eng)": 95.33,
+ "Tatoeba (mal-eng)": 98.16,
+ "Tatoeba (mar-eng)": 92.93,
+ "Tatoeba (max-eng)": 36.96,
+ "Tatoeba (mhr-eng)": 6.86,
+ "Tatoeba (mkd-eng)": 93.63,
+ "Tatoeba (mon-eng)": 3.42,
+ "Tatoeba (nds-eng)": 77.13,
+ "Tatoeba (nld-eng)": 95.35,
+ "Tatoeba (nno-eng)": 72.75,
+ "Tatoeba (nob-eng)": 95.77,
+ "Tatoeba (nov-eng)": 60.02,
+ "Tatoeba (oci-eng)": 58.13,
+ "Tatoeba (orv-eng)": 23.24,
+ "Tatoeba (pam-eng)": 3.24,
+ "Tatoeba (pes-eng)": 93.13,
+ "Tatoeba (pms-eng)": 36.23,
+ "Tatoeba (pol-eng)": 97.32,
+ "Tatoeba (por-eng)": 94.54,
+ "Tatoeba (ron-eng)": 96.52,
+ "Tatoeba (rus-eng)": 92.58,
+ "Tatoeba (slk-eng)": 95.82,
+ "Tatoeba (slv-eng)": 95.4,
+ "Tatoeba (spa-eng)": 97.33,
+ "Tatoeba (sqi-eng)": 97.22,
+ "Tatoeba (srp-eng)": 93.64,
+ "Tatoeba (swe-eng)": 95.31,
+ "Tatoeba (swg-eng)": 33.1,
+ "Tatoeba (swh-eng)": 55.66,
+ "Tatoeba (tam-eng)": 87.32,
+ "Tatoeba (tat-eng)": 34.74,
+ "Tatoeba (tel-eng)": 96.72,
+ "Tatoeba (tgl-eng)": 63.19,
+ "Tatoeba (tha-eng)": 96.38,
+ "Tatoeba (tuk-eng)": 16.35,
+ "Tatoeba (tur-eng)": 98.03,
+ "Tatoeba (tzl-eng)": 36.56,
+ "Tatoeba (uig-eng)": 56.49,
+ "Tatoeba (ukr-eng)": 93.52,
+ "Tatoeba (urd-eng)": 84.23,
+ "Tatoeba (uzb-eng)": 23.2,
+ "Tatoeba (vie-eng)": 96.73,
+ "Tatoeba (war-eng)": 8.25,
+ "Tatoeba (wuu-eng)": 75.09,
+ "Tatoeba (xho-eng)": 4.68,
+ "Tatoeba (yid-eng)": 2.49,
+ "Tatoeba (yue-eng)": 87.75,
+ "Tatoeba (zsm-eng)": 95.41
}
]
},
@@ -6470,17 +6618,135 @@
"accuracy": [
{
"Model": "LASER2",
- "AmazonCounterfactualClassification": 68.76,
+ "AmazonCounterfactualClassification (de)": 67.82,
+ "AmazonCounterfactualClassification (en)": 76.84,
+ "AmazonCounterfactualClassification (en-ext)": 76.17,
+ "AmazonCounterfactualClassification (ja)": 68.76,
"AmazonPolarityClassification": 61.01,
- "AmazonReviewsClassification": 30.89,
+ "AmazonReviewsClassification (de)": 31.07,
+ "AmazonReviewsClassification (en)": 28.71,
+ "AmazonReviewsClassification (es)": 32.72,
+ "AmazonReviewsClassification (fr)": 31.12,
+ "AmazonReviewsClassification (ja)": 28.94,
+ "AmazonReviewsClassification (zh)": 30.89,
"Banking77Classification": 57.76,
"EmotionClassification": 24.83,
"ImdbClassification": 57.58,
- "MTOPDomainClassification": 72.68,
- "MTOPIntentClassification": 50.07,
- "MasakhaNEWSClassification": 65.9,
- "MassiveIntentClassification": 32.93,
- "MassiveScenarioClassification": 42.32,
+ "MTOPDomainClassification (de)": 74.08,
+ "MTOPDomainClassification (en)": 75.36,
+ "MTOPDomainClassification (es)": 73.47,
+ "MTOPDomainClassification (fr)": 72.26,
+ "MTOPDomainClassification (hi)": 72.95,
+ "MTOPDomainClassification (th)": 72.68,
+ "MTOPIntentClassification (de)": 51.62,
+ "MTOPIntentClassification (en)": 49.47,
+ "MTOPIntentClassification (es)": 52.75,
+ "MTOPIntentClassification (fr)": 50.12,
+ "MTOPIntentClassification (hi)": 45.55,
+ "MTOPIntentClassification (th)": 50.07,
+ "MasakhaNEWSClassification (fra)": 65.9,
+ "MassiveIntentClassification (af)": 38.01,
+ "MassiveIntentClassification (am)": 12.7,
+ "MassiveIntentClassification (ar)": 37.16,
+ "MassiveIntentClassification (az)": 19.98,
+ "MassiveIntentClassification (bn)": 42.51,
+ "MassiveIntentClassification (cy)": 17.33,
+ "MassiveIntentClassification (da)": 45.61,
+ "MassiveIntentClassification (de)": 44.79,
+ "MassiveIntentClassification (el)": 46.71,
+ "MassiveIntentClassification (en)": 47.91,
+ "MassiveIntentClassification (es)": 45.44,
+ "MassiveIntentClassification (fa)": 45.01,
+ "MassiveIntentClassification (fi)": 45.94,
+ "MassiveIntentClassification (fr)": 46.13,
+ "MassiveIntentClassification (he)": 42.55,
+ "MassiveIntentClassification (hi)": 40.2,
+ "MassiveIntentClassification (hu)": 42.77,
+ "MassiveIntentClassification (hy)": 28.07,
+ "MassiveIntentClassification (id)": 45.81,
+ "MassiveIntentClassification (is)": 39.86,
+ "MassiveIntentClassification (it)": 48.25,
+ "MassiveIntentClassification (ja)": 45.3,
+ "MassiveIntentClassification (jv)": 24.3,
+ "MassiveIntentClassification (ka)": 22.7,
+ "MassiveIntentClassification (km)": 22.48,
+ "MassiveIntentClassification (kn)": 4.32,
+ "MassiveIntentClassification (ko)": 44.26,
+ "MassiveIntentClassification (lv)": 39.75,
+ "MassiveIntentClassification (ml)": 41.33,
+ "MassiveIntentClassification (mn)": 16.2,
+ "MassiveIntentClassification (ms)": 43.23,
+ "MassiveIntentClassification (my)": 25.37,
+ "MassiveIntentClassification (nb)": 37.74,
+ "MassiveIntentClassification (nl)": 45.0,
+ "MassiveIntentClassification (pl)": 44.99,
+ "MassiveIntentClassification (pt)": 48.55,
+ "MassiveIntentClassification (ro)": 44.3,
+ "MassiveIntentClassification (ru)": 44.29,
+ "MassiveIntentClassification (sl)": 44.72,
+ "MassiveIntentClassification (sq)": 46.12,
+ "MassiveIntentClassification (sv)": 45.95,
+ "MassiveIntentClassification (sw)": 31.89,
+ "MassiveIntentClassification (ta)": 29.63,
+ "MassiveIntentClassification (te)": 36.03,
+ "MassiveIntentClassification (th)": 43.39,
+ "MassiveIntentClassification (tl)": 29.73,
+ "MassiveIntentClassification (tr)": 43.93,
+ "MassiveIntentClassification (ur)": 26.11,
+ "MassiveIntentClassification (vi)": 44.33,
+ "MassiveIntentClassification (zh-CN)": 40.62,
+ "MassiveIntentClassification (zh-TW)": 32.93,
+ "MassiveScenarioClassification (af)": 47.1,
+ "MassiveScenarioClassification (am)": 17.7,
+ "MassiveScenarioClassification (ar)": 45.21,
+ "MassiveScenarioClassification (az)": 28.21,
+ "MassiveScenarioClassification (bn)": 50.52,
+ "MassiveScenarioClassification (cy)": 22.58,
+ "MassiveScenarioClassification (da)": 54.87,
+ "MassiveScenarioClassification (de)": 54.34,
+ "MassiveScenarioClassification (el)": 55.47,
+ "MassiveScenarioClassification (en)": 55.92,
+ "MassiveScenarioClassification (es)": 52.77,
+ "MassiveScenarioClassification (fa)": 52.5,
+ "MassiveScenarioClassification (fi)": 52.63,
+ "MassiveScenarioClassification (fr)": 54.32,
+ "MassiveScenarioClassification (he)": 52.41,
+ "MassiveScenarioClassification (hi)": 47.37,
+ "MassiveScenarioClassification (hu)": 53.43,
+ "MassiveScenarioClassification (hy)": 33.57,
+ "MassiveScenarioClassification (id)": 54.38,
+ "MassiveScenarioClassification (is)": 49.78,
+ "MassiveScenarioClassification (it)": 54.84,
+ "MassiveScenarioClassification (ja)": 54.12,
+ "MassiveScenarioClassification (jv)": 32.71,
+ "MassiveScenarioClassification (ka)": 26.92,
+ "MassiveScenarioClassification (km)": 27.23,
+ "MassiveScenarioClassification (kn)": 10.06,
+ "MassiveScenarioClassification (ko)": 52.01,
+ "MassiveScenarioClassification (lv)": 44.82,
+ "MassiveScenarioClassification (ml)": 49.1,
+ "MassiveScenarioClassification (mn)": 21.51,
+ "MassiveScenarioClassification (ms)": 53.6,
+ "MassiveScenarioClassification (my)": 29.72,
+ "MassiveScenarioClassification (nb)": 43.9,
+ "MassiveScenarioClassification (nl)": 53.33,
+ "MassiveScenarioClassification (pl)": 52.92,
+ "MassiveScenarioClassification (pt)": 53.41,
+ "MassiveScenarioClassification (ro)": 50.48,
+ "MassiveScenarioClassification (ru)": 51.84,
+ "MassiveScenarioClassification (sl)": 51.29,
+ "MassiveScenarioClassification (sq)": 55.65,
+ "MassiveScenarioClassification (sv)": 54.64,
+ "MassiveScenarioClassification (sw)": 42.04,
+ "MassiveScenarioClassification (ta)": 36.72,
+ "MassiveScenarioClassification (te)": 42.08,
+ "MassiveScenarioClassification (th)": 52.15,
+ "MassiveScenarioClassification (tl)": 37.34,
+ "MassiveScenarioClassification (tr)": 52.56,
+ "MassiveScenarioClassification (ur)": 32.6,
+ "MassiveScenarioClassification (vi)": 50.97,
+ "MassiveScenarioClassification (zh-CN)": 50.22,
+ "MassiveScenarioClassification (zh-TW)": 42.32,
"ToxicConversationsClassification": 54.05,
"TweetSentimentExtractionClassification": 48.73
}
@@ -6499,8 +6765,8 @@
"HALClusteringS2S": 11.52,
"MLSUMClusteringP2P": 34.53,
"MLSUMClusteringS2S": 27.35,
- "MasakhaNEWSClusteringP2P": 32.04,
- "MasakhaNEWSClusteringS2S": 29.77,
+ "MasakhaNEWSClusteringP2P (fra)": 32.04,
+ "MasakhaNEWSClusteringS2S (fra)": 29.77,
"MedrxivClusteringP2P": 17.91,
"MedrxivClusteringS2S": 16.63,
"RedditClustering": 9.96,
@@ -6515,16 +6781,16 @@
"max_ap": [
{
"Model": "LASER2",
- "OpusparcusPC": 93.77,
- "PawsXPairClassification": 69.53,
+ "OpusparcusPC (fr)": 93.77,
+ "PawsXPairClassification (fr)": 69.53,
"SprintDuplicateQuestions": 65.54,
"TwitterSemEval2015": 59.57,
"TwitterURLCorpus": 81.47
},
{
"Model": "LASER2",
- "OpusparcusPC": 93.77,
- "PawsXPairClassification": 70.31,
+ "OpusparcusPC (fr)": 93.77,
+ "PawsXPairClassification (fr)": 70.31,
"SprintDuplicateQuestions": 68.48,
"TwitterSemEval2015": 59.57,
"TwitterURLCorpus": 81.47
@@ -6558,7 +6824,7 @@
"FiQA2018": 1.73,
"HotpotQA": 5.5,
"MSMARCO": 1.09,
- "MintakaRetrieval": 6.31,
+ "MintakaRetrieval (fr)": 6.31,
"NFCorpus": 2.44,
"NQ": 0.64,
"QuoraRetrieval": 71.14,
@@ -6567,7 +6833,7 @@
"SyntecRetrieval": 28.58,
"TRECCOVID": 10.97,
"Touche2020": 1.06,
- "XPQARetrieval": 42.59
+ "XPQARetrieval (fr)": 42.59
}
]
},
@@ -6583,10 +6849,37 @@
"STS14": 57.03,
"STS15": 71.57,
"STS16": 70.75,
- "STS17": 68.12,
- "STS22": 46.19,
+ "STS17 (ar-ar)": 67.47,
+ "STS17 (en-ar)": 65.05,
+ "STS17 (en-de)": 66.66,
+ "STS17 (en-en)": 76.73,
+ "STS17 (en-tr)": 70.05,
+ "STS17 (es-en)": 55.3,
+ "STS17 (es-es)": 79.67,
+ "STS17 (fr-en)": 70.82,
+ "STS17 (it-en)": 70.98,
+ "STS17 (ko-ko)": 70.52,
+ "STS17 (nl-en)": 68.12,
+ "STS22 (ar)": 42.57,
+ "STS22 (de)": 25.69,
+ "STS22 (de-en)": 32.35,
+ "STS22 (de-fr)": 37.41,
+ "STS22 (de-pl)": 15.67,
+ "STS22 (en)": 39.76,
+ "STS22 (es)": 54.92,
+ "STS22 (es-en)": 54.34,
+ "STS22 (es-it)": 42.21,
+ "STS22 (fr)": 58.61,
+ "STS22 (fr-pl)": 39.44,
+ "STS22 (it)": 60.31,
+ "STS22 (pl)": 18.34,
+ "STS22 (pl-en)": 53.63,
+ "STS22 (ru)": 39.24,
+ "STS22 (tr)": 36.97,
+ "STS22 (zh)": 49.41,
+ "STS22 (zh-en)": 46.19,
"STSBenchmark": 69.77,
- "STSBenchmarkMultilingualSTS": 69.82
+ "STSBenchmarkMultilingualSTS (fr)": 69.82
}
]
},
@@ -6716,12 +7009,12 @@
"accuracy": [
{
"Model": "flaubert_base_cased",
- "AmazonReviewsClassification": 24.9,
- "MTOPDomainClassification": 25.55,
- "MTOPIntentClassification": 9.49,
- "MasakhaNEWSClassification": 71.14,
- "MassiveIntentClassification": 6.98,
- "MassiveScenarioClassification": 11.41
+ "AmazonReviewsClassification (fr)": 24.9,
+ "MTOPDomainClassification (fr)": 25.55,
+ "MTOPIntentClassification (fr)": 9.49,
+ "MasakhaNEWSClassification (fra)": 71.14,
+ "MassiveIntentClassification (fr)": 6.98,
+ "MassiveScenarioClassification (fr)": 11.41
}
]
},
@@ -6734,8 +7027,8 @@
"HALClusteringS2S": 3.85,
"MLSUMClusteringP2P": 39.06,
"MLSUMClusteringS2S": 17.13,
- "MasakhaNEWSClusteringP2P": 41.61,
- "MasakhaNEWSClusteringS2S": 21.26
+ "MasakhaNEWSClusteringP2P (fra)": 41.61,
+ "MasakhaNEWSClusteringS2S (fra)": 21.26
}
]
},
@@ -6743,13 +7036,13 @@
"max_ap": [
{
"Model": "flaubert_base_cased",
- "OpusparcusPC": 82.15,
- "PawsXPairClassification": 51.89
+ "OpusparcusPC (fr)": 82.15,
+ "PawsXPairClassification (fr)": 51.89
},
{
"Model": "flaubert_base_cased",
- "OpusparcusPC": 82.15,
- "PawsXPairClassification": 52.19
+ "OpusparcusPC (fr)": 82.15,
+ "PawsXPairClassification (fr)": 52.19
}
]
},
@@ -6768,9 +7061,9 @@
"Model": "flaubert_base_cased",
"AlloprofRetrieval": 1.63,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 0.58,
+ "MintakaRetrieval (fr)": 0.58,
"SyntecRetrieval": 20.56,
- "XPQARetrieval": 6.59
+ "XPQARetrieval (fr)": 6.59
}
]
},
@@ -6779,8 +7072,8 @@
{
"Model": "flaubert_base_cased",
"SICKFr": 53.86,
- "STS22": 65.37,
- "STSBenchmarkMultilingualSTS": 37.14
+ "STS22 (fr)": 65.37,
+ "STSBenchmarkMultilingualSTS (fr)": 37.14
}
]
},
@@ -6807,12 +7100,12 @@
"accuracy": [
{
"Model": "flaubert_base_uncased",
- "AmazonReviewsClassification": 23.52,
- "MTOPDomainClassification": 27.74,
- "MTOPIntentClassification": 8.61,
- "MasakhaNEWSClassification": 62.61,
- "MassiveIntentClassification": 6.24,
- "MassiveScenarioClassification": 10.98
+ "AmazonReviewsClassification (fr)": 23.52,
+ "MTOPDomainClassification (fr)": 27.74,
+ "MTOPIntentClassification (fr)": 8.61,
+ "MasakhaNEWSClassification (fra)": 62.61,
+ "MassiveIntentClassification (fr)": 6.24,
+ "MassiveScenarioClassification (fr)": 10.98
}
]
},
@@ -6825,8 +7118,8 @@
"HALClusteringS2S": 1.8,
"MLSUMClusteringP2P": 33.22,
"MLSUMClusteringS2S": 14.9,
- "MasakhaNEWSClusteringP2P": 28.49,
- "MasakhaNEWSClusteringS2S": 22.58
+ "MasakhaNEWSClusteringP2P (fra)": 28.49,
+ "MasakhaNEWSClusteringS2S (fra)": 22.58
}
]
},
@@ -6834,13 +7127,13 @@
"max_ap": [
{
"Model": "flaubert_base_uncased",
- "OpusparcusPC": 82.0,
- "PawsXPairClassification": 52.78
+ "OpusparcusPC (fr)": 82.0,
+ "PawsXPairClassification (fr)": 52.78
},
{
"Model": "flaubert_base_uncased",
- "OpusparcusPC": 82.0,
- "PawsXPairClassification": 52.89
+ "OpusparcusPC (fr)": 82.0,
+ "PawsXPairClassification (fr)": 52.89
}
]
},
@@ -6859,9 +7152,9 @@
"Model": "flaubert_base_uncased",
"AlloprofRetrieval": 1.72,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 0.51,
+ "MintakaRetrieval (fr)": 0.51,
"SyntecRetrieval": 22.33,
- "XPQARetrieval": 9.09
+ "XPQARetrieval (fr)": 9.09
}
]
},
@@ -6870,8 +7163,8 @@
{
"Model": "flaubert_base_uncased",
"SICKFr": 41.9,
- "STS22": 55.15,
- "STSBenchmarkMultilingualSTS": 33.41
+ "STS22 (fr)": 55.15,
+ "STSBenchmarkMultilingualSTS (fr)": 33.41
}
]
},
@@ -6898,12 +7191,12 @@
"accuracy": [
{
"Model": "flaubert_large_cased",
- "AmazonReviewsClassification": 22.45,
- "MTOPDomainClassification": 24.27,
- "MTOPIntentClassification": 9.79,
- "MasakhaNEWSClassification": 55.64,
- "MassiveIntentClassification": 16.41,
- "MassiveScenarioClassification": 22.72
+ "AmazonReviewsClassification (fr)": 22.45,
+ "MTOPDomainClassification (fr)": 24.27,
+ "MTOPIntentClassification (fr)": 9.79,
+ "MasakhaNEWSClassification (fra)": 55.64,
+ "MassiveIntentClassification (fr)": 16.41,
+ "MassiveScenarioClassification (fr)": 22.72
}
]
},
@@ -6916,8 +7209,8 @@
"HALClusteringS2S": 5.26,
"MLSUMClusteringP2P": 38.09,
"MLSUMClusteringS2S": 18.71,
- "MasakhaNEWSClusteringP2P": 26.43,
- "MasakhaNEWSClusteringS2S": 24.68
+ "MasakhaNEWSClusteringP2P (fra)": 26.43,
+ "MasakhaNEWSClusteringS2S (fra)": 24.68
}
]
},
@@ -6925,13 +7218,13 @@
"max_ap": [
{
"Model": "flaubert_large_cased",
- "OpusparcusPC": 74.78,
- "PawsXPairClassification": 54.14
+ "OpusparcusPC (fr)": 74.78,
+ "PawsXPairClassification (fr)": 54.14
},
{
"Model": "flaubert_large_cased",
- "OpusparcusPC": 85.91,
- "PawsXPairClassification": 54.94
+ "OpusparcusPC (fr)": 85.91,
+ "PawsXPairClassification (fr)": 54.94
}
]
},
@@ -6950,9 +7243,9 @@
"Model": "flaubert_large_cased",
"AlloprofRetrieval": 0.58,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 0.26,
+ "MintakaRetrieval (fr)": 0.26,
"SyntecRetrieval": 1.58,
- "XPQARetrieval": 3.69
+ "XPQARetrieval (fr)": 3.69
}
]
},
@@ -6961,8 +7254,8 @@
{
"Model": "flaubert_large_cased",
"SICKFr": 34.6,
- "STS22": 48.52,
- "STSBenchmarkMultilingualSTS": 15.66
+ "STS22 (fr)": 48.52,
+ "STSBenchmarkMultilingualSTS (fr)": 15.66
}
]
},
@@ -6989,12 +7282,12 @@
"accuracy": [
{
"Model": "bert-base-multilingual-cased",
- "AmazonReviewsClassification": 29.39,
- "MTOPDomainClassification": 63.61,
- "MTOPIntentClassification": 37.84,
- "MasakhaNEWSClassification": 64.0,
- "MassiveIntentClassification": 37.3,
- "MassiveScenarioClassification": 44.47
+ "AmazonReviewsClassification (fr)": 29.39,
+ "MTOPDomainClassification (fr)": 63.61,
+ "MTOPIntentClassification (fr)": 37.84,
+ "MasakhaNEWSClassification (fra)": 64.0,
+ "MassiveIntentClassification (fr)": 37.3,
+ "MassiveScenarioClassification (fr)": 44.47
}
]
},
@@ -7007,8 +7300,8 @@
"HALClusteringS2S": 20.81,
"MLSUMClusteringP2P": 40.9,
"MLSUMClusteringS2S": 31.8,
- "MasakhaNEWSClusteringP2P": 24.23,
- "MasakhaNEWSClusteringS2S": 24.46
+ "MasakhaNEWSClusteringP2P (fra)": 24.23,
+ "MasakhaNEWSClusteringS2S (fra)": 24.46
}
]
},
@@ -7016,13 +7309,13 @@
"max_ap": [
{
"Model": "bert-base-multilingual-cased",
- "OpusparcusPC": 86.77,
- "PawsXPairClassification": 53.39
+ "OpusparcusPC (fr)": 86.77,
+ "PawsXPairClassification (fr)": 53.39
},
{
"Model": "bert-base-multilingual-cased",
- "OpusparcusPC": 87.76,
- "PawsXPairClassification": 53.41
+ "OpusparcusPC (fr)": 87.76,
+ "PawsXPairClassification (fr)": 53.41
}
]
},
@@ -7041,9 +7334,9 @@
"Model": "bert-base-multilingual-cased",
"AlloprofRetrieval": 1.63,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 3.55,
+ "MintakaRetrieval (fr)": 3.55,
"SyntecRetrieval": 18.95,
- "XPQARetrieval": 18.49
+ "XPQARetrieval (fr)": 18.49
}
]
},
@@ -7052,8 +7345,8 @@
{
"Model": "bert-base-multilingual-cased",
"SICKFr": 58.75,
- "STS22": 39.05,
- "STSBenchmarkMultilingualSTS": 52.25
+ "STS22 (fr)": 39.05,
+ "STSBenchmarkMultilingualSTS (fr)": 52.25
}
]
},
@@ -7080,12 +7373,12 @@
"accuracy": [
{
"Model": "bert-base-multilingual-uncased",
- "AmazonReviewsClassification": 29.02,
- "MTOPDomainClassification": 64.49,
- "MTOPIntentClassification": 39.4,
- "MasakhaNEWSClassification": 75.69,
- "MassiveIntentClassification": 38.01,
- "MassiveScenarioClassification": 43.63
+ "AmazonReviewsClassification (fr)": 29.02,
+ "MTOPDomainClassification (fr)": 64.49,
+ "MTOPIntentClassification (fr)": 39.4,
+ "MasakhaNEWSClassification (fra)": 75.69,
+ "MassiveIntentClassification (fr)": 38.01,
+ "MassiveScenarioClassification (fr)": 43.63
}
]
},
@@ -7098,8 +7391,8 @@
"HALClusteringS2S": 20.9,
"MLSUMClusteringP2P": 43.5,
"MLSUMClusteringS2S": 30.99,
- "MasakhaNEWSClusteringP2P": 49.71,
- "MasakhaNEWSClusteringS2S": 42.23
+ "MasakhaNEWSClusteringP2P (fra)": 49.71,
+ "MasakhaNEWSClusteringS2S (fra)": 42.23
}
]
},
@@ -7107,13 +7400,13 @@
"max_ap": [
{
"Model": "bert-base-multilingual-uncased",
- "OpusparcusPC": 87.43,
- "PawsXPairClassification": 53.22
+ "OpusparcusPC (fr)": 87.43,
+ "PawsXPairClassification (fr)": 53.22
},
{
"Model": "bert-base-multilingual-uncased",
- "OpusparcusPC": 87.53,
- "PawsXPairClassification": 53.33
+ "OpusparcusPC (fr)": 87.53,
+ "PawsXPairClassification (fr)": 53.33
}
]
},
@@ -7132,9 +7425,9 @@
"Model": "bert-base-multilingual-uncased",
"AlloprofRetrieval": 5.51,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 2.87,
+ "MintakaRetrieval (fr)": 2.87,
"SyntecRetrieval": 34.95,
- "XPQARetrieval": 26.12
+ "XPQARetrieval (fr)": 26.12
}
]
},
@@ -7143,8 +7436,8 @@
{
"Model": "bert-base-multilingual-uncased",
"SICKFr": 58.26,
- "STS22": 56.47,
- "STSBenchmarkMultilingualSTS": 54.97
+ "STS22 (fr)": 56.47,
+ "STSBenchmarkMultilingualSTS (fr)": 54.97
}
]
},
@@ -7171,16 +7464,16 @@
"accuracy": [
{
"Model": "bert-base-uncased",
- "AmazonCounterfactualClassification": 74.25,
+ "AmazonCounterfactualClassification (en)": 74.25,
"AmazonPolarityClassification": 71.33,
- "AmazonReviewsClassification": 33.56,
+ "AmazonReviewsClassification (en)": 33.56,
"Banking77Classification": 63.41,
"EmotionClassification": 35.28,
"ImdbClassification": 65.35,
- "MTOPDomainClassification": 82.63,
- "MTOPIntentClassification": 68.14,
- "MassiveIntentClassification": 59.88,
- "MassiveScenarioClassification": 64.28,
+ "MTOPDomainClassification (en)": 82.63,
+ "MTOPIntentClassification (en)": 68.14,
+ "MassiveIntentClassification (en)": 59.88,
+ "MassiveScenarioClassification (en)": 64.28,
"ToxicConversationsClassification": 70.0,
"TweetSentimentExtractionClassification": 51.81
}
@@ -7264,8 +7557,8 @@
"STS14": 47.73,
"STS15": 60.29,
"STS16": 63.73,
- "STS17": 64.1,
- "STS22": 56.37,
+ "STS17 (en-en)": 64.1,
+ "STS22 (en)": 56.37,
"STSBenchmark": 47.29
}
]
@@ -7293,16 +7586,16 @@
"accuracy": [
{
"Model": "text-embedding-preview-0409",
- "AmazonCounterfactualClassification": 75.34,
+ "AmazonCounterfactualClassification (en)": 75.34,
"AmazonPolarityClassification": 97.34,
- "AmazonReviewsClassification": 51.17,
+ "AmazonReviewsClassification (en)": 51.17,
"Banking77Classification": 88.62,
"EmotionClassification": 52.51,
"ImdbClassification": 95.65,
- "MTOPDomainClassification": 98.35,
- "MTOPIntentClassification": 83.43,
- "MassiveIntentClassification": 80.22,
- "MassiveScenarioClassification": 87.19,
+ "MTOPDomainClassification (en)": 98.35,
+ "MTOPIntentClassification (en)": 83.43,
+ "MassiveIntentClassification (en)": 80.22,
+ "MassiveScenarioClassification (en)": 87.19,
"ToxicConversationsClassification": 89.67,
"TweetSentimentExtractionClassification": 74.52
}
@@ -7411,8 +7704,8 @@
"STS14": 85.25,
"STS15": 89.66,
"STS16": 87.34,
- "STS17": 92.06,
- "STS22": 68.02,
+ "STS17 (en-en)": 92.06,
+ "STS22 (en)": 68.02,
"STSBenchmark": 88.99
}
]
@@ -7447,16 +7740,16 @@
"accuracy": [
{
"Model": "text-embedding-preview-0409-256",
- "AmazonCounterfactualClassification": 70.93,
+ "AmazonCounterfactualClassification (en)": 70.93,
"AmazonPolarityClassification": 97.34,
- "AmazonReviewsClassification": 48.47,
+ "AmazonReviewsClassification (en)": 48.47,
"Banking77Classification": 86.01,
"EmotionClassification": 51.53,
"ImdbClassification": 95.7,
- "MTOPDomainClassification": 98.02,
- "MTOPIntentClassification": 77.82,
- "MassiveIntentClassification": 75.67,
- "MassiveScenarioClassification": 85.16,
+ "MTOPDomainClassification (en)": 98.02,
+ "MTOPIntentClassification (en)": 77.82,
+ "MassiveIntentClassification (en)": 75.67,
+ "MassiveScenarioClassification (en)": 85.16,
"ToxicConversationsClassification": 88.33,
"TweetSentimentExtractionClassification": 72.97
}
@@ -7540,8 +7833,8 @@
"STS14": 85.44,
"STS15": 89.64,
"STS16": 87.24,
- "STS17": 90.46,
- "STS22": 67.99,
+ "STS17 (en-en)": 90.46,
+ "STS22 (en)": 67.99,
"STSBenchmark": 89.33
}
]
@@ -7824,8 +8117,12 @@
"DKHateClassification": 58.51,
"DanishPoliticalCommentsClassification": 28.43,
"LccSentimentClassification": 37.47,
- "MassiveIntentClassification": 41.34,
- "MassiveScenarioClassification": 50.0,
+ "MassiveIntentClassification (da)": 44.25,
+ "MassiveIntentClassification (nb)": 41.57,
+ "MassiveIntentClassification (sv)": 41.34,
+ "MassiveScenarioClassification (da)": 52.99,
+ "MassiveScenarioClassification (nb)": 50.33,
+ "MassiveScenarioClassification (sv)": 50.0,
"NoRecClassification": 42.0,
"NordicLangClassification": 59.34,
"NorwegianParliament": 57.42,
@@ -7936,8 +8233,12 @@
"DKHateClassification": 58.72,
"DanishPoliticalCommentsClassification": 28.67,
"LccSentimentClassification": 42.13,
- "MassiveIntentClassification": 40.69,
- "MassiveScenarioClassification": 50.97,
+ "MassiveIntentClassification (da)": 42.29,
+ "MassiveIntentClassification (nb)": 40.63,
+ "MassiveIntentClassification (sv)": 40.69,
+ "MassiveScenarioClassification (da)": 52.95,
+ "MassiveScenarioClassification (nb)": 51.91,
+ "MassiveScenarioClassification (sv)": 50.97,
"NoRecClassification": 41.83,
"NordicLangClassification": 58.3,
"NorwegianParliament": 57.26,
@@ -8157,10 +8458,9 @@
"AmazonReviewsClassification (en)": 55.97,
"AmazonReviewsClassification (de)": 54.94,
"AmazonReviewsClassification (es)": 51.62,
- "AmazonReviewsClassification (fr)": 50.27,
+ "AmazonReviewsClassification (fr)": 36.71,
"AmazonReviewsClassification (ja)": 51.32,
"AmazonReviewsClassification (zh)": 47.6,
- "AmazonReviewsClassification": 36.71,
"AngryTweetsClassification": 65.01,
"Banking77Classification": 81.41,
"CBD": 72.59,
@@ -8177,20 +8477,18 @@
"MTOPDomainClassification (en)": 95.33,
"MTOPDomainClassification (de)": 90.48,
"MTOPDomainClassification (es)": 90.22,
- "MTOPDomainClassification (fr)": 88.49,
+ "MTOPDomainClassification (fr)": 74.8,
"MTOPDomainClassification (hi)": 86.67,
"MTOPDomainClassification (th)": 83.42,
- "MTOPDomainClassification": 74.8,
"MTOPIntentClassification (en)": 78.99,
"MTOPIntentClassification (de)": 69.37,
"MTOPIntentClassification (es)": 73.45,
- "MTOPIntentClassification (fr)": 70.6,
+ "MTOPIntentClassification (fr)": 53.97,
"MTOPIntentClassification (hi)": 59.78,
"MTOPIntentClassification (th)": 62.24,
- "MTOPIntentClassification": 53.97,
"MasakhaNEWSClassification (amh)": 53.11,
"MasakhaNEWSClassification (eng)": 85.89,
- "MasakhaNEWSClassification (fra)": 82.94,
+ "MasakhaNEWSClassification (fra)": 80.59,
"MasakhaNEWSClassification (hau)": 76.73,
"MasakhaNEWSClassification (ibo)": 77.49,
"MasakhaNEWSClassification (lin)": 83.94,
@@ -8204,7 +8502,6 @@
"MasakhaNEWSClassification (tir)": 33.05,
"MasakhaNEWSClassification (xho)": 87.71,
"MasakhaNEWSClassification (yor)": 85.55,
- "MasakhaNEWSClassification": 80.59,
"MassiveIntentClassification (ro)": 63.81,
"MassiveIntentClassification (bn)": 58.21,
"MassiveIntentClassification (ja)": 71.72,
@@ -8227,7 +8524,7 @@
"MassiveIntentClassification (es)": 70.88,
"MassiveIntentClassification (ur)": 57.26,
"MassiveIntentClassification (ar)": 57.67,
- "MassiveIntentClassification (fr)": 71.66,
+ "MassiveIntentClassification (fr)": 46.39,
"MassiveIntentClassification (nb)": 65.35,
"MassiveIntentClassification (de)": 70.52,
"MassiveIntentClassification (az)": 58.14,
@@ -8256,7 +8553,6 @@
"MassiveIntentClassification (da)": 68.11,
"MassiveIntentClassification (en)": 77.0,
"MassiveIntentClassification (kn)": 45.41,
- "MassiveIntentClassification": 46.39,
"MassiveScenarioClassification (id)": 73.78,
"MassiveScenarioClassification (km)": 48.42,
"MassiveScenarioClassification (pt)": 74.21,
@@ -8291,7 +8587,7 @@
"MassiveScenarioClassification (fa)": 74.61,
"MassiveScenarioClassification (da)": 73.77,
"MassiveScenarioClassification (kn)": 55.85,
- "MassiveScenarioClassification (fr)": 75.65,
+ "MassiveScenarioClassification (fr)": 53.86,
"MassiveScenarioClassification (ms)": 72.85,
"MassiveScenarioClassification (ja)": 75.79,
"MassiveScenarioClassification (hi)": 69.65,
@@ -8308,7 +8604,6 @@
"MassiveScenarioClassification (it)": 74.88,
"MassiveScenarioClassification (sw)": 62.31,
"MassiveScenarioClassification (vi)": 71.92,
- "MassiveScenarioClassification": 53.86,
"MultilingualSentiment": 73.47,
"NoRecClassification": 55.0,
"NordicLangClassification": 69.13,
@@ -8338,7 +8633,7 @@
"MLSUMClusteringS2S": 32.0,
"MasakhaNEWSClusteringP2P (amh)": 47.57,
"MasakhaNEWSClusteringP2P (eng)": 71.97,
- "MasakhaNEWSClusteringP2P (fra)": 81.18,
+ "MasakhaNEWSClusteringP2P (fra)": 52.47,
"MasakhaNEWSClusteringP2P (hau)": 72.23,
"MasakhaNEWSClusteringP2P (ibo)": 66.65,
"MasakhaNEWSClusteringP2P (lin)": 75.85,
@@ -8352,10 +8647,9 @@
"MasakhaNEWSClusteringP2P (tir)": 46.94,
"MasakhaNEWSClusteringP2P (xho)": 59.17,
"MasakhaNEWSClusteringP2P (yor)": 65.86,
- "MasakhaNEWSClusteringP2P": 52.47,
"MasakhaNEWSClusteringS2S (amh)": 47.55,
"MasakhaNEWSClusteringS2S (eng)": 74.23,
- "MasakhaNEWSClusteringS2S (fra)": 74.9,
+ "MasakhaNEWSClusteringS2S (fra)": 49.2,
"MasakhaNEWSClusteringS2S (hau)": 40.78,
"MasakhaNEWSClusteringS2S (ibo)": 59.84,
"MasakhaNEWSClusteringS2S (lin)": 80.96,
@@ -8369,7 +8663,6 @@
"MasakhaNEWSClusteringS2S (tir)": 43.92,
"MasakhaNEWSClusteringS2S (xho)": 26.61,
"MasakhaNEWSClusteringS2S (yor)": 63.18,
- "MasakhaNEWSClusteringS2S": 49.2,
"RuSciBenchGRNTIClusteringP2P": 62.27,
"RuSciBenchOECDClusteringP2P": 54.13
}
@@ -8406,19 +8699,17 @@
"OpusparcusPC (de)": 97.63,
"OpusparcusPC (en)": 99.1,
"OpusparcusPC (fi)": 92.76,
- "OpusparcusPC (fr)": 95.23,
+ "OpusparcusPC (fr)": 89.71,
"OpusparcusPC (ru)": 91.44,
"OpusparcusPC (sv)": 95.54,
- "OpusparcusPC": 89.71,
"PSC": 99.53,
"PawsXPairClassification (de)": 58.67,
"PawsXPairClassification (en)": 67.34,
"PawsXPairClassification (es)": 60.24,
- "PawsXPairClassification (fr)": 62.03,
+ "PawsXPairClassification (fr)": 64.33,
"PawsXPairClassification (ja)": 52.15,
"PawsXPairClassification (ko)": 53.14,
"PawsXPairClassification (zh)": 59.4,
- "PawsXPairClassification": 64.33,
"SICK-E-PL": 79.94,
"SprintDuplicateQuestions": 95.86,
"TERRa": 60.81,
@@ -8427,8 +8718,8 @@
},
{
"Model": "e5-mistral-7b-instruct",
- "OpusparcusPC": 88.5,
- "PawsXPairClassification": 63.65
+ "OpusparcusPC (fr)": 88.5,
+ "PawsXPairClassification (fr)": 63.65
}
]
},
@@ -8517,12 +8808,11 @@
"MintakaRetrieval (ar)": 24.33,
"MintakaRetrieval (de)": 46.42,
"MintakaRetrieval (es)": 44.42,
- "MintakaRetrieval (fr)": 46.07,
+ "MintakaRetrieval (fr)": 3.57,
"MintakaRetrieval (hi)": 25.5,
"MintakaRetrieval (it)": 43.36,
"MintakaRetrieval (ja)": 33.72,
"MintakaRetrieval (pt)": 47.49,
- "MintakaRetrieval": 3.57,
"NFCorpus": 38.58,
"NFCorpus-PL": 30.97,
"PIQA": 39.83,
@@ -8587,7 +8877,7 @@
"XPQARetrieval (cmn-cmn)": 63.0,
"XPQARetrieval (eng-cmn)": 34.01,
"XPQARetrieval (cmn-eng)": 56.43,
- "XPQARetrieval": 41.29
+ "XPQARetrieval (fr)": 41.29
}
],
"recall_at_1": [
@@ -8697,8 +8987,8 @@
{
"Model": "e5-mistral-7b-instruct",
"SICKFr": 64.39,
- "STS22": 69.82,
- "STSBenchmarkMultilingualSTS": 61.87
+ "STS22 (fr)": 69.82,
+ "STSBenchmarkMultilingualSTS (fr)": 61.87
}
]
},
@@ -8808,8 +9098,12 @@
"DKHateClassification": 57.57,
"DanishPoliticalCommentsClassification": 28.37,
"LccSentimentClassification": 40.27,
- "MassiveIntentClassification": 40.07,
- "MassiveScenarioClassification": 47.06,
+ "MassiveIntentClassification (da)": 41.89,
+ "MassiveIntentClassification (nb)": 40.25,
+ "MassiveIntentClassification (sv)": 40.07,
+ "MassiveScenarioClassification (da)": 49.93,
+ "MassiveScenarioClassification (nb)": 48.58,
+ "MassiveScenarioClassification (sv)": 47.06,
"NoRecClassification": 41.84,
"NordicLangClassification": 53.47,
"NorwegianParliament": 56.57,
@@ -8990,10 +9284,9 @@
"AmazonReviewsClassification (en)": 47.54,
"AmazonReviewsClassification (de)": 44.37,
"AmazonReviewsClassification (es)": 43.38,
- "AmazonReviewsClassification (fr)": 41.55,
+ "AmazonReviewsClassification (fr)": 40.94,
"AmazonReviewsClassification (ja)": 39.57,
"AmazonReviewsClassification (zh)": 38.34,
- "AmazonReviewsClassification": 40.94,
"AngryTweetsClassification": 54.65,
"Banking77Classification": 73.53,
"CBD": 62.66,
@@ -9011,20 +9304,18 @@
"MTOPDomainClassification (en)": 90.9,
"MTOPDomainClassification (de)": 87.94,
"MTOPDomainClassification (es)": 85.96,
- "MTOPDomainClassification (fr)": 82.88,
+ "MTOPDomainClassification (fr)": 84.79,
"MTOPDomainClassification (hi)": 83.92,
"MTOPDomainClassification (th)": 83.94,
- "MTOPDomainClassification": 84.79,
"MTOPIntentClassification (en)": 61.6,
"MTOPIntentClassification (de)": 61.05,
"MTOPIntentClassification (es)": 55.36,
- "MTOPIntentClassification (fr)": 52.23,
+ "MTOPIntentClassification (fr)": 55.51,
"MTOPIntentClassification (hi)": 53.93,
"MTOPIntentClassification (th)": 58.69,
- "MTOPIntentClassification": 55.51,
"MasakhaNEWSClassification (amh)": 83.8,
"MasakhaNEWSClassification (eng)": 76.49,
- "MasakhaNEWSClassification (fra)": 76.35,
+ "MasakhaNEWSClassification (fra)": 79.69,
"MasakhaNEWSClassification (hau)": 74.63,
"MasakhaNEWSClassification (ibo)": 64.59,
"MasakhaNEWSClassification (lin)": 70.57,
@@ -9038,23 +9329,22 @@
"MasakhaNEWSClassification (tir)": 67.1,
"MasakhaNEWSClassification (xho)": 76.03,
"MasakhaNEWSClassification (yor)": 72.75,
- "MasakhaNEWSClassification": 79.69,
"MassiveIntentClassification (es)": 61.13,
"MassiveIntentClassification (de)": 59.82,
"MassiveIntentClassification (mn)": 46.8,
"MassiveIntentClassification (sq)": 51.07,
- "MassiveIntentClassification (sv)": 62.43,
+ "MassiveIntentClassification (sv)": 61.78,
"MassiveIntentClassification (tr)": 60.69,
"MassiveIntentClassification (hy)": 48.77,
"MassiveIntentClassification (az)": 51.36,
- "MassiveIntentClassification (da)": 60.69,
+ "MassiveIntentClassification (da)": 60.16,
"MassiveIntentClassification (my)": 46.67,
"MassiveIntentClassification (th)": 59.63,
"MassiveIntentClassification (sl)": 53.84,
"MassiveIntentClassification (sw)": 45.24,
- "MassiveIntentClassification (pl)": 60.98,
+ "MassiveIntentClassification (pl)": 61.04,
"MassiveIntentClassification (bn)": 51.69,
- "MassiveIntentClassification (nb)": 60.06,
+ "MassiveIntentClassification (nb)": 59.83,
"MassiveIntentClassification (fi)": 58.91,
"MassiveIntentClassification (jv)": 43.23,
"MassiveIntentClassification (id)": 58.7,
@@ -9090,11 +9380,10 @@
"MassiveIntentClassification (ml)": 53.75,
"MassiveIntentClassification (zh-TW)": 56.4,
"MassiveIntentClassification (ru)": 62.78,
- "MassiveIntentClassification": 61.04,
"MassiveScenarioClassification (az)": 55.15,
"MassiveScenarioClassification (fr)": 67.37,
"MassiveScenarioClassification (ko)": 67.9,
- "MassiveScenarioClassification (da)": 67.97,
+ "MassiveScenarioClassification (da)": 67.46,
"MassiveScenarioClassification (fi)": 64.94,
"MassiveScenarioClassification (ro)": 63.5,
"MassiveScenarioClassification (zh-TW)": 63.73,
@@ -9123,8 +9412,8 @@
"MassiveScenarioClassification (hy)": 53.63,
"MassiveScenarioClassification (tr)": 65.18,
"MassiveScenarioClassification (ja)": 69.89,
- "MassiveScenarioClassification (nb)": 66.57,
- "MassiveScenarioClassification (sv)": 69.35,
+ "MassiveScenarioClassification (nb)": 66.18,
+ "MassiveScenarioClassification (sv)": 69.15,
"MassiveScenarioClassification (id)": 63.6,
"MassiveScenarioClassification (th)": 67.37,
"MassiveScenarioClassification (de)": 68.4,
@@ -9138,11 +9427,10 @@
"MassiveScenarioClassification (af)": 58.95,
"MassiveScenarioClassification (el)": 65.38,
"MassiveScenarioClassification (km)": 38.45,
- "MassiveScenarioClassification (pl)": 66.12,
+ "MassiveScenarioClassification (pl)": 66.11,
"MassiveScenarioClassification (ur)": 56.74,
"MassiveScenarioClassification (hi)": 62.91,
"MassiveScenarioClassification (zh-CN)": 70.24,
- "MassiveScenarioClassification": 66.11,
"MultilingualSentiment": 65.28,
"NoRecClassification": 57.58,
"NordicLangClassification": 75.94,
@@ -9184,7 +9472,7 @@
"MLSUMClusteringS2S": 38.53,
"MasakhaNEWSClusteringP2P (amh)": 58.05,
"MasakhaNEWSClusteringP2P (eng)": 43.8,
- "MasakhaNEWSClusteringP2P (fra)": 58.28,
+ "MasakhaNEWSClusteringP2P (fra)": 47.91,
"MasakhaNEWSClusteringP2P (hau)": 44.78,
"MasakhaNEWSClusteringP2P (ibo)": 44.97,
"MasakhaNEWSClusteringP2P (lin)": 48.08,
@@ -9198,10 +9486,9 @@
"MasakhaNEWSClusteringP2P (tir)": 53.44,
"MasakhaNEWSClusteringP2P (xho)": 40.32,
"MasakhaNEWSClusteringP2P (yor)": 37.97,
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"MasakhaNEWSClusteringS2S (amh)": 49.38,
"MasakhaNEWSClusteringS2S (eng)": 45.76,
- "MasakhaNEWSClusteringS2S (fra)": 55.43,
+ "MasakhaNEWSClusteringS2S (fra)": 51.16,
"MasakhaNEWSClusteringS2S (hau)": 16.11,
"MasakhaNEWSClusteringS2S (ibo)": 24.38,
"MasakhaNEWSClusteringS2S (lin)": 44.8,
@@ -9215,7 +9502,6 @@
"MasakhaNEWSClusteringS2S (tir)": 51.66,
"MasakhaNEWSClusteringS2S (xho)": 29.65,
"MasakhaNEWSClusteringS2S (yor)": 30.12,
- "MasakhaNEWSClusteringS2S": 51.16,
"MedrxivClusteringP2P": 30.6,
"MedrxivClusteringS2S": 28.73,
"RedditClustering": 43.15,
@@ -9263,20 +9549,18 @@
"OpusparcusPC (de)": 95.83,
"OpusparcusPC (en)": 98.71,
"OpusparcusPC (fi)": 90.3,
- "OpusparcusPC (fr)": 92.12,
+ "OpusparcusPC (fr)": 92.73,
"OpusparcusPC (ru)": 86.82,
"OpusparcusPC (sv)": 93.05,
- "OpusparcusPC": 92.73,
"PPC": 88.01,
"PSC": 99.14,
"PawsXPairClassification (de)": 54.26,
"PawsXPairClassification (en)": 55.79,
"PawsXPairClassification (es)": 54.13,
- "PawsXPairClassification (fr)": 56.07,
+ "PawsXPairClassification (fr)": 56.93,
"PawsXPairClassification (ja)": 49.15,
"PawsXPairClassification (ko)": 51.01,
"PawsXPairClassification (zh)": 55.13,
- "PawsXPairClassification": 56.93,
"SICK-E-PL": 68.77,
"SprintDuplicateQuestions": 93.02,
"TERRa": 54.98,
@@ -9288,10 +9572,10 @@
"CDSC-E": 72.67,
"Cmnli": 74.51,
"Ocnli": 59.63,
- "OpusparcusPC": 92.72,
+ "OpusparcusPC (fr)": 92.72,
"PPC": 88.01,
"PSC": 99.14,
- "PawsXPairClassification": 56.93,
+ "PawsXPairClassification (fr)": 56.93,
"SICK-E-PL": 68.77
}
]
@@ -9374,12 +9658,11 @@
"MintakaRetrieval (ar)": 23.06,
"MintakaRetrieval (de)": 29.8,
"MintakaRetrieval (es)": 29.88,
- "MintakaRetrieval (fr)": 30.96,
+ "MintakaRetrieval (fr)": 23.46,
"MintakaRetrieval (hi)": 22.68,
"MintakaRetrieval (it)": 29.77,
"MintakaRetrieval (ja)": 22.98,
"MintakaRetrieval (pt)": 30.62,
- "MintakaRetrieval": 23.46,
"NFCorpus": 32.49,
"NFCorpus-PL": 25.98,
"NQ-PL": 44.8,
@@ -9446,7 +9729,7 @@
"XPQARetrieval (cmn-cmn)": 67.06,
"XPQARetrieval (eng-cmn)": 12.72,
"XPQARetrieval (cmn-eng)": 53.53,
- "XPQARetrieval": 65.81
+ "XPQARetrieval (fr)": 65.81
}
]
},
@@ -9585,9 +9868,10 @@
"QBQTC": 28.81,
"SICK-R-PL": 71.23,
"SICKFr": 76.23,
- "STS22": 34.07,
+ "STS22 (zh)": 65.64,
+ "STS22 (pl)": 34.07,
"STSB": 79.05,
- "STSBenchmarkMultilingualSTS": 80.62
+ "STSBenchmarkMultilingualSTS (fr)": 80.62
}
]
},
@@ -9763,10 +10047,9 @@
"AmazonReviewsClassification (en)": 49.2,
"AmazonReviewsClassification (de)": 46.5,
"AmazonReviewsClassification (es)": 44.35,
- "AmazonReviewsClassification (fr)": 42.55,
+ "AmazonReviewsClassification (fr)": 41.91,
"AmazonReviewsClassification (ja)": 41.71,
"AmazonReviewsClassification (zh)": 38.87,
- "AmazonReviewsClassification": 41.91,
"AngryTweetsClassification": 54.95,
"Banking77Classification": 75.88,
"CBD": 69.9,
@@ -9784,20 +10067,18 @@
"MTOPDomainClassification (en)": 91.81,
"MTOPDomainClassification (de)": 90.44,
"MTOPDomainClassification (es)": 88.34,
- "MTOPDomainClassification (fr)": 86.23,
+ "MTOPDomainClassification (fr)": 86.41,
"MTOPDomainClassification (hi)": 86.84,
"MTOPDomainClassification (th)": 86.88,
- "MTOPDomainClassification": 86.41,
"MTOPIntentClassification (en)": 64.29,
"MTOPIntentClassification (de)": 65.97,
"MTOPIntentClassification (es)": 61.9,
- "MTOPIntentClassification (fr)": 56.25,
+ "MTOPIntentClassification (fr)": 59.43,
"MTOPIntentClassification (hi)": 59.17,
"MTOPIntentClassification (th)": 62.59,
- "MTOPIntentClassification": 59.43,
"MasakhaNEWSClassification (amh)": 83.7,
"MasakhaNEWSClassification (eng)": 78.26,
- "MasakhaNEWSClassification (fra)": 76.11,
+ "MasakhaNEWSClassification (fra)": 79.38,
"MasakhaNEWSClassification (hau)": 76.17,
"MasakhaNEWSClassification (ibo)": 70.05,
"MasakhaNEWSClassification (lin)": 75.89,
@@ -9811,17 +10092,16 @@
"MasakhaNEWSClassification (tir)": 72.06,
"MasakhaNEWSClassification (xho)": 82.56,
"MasakhaNEWSClassification (yor)": 81.09,
- "MasakhaNEWSClassification": 79.38,
"MassiveIntentClassification (he)": 62.44,
"MassiveIntentClassification (id)": 63.51,
"MassiveIntentClassification (fi)": 64.28,
"MassiveIntentClassification (hu)": 64.0,
- "MassiveIntentClassification (nb)": 64.54,
+ "MassiveIntentClassification (nb)": 59.83,
"MassiveIntentClassification (vi)": 63.39,
"MassiveIntentClassification (ko)": 63.92,
"MassiveIntentClassification (ta)": 53.41,
"MassiveIntentClassification (te)": 53.96,
- "MassiveIntentClassification (da)": 63.7,
+ "MassiveIntentClassification (da)": 60.16,
"MassiveIntentClassification (ar)": 54.1,
"MassiveIntentClassification (en)": 68.51,
"MassiveIntentClassification (hi)": 60.93,
@@ -9840,12 +10120,12 @@
"MassiveIntentClassification (nl)": 65.0,
"MassiveIntentClassification (az)": 54.68,
"MassiveIntentClassification (ru)": 65.76,
- "MassiveIntentClassification (sv)": 66.52,
+ "MassiveIntentClassification (sv)": 61.78,
"MassiveIntentClassification (ro)": 59.76,
"MassiveIntentClassification (zh-TW)": 58.78,
"MassiveIntentClassification (jv)": 48.96,
"MassiveIntentClassification (fa)": 63.74,
- "MassiveIntentClassification (pl)": 65.09,
+ "MassiveIntentClassification (pl)": 65.07,
"MassiveIntentClassification (km)": 34.88,
"MassiveIntentClassification (ja)": 67.11,
"MassiveIntentClassification (kn)": 53.45,
@@ -9863,14 +10143,13 @@
"MassiveIntentClassification (mn)": 49.6,
"MassiveIntentClassification (hy)": 50.89,
"MassiveIntentClassification (pt)": 65.6,
- "MassiveIntentClassification": 65.07,
"MassiveScenarioClassification (en)": 73.04,
"MassiveScenarioClassification (ta)": 58.76,
"MassiveScenarioClassification (ml)": 63.17,
"MassiveScenarioClassification (pt)": 68.33,
"MassiveScenarioClassification (he)": 67.72,
"MassiveScenarioClassification (ar)": 61.0,
- "MassiveScenarioClassification (pl)": 69.83,
+ "MassiveScenarioClassification (pl)": 69.82,
"MassiveScenarioClassification (vi)": 68.91,
"MassiveScenarioClassification (ms)": 63.55,
"MassiveScenarioClassification (sl)": 65.33,
@@ -9888,11 +10167,11 @@
"MassiveScenarioClassification (ro)": 66.06,
"MassiveScenarioClassification (zh-CN)": 72.25,
"MassiveScenarioClassification (kn)": 59.36,
- "MassiveScenarioClassification (nb)": 70.44,
+ "MassiveScenarioClassification (nb)": 66.18,
"MassiveScenarioClassification (de)": 71.25,
"MassiveScenarioClassification (el)": 69.74,
"MassiveScenarioClassification (es)": 69.07,
- "MassiveScenarioClassification (da)": 71.18,
+ "MassiveScenarioClassification (da)": 67.46,
"MassiveScenarioClassification (ur)": 60.89,
"MassiveScenarioClassification (af)": 62.35,
"MassiveScenarioClassification (ko)": 70.54,
@@ -9900,7 +10179,7 @@
"MassiveScenarioClassification (ja)": 73.16,
"MassiveScenarioClassification (az)": 58.49,
"MassiveScenarioClassification (fa)": 67.55,
- "MassiveScenarioClassification (sv)": 72.77,
+ "MassiveScenarioClassification (sv)": 69.15,
"MassiveScenarioClassification (zh-TW)": 64.35,
"MassiveScenarioClassification (ka)": 47.82,
"MassiveScenarioClassification (nl)": 71.11,
@@ -9915,7 +10194,6 @@
"MassiveScenarioClassification (lv)": 64.28,
"MassiveScenarioClassification (jv)": 56.24,
"MassiveScenarioClassification (id)": 69.43,
- "MassiveScenarioClassification": 69.82,
"MultilingualSentiment": 68.58,
"NoRecClassification": 62.76,
"NordicLangClassification": 82.29,
@@ -9955,7 +10233,7 @@
"MLSUMClusteringS2S": 37.65,
"MasakhaNEWSClusteringP2P (amh)": 67.16,
"MasakhaNEWSClusteringP2P (eng)": 61.1,
- "MasakhaNEWSClusteringP2P (fra)": 41.66,
+ "MasakhaNEWSClusteringP2P (fra)": 40.94,
"MasakhaNEWSClusteringP2P (hau)": 60.7,
"MasakhaNEWSClusteringP2P (ibo)": 48.41,
"MasakhaNEWSClusteringP2P (lin)": 57.69,
@@ -9969,10 +10247,9 @@
"MasakhaNEWSClusteringP2P (tir)": 54.21,
"MasakhaNEWSClusteringP2P (xho)": 41.12,
"MasakhaNEWSClusteringP2P (yor)": 36.22,
- "MasakhaNEWSClusteringP2P": 40.94,
"MasakhaNEWSClusteringS2S (amh)": 47.24,
"MasakhaNEWSClusteringS2S (eng)": 53.93,
- "MasakhaNEWSClusteringS2S (fra)": 39.84,
+ "MasakhaNEWSClusteringS2S (fra)": 30.56,
"MasakhaNEWSClusteringS2S (hau)": 19.24,
"MasakhaNEWSClusteringS2S (ibo)": 28.88,
"MasakhaNEWSClusteringS2S (lin)": 42.22,
@@ -9986,7 +10263,6 @@
"MasakhaNEWSClusteringS2S (tir)": 50.51,
"MasakhaNEWSClusteringS2S (xho)": 30.98,
"MasakhaNEWSClusteringS2S (yor)": 34.09,
- "MasakhaNEWSClusteringS2S": 30.56,
"MedrxivClusteringP2P": 31.7,
"MedrxivClusteringS2S": 29.76,
"RedditClustering": 46.91,
@@ -10034,20 +10310,18 @@
"OpusparcusPC (de)": 97.27,
"OpusparcusPC (en)": 98.74,
"OpusparcusPC (fi)": 94.26,
- "OpusparcusPC (fr)": 93.68,
+ "OpusparcusPC (fr)": 93.89,
"OpusparcusPC (ru)": 89.64,
"OpusparcusPC (sv)": 94.98,
- "OpusparcusPC": 93.89,
"PPC": 92.18,
"PSC": 99.39,
"PawsXPairClassification (de)": 57.14,
"PawsXPairClassification (en)": 62.97,
"PawsXPairClassification (es)": 56.87,
- "PawsXPairClassification (fr)": 58.69,
+ "PawsXPairClassification (fr)": 58.61,
"PawsXPairClassification (ja)": 50.84,
"PawsXPairClassification (ko)": 52.22,
"PawsXPairClassification (zh)": 56.95,
- "PawsXPairClassification": 58.61,
"SICK-E-PL": 75.96,
"SprintDuplicateQuestions": 93.14,
"TERRa": 58.42,
@@ -10059,10 +10333,10 @@
"CDSC-E": 74.47,
"Cmnli": 78.18,
"Ocnli": 61.6,
- "OpusparcusPC": 93.89,
+ "OpusparcusPC (fr)": 93.89,
"PPC": 92.18,
"PSC": 99.39,
- "PawsXPairClassification": 58.5,
+ "PawsXPairClassification (fr)": 58.5,
"SICK-E-PL": 75.96
}
]
@@ -10145,12 +10419,11 @@
"MintakaRetrieval (ar)": 26.5,
"MintakaRetrieval (de)": 32.77,
"MintakaRetrieval (es)": 34.23,
- "MintakaRetrieval (fr)": 34.24,
+ "MintakaRetrieval (fr)": 25.2,
"MintakaRetrieval (hi)": 27.45,
"MintakaRetrieval (it)": 33.84,
"MintakaRetrieval (ja)": 26.45,
"MintakaRetrieval (pt)": 35.9,
- "MintakaRetrieval": 25.2,
"NFCorpus": 33.95,
"NFCorpus-PL": 30.24,
"NQ-PL": 52.79,
@@ -10217,7 +10490,7 @@
"XPQARetrieval (cmn-cmn)": 66.27,
"XPQARetrieval (eng-cmn)": 26.24,
"XPQARetrieval (cmn-eng)": 55.15,
- "XPQARetrieval": 66.15
+ "XPQARetrieval (fr)": 66.15
}
]
},
@@ -10356,9 +10629,10 @@
"QBQTC": 29.77,
"SICK-R-PL": 75.08,
"SICKFr": 78.78,
- "STS22": 34.66,
+ "STS22 (zh)": 65.64,
+ "STS22 (pl)": 34.66,
"STSB": 81.08,
- "STSBenchmarkMultilingualSTS": 82.53
+ "STSBenchmarkMultilingualSTS (fr)": 82.53
}
]
},
@@ -11231,10 +11505,9 @@
"AmazonReviewsClassification (en)": 45.75,
"AmazonReviewsClassification (de)": 41.07,
"AmazonReviewsClassification (es)": 41.37,
- "AmazonReviewsClassification (fr)": 39.47,
+ "AmazonReviewsClassification (fr)": 39.68,
"AmazonReviewsClassification (ja)": 38.55,
"AmazonReviewsClassification (zh)": 38.31,
- "AmazonReviewsClassification": 39.68,
"AngryTweetsClassification": 53.57,
"Banking77Classification": 70.44,
"CBD": 63.25,
@@ -11252,20 +11525,18 @@
"MTOPDomainClassification (en)": 88.99,
"MTOPDomainClassification (de)": 86.15,
"MTOPDomainClassification (es)": 85.53,
- "MTOPDomainClassification (fr)": 81.5,
+ "MTOPDomainClassification (fr)": 81.2,
"MTOPDomainClassification (hi)": 84.07,
"MTOPDomainClassification (th)": 83.16,
- "MTOPDomainClassification": 81.2,
"MTOPIntentClassification (en)": 56.69,
"MTOPIntentClassification (de)": 55.88,
"MTOPIntentClassification (es)": 53.15,
- "MTOPIntentClassification (fr)": 44.35,
+ "MTOPIntentClassification (fr)": 46.01,
"MTOPIntentClassification (hi)": 52.26,
"MTOPIntentClassification (th)": 54.61,
- "MTOPIntentClassification": 46.01,
"MasakhaNEWSClassification (amh)": 84.28,
"MasakhaNEWSClassification (eng)": 75.61,
- "MasakhaNEWSClassification (fra)": 74.67,
+ "MasakhaNEWSClassification (fra)": 77.65,
"MasakhaNEWSClassification (hau)": 73.08,
"MasakhaNEWSClassification (ibo)": 63.9,
"MasakhaNEWSClassification (lin)": 73.37,
@@ -11279,7 +11550,6 @@
"MasakhaNEWSClassification (tir)": 68.01,
"MasakhaNEWSClassification (xho)": 72.22,
"MasakhaNEWSClassification (yor)": 73.84,
- "MasakhaNEWSClassification": 77.65,
"MassiveIntentClassification (is)": 41.53,
"MassiveIntentClassification (tl)": 48.7,
"MassiveIntentClassification (he)": 51.11,
@@ -11289,7 +11559,7 @@
"MassiveIntentClassification (sl)": 47.71,
"MassiveIntentClassification (af)": 48.74,
"MassiveIntentClassification (de)": 55.52,
- "MassiveIntentClassification (pl)": 57.33,
+ "MassiveIntentClassification (pl)": 57.4,
"MassiveIntentClassification (en)": 63.87,
"MassiveIntentClassification (fi)": 55.14,
"MassiveIntentClassification (lv)": 44.93,
@@ -11298,10 +11568,10 @@
"MassiveIntentClassification (mn)": 47.38,
"MassiveIntentClassification (it)": 58.8,
"MassiveIntentClassification (ko)": 57.12,
- "MassiveIntentClassification (nb)": 55.36,
+ "MassiveIntentClassification (nb)": 53.96,
"MassiveIntentClassification (es)": 59.19,
"MassiveIntentClassification (ja)": 61.58,
- "MassiveIntentClassification (da)": 56.12,
+ "MassiveIntentClassification (da)": 54.63,
"MassiveIntentClassification (zh-TW)": 53.75,
"MassiveIntentClassification (id)": 56.2,
"MassiveIntentClassification (ka)": 39.52,
@@ -11328,16 +11598,15 @@
"MassiveIntentClassification (sq)": 48.68,
"MassiveIntentClassification (vi)": 56.19,
"MassiveIntentClassification (jv)": 42.96,
- "MassiveIntentClassification (sv)": 58.2,
+ "MassiveIntentClassification (sv)": 56.6,
"MassiveIntentClassification (hy)": 47.89,
"MassiveIntentClassification (el)": 54.14,
- "MassiveIntentClassification": 57.4,
"MassiveScenarioClassification (de)": 65.88,
- "MassiveScenarioClassification (nb)": 61.96,
+ "MassiveScenarioClassification (nb)": 59.9,
"MassiveScenarioClassification (th)": 65.72,
"MassiveScenarioClassification (ka)": 44.96,
"MassiveScenarioClassification (jv)": 51.39,
- "MassiveScenarioClassification (sv)": 67.33,
+ "MassiveScenarioClassification (sv)": 65.54,
"MassiveScenarioClassification (fr)": 63.9,
"MassiveScenarioClassification (tl)": 55.3,
"MassiveScenarioClassification (hu)": 61.93,
@@ -11350,7 +11619,7 @@
"MassiveScenarioClassification (km)": 39.01,
"MassiveScenarioClassification (el)": 62.29,
"MassiveScenarioClassification (bn)": 57.38,
- "MassiveScenarioClassification (da)": 64.03,
+ "MassiveScenarioClassification (da)": 62.34,
"MassiveScenarioClassification (ml)": 60.31,
"MassiveScenarioClassification (ro)": 60.0,
"MassiveScenarioClassification (ru)": 63.89,
@@ -11382,8 +11651,7 @@
"MassiveScenarioClassification (vi)": 62.67,
"MassiveScenarioClassification (he)": 59.22,
"MassiveScenarioClassification (ar)": 54.56,
- "MassiveScenarioClassification (pl)": 64.27,
- "MassiveScenarioClassification": 64.25,
+ "MassiveScenarioClassification (pl)": 64.25,
"MultilingualSentiment": 64.74,
"NoRecClassification": 53.96,
"NordicLangClassification": 75.15,
@@ -11423,7 +11691,7 @@
"MLSUMClusteringS2S": 37.61,
"MasakhaNEWSClusteringP2P (amh)": 66.2,
"MasakhaNEWSClusteringP2P (eng)": 50.08,
- "MasakhaNEWSClusteringP2P (fra)": 56.32,
+ "MasakhaNEWSClusteringP2P (fra)": 40.12,
"MasakhaNEWSClusteringP2P (hau)": 53.63,
"MasakhaNEWSClusteringP2P (ibo)": 49.19,
"MasakhaNEWSClusteringP2P (lin)": 55.06,
@@ -11437,10 +11705,9 @@
"MasakhaNEWSClusteringP2P (tir)": 57.68,
"MasakhaNEWSClusteringP2P (xho)": 39.96,
"MasakhaNEWSClusteringP2P (yor)": 26.56,
- "MasakhaNEWSClusteringP2P": 40.12,
"MasakhaNEWSClusteringS2S (amh)": 55.48,
"MasakhaNEWSClusteringS2S (eng)": 37.79,
- "MasakhaNEWSClusteringS2S (fra)": 35.8,
+ "MasakhaNEWSClusteringS2S (fra)": 39.22,
"MasakhaNEWSClusteringS2S (hau)": 20.22,
"MasakhaNEWSClusteringS2S (ibo)": 35.67,
"MasakhaNEWSClusteringS2S (lin)": 41.12,
@@ -11454,7 +11721,6 @@
"MasakhaNEWSClusteringS2S (tir)": 50.51,
"MasakhaNEWSClusteringS2S (xho)": 37.26,
"MasakhaNEWSClusteringS2S (yor)": 23.38,
- "MasakhaNEWSClusteringS2S": 39.22,
"MedrxivClusteringP2P": 30.72,
"MedrxivClusteringS2S": 27.0,
"RedditClustering": 40.12,
@@ -11502,20 +11768,18 @@
"OpusparcusPC (de)": 94.9,
"OpusparcusPC (en)": 98.42,
"OpusparcusPC (fi)": 88.29,
- "OpusparcusPC (fr)": 91.77,
+ "OpusparcusPC (fr)": 92.52,
"OpusparcusPC (ru)": 84.79,
"OpusparcusPC (sv)": 91.07,
- "OpusparcusPC": 92.52,
"PPC": 86.79,
"PSC": 99.24,
"PawsXPairClassification (de)": 52.19,
"PawsXPairClassification (en)": 54.01,
"PawsXPairClassification (es)": 51.46,
- "PawsXPairClassification (fr)": 52.77,
+ "PawsXPairClassification (fr)": 55.72,
"PawsXPairClassification (ja)": 48.41,
"PawsXPairClassification (ko)": 49.98,
"PawsXPairClassification (zh)": 54.03,
- "PawsXPairClassification": 55.72,
"SICK-E-PL": 66.34,
"SprintDuplicateQuestions": 92.42,
"TERRa": 55.14,
@@ -11527,10 +11791,10 @@
"CDSC-E": 69.7,
"Cmnli": 72.12,
"Ocnli": 60.77,
- "OpusparcusPC": 92.52,
+ "OpusparcusPC (fr)": 92.52,
"PPC": 86.72,
"PSC": 99.24,
- "PawsXPairClassification": 55.68,
+ "PawsXPairClassification (fr)": 55.68,
"SICK-E-PL": 66.34
}
]
@@ -11613,12 +11877,11 @@
"MintakaRetrieval (ar)": 21.22,
"MintakaRetrieval (de)": 25.6,
"MintakaRetrieval (es)": 26.4,
- "MintakaRetrieval (fr)": 25.0,
+ "MintakaRetrieval (fr)": 22.53,
"MintakaRetrieval (hi)": 21.1,
"MintakaRetrieval (it)": 26.25,
"MintakaRetrieval (ja)": 20.69,
"MintakaRetrieval (pt)": 24.44,
- "MintakaRetrieval": 22.53,
"NFCorpus": 31.0,
"NFCorpus-PL": 26.48,
"NQ-PL": 40.46,
@@ -11685,7 +11948,7 @@
"XPQARetrieval (cmn-cmn)": 63.98,
"XPQARetrieval (eng-cmn)": 16.52,
"XPQARetrieval (cmn-eng)": 45.32,
- "XPQARetrieval": 57.47
+ "XPQARetrieval (fr)": 57.47
}
]
},
@@ -11824,9 +12087,9 @@
"QBQTC": 30.25,
"SICK-R-PL": 69.46,
"SICKFr": 75.62,
- "STS22": 35.8,
+ "STS22 (pl)": 35.8,
"STSB": 77.73,
- "STSBenchmarkMultilingualSTS": 79.32
+ "STSBenchmarkMultilingualSTS (fr)": 79.32
}
]
},
@@ -11878,8 +12141,8 @@
"Model": "herbert-base-retrieval-v2",
"AllegroReviews": 34.11,
"CBD": 68.35,
- "MassiveIntentClassification": 65.53,
- "MassiveScenarioClassification": 68.51,
+ "MassiveIntentClassification (pl)": 65.53,
+ "MassiveScenarioClassification (pl)": 68.51,
"PAC": 68.4,
"PolEmo2.0-IN": 64.18,
"PolEmo2.0-OUT": 45.73
@@ -11939,7 +12202,7 @@
"Model": "herbert-base-retrieval-v2",
"CDSC-R": 86.18,
"SICK-R-PL": 64.67,
- "STS22": 39.73
+ "STS22 (pl)": 39.73
}
]
},
@@ -11963,8 +12226,8 @@
"Model": "silver-retriever-base-v1",
"AllegroReviews": 33.35,
"CBD": 68.51,
- "MassiveIntentClassification": 66.63,
- "MassiveScenarioClassification": 69.97,
+ "MassiveIntentClassification (pl)": 66.63,
+ "MassiveScenarioClassification (pl)": 69.97,
"PAC": 66.26,
"PolEmo2.0-IN": 63.52,
"PolEmo2.0-OUT": 44.7
@@ -12024,7 +12287,7 @@
"Model": "silver-retriever-base-v1",
"CDSC-R": 89.09,
"SICK-R-PL": 67.26,
- "STS22": 38.69
+ "STS22 (pl)": 38.69
}
]
},
@@ -12046,12 +12309,12 @@
"accuracy": [
{
"Model": "udever-bloom-1b1",
- "AmazonReviewsClassification": 35.12,
- "MTOPDomainClassification": 69.24,
- "MTOPIntentClassification": 51.25,
- "MasakhaNEWSClassification": 80.83,
- "MassiveIntentClassification": 43.21,
- "MassiveScenarioClassification": 49.78
+ "AmazonReviewsClassification (fr)": 35.12,
+ "MTOPDomainClassification (fr)": 69.24,
+ "MTOPIntentClassification (fr)": 51.25,
+ "MasakhaNEWSClassification (fra)": 80.83,
+ "MassiveIntentClassification (fr)": 43.21,
+ "MassiveScenarioClassification (fr)": 49.78
}
]
},
@@ -12064,8 +12327,8 @@
"HALClusteringS2S": 13.86,
"MLSUMClusteringP2P": 44.11,
"MLSUMClusteringS2S": 30.47,
- "MasakhaNEWSClusteringP2P": 40.2,
- "MasakhaNEWSClusteringS2S": 27.35
+ "MasakhaNEWSClusteringP2P (fra)": 40.2,
+ "MasakhaNEWSClusteringS2S (fra)": 27.35
}
]
},
@@ -12073,13 +12336,13 @@
"max_ap": [
{
"Model": "udever-bloom-1b1",
- "OpusparcusPC": 85.54,
- "PawsXPairClassification": 61.99
+ "OpusparcusPC (fr)": 85.54,
+ "PawsXPairClassification (fr)": 61.99
},
{
"Model": "udever-bloom-1b1",
- "OpusparcusPC": 90.15,
- "PawsXPairClassification": 63.95
+ "OpusparcusPC (fr)": 90.15,
+ "PawsXPairClassification (fr)": 63.95
}
]
},
@@ -12098,9 +12361,9 @@
"Model": "udever-bloom-1b1",
"AlloprofRetrieval": 12.37,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 2.78,
+ "MintakaRetrieval (fr)": 2.78,
"SyntecRetrieval": 40.57,
- "XPQARetrieval": 33.82
+ "XPQARetrieval (fr)": 33.82
}
]
},
@@ -12109,8 +12372,8 @@
{
"Model": "udever-bloom-1b1",
"SICKFr": 59.94,
- "STS22": 77.1,
- "STSBenchmarkMultilingualSTS": 49.97
+ "STS22 (fr)": 77.1,
+ "STSBenchmarkMultilingualSTS (fr)": 49.97
}
]
},
@@ -12137,12 +12400,12 @@
"accuracy": [
{
"Model": "udever-bloom-560m",
- "AmazonReviewsClassification": 26.85,
- "MTOPDomainClassification": 34.99,
- "MTOPIntentClassification": 15.76,
- "MasakhaNEWSClassification": 67.94,
- "MassiveIntentClassification": 15.09,
- "MassiveScenarioClassification": 21.67
+ "AmazonReviewsClassification (fr)": 26.85,
+ "MTOPDomainClassification (fr)": 34.99,
+ "MTOPIntentClassification (fr)": 15.76,
+ "MasakhaNEWSClassification (fra)": 67.94,
+ "MassiveIntentClassification (fr)": 15.09,
+ "MassiveScenarioClassification (fr)": 21.67
}
]
},
@@ -12155,8 +12418,8 @@
"HALClusteringS2S": 7.68,
"MLSUMClusteringP2P": 36.43,
"MLSUMClusteringS2S": 25.26,
- "MasakhaNEWSClusteringP2P": 37.57,
- "MasakhaNEWSClusteringS2S": 20.58
+ "MasakhaNEWSClusteringP2P (fra)": 37.57,
+ "MasakhaNEWSClusteringS2S (fra)": 20.58
}
]
},
@@ -12164,13 +12427,13 @@
"max_ap": [
{
"Model": "udever-bloom-560m",
- "OpusparcusPC": 82.1,
- "PawsXPairClassification": 59.69
+ "OpusparcusPC (fr)": 82.1,
+ "PawsXPairClassification (fr)": 59.69
},
{
"Model": "udever-bloom-560m",
- "OpusparcusPC": 85.87,
- "PawsXPairClassification": 61.99
+ "OpusparcusPC (fr)": 85.87,
+ "PawsXPairClassification (fr)": 61.99
}
]
},
@@ -12189,9 +12452,9 @@
"Model": "udever-bloom-560m",
"AlloprofRetrieval": 1.98,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 0.48,
+ "MintakaRetrieval (fr)": 0.48,
"SyntecRetrieval": 24.45,
- "XPQARetrieval": 12.98
+ "XPQARetrieval (fr)": 12.98
}
]
},
@@ -12200,8 +12463,8 @@
{
"Model": "udever-bloom-560m",
"SICKFr": 54.54,
- "STS22": 61.35,
- "STSBenchmarkMultilingualSTS": 36.78
+ "STS22 (fr)": 61.35,
+ "STSBenchmarkMultilingualSTS (fr)": 36.78
}
]
},
@@ -12316,8 +12579,12 @@
"DKHateClassification": 59.45,
"DanishPoliticalCommentsClassification": 31.89,
"LccSentimentClassification": 47.93,
- "MassiveIntentClassification": 27.58,
- "MassiveScenarioClassification": 29.93,
+ "MassiveIntentClassification (da)": 26.3,
+ "MassiveIntentClassification (nb)": 24.6,
+ "MassiveIntentClassification (sv)": 27.58,
+ "MassiveScenarioClassification (da)": 28.93,
+ "MassiveScenarioClassification (nb)": 27.3,
+ "MassiveScenarioClassification (sv)": 29.93,
"NoRecClassification": 45.44,
"NordicLangClassification": 57.82,
"NorwegianParliament": 53.25,
@@ -12368,8 +12635,12 @@
"DKHateClassification": 58.78,
"DanishPoliticalCommentsClassification": 34.14,
"LccSentimentClassification": 54.07,
- "MassiveIntentClassification": 52.08,
- "MassiveScenarioClassification": 53.53,
+ "MassiveIntentClassification (da)": 53.16,
+ "MassiveIntentClassification (nb)": 54.2,
+ "MassiveIntentClassification (sv)": 52.08,
+ "MassiveScenarioClassification (da)": 57.17,
+ "MassiveScenarioClassification (nb)": 60.69,
+ "MassiveScenarioClassification (sv)": 53.53,
"NoRecClassification": 53.4,
"NordicLangClassification": 82.67,
"NorwegianParliament": 59.33,
@@ -12420,8 +12691,12 @@
"DKHateClassification": 62.71,
"DanishPoliticalCommentsClassification": 33.53,
"LccSentimentClassification": 46.93,
- "MassiveIntentClassification": 48.47,
- "MassiveScenarioClassification": 50.6,
+ "MassiveIntentClassification (da)": 45.98,
+ "MassiveIntentClassification (nb)": 47.42,
+ "MassiveIntentClassification (sv)": 48.47,
+ "MassiveScenarioClassification (da)": 50.51,
+ "MassiveScenarioClassification (nb)": 54.25,
+ "MassiveScenarioClassification (sv)": 50.6,
"NoRecClassification": 50.46,
"NordicLangClassification": 84.25,
"NorwegianParliament": 58.85,
@@ -12502,12 +12777,12 @@
"accuracy": [
{
"Model": "mistral-embed",
- "AmazonReviewsClassification": 41.59,
- "MTOPDomainClassification": 90.05,
- "MTOPIntentClassification": 66.09,
- "MasakhaNEWSClassification": 81.4,
- "MassiveIntentClassification": 62.83,
- "MassiveScenarioClassification": 69.71
+ "AmazonReviewsClassification (fr)": 41.59,
+ "MTOPDomainClassification (fr)": 90.05,
+ "MTOPIntentClassification (fr)": 66.09,
+ "MasakhaNEWSClassification (fra)": 81.4,
+ "MassiveIntentClassification (fr)": 62.83,
+ "MassiveScenarioClassification (fr)": 69.71
}
]
},
@@ -12520,8 +12795,8 @@
"HALClusteringS2S": 26.17,
"MLSUMClusteringP2P": 45.28,
"MLSUMClusteringS2S": 42.74,
- "MasakhaNEWSClusteringP2P": 48.13,
- "MasakhaNEWSClusteringS2S": 39.62
+ "MasakhaNEWSClusteringP2P (fra)": 48.13,
+ "MasakhaNEWSClusteringS2S (fra)": 39.62
}
]
},
@@ -12529,13 +12804,13 @@
"max_ap": [
{
"Model": "mistral-embed",
- "OpusparcusPC": 92.61,
- "PawsXPairClassification": 62.02
+ "OpusparcusPC (fr)": 92.61,
+ "PawsXPairClassification (fr)": 62.02
},
{
"Model": "mistral-embed",
- "OpusparcusPC": 92.64,
- "PawsXPairClassification": 62.05
+ "OpusparcusPC (fr)": 92.64,
+ "PawsXPairClassification (fr)": 62.05
}
]
},
@@ -12562,9 +12837,9 @@
"LegalBenchCorporateLobbying": 94.11,
"LegalQuAD": 47.17,
"LegalSummarization": 67.39,
- "MintakaRetrieval": 21.73,
+ "MintakaRetrieval (fr)": 21.73,
"SyntecRetrieval": 78.77,
- "XPQARetrieval": 74.24
+ "XPQARetrieval (fr)": 74.24
}
]
},
@@ -12573,8 +12848,8 @@
{
"Model": "mistral-embed",
"SICKFr": 76.21,
- "STS22": 82.74,
- "STSBenchmarkMultilingualSTS": 79.72
+ "STS22 (fr)": 82.74,
+ "STSBenchmarkMultilingualSTS (fr)": 79.72
}
]
},
@@ -12640,11 +12915,11 @@
"accuracy": [
{
"Model": "m3e-base",
- "AmazonReviewsClassification": 43.02,
+ "AmazonReviewsClassification (zh)": 43.02,
"IFlyTek": 44.42,
"JDReview": 85.33,
- "MassiveIntentClassification": 68.4,
- "MassiveScenarioClassification": 74.6,
+ "MassiveIntentClassification (zh-CN)": 68.4,
+ "MassiveScenarioClassification (zh-CN)": 74.6,
"MultilingualSentiment": 71.9,
"OnlineShopping": 87.77,
"TNews": 48.28,
@@ -12713,7 +12988,7 @@
"LCQMC": 74.88,
"PAWSX": 12.19,
"QBQTC": 32.07,
- "STS22": 66.73,
+ "STS22 (zh)": 66.73,
"STSB": 76.97
}
]
@@ -12736,11 +13011,11 @@
"accuracy": [
{
"Model": "m3e-large",
- "AmazonReviewsClassification": 44.44,
+ "AmazonReviewsClassification (zh)": 44.44,
"IFlyTek": 43.96,
"JDReview": 86.92,
- "MassiveIntentClassification": 67.23,
- "MassiveScenarioClassification": 74.88,
+ "MassiveIntentClassification (zh-CN)": 67.23,
+ "MassiveScenarioClassification (zh-CN)": 74.88,
"MultilingualSentiment": 72.47,
"OnlineShopping": 89.59,
"TNews": 48.26,
@@ -12809,7 +13084,7 @@
"LCQMC": 74.2,
"PAWSX": 15.95,
"QBQTC": 32.65,
- "STS22": 62.91,
+ "STS22 (zh)": 62.91,
"STSB": 74.16
}
]
@@ -12872,16 +13147,16 @@
"accuracy": [
{
"Model": "nomic-embed-text-v1.5-128",
- "AmazonCounterfactualClassification": 69.78,
+ "AmazonCounterfactualClassification (en)": 69.78,
"AmazonPolarityClassification": 88.74,
- "AmazonReviewsClassification": 43.11,
+ "AmazonReviewsClassification (en)": 43.11,
"Banking77Classification": 82.78,
"EmotionClassification": 42.92,
"ImdbClassification": 80.87,
- "MTOPDomainClassification": 89.61,
- "MTOPIntentClassification": 68.9,
- "MassiveIntentClassification": 69.34,
- "MassiveScenarioClassification": 74.21,
+ "MTOPDomainClassification (en)": 89.61,
+ "MTOPIntentClassification (en)": 68.9,
+ "MassiveIntentClassification (en)": 69.34,
+ "MassiveScenarioClassification (en)": 74.21,
"ToxicConversationsClassification": 68.16,
"TweetSentimentExtractionClassification": 57.99
}
@@ -12965,8 +13240,8 @@
"STS14": 80.5,
"STS15": 85.84,
"STS16": 83.9,
- "STS17": 86.27,
- "STS22": 64.24,
+ "STS17 (en-en)": 86.27,
+ "STS22 (en)": 64.24,
"STSBenchmark": 84.28
}
]
@@ -12994,16 +13269,16 @@
"accuracy": [
{
"Model": "nomic-embed-text-v1.5-256",
- "AmazonCounterfactualClassification": 72.94,
+ "AmazonCounterfactualClassification (en)": 72.94,
"AmazonPolarityClassification": 91.35,
- "AmazonReviewsClassification": 45.73,
+ "AmazonReviewsClassification (en)": 45.73,
"Banking77Classification": 83.69,
"EmotionClassification": 45.88,
"ImdbClassification": 83.99,
- "MTOPDomainClassification": 91.68,
- "MTOPIntentClassification": 72.47,
- "MassiveIntentClassification": 71.76,
- "MassiveScenarioClassification": 75.67,
+ "MTOPDomainClassification (en)": 91.68,
+ "MTOPIntentClassification (en)": 72.47,
+ "MassiveIntentClassification (en)": 71.76,
+ "MassiveScenarioClassification (en)": 75.67,
"ToxicConversationsClassification": 70.87,
"TweetSentimentExtractionClassification": 59.2
}
@@ -13087,8 +13362,8 @@
"STS14": 81.25,
"STS15": 86.51,
"STS16": 84.24,
- "STS17": 86.44,
- "STS22": 65.14,
+ "STS17 (en-en)": 86.44,
+ "STS22 (en)": 65.14,
"STSBenchmark": 84.8
}
]
@@ -13116,16 +13391,16 @@
"accuracy": [
{
"Model": "nomic-embed-text-v1.5-512",
- "AmazonCounterfactualClassification": 74.27,
+ "AmazonCounterfactualClassification (en)": 74.27,
"AmazonPolarityClassification": 91.89,
- "AmazonReviewsClassification": 46.97,
+ "AmazonReviewsClassification (en)": 46.97,
"Banking77Classification": 84.15,
"EmotionClassification": 47.73,
"ImdbClassification": 85.47,
- "MTOPDomainClassification": 92.62,
- "MTOPIntentClassification": 74.27,
- "MassiveIntentClassification": 73.07,
- "MassiveScenarioClassification": 76.82,
+ "MTOPDomainClassification (en)": 92.62,
+ "MTOPIntentClassification (en)": 74.27,
+ "MassiveIntentClassification (en)": 73.07,
+ "MassiveScenarioClassification (en)": 76.82,
"ToxicConversationsClassification": 71.25,
"TweetSentimentExtractionClassification": 60.4
}
@@ -13209,8 +13484,8 @@
"STS14": 81.38,
"STS15": 86.79,
"STS16": 84.56,
- "STS17": 87.25,
- "STS22": 65.24,
+ "STS17 (en-en)": 87.25,
+ "STS22 (en)": 65.24,
"STSBenchmark": 85.14
}
]
@@ -13238,16 +13513,16 @@
"accuracy": [
{
"Model": "nomic-embed-text-v1.5-64",
- "AmazonCounterfactualClassification": 66.85,
+ "AmazonCounterfactualClassification (en)": 66.85,
"AmazonPolarityClassification": 85.92,
- "AmazonReviewsClassification": 41.02,
+ "AmazonReviewsClassification (en)": 41.02,
"Banking77Classification": 80.63,
"EmotionClassification": 40.55,
"ImdbClassification": 76.6,
- "MTOPDomainClassification": 86.31,
- "MTOPIntentClassification": 62.77,
- "MassiveIntentClassification": 64.95,
- "MassiveScenarioClassification": 70.38,
+ "MTOPDomainClassification (en)": 86.31,
+ "MTOPIntentClassification (en)": 62.77,
+ "MassiveIntentClassification (en)": 64.95,
+ "MassiveScenarioClassification (en)": 70.38,
"ToxicConversationsClassification": 66.53,
"TweetSentimentExtractionClassification": 55.23
}
@@ -13331,8 +13606,8 @@
"STS14": 79.37,
"STS15": 84.69,
"STS16": 83.36,
- "STS17": 85.73,
- "STS22": 63.83,
+ "STS17 (en-en)": 85.73,
+ "STS22 (en)": 63.83,
"STSBenchmark": 83.46
}
]
@@ -13360,16 +13635,16 @@
"accuracy": [
{
"Model": "contriever-base-msmarco",
- "AmazonCounterfactualClassification": 72.19,
+ "AmazonCounterfactualClassification (en)": 72.19,
"AmazonPolarityClassification": 68.63,
- "AmazonReviewsClassification": 37.42,
+ "AmazonReviewsClassification (en)": 37.42,
"Banking77Classification": 80.02,
"EmotionClassification": 44.77,
"ImdbClassification": 67.04,
- "MTOPDomainClassification": 93.18,
- "MTOPIntentClassification": 69.31,
- "MassiveIntentClassification": 67.78,
- "MassiveScenarioClassification": 76.0,
+ "MTOPDomainClassification (en)": 93.18,
+ "MTOPIntentClassification (en)": 69.31,
+ "MassiveIntentClassification (en)": 67.78,
+ "MassiveScenarioClassification (en)": 76.0,
"ToxicConversationsClassification": 67.77,
"TweetSentimentExtractionClassification": 56.1
}
@@ -13453,8 +13728,8 @@
"STS14": 74.51,
"STS15": 83.3,
"STS16": 79.67,
- "STS17": 86.32,
- "STS22": 64.64,
+ "STS17 (en-en)": 86.32,
+ "STS22 (en)": 64.64,
"STSBenchmark": 78.81
}
]
@@ -13489,16 +13764,16 @@
"accuracy": [
{
"Model": "text-embedding-3-large",
- "AmazonCounterfactualClassification": 78.93,
+ "AmazonCounterfactualClassification (en)": 78.93,
"AmazonPolarityClassification": 92.85,
- "AmazonReviewsClassification": 48.7,
+ "AmazonReviewsClassification (en)": 48.7,
"Banking77Classification": 85.69,
"EmotionClassification": 51.58,
"ImdbClassification": 87.67,
- "MTOPDomainClassification": 95.36,
- "MTOPIntentClassification": 75.07,
- "MassiveIntentClassification": 74.64,
- "MassiveScenarioClassification": 79.79,
+ "MTOPDomainClassification (en)": 95.36,
+ "MTOPIntentClassification (en)": 75.07,
+ "MassiveIntentClassification (en)": 74.64,
+ "MassiveScenarioClassification (en)": 79.79,
"ToxicConversationsClassification": 72.92,
"TweetSentimentExtractionClassification": 62.22
}
@@ -13628,8 +13903,8 @@
"STS14": 81.15,
"STS15": 88.49,
"STS16": 85.08,
- "STS17": 90.22,
- "STS22": 66.14,
+ "STS17 (en-en)": 90.22,
+ "STS22 (en)": 66.14,
"STSBenchmark": 83.56
}
]
@@ -13664,16 +13939,16 @@
"accuracy": [
{
"Model": "text-embedding-3-large-256",
- "AmazonCounterfactualClassification": 73.96,
+ "AmazonCounterfactualClassification (en)": 73.96,
"AmazonPolarityClassification": 91.32,
- "AmazonReviewsClassification": 46.03,
+ "AmazonReviewsClassification (en)": 46.03,
"Banking77Classification": 83.19,
"EmotionClassification": 45.8,
"ImdbClassification": 85.93,
- "MTOPDomainClassification": 92.76,
- "MTOPIntentClassification": 70.45,
- "MassiveIntentClassification": 71.12,
- "MassiveScenarioClassification": 75.56,
+ "MTOPDomainClassification (en)": 92.76,
+ "MTOPIntentClassification (en)": 70.45,
+ "MassiveIntentClassification (en)": 71.12,
+ "MassiveScenarioClassification (en)": 75.56,
"ToxicConversationsClassification": 68.52,
"TweetSentimentExtractionClassification": 58.98
}
@@ -13751,8 +14026,8 @@
"STS14": 80.5,
"STS15": 87.51,
"STS16": 84.48,
- "STS17": 88.11,
- "STS22": 65.92,
+ "STS17 (en-en)": 88.11,
+ "STS22 (en)": 65.92,
"STSBenchmark": 82.34
}
]
@@ -13831,16 +14106,16 @@
"accuracy": [
{
"Model": "text-embedding-3-small",
- "AmazonCounterfactualClassification": 76.42,
+ "AmazonCounterfactualClassification (en)": 76.42,
"AmazonPolarityClassification": 90.84,
- "AmazonReviewsClassification": 45.73,
+ "AmazonReviewsClassification (en)": 45.73,
"Banking77Classification": 83.01,
"EmotionClassification": 50.63,
"ImdbClassification": 83.66,
- "MTOPDomainClassification": 93.91,
- "MTOPIntentClassification": 70.98,
- "MassiveIntentClassification": 72.86,
- "MassiveScenarioClassification": 76.84,
+ "MTOPDomainClassification (en)": 93.91,
+ "MTOPIntentClassification (en)": 70.98,
+ "MassiveIntentClassification (en)": 72.86,
+ "MassiveScenarioClassification (en)": 76.84,
"ToxicConversationsClassification": 71.91,
"TweetSentimentExtractionClassification": 61.72
}
@@ -13868,14 +14143,14 @@
"max_ap": [
{
"Model": "text-embedding-3-small",
- "OpusparcusPC": 94.45,
+ "OpusparcusPC (fr)": 94.45,
"SprintDuplicateQuestions": 94.58,
"TwitterSemEval2015": 73.33,
"TwitterURLCorpus": 87.21
},
{
"Model": "text-embedding-3-small",
- "OpusparcusPC": 94.45
+ "OpusparcusPC (fr)": 94.45
}
]
},
@@ -13938,8 +14213,8 @@
"STS14": 79.81,
"STS15": 88.01,
"STS16": 84.41,
- "STS17": 90.94,
- "STS22": 64.96,
+ "STS17 (en-en)": 90.94,
+ "STS22 (en)": 64.96,
"STSBenchmark": 84.24
}
]
@@ -14018,19 +14293,27 @@
"accuracy": [
{
"Model": "text-embedding-ada-002",
- "AmazonCounterfactualClassification": 75.94,
+ "AmazonCounterfactualClassification (en)": 75.94,
"AmazonPolarityClassification": 86.72,
- "AmazonReviewsClassification": 43.76,
+ "AmazonReviewsClassification (zh)": 38.3,
+ "AmazonReviewsClassification (en)": 44.78,
+ "AmazonReviewsClassification (fr)": 43.76,
"Banking77Classification": 80.66,
"EmotionClassification": 48.74,
"IFlyTek": 44.62,
"ImdbClassification": 77.98,
"JDReview": 74.6,
- "MTOPDomainClassification": 89.38,
- "MTOPIntentClassification": 64.45,
- "MasakhaNEWSClassification": 81.52,
- "MassiveIntentClassification": 65.42,
- "MassiveScenarioClassification": 71.11,
+ "MTOPDomainClassification (en)": 92.13,
+ "MTOPDomainClassification (fr)": 89.38,
+ "MTOPIntentClassification (en)": 64.68,
+ "MTOPIntentClassification (fr)": 64.45,
+ "MasakhaNEWSClassification (fra)": 81.52,
+ "MassiveIntentClassification (zh-CN)": 64.81,
+ "MassiveIntentClassification (en)": 70.15,
+ "MassiveIntentClassification (fr)": 65.42,
+ "MassiveScenarioClassification (zh-CN)": 71.4,
+ "MassiveScenarioClassification (en)": 75.33,
+ "MassiveScenarioClassification (fr)": 71.11,
"MultilingualSentiment": 67.99,
"OnlineShopping": 88.94,
"TNews": 45.77,
@@ -14055,8 +14338,8 @@
"HALClusteringS2S": 26.18,
"MLSUMClusteringP2P": 44.59,
"MLSUMClusteringS2S": 41.67,
- "MasakhaNEWSClusteringP2P": 68.35,
- "MasakhaNEWSClusteringS2S": 48.58,
+ "MasakhaNEWSClusteringP2P (fra)": 68.35,
+ "MasakhaNEWSClusteringS2S (fra)": 48.58,
"MedrxivClusteringP2P": 32.6,
"MedrxivClusteringS2S": 30.8,
"RedditClustering": 61.42,
@@ -14075,8 +14358,8 @@
"Model": "text-embedding-ada-002",
"Cmnli": 76.03,
"Ocnli": 63.08,
- "OpusparcusPC": 94.12,
- "PawsXPairClassification": 60.16,
+ "OpusparcusPC (fr)": 94.12,
+ "PawsXPairClassification (fr)": 60.16,
"SprintDuplicateQuestions": 92.17,
"TwitterSemEval2015": 75.28,
"TwitterURLCorpus": 87.22
@@ -14085,8 +14368,8 @@
"Model": "text-embedding-ada-002",
"Cmnli": 76.04,
"Ocnli": 63.08,
- "OpusparcusPC": 94.16,
- "PawsXPairClassification": 60.19,
+ "OpusparcusPC (fr)": 94.16,
+ "PawsXPairClassification (fr)": 60.19,
"SprintDuplicateQuestions": 92.17,
"TwitterSemEval2015": 75.28,
"TwitterURLCorpus": 87.22
@@ -14132,7 +14415,7 @@
"MMarcoRetrieval": 69.86,
"MSMARCO": 40.91,
"MedicalRetrieval": 37.92,
- "MintakaRetrieval": 29.94,
+ "MintakaRetrieval (fr)": 29.94,
"NFCorpus": 36.97,
"NQ": 51.58,
"PIQA": 31.02,
@@ -14155,7 +14438,7 @@
"Touche2020": 21.61,
"VideoRetrieval": 43.85,
"WinoGrande": 19.65,
- "XPQARetrieval": 73.0
+ "XPQARetrieval (fr)": 73.0
}
]
},
@@ -14177,11 +14460,14 @@
"STS14": 76.09,
"STS15": 86.12,
"STS16": 85.96,
- "STS17": 90.25,
- "STS22": 81.09,
+ "STS17 (en-en)": 90.25,
+ "STS22 (zh)": 62.53,
+ "STS22 (en)": 68.12,
+ "STS22 (tr)": 64.5,
+ "STS22 (fr)": 81.09,
"STSB": 70.61,
"STSBenchmark": 83.17,
- "STSBenchmarkMultilingualSTS": 77.55
+ "STSBenchmarkMultilingualSTS (fr)": 77.55
}
]
},
@@ -14493,16 +14779,16 @@
"accuracy": [
{
"Model": "text-similarity-ada-001",
- "AmazonCounterfactualClassification": 76.4,
+ "AmazonCounterfactualClassification (en)": 76.4,
"AmazonPolarityClassification": 92.83,
- "AmazonReviewsClassification": 47.45,
+ "AmazonReviewsClassification (en)": 47.45,
"Banking77Classification": 68.04,
"EmotionClassification": 50.33,
"ImdbClassification": 89.38,
- "MTOPDomainClassification": 89.89,
- "MTOPIntentClassification": 64.8,
- "MassiveIntentClassification": 65.17,
- "MassiveScenarioClassification": 67.67,
+ "MTOPDomainClassification (en)": 89.89,
+ "MTOPIntentClassification (en)": 64.8,
+ "MassiveIntentClassification (en)": 65.17,
+ "MassiveScenarioClassification (en)": 67.67,
"ToxicConversationsClassification": 70.0,
"TweetSentimentExtractionClassification": 63.35
}
@@ -14586,8 +14872,8 @@
"STS14": 74.74,
"STS15": 84.28,
"STS16": 82.06,
- "STS17": 87.08,
- "STS22": 64.71,
+ "STS17 (en-en)": 87.08,
+ "STS22 (en)": 64.71,
"STSBenchmark": 83.78
}
]
@@ -14843,16 +15129,16 @@
"accuracy": [
{
"Model": "sup-simcse-bert-base-uncased",
- "AmazonCounterfactualClassification": 75.75,
+ "AmazonCounterfactualClassification (en)": 75.75,
"AmazonPolarityClassification": 82.47,
- "AmazonReviewsClassification": 39.6,
+ "AmazonReviewsClassification (en)": 39.6,
"Banking77Classification": 75.76,
"EmotionClassification": 44.81,
"ImdbClassification": 73.53,
- "MTOPDomainClassification": 84.29,
- "MTOPIntentClassification": 63.14,
- "MassiveIntentClassification": 65.95,
- "MassiveScenarioClassification": 70.78,
+ "MTOPDomainClassification (en)": 84.29,
+ "MTOPIntentClassification (en)": 63.14,
+ "MassiveIntentClassification (en)": 65.95,
+ "MassiveScenarioClassification (en)": 70.78,
"ToxicConversationsClassification": 72.04,
"TweetSentimentExtractionClassification": 59.73
}
@@ -14936,8 +15222,8 @@
"STS14": 80.19,
"STS15": 85.4,
"STS16": 80.82,
- "STS17": 89.44,
- "STS22": 61.96,
+ "STS17 (en-en)": 89.44,
+ "STS22 (en)": 61.96,
"STSBenchmark": 84.25
}
]
@@ -14965,16 +15251,16 @@
"accuracy": [
{
"Model": "unsup-simcse-bert-base-uncased",
- "AmazonCounterfactualClassification": 67.09,
+ "AmazonCounterfactualClassification (en)": 67.09,
"AmazonPolarityClassification": 74.48,
- "AmazonReviewsClassification": 33.85,
+ "AmazonReviewsClassification (en)": 33.85,
"Banking77Classification": 73.55,
"EmotionClassification": 42.22,
"ImdbClassification": 69.63,
- "MTOPDomainClassification": 81.71,
- "MTOPIntentClassification": 59.23,
- "MassiveIntentClassification": 59.84,
- "MassiveScenarioClassification": 66.25,
+ "MTOPDomainClassification (en)": 81.71,
+ "MTOPIntentClassification (en)": 59.23,
+ "MassiveIntentClassification (en)": 59.84,
+ "MassiveScenarioClassification (en)": 66.25,
"ToxicConversationsClassification": 68.82,
"TweetSentimentExtractionClassification": 53.36
}
@@ -15058,8 +15344,8 @@
"STS14": 73.61,
"STS15": 79.72,
"STS16": 78.12,
- "STS17": 83.58,
- "STS22": 59.65,
+ "STS17 (en-en)": 83.58,
+ "STS22 (en)": 59.65,
"STSBenchmark": 76.52
}
]
@@ -15089,8 +15375,8 @@
"Model": "st-polish-paraphrase-from-distilroberta",
"AllegroReviews": 34.5,
"CBD": 70.27,
- "MassiveIntentClassification": 64.81,
- "MassiveScenarioClassification": 70.01,
+ "MassiveIntentClassification (pl)": 64.81,
+ "MassiveScenarioClassification (pl)": 70.01,
"PAC": 64.6,
"PolEmo2.0-IN": 67.06,
"PolEmo2.0-OUT": 38.58
@@ -15150,7 +15436,7 @@
"Model": "st-polish-paraphrase-from-distilroberta",
"CDSC-R": 89.62,
"SICK-R-PL": 76.37,
- "STS22": 40.36
+ "STS22 (pl)": 40.36
}
]
},
@@ -15174,8 +15460,8 @@
"Model": "st-polish-paraphrase-from-mpnet",
"AllegroReviews": 34.55,
"CBD": 67.48,
- "MassiveIntentClassification": 65.93,
- "MassiveScenarioClassification": 71.85,
+ "MassiveIntentClassification (pl)": 65.93,
+ "MassiveScenarioClassification (pl)": 71.85,
"PAC": 63.25,
"PolEmo2.0-IN": 68.37,
"PolEmo2.0-OUT": 30.99
@@ -15235,7 +15521,7 @@
"Model": "st-polish-paraphrase-from-mpnet",
"CDSC-R": 88.55,
"SICK-R-PL": 76.18,
- "STS22": 37.34
+ "STS22 (pl)": 37.34
}
]
},
@@ -15254,7 +15540,10 @@
"f1": [
{
"Model": "LaBSE",
- "BUCC": 99.16,
+ "BUCC (de-en)": 99.35,
+ "BUCC (fr-en)": 98.72,
+ "BUCC (ru-en)": 97.78,
+ "BUCC (zh-en)": 99.16,
"BornholmBitextMining": 45.63,
"Tatoeba (ber-eng)": 8.4,
"Tatoeba (hye-eng)": 94.09,
@@ -15367,8 +15656,7 @@
"Tatoeba (lvs-eng)": 95.88,
"Tatoeba (max-eng)": 63.26,
"Tatoeba (lit-eng)": 96.47,
- "Tatoeba (glg-eng)": 96.82,
- "Tatoeba": 95.62
+ "Tatoeba (glg-eng)": 96.82
}
]
},
@@ -15377,19 +15665,17 @@
{
"Model": "LaBSE",
"AllegroReviews": 34.89,
- "AmazonCounterfactualClassification (en-ext)": 76.12,
- "AmazonCounterfactualClassification (en)": 75.9,
+ "AmazonCounterfactualClassification (en-ext)": 76.09,
+ "AmazonCounterfactualClassification (en)": 75.93,
"AmazonCounterfactualClassification (de)": 73.17,
- "AmazonCounterfactualClassification (ja)": 76.4,
- "AmazonCounterfactualClassification": 76.42,
+ "AmazonCounterfactualClassification (ja)": 76.42,
"AmazonPolarityClassification": 68.95,
- "AmazonReviewsClassification (en)": 35.81,
- "AmazonReviewsClassification (de)": 39.93,
+ "AmazonReviewsClassification (en)": 35.8,
+ "AmazonReviewsClassification (de)": 39.92,
"AmazonReviewsClassification (es)": 39.39,
- "AmazonReviewsClassification (fr)": 38.53,
- "AmazonReviewsClassification (ja)": 36.45,
+ "AmazonReviewsClassification (fr)": 38.52,
+ "AmazonReviewsClassification (ja)": 36.44,
"AmazonReviewsClassification (zh)": 36.45,
- "AmazonReviewsClassification": 36.45,
"AngryTweetsClassification": 51.11,
"Banking77Classification": 69.85,
"CBD": 65.71,
@@ -15403,23 +15689,21 @@
"JDReview": 79.14,
"KinopoiskClassification": 46.77,
"LccSentimentClassification": 50.07,
- "MTOPDomainClassification (en)": 86.08,
- "MTOPDomainClassification (de)": 86.93,
- "MTOPDomainClassification (es)": 84.06,
+ "MTOPDomainClassification (en)": 86.06,
+ "MTOPDomainClassification (de)": 86.95,
+ "MTOPDomainClassification (es)": 84.07,
"MTOPDomainClassification (fr)": 84.14,
"MTOPDomainClassification (hi)": 85.11,
"MTOPDomainClassification (th)": 81.24,
- "MTOPDomainClassification": 81.24,
- "MTOPIntentClassification (en)": 63.07,
- "MTOPIntentClassification (de)": 63.46,
- "MTOPIntentClassification (es)": 64.46,
- "MTOPIntentClassification (fr)": 62.05,
- "MTOPIntentClassification (hi)": 62.61,
- "MTOPIntentClassification (th)": 64.7,
- "MTOPIntentClassification": 64.61,
+ "MTOPIntentClassification (en)": 63.03,
+ "MTOPIntentClassification (de)": 63.42,
+ "MTOPIntentClassification (es)": 64.44,
+ "MTOPIntentClassification (fr)": 62.01,
+ "MTOPIntentClassification (hi)": 62.58,
+ "MTOPIntentClassification (th)": 64.61,
"MasakhaNEWSClassification (amh)": 81.78,
"MasakhaNEWSClassification (eng)": 77.77,
- "MasakhaNEWSClassification (fra)": 72.09,
+ "MasakhaNEWSClassification (fra)": 77.39,
"MasakhaNEWSClassification (hau)": 73.12,
"MasakhaNEWSClassification (ibo)": 69.1,
"MasakhaNEWSClassification (lin)": 74.63,
@@ -15433,111 +15717,108 @@
"MasakhaNEWSClassification (tir)": 61.73,
"MasakhaNEWSClassification (xho)": 77.34,
"MasakhaNEWSClassification (yor)": 77.13,
- "MasakhaNEWSClassification": 77.39,
- "MassiveIntentClassification (ms)": 58.59,
- "MassiveIntentClassification (sl)": 59.39,
+ "MassiveIntentClassification (ms)": 58.6,
+ "MassiveIntentClassification (sl)": 59.37,
"MassiveIntentClassification (hu)": 59.52,
- "MassiveIntentClassification (sv)": 59.64,
- "MassiveIntentClassification (nl)": 59.31,
- "MassiveIntentClassification (id)": 61.14,
- "MassiveIntentClassification (vi)": 56.68,
- "MassiveIntentClassification (zh-CN)": 63.85,
- "MassiveIntentClassification (am)": 55.67,
- "MassiveIntentClassification (ko)": 60.93,
- "MassiveIntentClassification (el)": 56.96,
- "MassiveIntentClassification (nb)": 57.81,
- "MassiveIntentClassification (jv)": 50.94,
+ "MassiveIntentClassification (sv)": 59.66,
+ "MassiveIntentClassification (nl)": 59.37,
+ "MassiveIntentClassification (id)": 61.12,
+ "MassiveIntentClassification (vi)": 56.67,
+ "MassiveIntentClassification (zh-CN)": 63.86,
+ "MassiveIntentClassification (am)": 55.71,
+ "MassiveIntentClassification (ko)": 60.99,
+ "MassiveIntentClassification (el)": 57.03,
+ "MassiveIntentClassification (nb)": 57.91,
+ "MassiveIntentClassification (jv)": 50.98,
"MassiveIntentClassification (fa)": 62.33,
- "MassiveIntentClassification (ja)": 63.13,
- "MassiveIntentClassification (it)": 59.75,
- "MassiveIntentClassification (es)": 58.26,
- "MassiveIntentClassification (my)": 57.23,
- "MassiveIntentClassification (fi)": 60.09,
- "MassiveIntentClassification (he)": 56.42,
- "MassiveIntentClassification (is)": 54.83,
- "MassiveIntentClassification (tl)": 55.1,
- "MassiveIntentClassification (kn)": 56.2,
- "MassiveIntentClassification (ur)": 56.68,
- "MassiveIntentClassification (ml)": 57.75,
+ "MassiveIntentClassification (ja)": 63.11,
+ "MassiveIntentClassification (it)": 59.83,
+ "MassiveIntentClassification (es)": 58.32,
+ "MassiveIntentClassification (my)": 57.35,
+ "MassiveIntentClassification (fi)": 60.12,
+ "MassiveIntentClassification (he)": 56.55,
+ "MassiveIntentClassification (is)": 54.9,
+ "MassiveIntentClassification (tl)": 55.28,
+ "MassiveIntentClassification (kn)": 56.24,
+ "MassiveIntentClassification (ur)": 56.7,
+ "MassiveIntentClassification (ml)": 57.91,
"MassiveIntentClassification (tr)": 60.91,
- "MassiveIntentClassification (en)": 61.44,
- "MassiveIntentClassification (sw)": 51.5,
- "MassiveIntentClassification (km)": 48.46,
- "MassiveIntentClassification (ar)": 50.78,
- "MassiveIntentClassification (ru)": 60.64,
- "MassiveIntentClassification (te)": 58.33,
- "MassiveIntentClassification (ta)": 54.95,
- "MassiveIntentClassification (pt)": 60.15,
- "MassiveIntentClassification (zh-TW)": 59.47,
- "MassiveIntentClassification (pl)": 59.75,
- "MassiveIntentClassification (az)": 58.91,
- "MassiveIntentClassification (ro)": 57.84,
- "MassiveIntentClassification (ka)": 48.26,
- "MassiveIntentClassification (sq)": 58.08,
- "MassiveIntentClassification (bn)": 58.14,
- "MassiveIntentClassification (th)": 56.45,
- "MassiveIntentClassification (da)": 58.23,
- "MassiveIntentClassification (de)": 56.16,
- "MassiveIntentClassification (hy)": 56.22,
- "MassiveIntentClassification (mn)": 58.46,
- "MassiveIntentClassification (cy)": 50.17,
- "MassiveIntentClassification (af)": 56.07,
- "MassiveIntentClassification (fr)": 60.42,
- "MassiveIntentClassification (hi)": 59.37,
- "MassiveIntentClassification (lv)": 57.06,
- "MassiveIntentClassification": 59.51,
- "MassiveScenarioClassification (te)": 64.12,
- "MassiveScenarioClassification (de)": 62.4,
- "MassiveScenarioClassification (el)": 64.57,
- "MassiveScenarioClassification (ml)": 62.24,
- "MassiveScenarioClassification (nl)": 65.17,
+ "MassiveIntentClassification (en)": 61.46,
+ "MassiveIntentClassification (sw)": 51.62,
+ "MassiveIntentClassification (km)": 48.55,
+ "MassiveIntentClassification (ar)": 50.86,
+ "MassiveIntentClassification (ru)": 60.67,
+ "MassiveIntentClassification (te)": 58.32,
+ "MassiveIntentClassification (ta)": 55.04,
+ "MassiveIntentClassification (pt)": 60.16,
+ "MassiveIntentClassification (zh-TW)": 59.51,
+ "MassiveIntentClassification (pl)": 59.71,
+ "MassiveIntentClassification (az)": 58.97,
+ "MassiveIntentClassification (ro)": 57.92,
+ "MassiveIntentClassification (ka)": 48.35,
+ "MassiveIntentClassification (sq)": 58.03,
+ "MassiveIntentClassification (bn)": 58.22,
+ "MassiveIntentClassification (th)": 56.58,
+ "MassiveIntentClassification (da)": 58.25,
+ "MassiveIntentClassification (de)": 56.21,
+ "MassiveIntentClassification (hy)": 56.2,
+ "MassiveIntentClassification (mn)": 58.5,
+ "MassiveIntentClassification (cy)": 50.16,
+ "MassiveIntentClassification (af)": 56.12,
+ "MassiveIntentClassification (fr)": 60.47,
+ "MassiveIntentClassification (hi)": 59.4,
+ "MassiveIntentClassification (lv)": 57.1,
+ "MassiveScenarioClassification (te)": 64.13,
+ "MassiveScenarioClassification (de)": 62.39,
+ "MassiveScenarioClassification (el)": 64.58,
+ "MassiveScenarioClassification (ml)": 62.26,
+ "MassiveScenarioClassification (nl)": 65.16,
"MassiveScenarioClassification (jv)": 58.29,
- "MassiveScenarioClassification (ro)": 62.39,
+ "MassiveScenarioClassification (ro)": 62.41,
"MassiveScenarioClassification (pt)": 63.28,
- "MassiveScenarioClassification (pl)": 64.55,
- "MassiveScenarioClassification (sl)": 64.26,
- "MassiveScenarioClassification (ta)": 59.07,
- "MassiveScenarioClassification (sw)": 58.37,
+ "MassiveScenarioClassification (pl)": 64.58,
+ "MassiveScenarioClassification (sl)": 64.25,
+ "MassiveScenarioClassification (ta)": 59.08,
+ "MassiveScenarioClassification (sw)": 58.36,
"MassiveScenarioClassification (tl)": 60.23,
- "MassiveScenarioClassification (id)": 65.86,
- "MassiveScenarioClassification (ru)": 65.23,
- "MassiveScenarioClassification (sv)": 65.99,
- "MassiveScenarioClassification (ar)": 57.74,
+ "MassiveScenarioClassification (id)": 65.84,
+ "MassiveScenarioClassification (ru)": 65.25,
+ "MassiveScenarioClassification (sv)": 66.01,
+ "MassiveScenarioClassification (ar)": 57.72,
"MassiveScenarioClassification (fr)": 65.1,
- "MassiveScenarioClassification (th)": 64.32,
- "MassiveScenarioClassification (hy)": 61.29,
- "MassiveScenarioClassification (nb)": 64.3,
- "MassiveScenarioClassification (cy)": 56.12,
+ "MassiveScenarioClassification (th)": 64.34,
+ "MassiveScenarioClassification (hy)": 61.25,
+ "MassiveScenarioClassification (nb)": 64.29,
+ "MassiveScenarioClassification (cy)": 56.13,
"MassiveScenarioClassification (my)": 62.94,
- "MassiveScenarioClassification (bn)": 61.86,
+ "MassiveScenarioClassification (bn)": 61.84,
"MassiveScenarioClassification (it)": 64.09,
- "MassiveScenarioClassification (ko)": 67.3,
+ "MassiveScenarioClassification (ko)": 67.26,
"MassiveScenarioClassification (kn)": 61.74,
- "MassiveScenarioClassification (he)": 63.52,
+ "MassiveScenarioClassification (he)": 63.53,
"MassiveScenarioClassification (am)": 62.02,
- "MassiveScenarioClassification (ka)": 53.37,
- "MassiveScenarioClassification (vi)": 61.06,
- "MassiveScenarioClassification (ur)": 61.47,
- "MassiveScenarioClassification (zh-TW)": 67.05,
- "MassiveScenarioClassification (en)": 66.44,
- "MassiveScenarioClassification (ms)": 65.62,
- "MassiveScenarioClassification (is)": 61.93,
- "MassiveScenarioClassification (km)": 56.2,
+ "MassiveScenarioClassification (ka)": 53.38,
+ "MassiveScenarioClassification (vi)": 61.05,
+ "MassiveScenarioClassification (ur)": 61.52,
+ "MassiveScenarioClassification (zh-TW)": 67.08,
+ "MassiveScenarioClassification (en)": 66.41,
+ "MassiveScenarioClassification (ms)": 65.63,
+ "MassiveScenarioClassification (is)": 61.94,
+ "MassiveScenarioClassification (km)": 56.18,
"MassiveScenarioClassification (hu)": 65.82,
- "MassiveScenarioClassification (fi)": 64.56,
- "MassiveScenarioClassification (sq)": 64.56,
- "MassiveScenarioClassification (fa)": 67.43,
- "MassiveScenarioClassification (af)": 63.38,
- "MassiveScenarioClassification (mn)": 62.62,
- "MassiveScenarioClassification (da)": 65.26,
- "MassiveScenarioClassification (az)": 63.47,
+ "MassiveScenarioClassification (fi)": 64.58,
+ "MassiveScenarioClassification (sq)": 64.54,
+ "MassiveScenarioClassification (fa)": 67.46,
+ "MassiveScenarioClassification (af)": 63.39,
+ "MassiveScenarioClassification (mn)": 62.6,
+ "MassiveScenarioClassification (da)": 65.24,
+ "MassiveScenarioClassification (az)": 63.48,
"MassiveScenarioClassification (es)": 63.61,
- "MassiveScenarioClassification (ja)": 67.7,
+ "MassiveScenarioClassification (ja)": 67.72,
"MassiveScenarioClassification (tr)": 65.43,
- "MassiveScenarioClassification (lv)": 61.86,
- "MassiveScenarioClassification (zh-CN)": 70.84,
- "MassiveScenarioClassification (hi)": 64.41,
- "MassiveScenarioClassification": 67.08,
+ "MassiveScenarioClassification (lv)": 61.87,
+ "MassiveScenarioClassification (zh-CN)": 70.85,
+ "MassiveScenarioClassification (hi)": 64.4,
"MultilingualSentiment": 64.6,
"NoRecClassification": 45.45,
"NordicLangClassification": 35.39,
@@ -15588,7 +15869,6 @@
"MasakhaNEWSClusteringP2P (tir)": 51.59,
"MasakhaNEWSClusteringP2P (xho)": 45.32,
"MasakhaNEWSClusteringP2P (yor)": 48.73,
- "MasakhaNEWSClusteringP2P": 46.16,
"MasakhaNEWSClusteringS2S (amh)": 52.73,
"MasakhaNEWSClusteringS2S (eng)": 32.6,
"MasakhaNEWSClusteringS2S (fra)": 38.13,
@@ -15605,7 +15885,6 @@
"MasakhaNEWSClusteringS2S (tir)": 49.07,
"MasakhaNEWSClusteringS2S (xho)": 28.52,
"MasakhaNEWSClusteringS2S (yor)": 32.26,
- "MasakhaNEWSClusteringS2S": 38.13,
"MedrxivClusteringP2P": 30.13,
"MedrxivClusteringS2S": 24.82,
"RedditClustering": 28.79,
@@ -15652,17 +15931,15 @@
"OpusparcusPC (fr)": 93.96,
"OpusparcusPC (ru)": 87.3,
"OpusparcusPC (sv)": 93.69,
- "OpusparcusPC": 93.96,
"PPC": 86.97,
"PSC": 97.42,
"PawsXPairClassification (de)": 51.45,
"PawsXPairClassification (en)": 54.07,
"PawsXPairClassification (es)": 52.19,
- "PawsXPairClassification (fr)": 54.7,
+ "PawsXPairClassification (fr)": 54.69,
"PawsXPairClassification (ja)": 47.74,
"PawsXPairClassification (ko)": 49.42,
"PawsXPairClassification (zh)": 54.55,
- "PawsXPairClassification": 54.69,
"SICK-E-PL": 63.77,
"SprintDuplicateQuestions": 89.26,
"TERRa": 55.71,
@@ -15672,10 +15949,10 @@
{
"Model": "LaBSE",
"CDSC-E": 68.91,
- "OpusparcusPC": 93.96,
+ "OpusparcusPC (fr)": 93.96,
"PPC": 86.97,
"PSC": 97.42,
- "PawsXPairClassification": 54.63,
+ "PawsXPairClassification (fr)": 54.63,
"SICK-E-PL": 63.77,
"SprintDuplicateQuestions": 89.26,
"TwitterSemEval2015": 62.78,
@@ -15765,7 +16042,6 @@
"MintakaRetrieval (it)": 15.94,
"MintakaRetrieval (ja)": 12.8,
"MintakaRetrieval (pt)": 15.03,
- "MintakaRetrieval": 15.53,
"NFCorpus": 16.54,
"NFCorpus-PL": 17.45,
"NQ": 8.42,
@@ -15834,7 +16110,7 @@
"XPQARetrieval (cmn-cmn)": 50.7,
"XPQARetrieval (eng-cmn)": 20.59,
"XPQARetrieval (cmn-eng)": 48.23,
- "XPQARetrieval": 51.74
+ "XPQARetrieval (fr)": 51.74
}
]
},
@@ -15913,10 +16189,37 @@
"STS14": 64.03,
"STS15": 76.59,
"STS16": 72.98,
- "STS17": 75.22,
- "STS22": 64.02,
+ "STS17 (ar-ar)": 69.07,
+ "STS17 (en-ar)": 74.51,
+ "STS17 (en-de)": 73.85,
+ "STS17 (en-en)": 79.45,
+ "STS17 (en-tr)": 72.07,
+ "STS17 (es-en)": 65.71,
+ "STS17 (es-es)": 80.83,
+ "STS17 (fr-en)": 76.98,
+ "STS17 (it-en)": 76.99,
+ "STS17 (ko-ko)": 71.32,
+ "STS17 (nl-en)": 75.22,
+ "STS22 (ar)": 57.67,
+ "STS22 (de)": 48.58,
+ "STS22 (de-en)": 50.14,
+ "STS22 (de-fr)": 53.28,
+ "STS22 (de-pl)": 58.69,
+ "STS22 (en)": 60.97,
+ "STS22 (es)": 63.18,
+ "STS22 (es-en)": 71.86,
+ "STS22 (es-it)": 69.69,
+ "STS22 (fr)": 77.95,
+ "STS22 (fr-pl)": 61.98,
+ "STS22 (it)": 72.22,
+ "STS22 (pl)": 39.28,
+ "STS22 (pl-en)": 69.41,
+ "STS22 (ru)": 57.49,
+ "STS22 (tr)": 58.15,
+ "STS22 (zh)": 63.02,
+ "STS22 (zh-en)": 64.02,
"STSBenchmark": 72.25,
- "STSBenchmarkMultilingualSTS": 75.1
+ "STSBenchmarkMultilingualSTS (fr)": 75.1
}
]
},
@@ -16087,17 +16390,15 @@
"AllegroReviews": 23.85,
"AmazonCounterfactualClassification (en-ext)": 67.24,
"AmazonCounterfactualClassification (en)": 65.28,
- "AmazonCounterfactualClassification (de)": 57.13,
- "AmazonCounterfactualClassification (ja)": 59.94,
- "AmazonCounterfactualClassification": 59.91,
+ "AmazonCounterfactualClassification (de)": 57.1,
+ "AmazonCounterfactualClassification (ja)": 59.91,
"AmazonPolarityClassification": 62.98,
"AmazonReviewsClassification (en)": 30.79,
- "AmazonReviewsClassification (de)": 25.92,
- "AmazonReviewsClassification (es)": 27.64,
- "AmazonReviewsClassification (fr)": 27.53,
+ "AmazonReviewsClassification (de)": 25.91,
+ "AmazonReviewsClassification (es)": 27.63,
+ "AmazonReviewsClassification (fr)": 27.54,
"AmazonReviewsClassification (ja)": 23.57,
"AmazonReviewsClassification (zh)": 22.99,
- "AmazonReviewsClassification": 22.99,
"AngryTweetsClassification": 42.87,
"Banking77Classification": 80.4,
"CBD": 48.46,
@@ -16111,23 +16412,21 @@
"JDReview": 59.57,
"KinopoiskClassification": 34.17,
"LccSentimentClassification": 41.93,
- "MTOPDomainClassification (en)": 91.88,
+ "MTOPDomainClassification (en)": 91.9,
"MTOPDomainClassification (de)": 72.04,
"MTOPDomainClassification (es)": 72.99,
- "MTOPDomainClassification (fr)": 75.57,
- "MTOPDomainClassification (hi)": 40.4,
+ "MTOPDomainClassification (fr)": 75.59,
+ "MTOPDomainClassification (hi)": 40.36,
"MTOPDomainClassification (th)": 17.1,
- "MTOPDomainClassification": 17.1,
- "MTOPIntentClassification (en)": 62.83,
- "MTOPIntentClassification (de)": 43.42,
- "MTOPIntentClassification (es)": 41.91,
- "MTOPIntentClassification (fr)": 38.96,
- "MTOPIntentClassification (hi)": 17.76,
- "MTOPIntentClassification (th)": 5.9,
- "MTOPIntentClassification": 5.63,
+ "MTOPIntentClassification (en)": 62.84,
+ "MTOPIntentClassification (de)": 43.41,
+ "MTOPIntentClassification (es)": 41.88,
+ "MTOPIntentClassification (fr)": 38.94,
+ "MTOPIntentClassification (hi)": 17.75,
+ "MTOPIntentClassification (th)": 5.63,
"MasakhaNEWSClassification (amh)": 30.64,
"MasakhaNEWSClassification (eng)": 76.62,
- "MasakhaNEWSClassification (fra)": 67.18,
+ "MasakhaNEWSClassification (fra)": 72.2,
"MasakhaNEWSClassification (hau)": 52.59,
"MasakhaNEWSClassification (ibo)": 54.26,
"MasakhaNEWSClassification (lin)": 62.23,
@@ -16141,111 +16440,108 @@
"MasakhaNEWSClassification (tir)": 21.18,
"MasakhaNEWSClassification (xho)": 54.34,
"MasakhaNEWSClassification (yor)": 58.61,
- "MasakhaNEWSClassification": 72.2,
- "MassiveIntentClassification (ja)": 30.89,
+ "MassiveIntentClassification (ja)": 30.94,
"MassiveIntentClassification (zh-CN)": 23.74,
- "MassiveIntentClassification (en)": 67.11,
- "MassiveIntentClassification (nb)": 41.79,
- "MassiveIntentClassification (ur)": 16.26,
- "MassiveIntentClassification (kn)": 3.07,
- "MassiveIntentClassification (ru)": 26.29,
- "MassiveIntentClassification (de)": 44.12,
- "MassiveIntentClassification (az)": 34.3,
- "MassiveIntentClassification (hu)": 37.95,
- "MassiveIntentClassification (ml)": 2.84,
- "MassiveIntentClassification (tr)": 35.93,
+ "MassiveIntentClassification (en)": 67.15,
+ "MassiveIntentClassification (nb)": 41.91,
+ "MassiveIntentClassification (ur)": 16.18,
+ "MassiveIntentClassification (kn)": 3.08,
+ "MassiveIntentClassification (ru)": 26.33,
+ "MassiveIntentClassification (de)": 44.17,
+ "MassiveIntentClassification (az)": 34.25,
+ "MassiveIntentClassification (hu)": 38.0,
+ "MassiveIntentClassification (ml)": 2.85,
+ "MassiveIntentClassification (tr)": 35.9,
"MassiveIntentClassification (ko)": 19.97,
- "MassiveIntentClassification (mn)": 23.27,
- "MassiveIntentClassification (ta)": 13.12,
- "MassiveIntentClassification (fr)": 44.75,
- "MassiveIntentClassification (el)": 28.68,
- "MassiveIntentClassification (sw)": 35.26,
- "MassiveIntentClassification (sv)": 40.33,
- "MassiveIntentClassification (vi)": 37.35,
- "MassiveIntentClassification (ms)": 36.16,
- "MassiveIntentClassification (hi)": 18.0,
+ "MassiveIntentClassification (mn)": 23.25,
+ "MassiveIntentClassification (ta)": 13.1,
+ "MassiveIntentClassification (fr)": 44.82,
+ "MassiveIntentClassification (el)": 28.7,
+ "MassiveIntentClassification (sw)": 35.28,
+ "MassiveIntentClassification (sv)": 40.42,
+ "MassiveIntentClassification (vi)": 37.38,
+ "MassiveIntentClassification (ms)": 36.21,
+ "MassiveIntentClassification (hi)": 17.98,
"MassiveIntentClassification (hy)": 8.69,
- "MassiveIntentClassification (pl)": 37.59,
- "MassiveIntentClassification (pt)": 45.08,
- "MassiveIntentClassification (fi)": 39.19,
- "MassiveIntentClassification (ar)": 21.02,
- "MassiveIntentClassification (da)": 44.35,
- "MassiveIntentClassification (af)": 38.84,
- "MassiveIntentClassification (sq)": 41.47,
+ "MassiveIntentClassification (pl)": 37.63,
+ "MassiveIntentClassification (pt)": 45.12,
+ "MassiveIntentClassification (fi)": 39.27,
+ "MassiveIntentClassification (ar)": 20.94,
+ "MassiveIntentClassification (da)": 44.43,
+ "MassiveIntentClassification (af)": 38.94,
+ "MassiveIntentClassification (sq)": 41.62,
"MassiveIntentClassification (am)": 2.45,
- "MassiveIntentClassification (nl)": 41.77,
- "MassiveIntentClassification (es)": 40.82,
- "MassiveIntentClassification (it)": 43.16,
- "MassiveIntentClassification (km)": 4.98,
- "MassiveIntentClassification (id)": 39.65,
- "MassiveIntentClassification (bn)": 13.7,
- "MassiveIntentClassification (is)": 35.17,
- "MassiveIntentClassification (jv)": 36.67,
+ "MassiveIntentClassification (nl)": 41.85,
+ "MassiveIntentClassification (es)": 40.91,
+ "MassiveIntentClassification (it)": 43.17,
+ "MassiveIntentClassification (km)": 4.99,
+ "MassiveIntentClassification (id)": 39.66,
+ "MassiveIntentClassification (bn)": 13.67,
+ "MassiveIntentClassification (is)": 35.14,
+ "MassiveIntentClassification (jv)": 36.69,
"MassiveIntentClassification (ka)": 9.17,
- "MassiveIntentClassification (ro)": 41.64,
- "MassiveIntentClassification (sl)": 38.48,
- "MassiveIntentClassification (zh-TW)": 22.38,
- "MassiveIntentClassification (tl)": 38.63,
- "MassiveIntentClassification (fa)": 23.56,
- "MassiveIntentClassification (te)": 2.54,
- "MassiveIntentClassification (lv)": 38.54,
- "MassiveIntentClassification (my)": 4.36,
- "MassiveIntentClassification (th)": 10.46,
- "MassiveIntentClassification (he)": 23.71,
- "MassiveIntentClassification (cy)": 35.65,
- "MassiveIntentClassification": 22.39,
+ "MassiveIntentClassification (ro)": 41.71,
+ "MassiveIntentClassification (sl)": 38.52,
+ "MassiveIntentClassification (zh-TW)": 22.39,
+ "MassiveIntentClassification (tl)": 38.56,
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+ "MassiveIntentClassification (lv)": 38.61,
+ "MassiveIntentClassification (my)": 4.38,
+ "MassiveIntentClassification (th)": 10.54,
+ "MassiveIntentClassification (he)": 23.65,
+ "MassiveIntentClassification (cy)": 35.71,
"MassiveScenarioClassification (pt)": 53.0,
- "MassiveScenarioClassification (zh-TW)": 31.14,
- "MassiveScenarioClassification (sv)": 46.81,
+ "MassiveScenarioClassification (zh-TW)": 31.16,
+ "MassiveScenarioClassification (sv)": 46.83,
"MassiveScenarioClassification (fa)": 29.0,
"MassiveScenarioClassification (lv)": 42.75,
- "MassiveScenarioClassification (fr)": 53.77,
+ "MassiveScenarioClassification (fr)": 53.76,
"MassiveScenarioClassification (ml)": 7.25,
- "MassiveScenarioClassification (is)": 43.11,
- "MassiveScenarioClassification (sq)": 49.12,
+ "MassiveScenarioClassification (is)": 43.08,
+ "MassiveScenarioClassification (sq)": 49.14,
"MassiveScenarioClassification (am)": 7.41,
- "MassiveScenarioClassification (cy)": 41.43,
- "MassiveScenarioClassification (ro)": 49.94,
+ "MassiveScenarioClassification (cy)": 41.4,
+ "MassiveScenarioClassification (ro)": 49.97,
"MassiveScenarioClassification (th)": 18.32,
"MassiveScenarioClassification (kn)": 8.32,
- "MassiveScenarioClassification (ur)": 24.45,
- "MassiveScenarioClassification (id)": 44.37,
- "MassiveScenarioClassification (el)": 35.55,
- "MassiveScenarioClassification (he)": 25.73,
- "MassiveScenarioClassification (my)": 10.06,
- "MassiveScenarioClassification (de)": 52.08,
- "MassiveScenarioClassification (hi)": 23.03,
- "MassiveScenarioClassification (hu)": 44.1,
- "MassiveScenarioClassification (tl)": 48.29,
- "MassiveScenarioClassification (en)": 74.57,
- "MassiveScenarioClassification (vi)": 40.97,
+ "MassiveScenarioClassification (ur)": 24.46,
+ "MassiveScenarioClassification (id)": 44.35,
+ "MassiveScenarioClassification (el)": 35.51,
+ "MassiveScenarioClassification (he)": 25.68,
+ "MassiveScenarioClassification (my)": 10.07,
+ "MassiveScenarioClassification (de)": 52.07,
+ "MassiveScenarioClassification (hi)": 23.02,
+ "MassiveScenarioClassification (hu)": 44.09,
+ "MassiveScenarioClassification (tl)": 48.31,
+ "MassiveScenarioClassification (en)": 74.58,
+ "MassiveScenarioClassification (vi)": 40.94,
"MassiveScenarioClassification (bn)": 18.98,
- "MassiveScenarioClassification (ka)": 14.85,
- "MassiveScenarioClassification (hy)": 14.87,
- "MassiveScenarioClassification (pl)": 44.74,
+ "MassiveScenarioClassification (ka)": 14.84,
+ "MassiveScenarioClassification (hy)": 14.83,
+ "MassiveScenarioClassification (pl)": 44.72,
"MassiveScenarioClassification (sw)": 43.18,
- "MassiveScenarioClassification (it)": 51.7,
- "MassiveScenarioClassification (tr)": 41.8,
- "MassiveScenarioClassification (nl)": 49.14,
- "MassiveScenarioClassification (az)": 39.62,
- "MassiveScenarioClassification (da)": 49.5,
- "MassiveScenarioClassification (es)": 50.73,
- "MassiveScenarioClassification (ar)": 27.66,
- "MassiveScenarioClassification (sl)": 42.24,
- "MassiveScenarioClassification (jv)": 44.54,
- "MassiveScenarioClassification (ms)": 44.67,
+ "MassiveScenarioClassification (it)": 51.71,
+ "MassiveScenarioClassification (tr)": 41.79,
+ "MassiveScenarioClassification (nl)": 49.15,
+ "MassiveScenarioClassification (az)": 39.58,
+ "MassiveScenarioClassification (da)": 49.47,
+ "MassiveScenarioClassification (es)": 50.74,
+ "MassiveScenarioClassification (ar)": 27.62,
+ "MassiveScenarioClassification (sl)": 42.26,
+ "MassiveScenarioClassification (jv)": 44.57,
+ "MassiveScenarioClassification (ms)": 44.65,
"MassiveScenarioClassification (fi)": 45.8,
"MassiveScenarioClassification (km)": 9.75,
- "MassiveScenarioClassification (ru)": 28.77,
- "MassiveScenarioClassification (mn)": 29.01,
- "MassiveScenarioClassification (ta)": 19.4,
+ "MassiveScenarioClassification (ru)": 28.75,
+ "MassiveScenarioClassification (mn)": 29.03,
+ "MassiveScenarioClassification (ta)": 19.38,
"MassiveScenarioClassification (te)": 7.74,
- "MassiveScenarioClassification (ja)": 36.77,
+ "MassiveScenarioClassification (ja)": 36.75,
"MassiveScenarioClassification (ko)": 25.72,
- "MassiveScenarioClassification (zh-CN)": 33.19,
- "MassiveScenarioClassification (nb)": 47.35,
- "MassiveScenarioClassification (af)": 45.72,
- "MassiveScenarioClassification": 31.16,
+ "MassiveScenarioClassification (zh-CN)": 33.18,
+ "MassiveScenarioClassification (nb)": 47.36,
+ "MassiveScenarioClassification (af)": 45.71,
"MultilingualSentiment": 40.52,
"NoRecClassification": 37.73,
"NordicLangClassification": 54.17,
@@ -16293,7 +16589,6 @@
"MasakhaNEWSClusteringP2P (tir)": 44.08,
"MasakhaNEWSClusteringP2P (xho)": 26.97,
"MasakhaNEWSClusteringP2P (yor)": 32.51,
- "MasakhaNEWSClusteringP2P": 42.72,
"MasakhaNEWSClusteringS2S (amh)": 44.11,
"MasakhaNEWSClusteringS2S (eng)": 40.71,
"MasakhaNEWSClusteringS2S (fra)": 32.47,
@@ -16310,7 +16605,6 @@
"MasakhaNEWSClusteringS2S (tir)": 43.63,
"MasakhaNEWSClusteringS2S (xho)": 24.55,
"MasakhaNEWSClusteringS2S (yor)": 32.85,
- "MasakhaNEWSClusteringS2S": 32.47,
"MedrxivClusteringP2P": 34.25,
"MedrxivClusteringS2S": 32.24,
"RedditClustering": 51.18,
@@ -16517,7 +16811,7 @@
"XPQARetrieval (cmn-cmn)": 21.07,
"XPQARetrieval (eng-cmn)": 6.58,
"XPQARetrieval (cmn-eng)": 9.39,
- "XPQARetrieval": 55.9
+ "XPQARetrieval (fr)": 55.9
}
]
},
@@ -16586,8 +16880,35 @@
},
{
"Model": "all-MiniLM-L12-v2",
- "STS17": 24.51,
- "STS22": 44.39
+ "STS17 (ar-ar)": 58.71,
+ "STS17 (en-ar)": 0.54,
+ "STS17 (en-de)": 27.54,
+ "STS17 (en-en)": 88.63,
+ "STS17 (en-tr)": 0.43,
+ "STS17 (es-en)": 22.01,
+ "STS17 (es-es)": 78.37,
+ "STS17 (fr-en)": 30.7,
+ "STS17 (it-en)": 24.28,
+ "STS17 (ko-ko)": 43.37,
+ "STS17 (nl-en)": 24.51,
+ "STS22 (ar)": 17.54,
+ "STS22 (de)": 22.53,
+ "STS22 (de-en)": 42.86,
+ "STS22 (de-fr)": 43.52,
+ "STS22 (de-pl)": 1.63,
+ "STS22 (en)": 65.67,
+ "STS22 (es)": 43.98,
+ "STS22 (es-en)": 53.99,
+ "STS22 (es-it)": 40.71,
+ "STS22 (fr)": 69.51,
+ "STS22 (fr-pl)": 16.9,
+ "STS22 (it)": 47.48,
+ "STS22 (pl)": 19.22,
+ "STS22 (pl-en)": 42.67,
+ "STS22 (ru)": 11.19,
+ "STS22 (tr)": 21.6,
+ "STS22 (zh)": 33.15,
+ "STS22 (zh-en)": 44.39
}
]
},
@@ -16751,13 +17072,11 @@
{
"Model": "all-MiniLM-L6-v2",
"AllegroReviews": 24.64,
- "AmazonCounterfactualClassification": 64.15,
- "AmazonCounterfactualClassification (en-ext)": 65.59,
"AmazonCounterfactualClassification (en)": 63.64,
+ "AmazonCounterfactualClassification (en-ext)": 65.59,
"AmazonCounterfactualClassification (de)": 57.82,
"AmazonCounterfactualClassification (ja)": 60.9,
"AmazonPolarityClassification": 64.26,
- "AmazonReviewsClassification": 31.79,
"AmazonReviewsClassification (en)": 30.85,
"AmazonReviewsClassification (de)": 26.44,
"AmazonReviewsClassification (es)": 27.35,
@@ -16778,24 +17097,21 @@
"JDReview": 59.98,
"KinopoiskClassification": 33.93,
"LccSentimentClassification": 38.53,
- "MTOPDomainClassification": 91.56,
"MTOPDomainClassification (en)": 91.68,
"MTOPDomainClassification (de)": 70.47,
"MTOPDomainClassification (es)": 72.99,
"MTOPDomainClassification (fr)": 75.1,
"MTOPDomainClassification (hi)": 40.74,
"MTOPDomainClassification (th)": 15.66,
- "MTOPIntentClassification": 62.18,
"MTOPIntentClassification (en)": 61.55,
"MTOPIntentClassification (de)": 45.7,
"MTOPIntentClassification (es)": 44.19,
"MTOPIntentClassification (fr)": 39.67,
"MTOPIntentClassification (hi)": 18.69,
"MTOPIntentClassification (th)": 5.03,
- "MasakhaNEWSClassification": 74.05,
+ "MasakhaNEWSClassification (fra)": 68.84,
"MasakhaNEWSClassification (amh)": 33.03,
"MasakhaNEWSClassification (eng)": 77.11,
- "MasakhaNEWSClassification (fra)": 68.84,
"MasakhaNEWSClassification (hau)": 50.49,
"MasakhaNEWSClassification (ibo)": 52.15,
"MasakhaNEWSClassification (lin)": 68.29,
@@ -16809,9 +17125,11 @@
"MasakhaNEWSClassification (tir)": 28.97,
"MasakhaNEWSClassification (xho)": 54.14,
"MasakhaNEWSClassification (yor)": 55.01,
- "MassiveIntentClassification": 38.1,
- "MassiveIntentClassification (mn)": 20.35,
"MassiveIntentClassification (en)": 66.94,
+ "MassiveIntentClassification (da)": 41.0,
+ "MassiveIntentClassification (nb)": 39.36,
+ "MassiveIntentClassification (sv)": 38.09,
+ "MassiveIntentClassification (mn)": 20.35,
"MassiveIntentClassification (ta)": 11.31,
"MassiveIntentClassification (ru)": 27.58,
"MassiveIntentClassification (fi)": 38.37,
@@ -16819,7 +17137,6 @@
"MassiveIntentClassification (hi)": 17.7,
"MassiveIntentClassification (fr)": 42.55,
"MassiveIntentClassification (pt)": 43.76,
- "MassiveIntentClassification (sv)": 38.09,
"MassiveIntentClassification (ml)": 2.89,
"MassiveIntentClassification (zh-TW)": 22.56,
"MassiveIntentClassification (vi)": 37.09,
@@ -16841,11 +17158,9 @@
"MassiveIntentClassification (de)": 43.44,
"MassiveIntentClassification (th)": 11.26,
"MassiveIntentClassification (cy)": 34.54,
- "MassiveIntentClassification (da)": 41.0,
"MassiveIntentClassification (ko)": 16.05,
"MassiveIntentClassification (kn)": 3.14,
"MassiveIntentClassification (my)": 4.24,
- "MassiveIntentClassification (nb)": 39.36,
"MassiveIntentClassification (zh-CN)": 24.4,
"MassiveIntentClassification (ro)": 40.54,
"MassiveIntentClassification (ja)": 31.87,
@@ -16861,7 +17176,10 @@
"MassiveIntentClassification (sl)": 36.7,
"MassiveIntentClassification (km)": 4.91,
"MassiveIntentClassification (es)": 39.88,
- "MassiveScenarioClassification": 42.93,
+ "MassiveScenarioClassification (en)": 73.81,
+ "MassiveScenarioClassification (da)": 47.02,
+ "MassiveScenarioClassification (nb)": 44.67,
+ "MassiveScenarioClassification (sv)": 42.95,
"MassiveScenarioClassification (ka)": 14.92,
"MassiveScenarioClassification (tr)": 38.85,
"MassiveScenarioClassification (es)": 49.0,
@@ -16875,7 +17193,6 @@
"MassiveScenarioClassification (nl)": 48.43,
"MassiveScenarioClassification (ja)": 37.3,
"MassiveScenarioClassification (ml)": 7.67,
- "MassiveScenarioClassification (da)": 47.02,
"MassiveScenarioClassification (kn)": 7.85,
"MassiveScenarioClassification (my)": 10.61,
"MassiveScenarioClassification (ms)": 43.67,
@@ -16907,9 +17224,6 @@
"MassiveScenarioClassification (bn)": 20.56,
"MassiveScenarioClassification (fi)": 42.38,
"MassiveScenarioClassification (pt)": 50.72,
- "MassiveScenarioClassification (en)": 73.81,
- "MassiveScenarioClassification (sv)": 42.95,
- "MassiveScenarioClassification (nb)": 44.67,
"MassiveScenarioClassification (zh-CN)": 33.65,
"MassiveScenarioClassification (ur)": 23.73,
"MassiveScenarioClassification (de)": 51.47,
@@ -16949,10 +17263,9 @@
"MLSUMClusteringP2P (ru)": 23.91,
"MLSUMClusteringS2S": 28.12,
"MLSUMClusteringS2S (ru)": 19.07,
- "MasakhaNEWSClusteringP2P": 34.92,
+ "MasakhaNEWSClusteringP2P (fra)": 34.92,
"MasakhaNEWSClusteringP2P (amh)": 43.85,
"MasakhaNEWSClusteringP2P (eng)": 48.88,
- "MasakhaNEWSClusteringP2P (fra)": 34.92,
"MasakhaNEWSClusteringP2P (hau)": 24.77,
"MasakhaNEWSClusteringP2P (ibo)": 45.94,
"MasakhaNEWSClusteringP2P (lin)": 69.56,
@@ -16966,10 +17279,9 @@
"MasakhaNEWSClusteringP2P (tir)": 42.93,
"MasakhaNEWSClusteringP2P (xho)": 28.58,
"MasakhaNEWSClusteringP2P (yor)": 31.45,
- "MasakhaNEWSClusteringS2S": 40.58,
+ "MasakhaNEWSClusteringS2S (fra)": 40.58,
"MasakhaNEWSClusteringS2S (amh)": 45.44,
"MasakhaNEWSClusteringS2S (eng)": 41.09,
- "MasakhaNEWSClusteringS2S (fra)": 40.58,
"MasakhaNEWSClusteringS2S (hau)": 15.42,
"MasakhaNEWSClusteringS2S (ibo)": 37.02,
"MasakhaNEWSClusteringS2S (lin)": 65.14,
@@ -17023,19 +17335,17 @@
{
"Model": "all-MiniLM-L6-v2",
"CDSC-E": 47.27,
- "OpusparcusPC": 86.53,
+ "OpusparcusPC (fr)": 86.53,
"OpusparcusPC (de)": 89.91,
"OpusparcusPC (en)": 97.46,
"OpusparcusPC (fi)": 85.44,
- "OpusparcusPC (fr)": 86.53,
"OpusparcusPC (ru)": 79.28,
"OpusparcusPC (sv)": 83.78,
"PSC": 81.87,
- "PawsXPairClassification": 55.51,
+ "PawsXPairClassification (fr)": 55.52,
"PawsXPairClassification (de)": 51.55,
"PawsXPairClassification (en)": 59.1,
"PawsXPairClassification (es)": 52.23,
- "PawsXPairClassification (fr)": 55.52,
"PawsXPairClassification (ja)": 49.19,
"PawsXPairClassification (ko)": 50.59,
"PawsXPairClassification (zh)": 53.18,
@@ -17047,8 +17357,8 @@
},
{
"Model": "all-MiniLM-L6-v2",
- "OpusparcusPC": 86.53,
- "PawsXPairClassification": 55.4,
+ "OpusparcusPC (fr)": 86.53,
+ "PawsXPairClassification (fr)": 55.4,
"SprintDuplicateQuestions": 94.55,
"TwitterSemEval2015": 67.86,
"TwitterURLCorpus": 84.7
@@ -17127,11 +17437,10 @@
"MMarcoRetrieval": 6.21,
"MSMARCO": 36.54,
"MedicalRetrieval": 1.76,
- "MintakaRetrieval": 9.19,
+ "MintakaRetrieval (fr)": 9.19,
"MintakaRetrieval (ar)": 2.22,
"MintakaRetrieval (de)": 15.43,
"MintakaRetrieval (es)": 7.72,
- "MintakaRetrieval (fr)": 9.19,
"MintakaRetrieval (hi)": 2.65,
"MintakaRetrieval (it)": 8.48,
"MintakaRetrieval (ja)": 6.72,
@@ -17166,7 +17475,7 @@
"Touche2020": 16.9,
"VideoRetrieval": 9.79,
"WinoGrande": 47.35,
- "XPQARetrieval": 51.79,
+ "XPQARetrieval (fr)": 51.79,
"XPQARetrieval (ara-ara)": 8.05,
"XPQARetrieval (eng-ara)": 1.9,
"XPQARetrieval (ara-eng)": 6.87,
@@ -17279,10 +17588,37 @@
"STS14": 75.59,
"STS15": 85.39,
"STS16": 78.99,
- "STS17": 29.0,
- "STS22": 41.64,
+ "STS17 (ar-ar)": 50.89,
+ "STS17 (en-ar)": -4.28,
+ "STS17 (en-de)": 35.82,
+ "STS17 (en-en)": 87.59,
+ "STS17 (en-tr)": 4.5,
+ "STS17 (es-en)": 16.31,
+ "STS17 (es-es)": 76.12,
+ "STS17 (fr-en)": 37.09,
+ "STS17 (it-en)": 24.45,
+ "STS17 (ko-ko)": 43.39,
+ "STS17 (nl-en)": 29.0,
+ "STS22 (ar)": 22.64,
+ "STS22 (de)": 31.04,
+ "STS22 (de-en)": 44.04,
+ "STS22 (de-fr)": 30.07,
+ "STS22 (de-pl)": 4.93,
+ "STS22 (en)": 67.21,
+ "STS22 (es)": 54.78,
+ "STS22 (es-en)": 53.42,
+ "STS22 (es-it)": 44.27,
+ "STS22 (fr)": 77.0,
+ "STS22 (fr-pl)": 50.71,
+ "STS22 (it)": 60.4,
+ "STS22 (pl)": 26.77,
+ "STS22 (pl-en)": 32.8,
+ "STS22 (ru)": 14.72,
+ "STS22 (tr)": 33.69,
+ "STS22 (zh)": 44.93,
+ "STS22 (zh-en)": 41.64,
"STSBenchmark": 82.03,
- "STSBenchmarkMultilingualSTS": 64.93
+ "STSBenchmarkMultilingualSTS (fr)": 64.93
}
]
},
@@ -17554,7 +17890,7 @@
"MasakhaNEWSClassification (tir)": 27.46,
"MasakhaNEWSClassification (xho)": 60.98,
"MasakhaNEWSClassification (yor)": 63.33,
- "MassiveIntentClassification": 69.57,
+ "MassiveIntentClassification (en)": 69.76,
"MassiveIntentClassification (ar)": 20.42,
"MassiveIntentClassification (is)": 31.46,
"MassiveIntentClassification (ru)": 23.98,
@@ -17574,7 +17910,6 @@
"MassiveIntentClassification (hy)": 10.11,
"MassiveIntentClassification (nl)": 38.49,
"MassiveIntentClassification (tr)": 32.02,
- "MassiveIntentClassification (en)": 69.76,
"MassiveIntentClassification (ur)": 12.86,
"MassiveIntentClassification (cy)": 30.82,
"MassiveIntentClassification (fr)": 44.27,
@@ -17606,7 +17941,7 @@
"MassiveIntentClassification (ko)": 13.35,
"MassiveIntentClassification (sl)": 34.49,
"MassiveIntentClassification (km)": 4.76,
- "MassiveScenarioClassification": 76.01,
+ "MassiveScenarioClassification (en)": 75.67,
"MassiveScenarioClassification (ko)": 17.28,
"MassiveScenarioClassification (sv)": 44.53,
"MassiveScenarioClassification (hy)": 16.86,
@@ -17632,7 +17967,6 @@
"MassiveScenarioClassification (el)": 33.85,
"MassiveScenarioClassification (az)": 36.42,
"MassiveScenarioClassification (he)": 25.49,
- "MassiveScenarioClassification (en)": 75.67,
"MassiveScenarioClassification (ka)": 13.45,
"MassiveScenarioClassification (af)": 43.63,
"MassiveScenarioClassification (bn)": 17.49,
@@ -18015,8 +18349,8 @@
},
{
"Model": "all-mpnet-base-v2",
- "STS17": 90.6,
- "STS22": 67.95
+ "STS17 (en-en)": 90.6,
+ "STS22 (en)": 67.95
}
]
},
@@ -18113,16 +18447,134 @@
"accuracy": [
{
"Model": "allenai-specter",
- "AmazonCounterfactualClassification": 43.87,
+ "AmazonCounterfactualClassification (de)": 54.46,
+ "AmazonCounterfactualClassification (en)": 58.7,
+ "AmazonCounterfactualClassification (en-ext)": 59.28,
+ "AmazonCounterfactualClassification (ja)": 43.87,
"AmazonPolarityClassification": 57.77,
- "AmazonReviewsClassification": 20.49,
+ "AmazonReviewsClassification (de)": 24.08,
+ "AmazonReviewsClassification (en)": 26.26,
+ "AmazonReviewsClassification (es)": 23.88,
+ "AmazonReviewsClassification (fr)": 23.31,
+ "AmazonReviewsClassification (ja)": 20.25,
+ "AmazonReviewsClassification (zh)": 20.49,
"Banking77Classification": 66.66,
"EmotionClassification": 24.82,
"ImdbClassification": 56.35,
- "MTOPDomainClassification": 14.98,
- "MTOPIntentClassification": 4.67,
- "MassiveIntentClassification": 4.79,
- "MassiveScenarioClassification": 10.19,
+ "MTOPDomainClassification (de)": 48.55,
+ "MTOPDomainClassification (en)": 74.53,
+ "MTOPDomainClassification (es)": 58.39,
+ "MTOPDomainClassification (fr)": 54.61,
+ "MTOPDomainClassification (hi)": 21.22,
+ "MTOPDomainClassification (th)": 14.98,
+ "MTOPIntentClassification (de)": 35.55,
+ "MTOPIntentClassification (en)": 50.05,
+ "MTOPIntentClassification (es)": 36.72,
+ "MTOPIntentClassification (fr)": 34.71,
+ "MTOPIntentClassification (hi)": 4.44,
+ "MTOPIntentClassification (th)": 4.67,
+ "MassiveIntentClassification (af)": 33.68,
+ "MassiveIntentClassification (am)": 2.94,
+ "MassiveIntentClassification (ar)": 10.04,
+ "MassiveIntentClassification (az)": 30.74,
+ "MassiveIntentClassification (bn)": 3.02,
+ "MassiveIntentClassification (cy)": 33.94,
+ "MassiveIntentClassification (da)": 38.47,
+ "MassiveIntentClassification (de)": 36.06,
+ "MassiveIntentClassification (el)": 27.7,
+ "MassiveIntentClassification (en)": 51.73,
+ "MassiveIntentClassification (es)": 35.6,
+ "MassiveIntentClassification (fa)": 17.97,
+ "MassiveIntentClassification (fi)": 35.53,
+ "MassiveIntentClassification (fr)": 38.41,
+ "MassiveIntentClassification (he)": 2.69,
+ "MassiveIntentClassification (hi)": 3.43,
+ "MassiveIntentClassification (hu)": 34.05,
+ "MassiveIntentClassification (hy)": 3.11,
+ "MassiveIntentClassification (id)": 40.02,
+ "MassiveIntentClassification (is)": 32.63,
+ "MassiveIntentClassification (it)": 39.28,
+ "MassiveIntentClassification (ja)": 4.95,
+ "MassiveIntentClassification (jv)": 34.95,
+ "MassiveIntentClassification (ka)": 2.57,
+ "MassiveIntentClassification (km)": 4.73,
+ "MassiveIntentClassification (kn)": 3.54,
+ "MassiveIntentClassification (ko)": 2.68,
+ "MassiveIntentClassification (lv)": 37.91,
+ "MassiveIntentClassification (ml)": 2.88,
+ "MassiveIntentClassification (mn)": 16.94,
+ "MassiveIntentClassification (ms)": 36.6,
+ "MassiveIntentClassification (my)": 3.96,
+ "MassiveIntentClassification (nb)": 34.75,
+ "MassiveIntentClassification (nl)": 33.95,
+ "MassiveIntentClassification (pl)": 35.77,
+ "MassiveIntentClassification (pt)": 43.05,
+ "MassiveIntentClassification (ro)": 36.2,
+ "MassiveIntentClassification (ru)": 25.3,
+ "MassiveIntentClassification (sl)": 35.9,
+ "MassiveIntentClassification (sq)": 36.6,
+ "MassiveIntentClassification (sv)": 36.0,
+ "MassiveIntentClassification (sw)": 34.81,
+ "MassiveIntentClassification (ta)": 3.11,
+ "MassiveIntentClassification (te)": 2.53,
+ "MassiveIntentClassification (th)": 4.38,
+ "MassiveIntentClassification (tl)": 35.51,
+ "MassiveIntentClassification (tr)": 32.02,
+ "MassiveIntentClassification (ur)": 9.61,
+ "MassiveIntentClassification (vi)": 37.07,
+ "MassiveIntentClassification (zh-CN)": 2.81,
+ "MassiveIntentClassification (zh-TW)": 4.79,
+ "MassiveScenarioClassification (af)": 36.17,
+ "MassiveScenarioClassification (am)": 7.64,
+ "MassiveScenarioClassification (ar)": 15.26,
+ "MassiveScenarioClassification (az)": 30.73,
+ "MassiveScenarioClassification (bn)": 7.15,
+ "MassiveScenarioClassification (cy)": 34.73,
+ "MassiveScenarioClassification (da)": 39.93,
+ "MassiveScenarioClassification (de)": 38.62,
+ "MassiveScenarioClassification (el)": 27.18,
+ "MassiveScenarioClassification (en)": 58.58,
+ "MassiveScenarioClassification (es)": 39.44,
+ "MassiveScenarioClassification (fa)": 21.43,
+ "MassiveScenarioClassification (fi)": 33.21,
+ "MassiveScenarioClassification (fr)": 40.26,
+ "MassiveScenarioClassification (he)": 7.42,
+ "MassiveScenarioClassification (hi)": 8.06,
+ "MassiveScenarioClassification (hu)": 34.54,
+ "MassiveScenarioClassification (hy)": 8.61,
+ "MassiveScenarioClassification (id)": 40.04,
+ "MassiveScenarioClassification (is)": 33.57,
+ "MassiveScenarioClassification (it)": 40.1,
+ "MassiveScenarioClassification (ja)": 9.96,
+ "MassiveScenarioClassification (jv)": 36.11,
+ "MassiveScenarioClassification (ka)": 7.13,
+ "MassiveScenarioClassification (km)": 9.66,
+ "MassiveScenarioClassification (kn)": 7.55,
+ "MassiveScenarioClassification (ko)": 7.27,
+ "MassiveScenarioClassification (lv)": 37.03,
+ "MassiveScenarioClassification (ml)": 7.22,
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+ "MassiveScenarioClassification (ms)": 37.57,
+ "MassiveScenarioClassification (my)": 9.54,
+ "MassiveScenarioClassification (nb)": 35.71,
+ "MassiveScenarioClassification (nl)": 34.62,
+ "MassiveScenarioClassification (pl)": 36.87,
+ "MassiveScenarioClassification (pt)": 44.68,
+ "MassiveScenarioClassification (ro)": 37.29,
+ "MassiveScenarioClassification (ru)": 28.16,
+ "MassiveScenarioClassification (sl)": 37.95,
+ "MassiveScenarioClassification (sq)": 37.82,
+ "MassiveScenarioClassification (sv)": 35.35,
+ "MassiveScenarioClassification (sw)": 35.37,
+ "MassiveScenarioClassification (ta)": 7.19,
+ "MassiveScenarioClassification (te)": 7.29,
+ "MassiveScenarioClassification (th)": 9.47,
+ "MassiveScenarioClassification (tl)": 37.31,
+ "MassiveScenarioClassification (tr)": 34.57,
+ "MassiveScenarioClassification (ur)": 16.17,
+ "MassiveScenarioClassification (vi)": 35.91,
+ "MassiveScenarioClassification (zh-CN)": 9.19,
+ "MassiveScenarioClassification (zh-TW)": 10.19,
"ToxicConversationsClassification": 57.44,
"TweetSentimentExtractionClassification": 45.52
}
@@ -18206,8 +18658,35 @@
"STS14": 54.87,
"STS15": 62.54,
"STS16": 64.27,
- "STS17": 24.92,
- "STS22": 8.44,
+ "STS17 (ar-ar)": 27.14,
+ "STS17 (en-ar)": 6.9,
+ "STS17 (en-de)": 11.59,
+ "STS17 (en-en)": 69.63,
+ "STS17 (en-tr)": 6.46,
+ "STS17 (es-en)": 10.86,
+ "STS17 (es-es)": 55.45,
+ "STS17 (fr-en)": 16.02,
+ "STS17 (it-en)": 19.87,
+ "STS17 (ko-ko)": 8.08,
+ "STS17 (nl-en)": 24.92,
+ "STS22 (ar)": 19.57,
+ "STS22 (de)": 17.31,
+ "STS22 (de-en)": 26.03,
+ "STS22 (de-fr)": 10.26,
+ "STS22 (de-pl)": 16.94,
+ "STS22 (en)": 55.06,
+ "STS22 (es)": 48.89,
+ "STS22 (es-en)": 51.79,
+ "STS22 (es-it)": 25.24,
+ "STS22 (fr)": 53.92,
+ "STS22 (fr-pl)": 39.44,
+ "STS22 (it)": 39.43,
+ "STS22 (pl)": 13.56,
+ "STS22 (pl-en)": 25.36,
+ "STS22 (ru)": 1.11,
+ "STS22 (tr)": 31.73,
+ "STS22 (zh)": 16.35,
+ "STS22 (zh-en)": 8.44,
"STSBenchmark": 61.26
}
]
@@ -18232,7 +18711,10 @@
"f1": [
{
"Model": "average_word_embeddings_glove.6B.300d",
- "BUCC": 0.0
+ "BUCC (de-en)": 0.18,
+ "BUCC (fr-en)": 0.19,
+ "BUCC (ru-en)": 0.1,
+ "BUCC (zh-en)": 0.0
}
]
},
@@ -18240,16 +18722,16 @@
"accuracy": [
{
"Model": "average_word_embeddings_glove.6B.300d",
- "AmazonCounterfactualClassification": 56.91,
+ "AmazonCounterfactualClassification (en)": 56.91,
"AmazonPolarityClassification": 60.32,
- "AmazonReviewsClassification": 29.67,
+ "AmazonReviewsClassification (en)": 29.67,
"Banking77Classification": 67.69,
"EmotionClassification": 36.93,
"ImdbClassification": 62.57,
- "MTOPDomainClassification": 79.11,
- "MTOPIntentClassification": 55.85,
- "MassiveIntentClassification": 56.19,
- "MassiveScenarioClassification": 66.03,
+ "MTOPDomainClassification (en)": 79.11,
+ "MTOPIntentClassification (en)": 55.85,
+ "MassiveIntentClassification (en)": 56.19,
+ "MassiveScenarioClassification (en)": 66.03,
"ToxicConversationsClassification": 65.4,
"TweetSentimentExtractionClassification": 50.8
}
@@ -18333,8 +18815,8 @@
"STS14": 60.81,
"STS15": 72.31,
"STS16": 65.34,
- "STS17": 77.95,
- "STS22": 56.35,
+ "STS17 (en-en)": 77.95,
+ "STS22 (en)": 56.35,
"STSBenchmark": 61.54
}
]
@@ -18359,8 +18841,122 @@
"f1": [
{
"Model": "average_word_embeddings_komninos",
- "BUCC": 0.05,
- "Tatoeba": 7.27
+ "BUCC (de-en)": 0.18,
+ "BUCC (fr-en)": 0.08,
+ "BUCC (ru-en)": 0.15,
+ "BUCC (zh-en)": 0.05,
+ "Tatoeba (afr-eng)": 4.82,
+ "Tatoeba (amh-eng)": 1.18,
+ "Tatoeba (ang-eng)": 8.54,
+ "Tatoeba (ara-eng)": 0.63,
+ "Tatoeba (arq-eng)": 0.4,
+ "Tatoeba (arz-eng)": 0.63,
+ "Tatoeba (ast-eng)": 11.69,
+ "Tatoeba (awa-eng)": 0.0,
+ "Tatoeba (aze-eng)": 3.22,
+ "Tatoeba (bel-eng)": 1.75,
+ "Tatoeba (ben-eng)": 0.2,
+ "Tatoeba (ber-eng)": 7.0,
+ "Tatoeba (bos-eng)": 9.31,
+ "Tatoeba (bre-eng)": 4.17,
+ "Tatoeba (bul-eng)": 1.29,
+ "Tatoeba (cat-eng)": 7.73,
+ "Tatoeba (cbk-eng)": 5.61,
+ "Tatoeba (ceb-eng)": 4.88,
+ "Tatoeba (ces-eng)": 3.55,
+ "Tatoeba (cha-eng)": 19.29,
+ "Tatoeba (cmn-eng)": 0.5,
+ "Tatoeba (cor-eng)": 4.15,
+ "Tatoeba (csb-eng)": 5.69,
+ "Tatoeba (cym-eng)": 8.4,
+ "Tatoeba (dan-eng)": 6.99,
+ "Tatoeba (deu-eng)": 3.67,
+ "Tatoeba (dsb-eng)": 5.33,
+ "Tatoeba (dtp-eng)": 4.25,
+ "Tatoeba (ell-eng)": 0.63,
+ "Tatoeba (epo-eng)": 2.45,
+ "Tatoeba (est-eng)": 2.69,
+ "Tatoeba (eus-eng)": 4.69,
+ "Tatoeba (fao-eng)": 7.61,
+ "Tatoeba (fin-eng)": 3.36,
+ "Tatoeba (fra-eng)": 7.0,
+ "Tatoeba (fry-eng)": 12.36,
+ "Tatoeba (gla-eng)": 3.07,
+ "Tatoeba (gle-eng)": 4.81,
+ "Tatoeba (glg-eng)": 8.12,
+ "Tatoeba (gsw-eng)": 18.87,
+ "Tatoeba (heb-eng)": 0.68,
+ "Tatoeba (hin-eng)": 0.1,
+ "Tatoeba (hrv-eng)": 5.41,
+ "Tatoeba (hsb-eng)": 6.32,
+ "Tatoeba (hun-eng)": 3.42,
+ "Tatoeba (hye-eng)": 0.97,
+ "Tatoeba (ido-eng)": 7.1,
+ "Tatoeba (ile-eng)": 13.61,
+ "Tatoeba (ina-eng)": 8.57,
+ "Tatoeba (ind-eng)": 7.26,
+ "Tatoeba (isl-eng)": 4.09,
+ "Tatoeba (ita-eng)": 5.54,
+ "Tatoeba (jav-eng)": 11.43,
+ "Tatoeba (jpn-eng)": 0.2,
+ "Tatoeba (kab-eng)": 2.71,
+ "Tatoeba (kat-eng)": 1.11,
+ "Tatoeba (kaz-eng)": 1.17,
+ "Tatoeba (khm-eng)": 0.55,
+ "Tatoeba (kor-eng)": 0.5,
+ "Tatoeba (kur-eng)": 8.55,
+ "Tatoeba (kzj-eng)": 4.61,
+ "Tatoeba (lat-eng)": 4.07,
+ "Tatoeba (lfn-eng)": 2.83,
+ "Tatoeba (lit-eng)": 0.95,
+ "Tatoeba (lvs-eng)": 3.25,
+ "Tatoeba (mal-eng)": 0.29,
+ "Tatoeba (mar-eng)": 0.2,
+ "Tatoeba (max-eng)": 14.53,
+ "Tatoeba (mhr-eng)": 0.2,
+ "Tatoeba (mkd-eng)": 0.2,
+ "Tatoeba (mon-eng)": 1.1,
+ "Tatoeba (nds-eng)": 10.37,
+ "Tatoeba (nld-eng)": 9.5,
+ "Tatoeba (nno-eng)": 4.49,
+ "Tatoeba (nob-eng)": 4.95,
+ "Tatoeba (nov-eng)": 14.53,
+ "Tatoeba (oci-eng)": 5.8,
+ "Tatoeba (orv-eng)": 0.24,
+ "Tatoeba (pam-eng)": 6.65,
+ "Tatoeba (pes-eng)": 0.5,
+ "Tatoeba (pms-eng)": 8.05,
+ "Tatoeba (pol-eng)": 5.13,
+ "Tatoeba (por-eng)": 5.87,
+ "Tatoeba (ron-eng)": 6.76,
+ "Tatoeba (rus-eng)": 0.2,
+ "Tatoeba (slk-eng)": 4.23,
+ "Tatoeba (slv-eng)": 6.05,
+ "Tatoeba (spa-eng)": 5.03,
+ "Tatoeba (sqi-eng)": 4.36,
+ "Tatoeba (srp-eng)": 1.77,
+ "Tatoeba (swe-eng)": 6.72,
+ "Tatoeba (swg-eng)": 8.54,
+ "Tatoeba (swh-eng)": 11.49,
+ "Tatoeba (tam-eng)": 1.3,
+ "Tatoeba (tat-eng)": 0.77,
+ "Tatoeba (tel-eng)": 0.85,
+ "Tatoeba (tgl-eng)": 2.61,
+ "Tatoeba (tha-eng)": 0.69,
+ "Tatoeba (tuk-eng)": 5.76,
+ "Tatoeba (tur-eng)": 5.24,
+ "Tatoeba (tzl-eng)": 15.51,
+ "Tatoeba (uig-eng)": 0.6,
+ "Tatoeba (ukr-eng)": 1.23,
+ "Tatoeba (urd-eng)": 0.4,
+ "Tatoeba (uzb-eng)": 4.73,
+ "Tatoeba (vie-eng)": 6.55,
+ "Tatoeba (war-eng)": 4.12,
+ "Tatoeba (wuu-eng)": 0.2,
+ "Tatoeba (xho-eng)": 4.33,
+ "Tatoeba (yid-eng)": 0.59,
+ "Tatoeba (yue-eng)": 0.5,
+ "Tatoeba (zsm-eng)": 7.27
}
]
},
@@ -18368,16 +18964,16 @@
"accuracy": [
{
"Model": "average_word_embeddings_komninos",
- "AmazonCounterfactualClassification": 60.54,
+ "AmazonCounterfactualClassification (en)": 60.54,
"AmazonPolarityClassification": 59.59,
- "AmazonReviewsClassification": 31.01,
+ "AmazonReviewsClassification (en)": 31.01,
"Banking77Classification": 67.05,
"EmotionClassification": 33.18,
"ImdbClassification": 63.98,
- "MTOPDomainClassification": 78.57,
- "MTOPIntentClassification": 57.07,
- "MassiveIntentClassification": 57.21,
- "MassiveScenarioClassification": 66.11,
+ "MTOPDomainClassification (en)": 78.57,
+ "MTOPIntentClassification (en)": 57.07,
+ "MassiveIntentClassification (en)": 57.21,
+ "MassiveScenarioClassification (en)": 66.11,
"ToxicConversationsClassification": 67.76,
"TweetSentimentExtractionClassification": 49.68
}
@@ -18465,8 +19061,35 @@
"STS14": 63.56,
"STS15": 74.08,
"STS16": 64.6,
- "STS17": 0.44,
- "STS22": 14.05,
+ "STS17 (ar-ar)": 13.78,
+ "STS17 (en-ar)": 9.08,
+ "STS17 (en-de)": -3.11,
+ "STS17 (en-en)": 76.91,
+ "STS17 (en-tr)": -0.45,
+ "STS17 (es-en)": -8.18,
+ "STS17 (es-es)": 48.23,
+ "STS17 (fr-en)": 5.81,
+ "STS17 (it-en)": 3.64,
+ "STS17 (ko-ko)": 2.54,
+ "STS17 (nl-en)": 0.44,
+ "STS22 (ar)": 32.42,
+ "STS22 (de)": 33.04,
+ "STS22 (de-en)": 28.65,
+ "STS22 (de-fr)": 14.77,
+ "STS22 (de-pl)": 11.21,
+ "STS22 (en)": 53.89,
+ "STS22 (es)": 48.53,
+ "STS22 (es-en)": 26.97,
+ "STS22 (es-it)": 41.1,
+ "STS22 (fr)": 49.43,
+ "STS22 (fr-pl)": 39.44,
+ "STS22 (it)": 57.77,
+ "STS22 (pl)": 12.47,
+ "STS22 (pl-en)": 45.55,
+ "STS22 (ru)": 19.44,
+ "STS22 (tr)": 47.38,
+ "STS22 (zh)": 4.78,
+ "STS22 (zh-en)": 14.05,
"STSBenchmark": 61.55
}
]
@@ -18495,18 +19118,136 @@
{
"Model": "distiluse-base-multilingual-cased-v2",
"AllegroReviews": 28.03,
- "AmazonCounterfactualClassification": 65.39,
+ "AmazonCounterfactualClassification (de)": 68.14,
+ "AmazonCounterfactualClassification (en)": 71.81,
+ "AmazonCounterfactualClassification (en-ext)": 72.96,
+ "AmazonCounterfactualClassification (ja)": 65.39,
"AmazonPolarityClassification": 68.0,
- "AmazonReviewsClassification": 33.89,
+ "AmazonReviewsClassification (de)": 35.03,
+ "AmazonReviewsClassification (en)": 35.45,
+ "AmazonReviewsClassification (es)": 36.24,
+ "AmazonReviewsClassification (fr)": 35.7,
+ "AmazonReviewsClassification (ja)": 31.08,
+ "AmazonReviewsClassification (zh)": 33.89,
"Banking77Classification": 71.48,
"CBD": 60.0,
"EmotionClassification": 40.04,
"ImdbClassification": 61.52,
- "MTOPDomainClassification": 73.62,
- "MTOPIntentClassification": 47.73,
- "MasakhaNEWSClassification": 76.87,
- "MassiveIntentClassification": 54.96,
- "MassiveScenarioClassification": 62.89,
+ "MTOPDomainClassification (de)": 86.19,
+ "MTOPDomainClassification (en)": 91.59,
+ "MTOPDomainClassification (es)": 87.75,
+ "MTOPDomainClassification (fr)": 84.61,
+ "MTOPDomainClassification (hi)": 76.41,
+ "MTOPDomainClassification (th)": 73.62,
+ "MTOPIntentClassification (de)": 59.21,
+ "MTOPIntentClassification (en)": 66.4,
+ "MTOPIntentClassification (es)": 57.21,
+ "MTOPIntentClassification (fr)": 53.41,
+ "MTOPIntentClassification (hi)": 45.54,
+ "MTOPIntentClassification (th)": 47.73,
+ "MasakhaNEWSClassification (fra)": 76.87,
+ "MassiveIntentClassification (af)": 40.02,
+ "MassiveIntentClassification (am)": 2.35,
+ "MassiveIntentClassification (ar)": 43.14,
+ "MassiveIntentClassification (az)": 25.6,
+ "MassiveIntentClassification (bn)": 4.84,
+ "MassiveIntentClassification (cy)": 15.43,
+ "MassiveIntentClassification (da)": 52.33,
+ "MassiveIntentClassification (de)": 51.57,
+ "MassiveIntentClassification (el)": 49.65,
+ "MassiveIntentClassification (en)": 66.71,
+ "MassiveIntentClassification (es)": 56.57,
+ "MassiveIntentClassification (fa)": 55.36,
+ "MassiveIntentClassification (fi)": 45.72,
+ "MassiveIntentClassification (fr)": 57.02,
+ "MassiveIntentClassification (he)": 46.74,
+ "MassiveIntentClassification (hi)": 48.55,
+ "MassiveIntentClassification (hu)": 50.65,
+ "MassiveIntentClassification (hy)": 40.79,
+ "MassiveIntentClassification (id)": 56.0,
+ "MassiveIntentClassification (is)": 16.08,
+ "MassiveIntentClassification (it)": 57.65,
+ "MassiveIntentClassification (ja)": 55.33,
+ "MassiveIntentClassification (jv)": 28.16,
+ "MassiveIntentClassification (ka)": 29.41,
+ "MassiveIntentClassification (km)": 4.79,
+ "MassiveIntentClassification (kn)": 3.37,
+ "MassiveIntentClassification (ko)": 49.97,
+ "MassiveIntentClassification (lv)": 44.31,
+ "MassiveIntentClassification (ml)": 3.24,
+ "MassiveIntentClassification (mn)": 40.37,
+ "MassiveIntentClassification (ms)": 47.97,
+ "MassiveIntentClassification (my)": 38.48,
+ "MassiveIntentClassification (nb)": 46.01,
+ "MassiveIntentClassification (nl)": 58.29,
+ "MassiveIntentClassification (pl)": 53.1,
+ "MassiveIntentClassification (pt)": 58.63,
+ "MassiveIntentClassification (ro)": 50.63,
+ "MassiveIntentClassification (ru)": 57.96,
+ "MassiveIntentClassification (sl)": 50.66,
+ "MassiveIntentClassification (sq)": 50.25,
+ "MassiveIntentClassification (sv)": 52.41,
+ "MassiveIntentClassification (sw)": 19.29,
+ "MassiveIntentClassification (ta)": 3.79,
+ "MassiveIntentClassification (te)": 3.36,
+ "MassiveIntentClassification (th)": 45.28,
+ "MassiveIntentClassification (tl)": 28.44,
+ "MassiveIntentClassification (tr)": 50.47,
+ "MassiveIntentClassification (ur)": 46.03,
+ "MassiveIntentClassification (vi)": 45.25,
+ "MassiveIntentClassification (zh-CN)": 59.22,
+ "MassiveIntentClassification (zh-TW)": 54.96,
+ "MassiveScenarioClassification (af)": 53.67,
+ "MassiveScenarioClassification (am)": 7.72,
+ "MassiveScenarioClassification (ar)": 52.19,
+ "MassiveScenarioClassification (az)": 34.75,
+ "MassiveScenarioClassification (bn)": 10.65,
+ "MassiveScenarioClassification (cy)": 21.24,
+ "MassiveScenarioClassification (da)": 62.55,
+ "MassiveScenarioClassification (de)": 61.4,
+ "MassiveScenarioClassification (el)": 60.68,
+ "MassiveScenarioClassification (en)": 74.0,
+ "MassiveScenarioClassification (es)": 64.61,
+ "MassiveScenarioClassification (fa)": 59.24,
+ "MassiveScenarioClassification (fi)": 54.66,
+ "MassiveScenarioClassification (fr)": 65.2,
+ "MassiveScenarioClassification (he)": 54.74,
+ "MassiveScenarioClassification (hi)": 55.99,
+ "MassiveScenarioClassification (hu)": 61.2,
+ "MassiveScenarioClassification (hy)": 49.63,
+ "MassiveScenarioClassification (id)": 65.25,
+ "MassiveScenarioClassification (is)": 22.6,
+ "MassiveScenarioClassification (it)": 64.63,
+ "MassiveScenarioClassification (ja)": 62.32,
+ "MassiveScenarioClassification (jv)": 35.77,
+ "MassiveScenarioClassification (ka)": 39.08,
+ "MassiveScenarioClassification (km)": 9.24,
+ "MassiveScenarioClassification (kn)": 8.28,
+ "MassiveScenarioClassification (ko)": 57.6,
+ "MassiveScenarioClassification (lv)": 51.72,
+ "MassiveScenarioClassification (ml)": 8.25,
+ "MassiveScenarioClassification (mn)": 47.21,
+ "MassiveScenarioClassification (ms)": 55.65,
+ "MassiveScenarioClassification (my)": 43.31,
+ "MassiveScenarioClassification (nb)": 54.98,
+ "MassiveScenarioClassification (nl)": 67.49,
+ "MassiveScenarioClassification (pl)": 61.29,
+ "MassiveScenarioClassification (pt)": 64.26,
+ "MassiveScenarioClassification (ro)": 58.03,
+ "MassiveScenarioClassification (ru)": 65.41,
+ "MassiveScenarioClassification (sl)": 59.36,
+ "MassiveScenarioClassification (sq)": 62.69,
+ "MassiveScenarioClassification (sv)": 64.35,
+ "MassiveScenarioClassification (sw)": 25.12,
+ "MassiveScenarioClassification (ta)": 8.67,
+ "MassiveScenarioClassification (te)": 7.82,
+ "MassiveScenarioClassification (th)": 54.65,
+ "MassiveScenarioClassification (tl)": 36.09,
+ "MassiveScenarioClassification (tr)": 60.89,
+ "MassiveScenarioClassification (ur)": 54.71,
+ "MassiveScenarioClassification (vi)": 55.15,
+ "MassiveScenarioClassification (zh-CN)": 66.44,
+ "MassiveScenarioClassification (zh-TW)": 62.89,
"PAC": 68.17,
"PolEmo2.0-IN": 48.84,
"PolEmo2.0-OUT": 30.0,
@@ -18526,8 +19267,8 @@
"HALClusteringS2S": 18.2,
"MLSUMClusteringP2P": 40.17,
"MLSUMClusteringS2S": 34.65,
- "MasakhaNEWSClusteringP2P": 53.76,
- "MasakhaNEWSClusteringS2S": 32.76
+ "MasakhaNEWSClusteringP2P (fra)": 53.76,
+ "MasakhaNEWSClusteringS2S (fra)": 32.76
}
]
},
@@ -18536,10 +19277,10 @@
{
"Model": "distiluse-base-multilingual-cased-v2",
"CDSC-E": 71.83,
- "OpusparcusPC": 92.07,
+ "OpusparcusPC (fr)": 92.07,
"PPC": 86.83,
"PSC": 96.35,
- "PawsXPairClassification": 51.08,
+ "PawsXPairClassification (fr)": 51.08,
"SICK-E-PL": 62.05,
"SprintDuplicateQuestions": 87.15,
"TwitterSemEval2015": 61.67,
@@ -18548,10 +19289,10 @@
{
"Model": "distiluse-base-multilingual-cased-v2",
"CDSC-E": 72.0,
- "OpusparcusPC": 92.07,
+ "OpusparcusPC (fr)": 92.07,
"PPC": 86.83,
"PSC": 96.35,
- "PawsXPairClassification": 51.16,
+ "PawsXPairClassification (fr)": 51.16,
"SICK-E-PL": 62.41,
"SprintDuplicateQuestions": 88.43,
"TwitterSemEval2015": 62.46,
@@ -18583,7 +19324,7 @@
"FiQA-PL": 8.02,
"HotpotQA-PL": 20.83,
"MSMARCO-PL": 4.57,
- "MintakaRetrieval": 22.55,
+ "MintakaRetrieval (fr)": 22.55,
"NFCorpus-PL": 16.28,
"NQ-PL": 5.85,
"Quora-PL": 71.95,
@@ -18591,7 +19332,7 @@
"SciFact-PL": 33.03,
"SyntecRetrieval": 65.34,
"TRECCOVID-PL": 16.91,
- "XPQARetrieval": 51.2
+ "XPQARetrieval (fr)": 51.2
}
]
},
@@ -18609,10 +19350,37 @@
"STS14": 70.29,
"STS15": 81.94,
"STS16": 76.8,
- "STS17": 80.51,
- "STS22": 61.75,
+ "STS17 (ar-ar)": 77.34,
+ "STS17 (en-ar)": 77.46,
+ "STS17 (en-de)": 80.24,
+ "STS17 (en-en)": 86.19,
+ "STS17 (en-tr)": 74.34,
+ "STS17 (es-en)": 77.4,
+ "STS17 (es-es)": 83.71,
+ "STS17 (fr-en)": 79.28,
+ "STS17 (it-en)": 80.82,
+ "STS17 (ko-ko)": 76.4,
+ "STS17 (nl-en)": 80.51,
+ "STS22 (ar)": 49.04,
+ "STS22 (de)": 35.73,
+ "STS22 (de-en)": 47.51,
+ "STS22 (de-fr)": 60.76,
+ "STS22 (de-pl)": 36.09,
+ "STS22 (en)": 62.88,
+ "STS22 (es)": 59.34,
+ "STS22 (es-en)": 68.96,
+ "STS22 (es-it)": 63.28,
+ "STS22 (fr)": 76.41,
+ "STS22 (fr-pl)": 61.98,
+ "STS22 (it)": 65.1,
+ "STS22 (pl)": 34.58,
+ "STS22 (pl-en)": 71.33,
+ "STS22 (ru)": 52.4,
+ "STS22 (tr)": 54.07,
+ "STS22 (zh)": 54.32,
+ "STS22 (zh-en)": 61.75,
"STSBenchmark": 80.75,
- "STSBenchmarkMultilingualSTS": 77.49
+ "STSBenchmarkMultilingualSTS (fr)": 77.49
}
]
},
@@ -18639,16 +19407,16 @@
"accuracy": [
{
"Model": "gtr-t5-base",
- "AmazonCounterfactualClassification": 69.33,
+ "AmazonCounterfactualClassification (en)": 69.33,
"AmazonPolarityClassification": 67.82,
- "AmazonReviewsClassification": 38.48,
+ "AmazonReviewsClassification (en)": 38.48,
"Banking77Classification": 79.26,
"EmotionClassification": 42.2,
"ImdbClassification": 65.99,
- "MTOPDomainClassification": 92.42,
- "MTOPIntentClassification": 62.44,
- "MassiveIntentClassification": 67.05,
- "MassiveScenarioClassification": 75.4,
+ "MTOPDomainClassification (en)": 92.42,
+ "MTOPIntentClassification (en)": 62.44,
+ "MassiveIntentClassification (en)": 67.05,
+ "MassiveScenarioClassification (en)": 75.4,
"ToxicConversationsClassification": 66.6,
"TweetSentimentExtractionClassification": 56.02
}
@@ -18732,8 +19500,8 @@
"STS14": 74.64,
"STS15": 84.85,
"STS16": 81.57,
- "STS17": 85.8,
- "STS22": 66.17,
+ "STS17 (en-en)": 85.8,
+ "STS22 (en)": 66.17,
"STSBenchmark": 79.58
}
]
@@ -18761,16 +19529,134 @@
"accuracy": [
{
"Model": "gtr-t5-large",
- "AmazonCounterfactualClassification": 45.87,
+ "AmazonCounterfactualClassification (de)": 59.38,
+ "AmazonCounterfactualClassification (en)": 70.03,
+ "AmazonCounterfactualClassification (en-ext)": 69.86,
+ "AmazonCounterfactualClassification (ja)": 45.87,
"AmazonPolarityClassification": 73.92,
- "AmazonReviewsClassification": 21.83,
+ "AmazonReviewsClassification (de)": 33.06,
+ "AmazonReviewsClassification (en)": 37.21,
+ "AmazonReviewsClassification (es)": 34.0,
+ "AmazonReviewsClassification (fr)": 33.48,
+ "AmazonReviewsClassification (ja)": 21.78,
+ "AmazonReviewsClassification (zh)": 21.83,
"Banking77Classification": 81.21,
"EmotionClassification": 46.33,
"ImdbClassification": 70.86,
- "MTOPDomainClassification": 16.36,
- "MTOPIntentClassification": 5.38,
- "MassiveIntentClassification": 4.64,
- "MassiveScenarioClassification": 8.16,
+ "MTOPDomainClassification (de)": 81.91,
+ "MTOPDomainClassification (en)": 94.01,
+ "MTOPDomainClassification (es)": 84.7,
+ "MTOPDomainClassification (fr)": 82.48,
+ "MTOPDomainClassification (hi)": 22.11,
+ "MTOPDomainClassification (th)": 16.36,
+ "MTOPIntentClassification (de)": 52.13,
+ "MTOPIntentClassification (en)": 63.86,
+ "MTOPIntentClassification (es)": 52.62,
+ "MTOPIntentClassification (fr)": 46.39,
+ "MTOPIntentClassification (hi)": 3.9,
+ "MTOPIntentClassification (th)": 5.38,
+ "MassiveIntentClassification (af)": 41.02,
+ "MassiveIntentClassification (am)": 2.34,
+ "MassiveIntentClassification (ar)": 4.87,
+ "MassiveIntentClassification (az)": 34.92,
+ "MassiveIntentClassification (bn)": 2.52,
+ "MassiveIntentClassification (cy)": 35.87,
+ "MassiveIntentClassification (da)": 45.3,
+ "MassiveIntentClassification (de)": 51.48,
+ "MassiveIntentClassification (el)": 10.0,
+ "MassiveIntentClassification (en)": 70.06,
+ "MassiveIntentClassification (es)": 53.3,
+ "MassiveIntentClassification (fa)": 3.59,
+ "MassiveIntentClassification (fi)": 37.35,
+ "MassiveIntentClassification (fr)": 54.83,
+ "MassiveIntentClassification (he)": 2.52,
+ "MassiveIntentClassification (hi)": 2.88,
+ "MassiveIntentClassification (hu)": 33.52,
+ "MassiveIntentClassification (hy)": 3.13,
+ "MassiveIntentClassification (id)": 40.11,
+ "MassiveIntentClassification (is)": 34.77,
+ "MassiveIntentClassification (it)": 51.21,
+ "MassiveIntentClassification (ja)": 4.75,
+ "MassiveIntentClassification (jv)": 35.6,
+ "MassiveIntentClassification (ka)": 2.71,
+ "MassiveIntentClassification (km)": 5.48,
+ "MassiveIntentClassification (kn)": 2.44,
+ "MassiveIntentClassification (ko)": 2.59,
+ "MassiveIntentClassification (lv)": 38.15,
+ "MassiveIntentClassification (ml)": 2.67,
+ "MassiveIntentClassification (mn)": 18.47,
+ "MassiveIntentClassification (ms)": 35.58,
+ "MassiveIntentClassification (my)": 4.35,
+ "MassiveIntentClassification (nb)": 43.78,
+ "MassiveIntentClassification (nl)": 45.96,
+ "MassiveIntentClassification (pl)": 39.08,
+ "MassiveIntentClassification (pt)": 52.27,
+ "MassiveIntentClassification (ro)": 46.39,
+ "MassiveIntentClassification (ru)": 16.82,
+ "MassiveIntentClassification (sl)": 37.3,
+ "MassiveIntentClassification (sq)": 41.73,
+ "MassiveIntentClassification (sv)": 43.51,
+ "MassiveIntentClassification (sw)": 35.97,
+ "MassiveIntentClassification (ta)": 1.52,
+ "MassiveIntentClassification (te)": 2.57,
+ "MassiveIntentClassification (th)": 3.94,
+ "MassiveIntentClassification (tl)": 41.03,
+ "MassiveIntentClassification (tr)": 33.75,
+ "MassiveIntentClassification (ur)": 2.57,
+ "MassiveIntentClassification (vi)": 25.23,
+ "MassiveIntentClassification (zh-CN)": 2.41,
+ "MassiveIntentClassification (zh-TW)": 4.64,
+ "MassiveScenarioClassification (af)": 51.48,
+ "MassiveScenarioClassification (am)": 7.74,
+ "MassiveScenarioClassification (ar)": 12.03,
+ "MassiveScenarioClassification (az)": 41.77,
+ "MassiveScenarioClassification (bn)": 8.07,
+ "MassiveScenarioClassification (cy)": 43.67,
+ "MassiveScenarioClassification (da)": 54.88,
+ "MassiveScenarioClassification (de)": 63.63,
+ "MassiveScenarioClassification (el)": 16.83,
+ "MassiveScenarioClassification (en)": 75.49,
+ "MassiveScenarioClassification (es)": 61.48,
+ "MassiveScenarioClassification (fa)": 6.48,
+ "MassiveScenarioClassification (fi)": 43.54,
+ "MassiveScenarioClassification (fr)": 64.06,
+ "MassiveScenarioClassification (he)": 8.03,
+ "MassiveScenarioClassification (hi)": 7.5,
+ "MassiveScenarioClassification (hu)": 42.59,
+ "MassiveScenarioClassification (hy)": 9.22,
+ "MassiveScenarioClassification (id)": 48.67,
+ "MassiveScenarioClassification (is)": 43.87,
+ "MassiveScenarioClassification (it)": 59.83,
+ "MassiveScenarioClassification (ja)": 5.62,
+ "MassiveScenarioClassification (jv)": 42.18,
+ "MassiveScenarioClassification (ka)": 7.52,
+ "MassiveScenarioClassification (km)": 9.55,
+ "MassiveScenarioClassification (kn)": 8.34,
+ "MassiveScenarioClassification (ko)": 6.11,
+ "MassiveScenarioClassification (lv)": 43.35,
+ "MassiveScenarioClassification (ml)": 7.28,
+ "MassiveScenarioClassification (mn)": 23.94,
+ "MassiveScenarioClassification (ms)": 45.18,
+ "MassiveScenarioClassification (my)": 9.33,
+ "MassiveScenarioClassification (nb)": 52.71,
+ "MassiveScenarioClassification (nl)": 57.02,
+ "MassiveScenarioClassification (pl)": 46.79,
+ "MassiveScenarioClassification (pt)": 59.45,
+ "MassiveScenarioClassification (ro)": 56.8,
+ "MassiveScenarioClassification (ru)": 25.85,
+ "MassiveScenarioClassification (sl)": 42.51,
+ "MassiveScenarioClassification (sq)": 50.41,
+ "MassiveScenarioClassification (sv)": 54.16,
+ "MassiveScenarioClassification (sw)": 43.02,
+ "MassiveScenarioClassification (ta)": 7.21,
+ "MassiveScenarioClassification (te)": 6.9,
+ "MassiveScenarioClassification (th)": 8.7,
+ "MassiveScenarioClassification (tl)": 51.76,
+ "MassiveScenarioClassification (tr)": 42.54,
+ "MassiveScenarioClassification (ur)": 9.32,
+ "MassiveScenarioClassification (vi)": 31.51,
+ "MassiveScenarioClassification (zh-CN)": 3.84,
+ "MassiveScenarioClassification (zh-TW)": 8.16,
"ToxicConversationsClassification": 68.65,
"TweetSentimentExtractionClassification": 54.09
}
@@ -18854,8 +19740,35 @@
"STS14": 77.16,
"STS15": 86.31,
"STS16": 81.85,
- "STS17": 47.48,
- "STS22": 29.42,
+ "STS17 (ar-ar)": 10.19,
+ "STS17 (en-ar)": -5.77,
+ "STS17 (en-de)": 67.43,
+ "STS17 (en-en)": 83.93,
+ "STS17 (en-tr)": 8.75,
+ "STS17 (es-en)": 54.96,
+ "STS17 (es-es)": 82.74,
+ "STS17 (fr-en)": 60.5,
+ "STS17 (it-en)": 46.26,
+ "STS17 (ko-ko)": 8.96,
+ "STS17 (nl-en)": 47.48,
+ "STS22 (ar)": 34.97,
+ "STS22 (de)": 51.7,
+ "STS22 (de-en)": 48.76,
+ "STS22 (de-fr)": 57.5,
+ "STS22 (de-pl)": 32.76,
+ "STS22 (en)": 64.3,
+ "STS22 (es)": 57.49,
+ "STS22 (es-en)": 67.76,
+ "STS22 (es-it)": 57.18,
+ "STS22 (fr)": 78.7,
+ "STS22 (fr-pl)": 61.98,
+ "STS22 (it)": 67.67,
+ "STS22 (pl)": 30.68,
+ "STS22 (pl-en)": 54.17,
+ "STS22 (ru)": 15.36,
+ "STS22 (tr)": 58.12,
+ "STS22 (zh)": 27.32,
+ "STS22 (zh-en)": 29.42,
"STSBenchmark": 77.6
}
]
@@ -18880,8 +19793,122 @@
"f1": [
{
"Model": "gtr-t5-xl",
- "BUCC": 1.49,
- "Tatoeba": 29.74
+ "BUCC (de-en)": 90.99,
+ "BUCC (fr-en)": 88.55,
+ "BUCC (ru-en)": 2.07,
+ "BUCC (zh-en)": 1.49,
+ "Tatoeba (afr-eng)": 33.47,
+ "Tatoeba (amh-eng)": 0.01,
+ "Tatoeba (ang-eng)": 30.74,
+ "Tatoeba (ara-eng)": 0.47,
+ "Tatoeba (arq-eng)": 0.34,
+ "Tatoeba (arz-eng)": 0.14,
+ "Tatoeba (ast-eng)": 51.74,
+ "Tatoeba (awa-eng)": 0.49,
+ "Tatoeba (aze-eng)": 7.43,
+ "Tatoeba (bel-eng)": 3.45,
+ "Tatoeba (ben-eng)": 0.06,
+ "Tatoeba (ber-eng)": 5.79,
+ "Tatoeba (bos-eng)": 17.43,
+ "Tatoeba (bre-eng)": 5.69,
+ "Tatoeba (bul-eng)": 7.55,
+ "Tatoeba (cat-eng)": 48.06,
+ "Tatoeba (cbk-eng)": 54.56,
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+ "Tatoeba (xho-eng)": 7.6,
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+ "Tatoeba (yue-eng)": 1.31,
+ "Tatoeba (zsm-eng)": 29.74
}
]
},
@@ -18889,16 +19916,134 @@
"accuracy": [
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"Model": "gtr-t5-xl",
- "AmazonCounterfactualClassification": 50.59,
+ "AmazonCounterfactualClassification (de)": 59.79,
+ "AmazonCounterfactualClassification (en)": 68.6,
+ "AmazonCounterfactualClassification (en-ext)": 69.03,
+ "AmazonCounterfactualClassification (ja)": 50.59,
"AmazonPolarityClassification": 74.58,
- "AmazonReviewsClassification": 21.89,
+ "AmazonReviewsClassification (de)": 35.06,
+ "AmazonReviewsClassification (en)": 38.2,
+ "AmazonReviewsClassification (es)": 37.18,
+ "AmazonReviewsClassification (fr)": 35.48,
+ "AmazonReviewsClassification (ja)": 22.24,
+ "AmazonReviewsClassification (zh)": 21.89,
"Banking77Classification": 82.22,
"EmotionClassification": 45.54,
"ImdbClassification": 68.15,
- "MTOPDomainClassification": 15.87,
- "MTOPIntentClassification": 5.55,
- "MassiveIntentClassification": 3.35,
- "MassiveScenarioClassification": 8.77,
+ "MTOPDomainClassification (de)": 85.42,
+ "MTOPDomainClassification (en)": 93.6,
+ "MTOPDomainClassification (es)": 88.2,
+ "MTOPDomainClassification (fr)": 85.05,
+ "MTOPDomainClassification (hi)": 21.74,
+ "MTOPDomainClassification (th)": 15.87,
+ "MTOPIntentClassification (de)": 55.75,
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+ "MTOPIntentClassification (fr)": 51.07,
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+ "MassiveIntentClassification (da)": 48.42,
+ "MassiveIntentClassification (de)": 55.49,
+ "MassiveIntentClassification (el)": 10.14,
+ "MassiveIntentClassification (en)": 70.23,
+ "MassiveIntentClassification (es)": 56.72,
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+ "MassiveIntentClassification (fi)": 37.13,
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+ "MassiveIntentClassification (ms)": 42.87,
+ "MassiveIntentClassification (my)": 4.04,
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+ "MassiveIntentClassification (pl)": 42.64,
+ "MassiveIntentClassification (pt)": 57.03,
+ "MassiveIntentClassification (ro)": 49.95,
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+ "MassiveIntentClassification (tr)": 35.24,
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+ "MassiveIntentClassification (vi)": 30.01,
+ "MassiveIntentClassification (zh-CN)": 1.72,
+ "MassiveIntentClassification (zh-TW)": 3.35,
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+ "MassiveScenarioClassification (de)": 68.09,
+ "MassiveScenarioClassification (el)": 16.66,
+ "MassiveScenarioClassification (en)": 75.94,
+ "MassiveScenarioClassification (es)": 64.32,
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+ "MassiveScenarioClassification (fr)": 66.72,
+ "MassiveScenarioClassification (he)": 7.51,
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+ "MassiveScenarioClassification (is)": 42.84,
+ "MassiveScenarioClassification (it)": 62.44,
+ "MassiveScenarioClassification (ja)": 7.29,
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+ "MassiveScenarioClassification (ka)": 7.63,
+ "MassiveScenarioClassification (km)": 9.08,
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+ "MassiveScenarioClassification (ko)": 6.35,
+ "MassiveScenarioClassification (lv)": 40.24,
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+ "MassiveScenarioClassification (mn)": 27.98,
+ "MassiveScenarioClassification (ms)": 52.41,
+ "MassiveScenarioClassification (my)": 9.21,
+ "MassiveScenarioClassification (nb)": 54.44,
+ "MassiveScenarioClassification (nl)": 60.35,
+ "MassiveScenarioClassification (pl)": 49.97,
+ "MassiveScenarioClassification (pt)": 62.78,
+ "MassiveScenarioClassification (ro)": 59.62,
+ "MassiveScenarioClassification (ru)": 43.44,
+ "MassiveScenarioClassification (sl)": 44.79,
+ "MassiveScenarioClassification (sq)": 50.84,
+ "MassiveScenarioClassification (sv)": 58.21,
+ "MassiveScenarioClassification (sw)": 44.63,
+ "MassiveScenarioClassification (ta)": 7.95,
+ "MassiveScenarioClassification (te)": 7.5,
+ "MassiveScenarioClassification (th)": 8.79,
+ "MassiveScenarioClassification (tl)": 53.54,
+ "MassiveScenarioClassification (tr)": 42.47,
+ "MassiveScenarioClassification (ur)": 9.58,
+ "MassiveScenarioClassification (vi)": 34.68,
+ "MassiveScenarioClassification (zh-CN)": 5.21,
+ "MassiveScenarioClassification (zh-TW)": 8.77,
"ToxicConversationsClassification": 67.56,
"TweetSentimentExtractionClassification": 54.77
}
@@ -18982,8 +20127,35 @@
"STS14": 77.07,
"STS15": 86.01,
"STS16": 82.23,
- "STS17": 56.91,
- "STS22": 28.85,
+ "STS17 (ar-ar)": 9.06,
+ "STS17 (en-ar)": -3.22,
+ "STS17 (en-de)": 70.38,
+ "STS17 (en-en)": 84.9,
+ "STS17 (en-tr)": 17.17,
+ "STS17 (es-en)": 60.24,
+ "STS17 (es-es)": 81.93,
+ "STS17 (fr-en)": 62.17,
+ "STS17 (it-en)": 59.11,
+ "STS17 (ko-ko)": 8.9,
+ "STS17 (nl-en)": 56.91,
+ "STS22 (ar)": 37.66,
+ "STS22 (de)": 50.58,
+ "STS22 (de-en)": 53.63,
+ "STS22 (de-fr)": 55.72,
+ "STS22 (de-pl)": 27.99,
+ "STS22 (en)": 66.61,
+ "STS22 (es)": 59.14,
+ "STS22 (es-en)": 69.99,
+ "STS22 (es-it)": 60.94,
+ "STS22 (fr)": 79.43,
+ "STS22 (fr-pl)": 61.98,
+ "STS22 (it)": 67.14,
+ "STS22 (pl)": 33.74,
+ "STS22 (pl-en)": 60.18,
+ "STS22 (ru)": 32.69,
+ "STS22 (tr)": 55.79,
+ "STS22 (zh)": 31.16,
+ "STS22 (zh-en)": 28.85,
"STSBenchmark": 77.65
}
]
@@ -19011,16 +20183,16 @@
"accuracy": [
{
"Model": "gtr-t5-xxl",
- "AmazonCounterfactualClassification": 67.3,
+ "AmazonCounterfactualClassification (en)": 67.3,
"AmazonPolarityClassification": 75.05,
- "AmazonReviewsClassification": 37.3,
+ "AmazonReviewsClassification (en)": 37.3,
"Banking77Classification": 82.32,
"EmotionClassification": 43.19,
"ImdbClassification": 70.8,
- "MTOPDomainClassification": 93.84,
- "MTOPIntentClassification": 67.71,
- "MassiveIntentClassification": 70.61,
- "MassiveScenarioClassification": 77.77,
+ "MTOPDomainClassification (en)": 93.84,
+ "MTOPIntentClassification (en)": 67.71,
+ "MassiveIntentClassification (en)": 70.61,
+ "MassiveScenarioClassification (en)": 77.77,
"ToxicConversationsClassification": 68.48,
"TweetSentimentExtractionClassification": 54.54
}
@@ -19104,8 +20276,8 @@
"STS14": 78.24,
"STS15": 86.26,
"STS16": 81.61,
- "STS17": 85.18,
- "STS22": 65.76,
+ "STS17 (en-en)": 85.18,
+ "STS22 (en)": 65.76,
"STSBenchmark": 77.73
}
]
@@ -19133,16 +20305,16 @@
"accuracy": [
{
"Model": "msmarco-bert-co-condensor",
- "AmazonCounterfactualClassification": 64.06,
+ "AmazonCounterfactualClassification (en)": 64.06,
"AmazonPolarityClassification": 66.88,
- "AmazonReviewsClassification": 34.85,
+ "AmazonReviewsClassification (en)": 34.85,
"Banking77Classification": 82.35,
"EmotionClassification": 41.91,
"ImdbClassification": 60.17,
- "MTOPDomainClassification": 91.34,
- "MTOPIntentClassification": 71.07,
- "MassiveIntentClassification": 70.4,
- "MassiveScenarioClassification": 73.73,
+ "MTOPDomainClassification (en)": 91.34,
+ "MTOPIntentClassification (en)": 71.07,
+ "MassiveIntentClassification (en)": 70.4,
+ "MassiveScenarioClassification (en)": 73.73,
"ToxicConversationsClassification": 64.01,
"TweetSentimentExtractionClassification": 55.74
}
@@ -19226,8 +20398,8 @@
"STS14": 74.02,
"STS15": 82.57,
"STS16": 79.78,
- "STS17": 85.94,
- "STS22": 67.54,
+ "STS17 (en-en)": 85.94,
+ "STS22 (en)": 67.54,
"STSBenchmark": 76.97
}
]
@@ -19255,12 +20427,12 @@
"accuracy": [
{
"Model": "multi-qa-MiniLM-L6-cos-v1",
- "AmazonReviewsClassification": 27.05,
- "MTOPDomainClassification": 72.97,
- "MTOPIntentClassification": 37.18,
- "MasakhaNEWSClassification": 75.62,
- "MassiveIntentClassification": 42.64,
- "MassiveScenarioClassification": 49.92
+ "AmazonReviewsClassification (fr)": 27.05,
+ "MTOPDomainClassification (fr)": 72.97,
+ "MTOPIntentClassification (fr)": 37.18,
+ "MasakhaNEWSClassification (fra)": 75.62,
+ "MassiveIntentClassification (fr)": 42.64,
+ "MassiveScenarioClassification (fr)": 49.92
}
]
},
@@ -19273,8 +20445,8 @@
"HALClusteringS2S": 12.49,
"MLSUMClusteringP2P": 35.15,
"MLSUMClusteringS2S": 25.95,
- "MasakhaNEWSClusteringP2P": 53.73,
- "MasakhaNEWSClusteringS2S": 27.27
+ "MasakhaNEWSClusteringP2P (fra)": 53.73,
+ "MasakhaNEWSClusteringS2S (fra)": 27.27
}
]
},
@@ -19282,13 +20454,13 @@
"max_ap": [
{
"Model": "multi-qa-MiniLM-L6-cos-v1",
- "OpusparcusPC": 88.07,
- "PawsXPairClassification": 57.36
+ "OpusparcusPC (fr)": 88.07,
+ "PawsXPairClassification (fr)": 57.36
},
{
"Model": "multi-qa-MiniLM-L6-cos-v1",
- "OpusparcusPC": 88.07,
- "PawsXPairClassification": 57.48
+ "OpusparcusPC (fr)": 88.07,
+ "PawsXPairClassification (fr)": 57.48
}
]
},
@@ -19307,9 +20479,9 @@
"Model": "multi-qa-MiniLM-L6-cos-v1",
"AlloprofRetrieval": 30.23,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 16.31,
+ "MintakaRetrieval (fr)": 16.31,
"SyntecRetrieval": 58.07,
- "XPQARetrieval": 48.83
+ "XPQARetrieval (fr)": 48.83
}
]
},
@@ -19318,8 +20490,8 @@
{
"Model": "multi-qa-MiniLM-L6-cos-v1",
"SICKFr": 62.11,
- "STS22": 74.62,
- "STSBenchmarkMultilingualSTS": 63.85
+ "STS22 (fr)": 74.62,
+ "STSBenchmarkMultilingualSTS (fr)": 63.85
}
]
},
@@ -19343,7 +20515,10 @@
"f1": [
{
"Model": "paraphrase-multilingual-MiniLM-L12-v2",
- "BUCC": 95.63,
+ "BUCC (de-en)": 97.11,
+ "BUCC (fr-en)": 94.99,
+ "BUCC (ru-en)": 95.06,
+ "BUCC (zh-en)": 95.63,
"BornholmBitextMining": 19.67,
"Tatoeba (est-eng)": 97.33,
"Tatoeba (aze-eng)": 62.1,
@@ -19456,8 +20631,7 @@
"Tatoeba (ceb-eng)": 8.05,
"Tatoeba (lat-eng)": 19.47,
"Tatoeba (glg-eng)": 94.0,
- "Tatoeba (gsw-eng)": 25.74,
- "Tatoeba": 95.31
+ "Tatoeba (gsw-eng)": 25.74
}
]
},
@@ -19466,19 +20640,17 @@
{
"Model": "paraphrase-multilingual-MiniLM-L12-v2",
"AllegroReviews": 30.88,
- "AmazonCounterfactualClassification (en-ext)": 70.01,
- "AmazonCounterfactualClassification (en)": 71.55,
- "AmazonCounterfactualClassification (de)": 68.36,
- "AmazonCounterfactualClassification (ja)": 63.37,
- "AmazonCounterfactualClassification": 63.45,
+ "AmazonCounterfactualClassification (en-ext)": 69.99,
+ "AmazonCounterfactualClassification (en)": 71.57,
+ "AmazonCounterfactualClassification (de)": 68.35,
+ "AmazonCounterfactualClassification (ja)": 63.45,
"AmazonPolarityClassification": 69.21,
- "AmazonReviewsClassification (en)": 35.12,
+ "AmazonReviewsClassification (en)": 35.11,
"AmazonReviewsClassification (de)": 35.91,
"AmazonReviewsClassification (es)": 37.49,
- "AmazonReviewsClassification (fr)": 35.29,
- "AmazonReviewsClassification (ja)": 33.21,
- "AmazonReviewsClassification (zh)": 35.24,
- "AmazonReviewsClassification": 35.26,
+ "AmazonReviewsClassification (fr)": 35.3,
+ "AmazonReviewsClassification (ja)": 33.24,
+ "AmazonReviewsClassification (zh)": 35.26,
"AngryTweetsClassification": 50.9,
"Banking77Classification": 79.77,
"CBD": 57.68,
@@ -19492,23 +20664,21 @@
"JDReview": 70.26,
"KinopoiskClassification": 41.45,
"LccSentimentClassification": 54.53,
- "MTOPDomainClassification (en)": 87.03,
- "MTOPDomainClassification (de)": 79.21,
- "MTOPDomainClassification (es)": 83.06,
- "MTOPDomainClassification (fr)": 78.64,
+ "MTOPDomainClassification (en)": 87.06,
+ "MTOPDomainClassification (de)": 79.2,
+ "MTOPDomainClassification (es)": 83.04,
+ "MTOPDomainClassification (fr)": 78.63,
"MTOPDomainClassification (hi)": 81.36,
- "MTOPDomainClassification (th)": 79.97,
- "MTOPDomainClassification": 79.99,
- "MTOPIntentClassification (en)": 65.5,
- "MTOPIntentClassification (de)": 54.21,
- "MTOPIntentClassification (es)": 60.3,
- "MTOPIntentClassification (fr)": 54.01,
- "MTOPIntentClassification (hi)": 59.92,
- "MTOPIntentClassification (th)": 61.97,
- "MTOPIntentClassification": 61.96,
+ "MTOPDomainClassification (th)": 79.99,
+ "MTOPIntentClassification (en)": 65.52,
+ "MTOPIntentClassification (de)": 54.23,
+ "MTOPIntentClassification (es)": 60.28,
+ "MTOPIntentClassification (fr)": 54.05,
+ "MTOPIntentClassification (hi)": 59.9,
+ "MTOPIntentClassification (th)": 61.96,
"MasakhaNEWSClassification (amh)": 64.28,
"MasakhaNEWSClassification (eng)": 74.7,
- "MasakhaNEWSClassification (fra)": 71.68,
+ "MasakhaNEWSClassification (fra)": 76.09,
"MasakhaNEWSClassification (hau)": 47.96,
"MasakhaNEWSClassification (ibo)": 42.46,
"MasakhaNEWSClassification (lin)": 59.26,
@@ -19522,7 +20692,6 @@
"MasakhaNEWSClassification (tir)": 27.94,
"MasakhaNEWSClassification (xho)": 44.81,
"MasakhaNEWSClassification (yor)": 52.92,
- "MasakhaNEWSClassification": 76.09,
"MassiveIntentClassification (de)": 50.71,
"MassiveIntentClassification (he)": 52.55,
"MassiveIntentClassification (th)": 58.92,
@@ -19551,11 +20720,11 @@
"MassiveIntentClassification (mn)": 51.77,
"MassiveIntentClassification (sl)": 57.35,
"MassiveIntentClassification (tr)": 59.91,
- "MassiveIntentClassification (fr)": 60.24,
+ "MassiveIntentClassification (fr)": 57.52,
"MassiveIntentClassification (id)": 59.9,
"MassiveIntentClassification (my)": 52.03,
"MassiveIntentClassification (zh-CN)": 62.0,
- "MassiveIntentClassification (pl)": 59.48,
+ "MassiveIntentClassification (pl)": 59.43,
"MassiveIntentClassification (es)": 59.7,
"MassiveIntentClassification (ja)": 60.9,
"MassiveIntentClassification (ta)": 36.82,
@@ -19574,7 +20743,6 @@
"MassiveIntentClassification (fa)": 61.03,
"MassiveIntentClassification (da)": 57.75,
"MassiveIntentClassification (sv)": 59.43,
- "MassiveIntentClassification": 57.52,
"MassiveScenarioClassification (zh-CN)": 67.45,
"MassiveScenarioClassification (bn)": 41.17,
"MassiveScenarioClassification (sw)": 34.86,
@@ -19624,9 +20792,8 @@
"MassiveScenarioClassification (nb)": 64.25,
"MassiveScenarioClassification (hi)": 65.23,
"MassiveScenarioClassification (te)": 46.49,
- "MassiveScenarioClassification (fr)": 66.09,
+ "MassiveScenarioClassification (fr)": 64.52,
"MassiveScenarioClassification (ml)": 47.73,
- "MassiveScenarioClassification": 64.52,
"MultilingualSentiment": 61.9,
"NoRecClassification": 46.7,
"NordicLangClassification": 42.52,
@@ -19665,7 +20832,7 @@
"MLSUMClusteringS2S": 36.55,
"MasakhaNEWSClusteringP2P (amh)": 40.36,
"MasakhaNEWSClusteringP2P (eng)": 49.96,
- "MasakhaNEWSClusteringP2P (fra)": 40.85,
+ "MasakhaNEWSClusteringP2P (fra)": 36.58,
"MasakhaNEWSClusteringP2P (hau)": 19.39,
"MasakhaNEWSClusteringP2P (ibo)": 33.81,
"MasakhaNEWSClusteringP2P (lin)": 51.98,
@@ -19679,10 +20846,9 @@
"MasakhaNEWSClusteringP2P (tir)": 42.02,
"MasakhaNEWSClusteringP2P (xho)": 27.68,
"MasakhaNEWSClusteringP2P (yor)": 27.29,
- "MasakhaNEWSClusteringP2P": 36.58,
"MasakhaNEWSClusteringS2S (amh)": 42.28,
"MasakhaNEWSClusteringS2S (eng)": 25.74,
- "MasakhaNEWSClusteringS2S (fra)": 36.5,
+ "MasakhaNEWSClusteringS2S (fra)": 33.9,
"MasakhaNEWSClusteringS2S (hau)": 9.2,
"MasakhaNEWSClusteringS2S (ibo)": 33.37,
"MasakhaNEWSClusteringS2S (lin)": 47.76,
@@ -19696,7 +20862,6 @@
"MasakhaNEWSClusteringS2S (tir)": 42.4,
"MasakhaNEWSClusteringS2S (xho)": 21.03,
"MasakhaNEWSClusteringS2S (yor)": 27.04,
- "MasakhaNEWSClusteringS2S": 33.9,
"MedrxivClusteringP2P": 31.52,
"MedrxivClusteringS2S": 30.87,
"RedditClustering": 42.02,
@@ -19745,17 +20910,15 @@
"OpusparcusPC (fr)": 92.01,
"OpusparcusPC (ru)": 88.25,
"OpusparcusPC (sv)": 93.99,
- "OpusparcusPC": 92.01,
"PPC": 92.36,
"PSC": 97.14,
"PawsXPairClassification (de)": 53.34,
"PawsXPairClassification (en)": 55.94,
"PawsXPairClassification (es)": 54.61,
- "PawsXPairClassification (fr)": 57.13,
+ "PawsXPairClassification (fr)": 57.03,
"PawsXPairClassification (ja)": 48.84,
"PawsXPairClassification (ko)": 49.86,
"PawsXPairClassification (zh)": 54.59,
- "PawsXPairClassification": 57.03,
"SICK-E-PL": 71.94,
"SprintDuplicateQuestions": 91.15,
"TERRa": 58.56,
@@ -19765,10 +20928,10 @@
{
"Model": "paraphrase-multilingual-MiniLM-L12-v2",
"CDSC-E": 72.22,
- "OpusparcusPC": 92.01,
+ "OpusparcusPC (fr)": 92.01,
"PPC": 91.8,
"PSC": 97.14,
- "PawsXPairClassification": 56.94,
+ "PawsXPairClassification (fr)": 56.94,
"SICK-E-PL": 71.94,
"SprintDuplicateQuestions": 89.46,
"TwitterSemEval2015": 62.06,
@@ -19858,7 +21021,6 @@
"MintakaRetrieval (it)": 22.23,
"MintakaRetrieval (ja)": 14.33,
"MintakaRetrieval (pt)": 22.52,
- "MintakaRetrieval": 21.53,
"NFCorpus": 23.45,
"NFCorpus-PL": 17.16,
"NQ": 29.8,
@@ -19927,7 +21089,7 @@
"XPQARetrieval (cmn-cmn)": 44.16,
"XPQARetrieval (eng-cmn)": 19.03,
"XPQARetrieval (cmn-eng)": 40.08,
- "XPQARetrieval": 42.51
+ "XPQARetrieval (fr)": 42.51
}
]
},
@@ -20006,10 +21168,21 @@
"STS14": 78.85,
"STS15": 85.84,
"STS16": 81.05,
- "STS17": 81.71,
- "STS22": 70.55,
+ "STS17 (ar-ar)": 79.16,
+ "STS17 (en-ar)": 81.22,
+ "STS17 (en-de)": 84.22,
+ "STS17 (en-en)": 86.87,
+ "STS17 (en-tr)": 76.74,
+ "STS17 (es-en)": 84.44,
+ "STS17 (es-es)": 85.56,
+ "STS17 (fr-en)": 76.59,
+ "STS17 (it-en)": 82.35,
+ "STS17 (ko-ko)": 77.03,
+ "STS17 (nl-en)": 81.71,
+ "STS22 (pl)": 33.73,
+ "STS22 (fr)": 70.55,
"STSBenchmark": 84.42,
- "STSBenchmarkMultilingualSTS": 79.9
+ "STSBenchmarkMultilingualSTS (fr)": 79.9
}
]
},
@@ -20057,121 +21230,123 @@
"f1": [
{
"Model": "paraphrase-multilingual-mpnet-base-v2",
- "BUCC": 97.56,
+ "BUCC (de-en)": 98.59,
+ "BUCC (fr-en)": 96.89,
+ "BUCC (ru-en)": 96.44,
+ "BUCC (zh-en)": 97.56,
"BornholmBitextMining": 18.18,
- "Tatoeba": 95.8,
- "Tatoeba (rus-eng)": 92.92,
- "Tatoeba (slv-eng)": 97.08,
- "Tatoeba (fin-eng)": 95.92,
+ "Tatoeba (afr-eng)": 72.96,
+ "Tatoeba (amh-eng)": 53.49,
+ "Tatoeba (ang-eng)": 16.72,
+ "Tatoeba (ara-eng)": 90.19,
"Tatoeba (arq-eng)": 19.84,
- "Tatoeba (ukr-eng)": 92.67,
- "Tatoeba (csb-eng)": 23.73,
- "Tatoeba (uzb-eng)": 23.19,
- "Tatoeba (tgl-eng)": 17.67,
- "Tatoeba (nno-eng)": 81.41,
- "Tatoeba (xho-eng)": 6.53,
- "Tatoeba (jpn-eng)": 92.51,
- "Tatoeba (kor-eng)": 93.07,
- "Tatoeba (tel-eng)": 79.73,
- "Tatoeba (slk-eng)": 96.62,
- "Tatoeba (gsw-eng)": 25.12,
+ "Tatoeba (arz-eng)": 55.69,
+ "Tatoeba (ast-eng)": 70.08,
+ "Tatoeba (awa-eng)": 42.83,
+ "Tatoeba (aze-eng)": 76.36,
+ "Tatoeba (bel-eng)": 79.94,
+ "Tatoeba (ben-eng)": 64.9,
+ "Tatoeba (ber-eng)": 4.88,
+ "Tatoeba (bos-eng)": 94.02,
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+ "Tatoeba (bul-eng)": 93.52,
+ "Tatoeba (cat-eng)": 96.05,
+ "Tatoeba (cbk-eng)": 58.68,
"Tatoeba (ceb-eng)": 7.39,
- "Tatoeba (pes-eng)": 93.47,
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+ "Tatoeba (cha-eng)": 12.59,
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+ "Tatoeba (csb-eng)": 23.73,
+ "Tatoeba (cym-eng)": 22.31,
+ "Tatoeba (dan-eng)": 96.17,
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- "Tatoeba (arz-eng)": 55.69,
- "Tatoeba (nob-eng)": 98.53,
- "Tatoeba (amh-eng)": 53.49,
+ "Tatoeba (dsb-eng)": 36.85,
"Tatoeba (dtp-eng)": 5.03,
- "Tatoeba (lvs-eng)": 97.53,
- "Tatoeba (tam-eng)": 73.6,
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- "Tatoeba (hin-eng)": 97.75,
- "Tatoeba (kat-eng)": 95.46,
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+ "Tatoeba (est-eng)": 98.4,
+ "Tatoeba (eus-eng)": 31.33,
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- "Tatoeba (ber-eng)": 4.88,
- "Tatoeba (bos-eng)": 94.02,
- "Tatoeba (nld-eng)": 95.5,
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+ "Tatoeba (fry-eng)": 43.54,
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+ "Tatoeba (glg-eng)": 95.32,
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+ "Tatoeba (heb-eng)": 88.26,
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- "Tatoeba (uig-eng)": 48.35,
- "Tatoeba (srp-eng)": 94.12,
- "Tatoeba (nov-eng)": 50.23,
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+ "Tatoeba (ind-eng)": 93.5,
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- "Tatoeba (swe-eng)": 95.45,
+ "Tatoeba (jav-eng)": 23.39,
+ "Tatoeba (jpn-eng)": 92.51,
+ "Tatoeba (kab-eng)": 1.41,
+ "Tatoeba (kat-eng)": 95.46,
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+ "Tatoeba (khm-eng)": 58.8,
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- "Tatoeba (ell-eng)": 94.93,
- "Tatoeba (orv-eng)": 23.77,
- "Tatoeba (nds-eng)": 38.88,
+ "Tatoeba (kzj-eng)": 5.88,
+ "Tatoeba (lat-eng)": 24.25,
+ "Tatoeba (lfn-eng)": 49.56,
+ "Tatoeba (lit-eng)": 95.37,
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+ "Tatoeba (mhr-eng)": 7.57,
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- "Tatoeba (jav-eng)": 23.39,
"Tatoeba (mon-eng)": 96.14,
- "Tatoeba (tzl-eng)": 34.21,
- "Tatoeba (cmn-eng)": 95.83,
- "Tatoeba (pms-eng)": 34.19,
- "Tatoeba (cha-eng)": 12.59,
- "Tatoeba (yue-eng)": 77.58,
- "Tatoeba (lit-eng)": 95.37,
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+ "Tatoeba (nld-eng)": 95.5,
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+ "Tatoeba (nob-eng)": 98.53,
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"Tatoeba (oci-eng)": 43.49,
- "Tatoeba (tha-eng)": 95.99,
- "Tatoeba (khm-eng)": 58.8,
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- "Tatoeba (wuu-eng)": 78.25,
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- "Tatoeba (bre-eng)": 6.42,
- "Tatoeba (awa-eng)": 42.83,
- "Tatoeba (kab-eng)": 1.41,
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"Tatoeba (pam-eng)": 5.39,
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+ "Tatoeba (pms-eng)": 34.19,
+ "Tatoeba (pol-eng)": 96.95,
"Tatoeba (por-eng)": 93.02,
- "Tatoeba (fry-eng)": 43.54,
+ "Tatoeba (ron-eng)": 96.43,
+ "Tatoeba (rus-eng)": 92.92,
+ "Tatoeba (slk-eng)": 96.62,
+ "Tatoeba (slv-eng)": 97.08,
+ "Tatoeba (spa-eng)": 97.0,
+ "Tatoeba (sqi-eng)": 98.57,
+ "Tatoeba (srp-eng)": 94.12,
+ "Tatoeba (swe-eng)": 95.45,
+ "Tatoeba (swg-eng)": 22.8,
"Tatoeba (swh-eng)": 16.02,
+ "Tatoeba (tam-eng)": 73.6,
+ "Tatoeba (tat-eng)": 10.89,
+ "Tatoeba (tel-eng)": 79.73,
+ "Tatoeba (tgl-eng)": 17.67,
+ "Tatoeba (tha-eng)": 95.99,
+ "Tatoeba (tuk-eng)": 14.91,
+ "Tatoeba (tur-eng)": 96.17,
+ "Tatoeba (tzl-eng)": 34.21,
+ "Tatoeba (uig-eng)": 48.35,
+ "Tatoeba (ukr-eng)": 92.67,
+ "Tatoeba (urd-eng)": 95.12,
+ "Tatoeba (uzb-eng)": 23.19,
+ "Tatoeba (vie-eng)": 97.23,
+ "Tatoeba (war-eng)": 7.42,
+ "Tatoeba (wuu-eng)": 78.25,
+ "Tatoeba (xho-eng)": 6.53,
"Tatoeba (yid-eng)": 30.73,
- "Tatoeba (sqi-eng)": 98.57,
- "Tatoeba (hun-eng)": 94.18,
- "Tatoeba (heb-eng)": 88.26,
- "Tatoeba (ara-eng)": 90.19,
- "Tatoeba (cym-eng)": 22.31,
- "Tatoeba (spa-eng)": 97.0,
- "Tatoeba (bel-eng)": 79.94,
- "Tatoeba (kaz-eng)": 61.49,
- "Tatoeba (ind-eng)": 93.5,
- "Tatoeba (hsb-eng)": 44.32,
- "Tatoeba (ang-eng)": 16.72,
- "Tatoeba (aze-eng)": 76.36,
- "Tatoeba (pol-eng)": 96.95,
- "Tatoeba (mhr-eng)": 7.57,
- "Tatoeba (ast-eng)": 70.08,
- "Tatoeba (cat-eng)": 96.05,
- "Tatoeba (zsm-eng)": 95.8,
- "Tatoeba (ces-eng)": 95.73,
- "Tatoeba (eus-eng)": 31.33
+ "Tatoeba (yue-eng)": 77.58,
+ "Tatoeba (zsm-eng)": 95.8
}
]
},
@@ -20180,15 +21355,13 @@
{
"Model": "paraphrase-multilingual-mpnet-base-v2",
"AllegroReviews": 33.89,
- "AmazonCounterfactualClassification": 69.79,
- "AmazonCounterfactualClassification (en-ext)": 76.25,
- "AmazonCounterfactualClassification (en)": 75.81,
"AmazonCounterfactualClassification (de)": 69.96,
+ "AmazonCounterfactualClassification (en)": 75.81,
+ "AmazonCounterfactualClassification (en-ext)": 76.25,
"AmazonCounterfactualClassification (ja)": 69.78,
"AmazonPolarityClassification": 76.41,
- "AmazonReviewsClassification": 37.74,
- "AmazonReviewsClassification (en)": 38.52,
"AmazonReviewsClassification (de)": 39.53,
+ "AmazonReviewsClassification (en)": 38.52,
"AmazonReviewsClassification (es)": 39.97,
"AmazonReviewsClassification (fr)": 38.98,
"AmazonReviewsClassification (ja)": 36.65,
@@ -20206,24 +21379,21 @@
"JDReview": 70.34,
"KinopoiskClassification": 44.31,
"LccSentimentClassification": 58.4,
- "MTOPDomainClassification": 82.51,
- "MTOPDomainClassification (en)": 89.24,
"MTOPDomainClassification (de)": 85.73,
+ "MTOPDomainClassification (en)": 89.24,
"MTOPDomainClassification (es)": 86.98,
"MTOPDomainClassification (fr)": 81.21,
"MTOPDomainClassification (hi)": 84.76,
"MTOPDomainClassification (th)": 82.51,
- "MTOPIntentClassification": 64.8,
- "MTOPIntentClassification (en)": 68.69,
"MTOPIntentClassification (de)": 61.26,
+ "MTOPIntentClassification (en)": 68.69,
"MTOPIntentClassification (es)": 66.6,
"MTOPIntentClassification (fr)": 59.75,
"MTOPIntentClassification (hi)": 62.38,
"MTOPIntentClassification (th)": 64.77,
- "MasakhaNEWSClassification": 78.1,
+ "MasakhaNEWSClassification (fra)": 72.94,
"MasakhaNEWSClassification (amh)": 78.83,
"MasakhaNEWSClassification (eng)": 75.39,
- "MasakhaNEWSClassification (fra)": 72.94,
"MasakhaNEWSClassification (hau)": 54.49,
"MasakhaNEWSClassification (ibo)": 46.79,
"MasakhaNEWSClassification (lin)": 69.77,
@@ -20237,7 +21407,8 @@
"MasakhaNEWSClassification (tir)": 45.04,
"MasakhaNEWSClassification (xho)": 48.82,
"MasakhaNEWSClassification (yor)": 58.3,
- "MassiveIntentClassification": 61.88,
+ "MassiveIntentClassification (pl)": 64.32,
+ "MassiveIntentClassification (fr)": 64.8,
"MassiveIntentClassification (km)": 45.48,
"MassiveIntentClassification (sv)": 64.71,
"MassiveIntentClassification (mn)": 56.61,
@@ -20245,7 +21416,6 @@
"MassiveIntentClassification (zh-TW)": 62.33,
"MassiveIntentClassification (pt)": 64.88,
"MassiveIntentClassification (nl)": 63.57,
- "MassiveIntentClassification (fr)": 64.8,
"MassiveIntentClassification (is)": 37.09,
"MassiveIntentClassification (hu)": 63.85,
"MassiveIntentClassification (az)": 56.98,
@@ -20283,13 +21453,13 @@
"MassiveIntentClassification (it)": 64.69,
"MassiveIntentClassification (ml)": 54.34,
"MassiveIntentClassification (ms)": 60.72,
- "MassiveIntentClassification (pl)": 64.32,
"MassiveIntentClassification (nb)": 62.62,
"MassiveIntentClassification (ru)": 63.23,
"MassiveIntentClassification (am)": 41.56,
"MassiveIntentClassification (tl)": 38.83,
"MassiveIntentClassification (el)": 62.63,
- "MassiveScenarioClassification": 67.9,
+ "MassiveScenarioClassification (pl)": 68.99,
+ "MassiveScenarioClassification (fr)": 70.71,
"MassiveScenarioClassification (jv)": 44.22,
"MassiveScenarioClassification (kn)": 56.08,
"MassiveScenarioClassification (ar)": 57.79,
@@ -20299,7 +21469,6 @@
"MassiveScenarioClassification (pt)": 70.08,
"MassiveScenarioClassification (ru)": 69.92,
"MassiveScenarioClassification (zh-TW)": 68.71,
- "MassiveScenarioClassification (fr)": 70.71,
"MassiveScenarioClassification (ms)": 65.85,
"MassiveScenarioClassification (az)": 61.52,
"MassiveScenarioClassification (ka)": 57.3,
@@ -20330,7 +21499,6 @@
"MassiveScenarioClassification (te)": 58.79,
"MassiveScenarioClassification (en)": 75.35,
"MassiveScenarioClassification (sv)": 71.6,
- "MassiveScenarioClassification (pl)": 68.99,
"MassiveScenarioClassification (ro)": 67.94,
"MassiveScenarioClassification (hy)": 63.03,
"MassiveScenarioClassification (am)": 48.96,
@@ -20377,10 +21545,9 @@
"MLSUMClusteringP2P (ru)": 35.95,
"MLSUMClusteringS2S": 37.53,
"MLSUMClusteringS2S (ru)": 38.88,
- "MasakhaNEWSClusteringP2P": 41.57,
+ "MasakhaNEWSClusteringP2P (fra)": 53.3,
"MasakhaNEWSClusteringP2P (amh)": 46.85,
"MasakhaNEWSClusteringP2P (eng)": 47.3,
- "MasakhaNEWSClusteringP2P (fra)": 53.3,
"MasakhaNEWSClusteringP2P (hau)": 27.61,
"MasakhaNEWSClusteringP2P (ibo)": 41.32,
"MasakhaNEWSClusteringP2P (lin)": 58.37,
@@ -20394,10 +21561,9 @@
"MasakhaNEWSClusteringP2P (tir)": 48.33,
"MasakhaNEWSClusteringP2P (xho)": 29.47,
"MasakhaNEWSClusteringP2P (yor)": 28.25,
- "MasakhaNEWSClusteringS2S": 30.88,
+ "MasakhaNEWSClusteringS2S (fra)": 37.92,
"MasakhaNEWSClusteringS2S (amh)": 51.54,
"MasakhaNEWSClusteringS2S (eng)": 43.28,
- "MasakhaNEWSClusteringS2S (fra)": 37.92,
"MasakhaNEWSClusteringS2S (hau)": 17.97,
"MasakhaNEWSClusteringS2S (ibo)": 34.56,
"MasakhaNEWSClusteringS2S (lin)": 57.43,
@@ -20430,10 +21596,10 @@
{
"Model": "paraphrase-multilingual-mpnet-base-v2",
"CDSC-E": 75.76,
- "OpusparcusPC": 93.45,
+ "OpusparcusPC (fr)": 93.45,
"PPC": 93.67,
"PSC": 98.26,
- "PawsXPairClassification": 58.14,
+ "PawsXPairClassification (fr)": 58.14,
"SICK-E-PL": 77.22,
"SprintDuplicateQuestions": 90.55,
"TwitterSemEval2015": 66.75,
@@ -20442,20 +21608,18 @@
{
"Model": "paraphrase-multilingual-mpnet-base-v2",
"CDSC-E": 75.77,
- "OpusparcusPC": 93.45,
+ "OpusparcusPC (fr)": 93.45,
"OpusparcusPC (de)": 97.34,
"OpusparcusPC (en)": 98.59,
"OpusparcusPC (fi)": 95.33,
- "OpusparcusPC (fr)": 93.45,
"OpusparcusPC (ru)": 90.47,
"OpusparcusPC (sv)": 95.16,
"PPC": 93.67,
"PSC": 98.26,
- "PawsXPairClassification": 58.17,
+ "PawsXPairClassification (fr)": 58.33,
"PawsXPairClassification (de)": 55.71,
"PawsXPairClassification (en)": 60.12,
"PawsXPairClassification (es)": 56.94,
- "PawsXPairClassification (fr)": 58.33,
"PawsXPairClassification (ja)": 49.37,
"PawsXPairClassification (ko)": 50.78,
"PawsXPairClassification (zh)": 55.47,
@@ -20564,11 +21728,10 @@
"MSMARCO": 26.6,
"MSMARCO-PL": 12.45,
"MedicalRetrieval": 14.1,
- "MintakaRetrieval": 24.45,
+ "MintakaRetrieval (fr)": 24.45,
"MintakaRetrieval (ar)": 14.55,
"MintakaRetrieval (de)": 25.43,
"MintakaRetrieval (es)": 24.94,
- "MintakaRetrieval (fr)": 24.45,
"MintakaRetrieval (hi)": 18.67,
"MintakaRetrieval (it)": 25.62,
"MintakaRetrieval (ja)": 15.46,
@@ -20605,7 +21768,7 @@
"Touche2020": 17.4,
"VideoRetrieval": 14.18,
"WinoGrande": 49.01,
- "XPQARetrieval": 46.22,
+ "XPQARetrieval (fr)": 46.22,
"XPQARetrieval (ara-ara)": 24.86,
"XPQARetrieval (eng-ara)": 19.6,
"XPQARetrieval (ara-eng)": 28.21,
@@ -20720,10 +21883,21 @@
"STS14": 80.81,
"STS15": 87.48,
"STS16": 83.2,
- "STS17": 82.51,
- "STS22": 74.3,
+ "STS17 (ar-ar)": 79.1,
+ "STS17 (en-ar)": 80.85,
+ "STS17 (en-de)": 83.28,
+ "STS17 (en-en)": 86.99,
+ "STS17 (en-tr)": 74.9,
+ "STS17 (es-en)": 86.11,
+ "STS17 (es-es)": 85.14,
+ "STS17 (fr-en)": 81.17,
+ "STS17 (it-en)": 84.24,
+ "STS17 (ko-ko)": 83.41,
+ "STS17 (nl-en)": 82.51,
+ "STS22 (pl)": 33.64,
+ "STS22 (fr)": 74.3,
"STSBenchmark": 86.82,
- "STSBenchmarkMultilingualSTS": 84.69
+ "STSBenchmarkMultilingualSTS (fr)": 84.69
}
]
},
@@ -20774,17 +21948,135 @@
"accuracy": [
{
"Model": "sentence-t5-base",
- "AmazonCounterfactualClassification": 46.05,
+ "AmazonCounterfactualClassification (de)": 69.98,
+ "AmazonCounterfactualClassification (en)": 75.82,
+ "AmazonCounterfactualClassification (en-ext)": 76.81,
+ "AmazonCounterfactualClassification (ja)": 46.05,
"AmazonPolarityClassification": 85.12,
- "AmazonReviewsClassification": 21.53,
+ "AmazonReviewsClassification (de)": 37.9,
+ "AmazonReviewsClassification (en)": 44.94,
+ "AmazonReviewsClassification (es)": 37.33,
+ "AmazonReviewsClassification (fr)": 37.35,
+ "AmazonReviewsClassification (ja)": 22.29,
+ "AmazonReviewsClassification (zh)": 21.53,
"Banking77Classification": 76.48,
"EmotionClassification": 51.35,
"ImdbClassification": 77.34,
- "MTOPDomainClassification": 16.21,
- "MTOPIntentClassification": 5.21,
- "MasakhaNEWSClassification": 81.21,
- "MassiveIntentClassification": 4.63,
- "MassiveScenarioClassification": 7.91,
+ "MTOPDomainClassification (de)": 76.98,
+ "MTOPDomainClassification (en)": 90.34,
+ "MTOPDomainClassification (es)": 73.61,
+ "MTOPDomainClassification (fr)": 75.03,
+ "MTOPDomainClassification (hi)": 21.4,
+ "MTOPDomainClassification (th)": 16.21,
+ "MTOPIntentClassification (de)": 44.43,
+ "MTOPIntentClassification (en)": 63.32,
+ "MTOPIntentClassification (es)": 42.03,
+ "MTOPIntentClassification (fr)": 43.85,
+ "MTOPIntentClassification (hi)": 3.8,
+ "MTOPIntentClassification (th)": 5.21,
+ "MasakhaNEWSClassification (fra)": 81.21,
+ "MassiveIntentClassification (af)": 34.32,
+ "MassiveIntentClassification (am)": 2.38,
+ "MassiveIntentClassification (ar)": 4.53,
+ "MassiveIntentClassification (az)": 31.76,
+ "MassiveIntentClassification (bn)": 2.58,
+ "MassiveIntentClassification (cy)": 28.94,
+ "MassiveIntentClassification (da)": 38.82,
+ "MassiveIntentClassification (de)": 45.23,
+ "MassiveIntentClassification (el)": 10.05,
+ "MassiveIntentClassification (en)": 69.74,
+ "MassiveIntentClassification (es)": 45.32,
+ "MassiveIntentClassification (fa)": 3.58,
+ "MassiveIntentClassification (fi)": 33.52,
+ "MassiveIntentClassification (fr)": 51.13,
+ "MassiveIntentClassification (he)": 2.63,
+ "MassiveIntentClassification (hi)": 2.68,
+ "MassiveIntentClassification (hu)": 32.31,
+ "MassiveIntentClassification (hy)": 3.33,
+ "MassiveIntentClassification (id)": 35.5,
+ "MassiveIntentClassification (is)": 29.82,
+ "MassiveIntentClassification (it)": 45.59,
+ "MassiveIntentClassification (ja)": 3.67,
+ "MassiveIntentClassification (jv)": 31.15,
+ "MassiveIntentClassification (ka)": 2.77,
+ "MassiveIntentClassification (km)": 5.66,
+ "MassiveIntentClassification (kn)": 2.59,
+ "MassiveIntentClassification (ko)": 2.34,
+ "MassiveIntentClassification (lv)": 33.97,
+ "MassiveIntentClassification (ml)": 2.55,
+ "MassiveIntentClassification (mn)": 14.7,
+ "MassiveIntentClassification (ms)": 33.12,
+ "MassiveIntentClassification (my)": 4.42,
+ "MassiveIntentClassification (nb)": 38.53,
+ "MassiveIntentClassification (nl)": 37.96,
+ "MassiveIntentClassification (pl)": 34.41,
+ "MassiveIntentClassification (pt)": 43.35,
+ "MassiveIntentClassification (ro)": 42.69,
+ "MassiveIntentClassification (ru)": 14.82,
+ "MassiveIntentClassification (sl)": 34.54,
+ "MassiveIntentClassification (sq)": 38.54,
+ "MassiveIntentClassification (sv)": 35.98,
+ "MassiveIntentClassification (sw)": 32.14,
+ "MassiveIntentClassification (ta)": 1.41,
+ "MassiveIntentClassification (te)": 2.5,
+ "MassiveIntentClassification (th)": 3.71,
+ "MassiveIntentClassification (tl)": 36.04,
+ "MassiveIntentClassification (tr)": 33.77,
+ "MassiveIntentClassification (ur)": 2.99,
+ "MassiveIntentClassification (vi)": 22.62,
+ "MassiveIntentClassification (zh-CN)": 1.12,
+ "MassiveIntentClassification (zh-TW)": 4.63,
+ "MassiveScenarioClassification (af)": 44.45,
+ "MassiveScenarioClassification (am)": 7.51,
+ "MassiveScenarioClassification (ar)": 12.32,
+ "MassiveScenarioClassification (az)": 38.41,
+ "MassiveScenarioClassification (bn)": 8.45,
+ "MassiveScenarioClassification (cy)": 35.04,
+ "MassiveScenarioClassification (da)": 48.36,
+ "MassiveScenarioClassification (de)": 59.12,
+ "MassiveScenarioClassification (el)": 17.68,
+ "MassiveScenarioClassification (en)": 72.32,
+ "MassiveScenarioClassification (es)": 55.61,
+ "MassiveScenarioClassification (fa)": 6.86,
+ "MassiveScenarioClassification (fi)": 41.34,
+ "MassiveScenarioClassification (fr)": 59.92,
+ "MassiveScenarioClassification (he)": 7.86,
+ "MassiveScenarioClassification (hi)": 7.63,
+ "MassiveScenarioClassification (hu)": 41.31,
+ "MassiveScenarioClassification (hy)": 9.23,
+ "MassiveScenarioClassification (id)": 44.64,
+ "MassiveScenarioClassification (is)": 39.63,
+ "MassiveScenarioClassification (it)": 54.58,
+ "MassiveScenarioClassification (ja)": 4.96,
+ "MassiveScenarioClassification (jv)": 40.73,
+ "MassiveScenarioClassification (ka)": 7.51,
+ "MassiveScenarioClassification (km)": 8.73,
+ "MassiveScenarioClassification (kn)": 7.99,
+ "MassiveScenarioClassification (ko)": 6.03,
+ "MassiveScenarioClassification (lv)": 36.42,
+ "MassiveScenarioClassification (ml)": 6.96,
+ "MassiveScenarioClassification (mn)": 19.85,
+ "MassiveScenarioClassification (ms)": 43.18,
+ "MassiveScenarioClassification (my)": 9.46,
+ "MassiveScenarioClassification (nb)": 46.6,
+ "MassiveScenarioClassification (nl)": 50.0,
+ "MassiveScenarioClassification (pl)": 42.3,
+ "MassiveScenarioClassification (pt)": 52.24,
+ "MassiveScenarioClassification (ro)": 53.7,
+ "MassiveScenarioClassification (ru)": 20.69,
+ "MassiveScenarioClassification (sl)": 39.79,
+ "MassiveScenarioClassification (sq)": 50.16,
+ "MassiveScenarioClassification (sv)": 46.69,
+ "MassiveScenarioClassification (sw)": 40.48,
+ "MassiveScenarioClassification (ta)": 7.47,
+ "MassiveScenarioClassification (te)": 6.87,
+ "MassiveScenarioClassification (th)": 8.26,
+ "MassiveScenarioClassification (tl)": 48.94,
+ "MassiveScenarioClassification (tr)": 41.83,
+ "MassiveScenarioClassification (ur)": 9.77,
+ "MassiveScenarioClassification (vi)": 30.01,
+ "MassiveScenarioClassification (zh-CN)": 4.17,
+ "MassiveScenarioClassification (zh-TW)": 7.91,
"ToxicConversationsClassification": 68.2,
"TweetSentimentExtractionClassification": 62.71
}
@@ -20805,8 +22097,8 @@
"HALClusteringS2S": 17.72,
"MLSUMClusteringP2P": 40.77,
"MLSUMClusteringS2S": 30.06,
- "MasakhaNEWSClusteringP2P": 61.9,
- "MasakhaNEWSClusteringS2S": 35.64,
+ "MasakhaNEWSClusteringP2P (fra)": 61.9,
+ "MasakhaNEWSClusteringS2S (fra)": 35.64,
"MedrxivClusteringP2P": 33.2,
"MedrxivClusteringS2S": 26.13,
"RedditClustering": 52.93,
@@ -20823,16 +22115,16 @@
"max_ap": [
{
"Model": "sentence-t5-base",
- "OpusparcusPC": 89.4,
- "PawsXPairClassification": 55.35,
+ "OpusparcusPC (fr)": 89.4,
+ "PawsXPairClassification (fr)": 55.35,
"SprintDuplicateQuestions": 91.23,
"TwitterSemEval2015": 78.25,
"TwitterURLCorpus": 86.05
},
{
"Model": "sentence-t5-base",
- "OpusparcusPC": 89.41,
- "PawsXPairClassification": 55.43,
+ "OpusparcusPC (fr)": 89.41,
+ "PawsXPairClassification (fr)": 55.43,
"SprintDuplicateQuestions": 91.23,
"TwitterSemEval2015": 78.25,
"TwitterURLCorpus": 86.05
@@ -20866,7 +22158,7 @@
"FiQA2018": 34.83,
"HotpotQA": 33.2,
"MSMARCO": 20.7,
- "MintakaRetrieval": 21.04,
+ "MintakaRetrieval (fr)": 21.04,
"NFCorpus": 28.65,
"NQ": 36.32,
"QuoraRetrieval": 85.49,
@@ -20875,7 +22167,7 @@
"SyntecRetrieval": 67.0,
"TRECCOVID": 40.7,
"Touche2020": 20.3,
- "XPQARetrieval": 45.19
+ "XPQARetrieval (fr)": 45.19
}
]
},
@@ -20891,10 +22183,37 @@
"STS14": 82.19,
"STS15": 87.46,
"STS16": 84.03,
- "STS17": 36.46,
- "STS22": 20.15,
+ "STS17 (ar-ar)": 13.36,
+ "STS17 (en-ar)": -5.65,
+ "STS17 (en-de)": 67.11,
+ "STS17 (en-en)": 89.57,
+ "STS17 (en-tr)": -0.02,
+ "STS17 (es-en)": 47.72,
+ "STS17 (es-es)": 79.94,
+ "STS17 (fr-en)": 56.61,
+ "STS17 (it-en)": 30.46,
+ "STS17 (ko-ko)": 10.06,
+ "STS17 (nl-en)": 36.46,
+ "STS22 (ar)": 31.2,
+ "STS22 (de)": 42.08,
+ "STS22 (de-en)": 46.9,
+ "STS22 (de-fr)": 55.04,
+ "STS22 (de-pl)": 33.94,
+ "STS22 (en)": 62.66,
+ "STS22 (es)": 53.81,
+ "STS22 (es-en)": 65.19,
+ "STS22 (es-it)": 55.29,
+ "STS22 (fr)": 77.69,
+ "STS22 (fr-pl)": 28.17,
+ "STS22 (it)": 60.65,
+ "STS22 (pl)": 24.42,
+ "STS22 (pl-en)": 42.97,
+ "STS22 (ru)": 12.13,
+ "STS22 (tr)": 40.45,
+ "STS22 (zh)": 32.9,
+ "STS22 (zh-en)": 20.15,
"STSBenchmark": 85.52,
- "STSBenchmarkMultilingualSTS": 74.04
+ "STSBenchmarkMultilingualSTS (fr)": 74.04
}
]
},
@@ -20919,8 +22238,122 @@
"f1": [
{
"Model": "sentence-t5-large",
- "BUCC": 0.95,
- "Tatoeba": 14.67
+ "BUCC (de-en)": 87.0,
+ "BUCC (fr-en)": 88.91,
+ "BUCC (ru-en)": 0.44,
+ "BUCC (zh-en)": 0.95,
+ "Tatoeba (afr-eng)": 23.7,
+ "Tatoeba (amh-eng)": 0.65,
+ "Tatoeba (ang-eng)": 30.98,
+ "Tatoeba (ara-eng)": 0.48,
+ "Tatoeba (arq-eng)": 0.68,
+ "Tatoeba (arz-eng)": 0.22,
+ "Tatoeba (ast-eng)": 55.3,
+ "Tatoeba (awa-eng)": 1.03,
+ "Tatoeba (aze-eng)": 5.83,
+ "Tatoeba (bel-eng)": 1.66,
+ "Tatoeba (ben-eng)": 0.0,
+ "Tatoeba (ber-eng)": 5.62,
+ "Tatoeba (bos-eng)": 12.23,
+ "Tatoeba (bre-eng)": 5.84,
+ "Tatoeba (bul-eng)": 1.35,
+ "Tatoeba (cat-eng)": 48.56,
+ "Tatoeba (cbk-eng)": 46.97,
+ "Tatoeba (ceb-eng)": 9.79,
+ "Tatoeba (ces-eng)": 6.0,
+ "Tatoeba (cha-eng)": 24.21,
+ "Tatoeba (cmn-eng)": 2.26,
+ "Tatoeba (cor-eng)": 4.03,
+ "Tatoeba (csb-eng)": 9.53,
+ "Tatoeba (cym-eng)": 9.17,
+ "Tatoeba (dan-eng)": 34.63,
+ "Tatoeba (deu-eng)": 89.31,
+ "Tatoeba (dsb-eng)": 9.68,
+ "Tatoeba (dtp-eng)": 4.66,
+ "Tatoeba (ell-eng)": 0.77,
+ "Tatoeba (epo-eng)": 26.88,
+ "Tatoeba (est-eng)": 5.19,
+ "Tatoeba (eus-eng)": 9.46,
+ "Tatoeba (fao-eng)": 21.59,
+ "Tatoeba (fin-eng)": 5.66,
+ "Tatoeba (fra-eng)": 79.71,
+ "Tatoeba (fry-eng)": 28.29,
+ "Tatoeba (gla-eng)": 2.34,
+ "Tatoeba (gle-eng)": 3.55,
+ "Tatoeba (glg-eng)": 56.25,
+ "Tatoeba (gsw-eng)": 24.25,
+ "Tatoeba (heb-eng)": 0.57,
+ "Tatoeba (hin-eng)": 0.12,
+ "Tatoeba (hrv-eng)": 10.29,
+ "Tatoeba (hsb-eng)": 9.52,
+ "Tatoeba (hun-eng)": 6.22,
+ "Tatoeba (hye-eng)": 0.81,
+ "Tatoeba (ido-eng)": 41.11,
+ "Tatoeba (ile-eng)": 54.0,
+ "Tatoeba (ina-eng)": 75.47,
+ "Tatoeba (ind-eng)": 13.02,
+ "Tatoeba (isl-eng)": 8.98,
+ "Tatoeba (ita-eng)": 67.23,
+ "Tatoeba (jav-eng)": 8.54,
+ "Tatoeba (jpn-eng)": 0.99,
+ "Tatoeba (kab-eng)": 1.85,
+ "Tatoeba (kat-eng)": 1.37,
+ "Tatoeba (kaz-eng)": 0.67,
+ "Tatoeba (khm-eng)": 0.56,
+ "Tatoeba (kor-eng)": 1.73,
+ "Tatoeba (kur-eng)": 9.23,
+ "Tatoeba (kzj-eng)": 5.38,
+ "Tatoeba (lat-eng)": 21.3,
+ "Tatoeba (lfn-eng)": 40.48,
+ "Tatoeba (lit-eng)": 5.38,
+ "Tatoeba (lvs-eng)": 6.83,
+ "Tatoeba (mal-eng)": 0.45,
+ "Tatoeba (mar-eng)": 0.01,
+ "Tatoeba (max-eng)": 16.44,
+ "Tatoeba (mhr-eng)": 0.33,
+ "Tatoeba (mkd-eng)": 0.4,
+ "Tatoeba (mon-eng)": 2.48,
+ "Tatoeba (nds-eng)": 34.66,
+ "Tatoeba (nld-eng)": 42.72,
+ "Tatoeba (nno-eng)": 24.08,
+ "Tatoeba (nob-eng)": 34.17,
+ "Tatoeba (nov-eng)": 55.01,
+ "Tatoeba (oci-eng)": 29.15,
+ "Tatoeba (orv-eng)": 0.2,
+ "Tatoeba (pam-eng)": 6.99,
+ "Tatoeba (pes-eng)": 0.9,
+ "Tatoeba (pms-eng)": 30.8,
+ "Tatoeba (pol-eng)": 12.81,
+ "Tatoeba (por-eng)": 73.45,
+ "Tatoeba (ron-eng)": 54.86,
+ "Tatoeba (rus-eng)": 2.43,
+ "Tatoeba (slk-eng)": 8.35,
+ "Tatoeba (slv-eng)": 9.3,
+ "Tatoeba (spa-eng)": 78.87,
+ "Tatoeba (sqi-eng)": 11.74,
+ "Tatoeba (srp-eng)": 5.83,
+ "Tatoeba (swe-eng)": 35.41,
+ "Tatoeba (swg-eng)": 28.18,
+ "Tatoeba (swh-eng)": 7.53,
+ "Tatoeba (tam-eng)": 0.36,
+ "Tatoeba (tat-eng)": 1.01,
+ "Tatoeba (tel-eng)": 1.1,
+ "Tatoeba (tgl-eng)": 12.4,
+ "Tatoeba (tha-eng)": 1.58,
+ "Tatoeba (tuk-eng)": 4.95,
+ "Tatoeba (tur-eng)": 6.45,
+ "Tatoeba (tzl-eng)": 37.82,
+ "Tatoeba (uig-eng)": 0.67,
+ "Tatoeba (ukr-eng)": 1.88,
+ "Tatoeba (urd-eng)": 0.0,
+ "Tatoeba (uzb-eng)": 4.79,
+ "Tatoeba (vie-eng)": 7.03,
+ "Tatoeba (war-eng)": 9.68,
+ "Tatoeba (wuu-eng)": 1.28,
+ "Tatoeba (xho-eng)": 10.64,
+ "Tatoeba (yid-eng)": 0.57,
+ "Tatoeba (yue-eng)": 0.88,
+ "Tatoeba (zsm-eng)": 14.67
}
]
},
@@ -20928,17 +22361,135 @@
"accuracy": [
{
"Model": "sentence-t5-large",
- "AmazonCounterfactualClassification": 45.72,
+ "AmazonCounterfactualClassification (de)": 67.97,
+ "AmazonCounterfactualClassification (en)": 75.51,
+ "AmazonCounterfactualClassification (en-ext)": 75.44,
+ "AmazonCounterfactualClassification (ja)": 45.72,
"AmazonPolarityClassification": 92.87,
- "AmazonReviewsClassification": 22.12,
+ "AmazonReviewsClassification (de)": 43.16,
+ "AmazonReviewsClassification (en)": 47.12,
+ "AmazonReviewsClassification (es)": 42.89,
+ "AmazonReviewsClassification (fr)": 41.48,
+ "AmazonReviewsClassification (ja)": 22.49,
+ "AmazonReviewsClassification (zh)": 22.12,
"Banking77Classification": 78.46,
"EmotionClassification": 51.74,
"ImdbClassification": 87.01,
- "MTOPDomainClassification": 15.82,
- "MTOPIntentClassification": 4.96,
- "MasakhaNEWSClassification": 80.43,
- "MassiveIntentClassification": 3.49,
- "MassiveScenarioClassification": 7.24,
+ "MTOPDomainClassification (de)": 80.56,
+ "MTOPDomainClassification (en)": 90.99,
+ "MTOPDomainClassification (es)": 80.78,
+ "MTOPDomainClassification (fr)": 79.6,
+ "MTOPDomainClassification (hi)": 21.22,
+ "MTOPDomainClassification (th)": 15.82,
+ "MTOPIntentClassification (de)": 52.5,
+ "MTOPIntentClassification (en)": 64.98,
+ "MTOPIntentClassification (es)": 52.07,
+ "MTOPIntentClassification (fr)": 47.73,
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+ "MasakhaNEWSClassification (fra)": 80.43,
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+ "MassiveIntentClassification (da)": 41.76,
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+ "MassiveIntentClassification (en)": 71.78,
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+ "MassiveIntentClassification (fr)": 57.01,
+ "MassiveIntentClassification (he)": 2.14,
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+ "MassiveIntentClassification (vi)": 22.81,
+ "MassiveIntentClassification (zh-CN)": 1.09,
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+ "MassiveScenarioClassification (it)": 60.09,
+ "MassiveScenarioClassification (ja)": 6.56,
+ "MassiveScenarioClassification (jv)": 40.18,
+ "MassiveScenarioClassification (ka)": 7.37,
+ "MassiveScenarioClassification (km)": 9.56,
+ "MassiveScenarioClassification (kn)": 8.4,
+ "MassiveScenarioClassification (ko)": 5.96,
+ "MassiveScenarioClassification (lv)": 41.44,
+ "MassiveScenarioClassification (ml)": 7.47,
+ "MassiveScenarioClassification (mn)": 25.36,
+ "MassiveScenarioClassification (ms)": 39.69,
+ "MassiveScenarioClassification (my)": 9.68,
+ "MassiveScenarioClassification (nb)": 49.92,
+ "MassiveScenarioClassification (nl)": 56.09,
+ "MassiveScenarioClassification (pl)": 45.2,
+ "MassiveScenarioClassification (pt)": 57.99,
+ "MassiveScenarioClassification (ro)": 56.0,
+ "MassiveScenarioClassification (ru)": 27.47,
+ "MassiveScenarioClassification (sl)": 41.04,
+ "MassiveScenarioClassification (sq)": 49.38,
+ "MassiveScenarioClassification (sv)": 50.97,
+ "MassiveScenarioClassification (sw)": 40.62,
+ "MassiveScenarioClassification (ta)": 7.59,
+ "MassiveScenarioClassification (te)": 7.07,
+ "MassiveScenarioClassification (th)": 8.52,
+ "MassiveScenarioClassification (tl)": 49.89,
+ "MassiveScenarioClassification (tr)": 43.08,
+ "MassiveScenarioClassification (ur)": 9.31,
+ "MassiveScenarioClassification (vi)": 27.46,
+ "MassiveScenarioClassification (zh-CN)": 4.7,
+ "MassiveScenarioClassification (zh-TW)": 7.24,
"ToxicConversationsClassification": 71.73,
"TweetSentimentExtractionClassification": 62.33
}
@@ -20959,8 +22510,8 @@
"HALClusteringS2S": 18.73,
"MLSUMClusteringP2P": 42.07,
"MLSUMClusteringS2S": 31.87,
- "MasakhaNEWSClusteringP2P": 58.6,
- "MasakhaNEWSClusteringS2S": 31.33,
+ "MasakhaNEWSClusteringP2P (fra)": 58.6,
+ "MasakhaNEWSClusteringS2S (fra)": 31.33,
"MedrxivClusteringP2P": 32.4,
"MedrxivClusteringS2S": 26.33,
"RedditClustering": 54.53,
@@ -20977,16 +22528,16 @@
"max_ap": [
{
"Model": "sentence-t5-large",
- "OpusparcusPC": 91.19,
- "PawsXPairClassification": 59.59,
+ "OpusparcusPC (fr)": 91.19,
+ "PawsXPairClassification (fr)": 59.59,
"SprintDuplicateQuestions": 89.01,
"TwitterSemEval2015": 79.75,
"TwitterURLCorpus": 86.14
},
{
"Model": "sentence-t5-large",
- "OpusparcusPC": 91.19,
- "PawsXPairClassification": 59.69,
+ "OpusparcusPC (fr)": 91.19,
+ "PawsXPairClassification (fr)": 59.69,
"SprintDuplicateQuestions": 89.02,
"TwitterSemEval2015": 79.75,
"TwitterURLCorpus": 86.14
@@ -21020,7 +22571,7 @@
"FiQA2018": 43.55,
"HotpotQA": 33.95,
"MSMARCO": 23.96,
- "MintakaRetrieval": 23.92,
+ "MintakaRetrieval (fr)": 23.92,
"NFCorpus": 31.1,
"NQ": 42.02,
"QuoraRetrieval": 85.73,
@@ -21029,7 +22580,7 @@
"SyntecRetrieval": 71.05,
"TRECCOVID": 46.11,
"Touche2020": 21.63,
- "XPQARetrieval": 48.79
+ "XPQARetrieval (fr)": 48.79
}
]
},
@@ -21045,10 +22596,37 @@
"STS14": 83.17,
"STS15": 88.28,
"STS16": 84.36,
- "STS17": 45.95,
- "STS22": 23.1,
+ "STS17 (ar-ar)": 10.75,
+ "STS17 (en-ar)": -4.71,
+ "STS17 (en-de)": 73.62,
+ "STS17 (en-en)": 88.99,
+ "STS17 (en-tr)": -0.42,
+ "STS17 (es-en)": 62.62,
+ "STS17 (es-es)": 82.74,
+ "STS17 (fr-en)": 67.86,
+ "STS17 (it-en)": 51.86,
+ "STS17 (ko-ko)": 9.44,
+ "STS17 (nl-en)": 45.95,
+ "STS22 (ar)": 27.01,
+ "STS22 (de)": 43.73,
+ "STS22 (de-en)": 49.93,
+ "STS22 (de-fr)": 61.58,
+ "STS22 (de-pl)": 38.83,
+ "STS22 (en)": 62.39,
+ "STS22 (es)": 57.68,
+ "STS22 (es-en)": 68.09,
+ "STS22 (es-it)": 61.58,
+ "STS22 (fr)": 75.01,
+ "STS22 (fr-pl)": 5.63,
+ "STS22 (it)": 62.01,
+ "STS22 (pl)": 25.0,
+ "STS22 (pl-en)": 51.72,
+ "STS22 (ru)": 14.21,
+ "STS22 (tr)": 47.3,
+ "STS22 (zh)": 30.47,
+ "STS22 (zh-en)": 23.1,
"STSBenchmark": 85.36,
- "STSBenchmarkMultilingualSTS": 77.59
+ "STSBenchmarkMultilingualSTS (fr)": 77.59
}
]
},
@@ -21073,8 +22651,122 @@
"f1": [
{
"Model": "sentence-t5-xl",
- "BUCC": 1.3,
- "Tatoeba": 35.71
+ "BUCC (de-en)": 95.04,
+ "BUCC (fr-en)": 94.96,
+ "BUCC (ru-en)": 8.33,
+ "BUCC (zh-en)": 1.3,
+ "Tatoeba (afr-eng)": 41.84,
+ "Tatoeba (amh-eng)": 0.03,
+ "Tatoeba (ang-eng)": 37.87,
+ "Tatoeba (ara-eng)": 0.61,
+ "Tatoeba (arq-eng)": 0.74,
+ "Tatoeba (arz-eng)": 0.42,
+ "Tatoeba (ast-eng)": 65.41,
+ "Tatoeba (awa-eng)": 1.46,
+ "Tatoeba (aze-eng)": 8.79,
+ "Tatoeba (bel-eng)": 5.76,
+ "Tatoeba (ben-eng)": 0.01,
+ "Tatoeba (ber-eng)": 5.92,
+ "Tatoeba (bos-eng)": 16.12,
+ "Tatoeba (bre-eng)": 6.12,
+ "Tatoeba (bul-eng)": 9.06,
+ "Tatoeba (cat-eng)": 57.4,
+ "Tatoeba (cbk-eng)": 57.68,
+ "Tatoeba (ceb-eng)": 12.56,
+ "Tatoeba (ces-eng)": 9.47,
+ "Tatoeba (cha-eng)": 27.13,
+ "Tatoeba (cmn-eng)": 1.82,
+ "Tatoeba (cor-eng)": 3.87,
+ "Tatoeba (csb-eng)": 14.41,
+ "Tatoeba (cym-eng)": 6.69,
+ "Tatoeba (dan-eng)": 54.87,
+ "Tatoeba (deu-eng)": 93.72,
+ "Tatoeba (dsb-eng)": 14.74,
+ "Tatoeba (dtp-eng)": 5.84,
+ "Tatoeba (ell-eng)": 0.6,
+ "Tatoeba (epo-eng)": 30.8,
+ "Tatoeba (est-eng)": 5.39,
+ "Tatoeba (eus-eng)": 11.9,
+ "Tatoeba (fao-eng)": 28.08,
+ "Tatoeba (fin-eng)": 6.81,
+ "Tatoeba (fra-eng)": 85.29,
+ "Tatoeba (fry-eng)": 38.68,
+ "Tatoeba (gla-eng)": 2.96,
+ "Tatoeba (gle-eng)": 3.74,
+ "Tatoeba (glg-eng)": 70.0,
+ "Tatoeba (gsw-eng)": 30.49,
+ "Tatoeba (heb-eng)": 0.87,
+ "Tatoeba (hin-eng)": 0.1,
+ "Tatoeba (hrv-eng)": 17.43,
+ "Tatoeba (hsb-eng)": 14.69,
+ "Tatoeba (hun-eng)": 7.28,
+ "Tatoeba (hye-eng)": 0.77,
+ "Tatoeba (ido-eng)": 46.65,
+ "Tatoeba (ile-eng)": 59.43,
+ "Tatoeba (ina-eng)": 82.71,
+ "Tatoeba (ind-eng)": 37.26,
+ "Tatoeba (isl-eng)": 11.21,
+ "Tatoeba (ita-eng)": 79.77,
+ "Tatoeba (jav-eng)": 7.81,
+ "Tatoeba (jpn-eng)": 0.91,
+ "Tatoeba (kab-eng)": 2.23,
+ "Tatoeba (kat-eng)": 1.48,
+ "Tatoeba (kaz-eng)": 1.77,
+ "Tatoeba (khm-eng)": 0.38,
+ "Tatoeba (kor-eng)": 1.96,
+ "Tatoeba (kur-eng)": 12.11,
+ "Tatoeba (kzj-eng)": 6.13,
+ "Tatoeba (lat-eng)": 27.84,
+ "Tatoeba (lfn-eng)": 45.89,
+ "Tatoeba (lit-eng)": 5.94,
+ "Tatoeba (lvs-eng)": 8.11,
+ "Tatoeba (mal-eng)": 0.59,
+ "Tatoeba (mar-eng)": 0.03,
+ "Tatoeba (max-eng)": 21.7,
+ "Tatoeba (mhr-eng)": 0.68,
+ "Tatoeba (mkd-eng)": 5.92,
+ "Tatoeba (mon-eng)": 2.39,
+ "Tatoeba (nds-eng)": 45.04,
+ "Tatoeba (nld-eng)": 64.75,
+ "Tatoeba (nno-eng)": 36.74,
+ "Tatoeba (nob-eng)": 54.77,
+ "Tatoeba (nov-eng)": 57.12,
+ "Tatoeba (oci-eng)": 34.39,
+ "Tatoeba (orv-eng)": 2.04,
+ "Tatoeba (pam-eng)": 8.34,
+ "Tatoeba (pes-eng)": 0.87,
+ "Tatoeba (pms-eng)": 38.06,
+ "Tatoeba (pol-eng)": 28.35,
+ "Tatoeba (por-eng)": 83.61,
+ "Tatoeba (ron-eng)": 65.27,
+ "Tatoeba (rus-eng)": 30.42,
+ "Tatoeba (slk-eng)": 13.19,
+ "Tatoeba (slv-eng)": 13.49,
+ "Tatoeba (spa-eng)": 89.18,
+ "Tatoeba (sqi-eng)": 14.66,
+ "Tatoeba (srp-eng)": 13.24,
+ "Tatoeba (swe-eng)": 60.67,
+ "Tatoeba (swg-eng)": 34.76,
+ "Tatoeba (swh-eng)": 8.07,
+ "Tatoeba (tam-eng)": 0.36,
+ "Tatoeba (tat-eng)": 1.46,
+ "Tatoeba (tel-eng)": 0.67,
+ "Tatoeba (tgl-eng)": 25.22,
+ "Tatoeba (tha-eng)": 1.58,
+ "Tatoeba (tuk-eng)": 4.99,
+ "Tatoeba (tur-eng)": 7.72,
+ "Tatoeba (tzl-eng)": 38.49,
+ "Tatoeba (uig-eng)": 0.87,
+ "Tatoeba (ukr-eng)": 9.12,
+ "Tatoeba (urd-eng)": 0.0,
+ "Tatoeba (uzb-eng)": 5.48,
+ "Tatoeba (vie-eng)": 8.45,
+ "Tatoeba (war-eng)": 13.75,
+ "Tatoeba (wuu-eng)": 1.44,
+ "Tatoeba (xho-eng)": 9.15,
+ "Tatoeba (yid-eng)": 0.28,
+ "Tatoeba (yue-eng)": 0.98,
+ "Tatoeba (zsm-eng)": 35.71
}
]
},
@@ -21082,17 +22774,135 @@
"accuracy": [
{
"Model": "sentence-t5-xl",
- "AmazonCounterfactualClassification": 45.61,
+ "AmazonCounterfactualClassification (de)": 67.01,
+ "AmazonCounterfactualClassification (en)": 76.01,
+ "AmazonCounterfactualClassification (en-ext)": 77.29,
+ "AmazonCounterfactualClassification (ja)": 45.61,
"AmazonPolarityClassification": 93.17,
- "AmazonReviewsClassification": 21.88,
+ "AmazonReviewsClassification (de)": 44.05,
+ "AmazonReviewsClassification (en)": 48.18,
+ "AmazonReviewsClassification (es)": 45.01,
+ "AmazonReviewsClassification (fr)": 43.52,
+ "AmazonReviewsClassification (ja)": 22.23,
+ "AmazonReviewsClassification (zh)": 21.88,
"Banking77Classification": 80.88,
"EmotionClassification": 51.95,
"ImdbClassification": 87.54,
- "MTOPDomainClassification": 15.62,
- "MTOPIntentClassification": 5.08,
- "MasakhaNEWSClassification": 80.09,
- "MassiveIntentClassification": 3.24,
- "MassiveScenarioClassification": 7.14,
+ "MTOPDomainClassification (de)": 83.28,
+ "MTOPDomainClassification (en)": 90.73,
+ "MTOPDomainClassification (es)": 85.32,
+ "MTOPDomainClassification (fr)": 85.14,
+ "MTOPDomainClassification (hi)": 20.85,
+ "MTOPDomainClassification (th)": 15.62,
+ "MTOPIntentClassification (de)": 54.65,
+ "MTOPIntentClassification (en)": 68.15,
+ "MTOPIntentClassification (es)": 57.38,
+ "MTOPIntentClassification (fr)": 54.39,
+ "MTOPIntentClassification (hi)": 3.28,
+ "MTOPIntentClassification (th)": 5.08,
+ "MasakhaNEWSClassification (fra)": 80.09,
+ "MassiveIntentClassification (af)": 40.17,
+ "MassiveIntentClassification (am)": 2.18,
+ "MassiveIntentClassification (ar)": 4.18,
+ "MassiveIntentClassification (az)": 30.02,
+ "MassiveIntentClassification (bn)": 2.6,
+ "MassiveIntentClassification (cy)": 29.15,
+ "MassiveIntentClassification (da)": 47.69,
+ "MassiveIntentClassification (de)": 57.43,
+ "MassiveIntentClassification (el)": 9.96,
+ "MassiveIntentClassification (en)": 72.09,
+ "MassiveIntentClassification (es)": 57.97,
+ "MassiveIntentClassification (fa)": 3.6,
+ "MassiveIntentClassification (fi)": 34.02,
+ "MassiveIntentClassification (fr)": 60.99,
+ "MassiveIntentClassification (he)": 2.51,
+ "MassiveIntentClassification (hi)": 3.02,
+ "MassiveIntentClassification (hu)": 31.66,
+ "MassiveIntentClassification (hy)": 3.32,
+ "MassiveIntentClassification (id)": 41.53,
+ "MassiveIntentClassification (is)": 30.25,
+ "MassiveIntentClassification (it)": 56.57,
+ "MassiveIntentClassification (ja)": 3.5,
+ "MassiveIntentClassification (jv)": 31.67,
+ "MassiveIntentClassification (ka)": 2.79,
+ "MassiveIntentClassification (km)": 5.43,
+ "MassiveIntentClassification (kn)": 2.79,
+ "MassiveIntentClassification (ko)": 2.67,
+ "MassiveIntentClassification (lv)": 34.25,
+ "MassiveIntentClassification (ml)": 2.98,
+ "MassiveIntentClassification (mn)": 20.99,
+ "MassiveIntentClassification (ms)": 37.43,
+ "MassiveIntentClassification (my)": 4.02,
+ "MassiveIntentClassification (nb)": 45.91,
+ "MassiveIntentClassification (nl)": 50.51,
+ "MassiveIntentClassification (pl)": 43.95,
+ "MassiveIntentClassification (pt)": 57.95,
+ "MassiveIntentClassification (ro)": 49.37,
+ "MassiveIntentClassification (ru)": 33.46,
+ "MassiveIntentClassification (sl)": 36.33,
+ "MassiveIntentClassification (sq)": 37.65,
+ "MassiveIntentClassification (sv)": 46.35,
+ "MassiveIntentClassification (sw)": 30.6,
+ "MassiveIntentClassification (ta)": 1.79,
+ "MassiveIntentClassification (te)": 2.26,
+ "MassiveIntentClassification (th)": 4.02,
+ "MassiveIntentClassification (tl)": 38.92,
+ "MassiveIntentClassification (tr)": 32.05,
+ "MassiveIntentClassification (ur)": 2.7,
+ "MassiveIntentClassification (vi)": 21.47,
+ "MassiveIntentClassification (zh-CN)": 0.59,
+ "MassiveIntentClassification (zh-TW)": 3.24,
+ "MassiveScenarioClassification (af)": 50.81,
+ "MassiveScenarioClassification (am)": 6.95,
+ "MassiveScenarioClassification (ar)": 12.32,
+ "MassiveScenarioClassification (az)": 38.79,
+ "MassiveScenarioClassification (bn)": 8.0,
+ "MassiveScenarioClassification (cy)": 33.91,
+ "MassiveScenarioClassification (da)": 55.79,
+ "MassiveScenarioClassification (de)": 65.33,
+ "MassiveScenarioClassification (el)": 16.89,
+ "MassiveScenarioClassification (en)": 73.26,
+ "MassiveScenarioClassification (es)": 62.52,
+ "MassiveScenarioClassification (fa)": 6.08,
+ "MassiveScenarioClassification (fi)": 43.34,
+ "MassiveScenarioClassification (fr)": 66.42,
+ "MassiveScenarioClassification (he)": 7.55,
+ "MassiveScenarioClassification (hi)": 7.44,
+ "MassiveScenarioClassification (hu)": 40.85,
+ "MassiveScenarioClassification (hy)": 9.25,
+ "MassiveScenarioClassification (id)": 51.92,
+ "MassiveScenarioClassification (is)": 40.09,
+ "MassiveScenarioClassification (it)": 62.94,
+ "MassiveScenarioClassification (ja)": 7.9,
+ "MassiveScenarioClassification (jv)": 41.33,
+ "MassiveScenarioClassification (ka)": 7.76,
+ "MassiveScenarioClassification (km)": 9.19,
+ "MassiveScenarioClassification (kn)": 8.36,
+ "MassiveScenarioClassification (ko)": 6.13,
+ "MassiveScenarioClassification (lv)": 40.7,
+ "MassiveScenarioClassification (ml)": 6.98,
+ "MassiveScenarioClassification (mn)": 27.0,
+ "MassiveScenarioClassification (ms)": 46.9,
+ "MassiveScenarioClassification (my)": 9.55,
+ "MassiveScenarioClassification (nb)": 53.43,
+ "MassiveScenarioClassification (nl)": 59.65,
+ "MassiveScenarioClassification (pl)": 49.87,
+ "MassiveScenarioClassification (pt)": 62.18,
+ "MassiveScenarioClassification (ro)": 58.22,
+ "MassiveScenarioClassification (ru)": 40.73,
+ "MassiveScenarioClassification (sl)": 43.66,
+ "MassiveScenarioClassification (sq)": 49.25,
+ "MassiveScenarioClassification (sv)": 57.17,
+ "MassiveScenarioClassification (sw)": 40.55,
+ "MassiveScenarioClassification (ta)": 7.46,
+ "MassiveScenarioClassification (te)": 7.03,
+ "MassiveScenarioClassification (th)": 8.52,
+ "MassiveScenarioClassification (tl)": 51.74,
+ "MassiveScenarioClassification (tr)": 43.01,
+ "MassiveScenarioClassification (ur)": 9.61,
+ "MassiveScenarioClassification (vi)": 28.91,
+ "MassiveScenarioClassification (zh-CN)": 5.86,
+ "MassiveScenarioClassification (zh-TW)": 7.14,
"ToxicConversationsClassification": 70.95,
"TweetSentimentExtractionClassification": 61.21
}
@@ -21111,8 +22921,8 @@
"HALClusteringS2S": 20.28,
"MLSUMClusteringP2P": 41.61,
"MLSUMClusteringS2S": 33.6,
- "MasakhaNEWSClusteringP2P": 62.82,
- "MasakhaNEWSClusteringS2S": 31.74,
+ "MasakhaNEWSClusteringP2P (fra)": 62.82,
+ "MasakhaNEWSClusteringS2S (fra)": 31.74,
"MedrxivClusteringP2P": 32.3,
"MedrxivClusteringS2S": 26.93,
"RedditClustering": 57.03,
@@ -21127,16 +22937,16 @@
"max_ap": [
{
"Model": "sentence-t5-xl",
- "OpusparcusPC": 92.48,
- "PawsXPairClassification": 62.52,
+ "OpusparcusPC (fr)": 92.48,
+ "PawsXPairClassification (fr)": 62.52,
"SprintDuplicateQuestions": 91.44,
"TwitterSemEval2015": 80.89,
"TwitterURLCorpus": 85.86
},
{
"Model": "sentence-t5-xl",
- "OpusparcusPC": 92.48,
- "PawsXPairClassification": 62.59,
+ "OpusparcusPC (fr)": 92.48,
+ "PawsXPairClassification (fr)": 62.59,
"SprintDuplicateQuestions": 91.44,
"TwitterSemEval2015": 80.89,
"TwitterURLCorpus": 85.86
@@ -21170,7 +22980,7 @@
"FiQA2018": 44.71,
"HotpotQA": 37.17,
"MSMARCO": 25.17,
- "MintakaRetrieval": 31.54,
+ "MintakaRetrieval (fr)": 31.54,
"NFCorpus": 33.18,
"NQ": 46.29,
"QuoraRetrieval": 85.85,
@@ -21179,7 +22989,7 @@
"SyntecRetrieval": 74.24,
"TRECCOVID": 54.77,
"Touche2020": 22.51,
- "XPQARetrieval": 52.14
+ "XPQARetrieval (fr)": 52.14
}
]
},
@@ -21195,10 +23005,37 @@
"STS14": 84.33,
"STS15": 88.89,
"STS16": 85.31,
- "STS17": 66.12,
- "STS22": 29.0,
+ "STS17 (ar-ar)": 11.13,
+ "STS17 (en-ar)": -3.93,
+ "STS17 (en-de)": 79.04,
+ "STS17 (en-en)": 88.91,
+ "STS17 (en-tr)": 13.61,
+ "STS17 (es-en)": 71.72,
+ "STS17 (es-es)": 83.42,
+ "STS17 (fr-en)": 71.38,
+ "STS17 (it-en)": 69.5,
+ "STS17 (ko-ko)": 9.61,
+ "STS17 (nl-en)": 66.12,
+ "STS22 (ar)": 29.6,
+ "STS22 (de)": 47.72,
+ "STS22 (de-en)": 49.64,
+ "STS22 (de-fr)": 62.21,
+ "STS22 (de-pl)": 34.34,
+ "STS22 (en)": 64.32,
+ "STS22 (es)": 58.16,
+ "STS22 (es-en)": 69.15,
+ "STS22 (es-it)": 65.26,
+ "STS22 (fr)": 77.49,
+ "STS22 (fr-pl)": 50.71,
+ "STS22 (it)": 66.91,
+ "STS22 (pl)": 27.04,
+ "STS22 (pl-en)": 58.85,
+ "STS22 (ru)": 26.63,
+ "STS22 (tr)": 43.36,
+ "STS22 (zh)": 33.55,
+ "STS22 (zh-en)": 29.0,
"STSBenchmark": 83.93,
- "STSBenchmarkMultilingualSTS": 79.42
+ "STSBenchmarkMultilingualSTS (fr)": 79.42
}
]
},
@@ -21226,17 +23063,22 @@
"accuracy": [
{
"Model": "sentence-t5-xxl",
- "AmazonCounterfactualClassification": 77.07,
+ "AmazonCounterfactualClassification (en)": 77.07,
"AmazonPolarityClassification": 92.79,
- "AmazonReviewsClassification": 46.09,
+ "AmazonReviewsClassification (en)": 48.93,
+ "AmazonReviewsClassification (fr)": 46.09,
"Banking77Classification": 82.31,
"EmotionClassification": 48.57,
"ImdbClassification": 90.23,
- "MTOPDomainClassification": 86.2,
- "MTOPIntentClassification": 58.33,
- "MasakhaNEWSClassification": 79.1,
- "MassiveIntentClassification": 65.91,
- "MassiveScenarioClassification": 68.53,
+ "MTOPDomainClassification (en)": 92.49,
+ "MTOPDomainClassification (fr)": 86.2,
+ "MTOPIntentClassification (en)": 68.33,
+ "MTOPIntentClassification (fr)": 58.33,
+ "MasakhaNEWSClassification (fra)": 79.1,
+ "MassiveIntentClassification (en)": 73.44,
+ "MassiveIntentClassification (fr)": 65.91,
+ "MassiveScenarioClassification (en)": 74.82,
+ "MassiveScenarioClassification (fr)": 68.53,
"ToxicConversationsClassification": 70.04,
"TweetSentimentExtractionClassification": 62.01
}
@@ -21257,8 +23099,8 @@
"HALClusteringS2S": 21.4,
"MLSUMClusteringP2P": 42.24,
"MLSUMClusteringS2S": 35.25,
- "MasakhaNEWSClusteringP2P": 61.15,
- "MasakhaNEWSClusteringS2S": 38.24,
+ "MasakhaNEWSClusteringP2P (fra)": 61.15,
+ "MasakhaNEWSClusteringS2S (fra)": 38.24,
"MedrxivClusteringP2P": 32.09,
"MedrxivClusteringS2S": 26.82,
"RedditClustering": 58.99,
@@ -21275,16 +23117,16 @@
"max_ap": [
{
"Model": "sentence-t5-xxl",
- "OpusparcusPC": 93.94,
- "PawsXPairClassification": 63.98,
+ "OpusparcusPC (fr)": 93.94,
+ "PawsXPairClassification (fr)": 63.98,
"SprintDuplicateQuestions": 88.89,
"TwitterSemEval2015": 80.28,
"TwitterURLCorpus": 86.01
},
{
"Model": "sentence-t5-xxl",
- "OpusparcusPC": 93.94,
- "PawsXPairClassification": 64.01,
+ "OpusparcusPC (fr)": 93.94,
+ "PawsXPairClassification (fr)": 64.01,
"SprintDuplicateQuestions": 88.91,
"TwitterSemEval2015": 80.28,
"TwitterURLCorpus": 86.01
@@ -21318,7 +23160,7 @@
"FiQA2018": 46.68,
"HotpotQA": 42.14,
"MSMARCO": 27.67,
- "MintakaRetrieval": 34.93,
+ "MintakaRetrieval (fr)": 34.93,
"NFCorpus": 35.08,
"NQ": 52.87,
"QuoraRetrieval": 85.96,
@@ -21327,7 +23169,7 @@
"SyntecRetrieval": 78.97,
"TRECCOVID": 59.48,
"Touche2020": 21.65,
- "XPQARetrieval": 56.2
+ "XPQARetrieval (fr)": 56.2
}
]
},
@@ -21343,10 +23185,11 @@
"STS14": 84.86,
"STS15": 89.32,
"STS16": 84.67,
- "STS17": 89.46,
- "STS22": 76.8,
+ "STS17 (en-en)": 89.46,
+ "STS22 (en)": 65.33,
+ "STS22 (fr)": 76.8,
"STSBenchmark": 84.01,
- "STSBenchmarkMultilingualSTS": 81.24
+ "STSBenchmarkMultilingualSTS (fr)": 81.24
}
]
},
@@ -21755,11 +23598,11 @@
"accuracy": [
{
"Model": "text2vec-base-chinese",
- "AmazonReviewsClassification": 34.12,
+ "AmazonReviewsClassification (zh)": 34.12,
"IFlyTek": 42.05,
"JDReview": 82.14,
- "MassiveIntentClassification": 63.98,
- "MassiveScenarioClassification": 70.52,
+ "MassiveIntentClassification (zh-CN)": 63.98,
+ "MassiveScenarioClassification (zh-CN)": 70.52,
"MultilingualSentiment": 60.98,
"OnlineShopping": 85.69,
"TNews": 43.01,
@@ -21828,7 +23671,7 @@
"LCQMC": 70.16,
"PAWSX": 17.21,
"QBQTC": 24.62,
- "STS22": 55.35,
+ "STS22 (zh)": 55.35,
"STSB": 79.3
}
]
@@ -21851,12 +23694,12 @@
"accuracy": [
{
"Model": "text2vec-base-multilingual",
- "AmazonReviewsClassification": 34.25,
- "MTOPDomainClassification": 71.83,
- "MTOPIntentClassification": 44.53,
- "MasakhaNEWSClassification": 73.84,
- "MassiveIntentClassification": 51.93,
- "MassiveScenarioClassification": 58.31
+ "AmazonReviewsClassification (fr)": 34.25,
+ "MTOPDomainClassification (fr)": 71.83,
+ "MTOPIntentClassification (fr)": 44.53,
+ "MasakhaNEWSClassification (fra)": 73.84,
+ "MassiveIntentClassification (fr)": 51.93,
+ "MassiveScenarioClassification (fr)": 58.31
}
]
},
@@ -21869,8 +23712,8 @@
"HALClusteringS2S": 16.19,
"MLSUMClusteringP2P": 36.19,
"MLSUMClusteringS2S": 30.39,
- "MasakhaNEWSClusteringP2P": 38.51,
- "MasakhaNEWSClusteringS2S": 32.51
+ "MasakhaNEWSClusteringP2P (fra)": 38.51,
+ "MasakhaNEWSClusteringS2S (fra)": 32.51
}
]
},
@@ -21878,13 +23721,13 @@
"max_ap": [
{
"Model": "text2vec-base-multilingual",
- "OpusparcusPC": 92.04,
- "PawsXPairClassification": 65.57
+ "OpusparcusPC (fr)": 92.04,
+ "PawsXPairClassification (fr)": 65.57
},
{
"Model": "text2vec-base-multilingual",
- "OpusparcusPC": 92.04,
- "PawsXPairClassification": 65.6
+ "OpusparcusPC (fr)": 92.04,
+ "PawsXPairClassification (fr)": 65.6
}
]
},
@@ -21903,9 +23746,9 @@
"Model": "text2vec-base-multilingual",
"AlloprofRetrieval": 18.9,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 14.81,
+ "MintakaRetrieval (fr)": 14.81,
"SyntecRetrieval": 49.69,
- "XPQARetrieval": 40.4
+ "XPQARetrieval (fr)": 40.4
}
]
},
@@ -21914,8 +23757,8 @@
{
"Model": "text2vec-base-multilingual",
"SICKFr": 77.25,
- "STS22": 74.1,
- "STSBenchmarkMultilingualSTS": 83.48
+ "STS22 (fr)": 74.1,
+ "STSBenchmarkMultilingualSTS (fr)": 83.48
}
]
},
@@ -21942,11 +23785,11 @@
"accuracy": [
{
"Model": "text2vec-large-chinese",
- "AmazonReviewsClassification": 33.77,
+ "AmazonReviewsClassification (zh)": 33.77,
"IFlyTek": 41.54,
"JDReview": 81.56,
- "MassiveIntentClassification": 63.23,
- "MassiveScenarioClassification": 68.45,
+ "MassiveIntentClassification (zh-CN)": 63.23,
+ "MassiveScenarioClassification (zh-CN)": 68.45,
"MultilingualSentiment": 58.97,
"OnlineShopping": 83.51,
"TNews": 38.92,
@@ -22015,7 +23858,7 @@
"LCQMC": 69.16,
"PAWSX": 14.55,
"QBQTC": 29.51,
- "STS22": 65.94,
+ "STS22 (zh)": 65.94,
"STSB": 79.45
}
]
@@ -22038,11 +23881,11 @@
"accuracy": [
{
"Model": "luotuo-bert-medium",
- "AmazonReviewsClassification": 34.46,
+ "AmazonReviewsClassification (zh)": 34.46,
"IFlyTek": 41.75,
"JDReview": 79.68,
- "MassiveIntentClassification": 57.47,
- "MassiveScenarioClassification": 65.32,
+ "MassiveIntentClassification (zh-CN)": 57.47,
+ "MassiveScenarioClassification (zh-CN)": 65.32,
"MultilingualSentiment": 61.21,
"OnlineShopping": 84.3,
"TNews": 45.22,
@@ -22111,7 +23954,7 @@
"LCQMC": 66.74,
"PAWSX": 12.31,
"QBQTC": 27.2,
- "STS22": 66.4,
+ "STS22 (zh)": 66.4,
"STSB": 73.22
}
]
@@ -22183,8 +24026,12 @@
"DKHateClassification": 59.3,
"DanishPoliticalCommentsClassification": 39.81,
"LccSentimentClassification": 58.0,
- "MassiveIntentClassification": 40.82,
- "MassiveScenarioClassification": 40.14,
+ "MassiveIntentClassification (da)": 54.68,
+ "MassiveIntentClassification (nb)": 45.38,
+ "MassiveIntentClassification (sv)": 40.82,
+ "MassiveScenarioClassification (da)": 59.56,
+ "MassiveScenarioClassification (nb)": 47.55,
+ "MassiveScenarioClassification (sv)": 40.14,
"NoRecClassification": 46.06,
"NordicLangClassification": 74.25,
"NorwegianParliament": 56.79,
@@ -22226,12 +24073,12 @@
"accuracy": [
{
"Model": "voyage-2",
- "AmazonReviewsClassification": 37.26,
- "MTOPDomainClassification": 79.79,
- "MTOPIntentClassification": 45.62,
- "MasakhaNEWSClassification": 80.19,
- "MassiveIntentClassification": 53.7,
- "MassiveScenarioClassification": 62.46
+ "AmazonReviewsClassification (fr)": 37.26,
+ "MTOPDomainClassification (fr)": 79.79,
+ "MTOPIntentClassification (fr)": 45.62,
+ "MasakhaNEWSClassification (fra)": 80.19,
+ "MassiveIntentClassification (fr)": 53.7,
+ "MassiveScenarioClassification (fr)": 62.46
}
]
},
@@ -22244,8 +24091,8 @@
"HALClusteringS2S": 24.84,
"MLSUMClusteringP2P": 45.08,
"MLSUMClusteringS2S": 38.77,
- "MasakhaNEWSClusteringP2P": 48.54,
- "MasakhaNEWSClusteringS2S": 36.33
+ "MasakhaNEWSClusteringP2P (fra)": 48.54,
+ "MasakhaNEWSClusteringS2S (fra)": 36.33
}
]
},
@@ -22253,13 +24100,13 @@
"max_ap": [
{
"Model": "voyage-2",
- "OpusparcusPC": 89.76,
- "PawsXPairClassification": 58.96
+ "OpusparcusPC (fr)": 89.76,
+ "PawsXPairClassification (fr)": 58.96
},
{
"Model": "voyage-2",
- "OpusparcusPC": 89.83,
- "PawsXPairClassification": 58.97
+ "OpusparcusPC (fr)": 89.83,
+ "PawsXPairClassification (fr)": 58.97
}
]
},
@@ -22278,9 +24125,9 @@
"Model": "voyage-2",
"AlloprofRetrieval": 45.5,
"BSARDRetrieval": 0.15,
- "MintakaRetrieval": 15.51,
+ "MintakaRetrieval (fr)": 15.51,
"SyntecRetrieval": 75.83,
- "XPQARetrieval": 67.07
+ "XPQARetrieval (fr)": 67.07
}
]
},
@@ -22289,8 +24136,8 @@
{
"Model": "voyage-2",
"SICKFr": 68.51,
- "STS22": 70.51,
- "STSBenchmarkMultilingualSTS": 76.43
+ "STS22 (fr)": 70.51,
+ "STSBenchmarkMultilingualSTS (fr)": 76.43
}
]
},
@@ -22317,12 +24164,12 @@
"accuracy": [
{
"Model": "voyage-code-2",
- "AmazonReviewsClassification": 42.15,
- "MTOPDomainClassification": 87.68,
- "MTOPIntentClassification": 59.44,
- "MasakhaNEWSClassification": 82.13,
- "MassiveIntentClassification": 63.08,
- "MassiveScenarioClassification": 70.15
+ "AmazonReviewsClassification (fr)": 42.15,
+ "MTOPDomainClassification (fr)": 87.68,
+ "MTOPIntentClassification (fr)": 59.44,
+ "MasakhaNEWSClassification (fra)": 82.13,
+ "MassiveIntentClassification (fr)": 63.08,
+ "MassiveScenarioClassification (fr)": 70.15
}
]
},
@@ -22335,8 +24182,8 @@
"HALClusteringS2S": 27.44,
"MLSUMClusteringP2P": 45.23,
"MLSUMClusteringS2S": 41.48,
- "MasakhaNEWSClusteringP2P": 56.59,
- "MasakhaNEWSClusteringS2S": 35.18
+ "MasakhaNEWSClusteringP2P (fra)": 56.59,
+ "MasakhaNEWSClusteringS2S (fra)": 35.18
}
]
},
@@ -22344,13 +24191,13 @@
"max_ap": [
{
"Model": "voyage-code-2",
- "OpusparcusPC": 92.87,
- "PawsXPairClassification": 60.83
+ "OpusparcusPC (fr)": 92.87,
+ "PawsXPairClassification (fr)": 60.83
},
{
"Model": "voyage-code-2",
- "OpusparcusPC": 92.87,
- "PawsXPairClassification": 60.88
+ "OpusparcusPC (fr)": 92.87,
+ "PawsXPairClassification (fr)": 60.88
}
]
},
@@ -22369,9 +24216,9 @@
"Model": "voyage-code-2",
"AlloprofRetrieval": 52.61,
"BSARDRetrieval": 0.29,
- "MintakaRetrieval": 19.05,
+ "MintakaRetrieval (fr)": 19.05,
"SyntecRetrieval": 82.77,
- "XPQARetrieval": 71.95
+ "XPQARetrieval (fr)": 71.95
}
]
},
@@ -22380,8 +24227,8 @@
{
"Model": "voyage-code-2",
"SICKFr": 73.56,
- "STS22": 79.99,
- "STSBenchmarkMultilingualSTS": 79.02
+ "STS22 (fr)": 79.99,
+ "STSBenchmarkMultilingualSTS (fr)": 79.02
}
]
},
@@ -22408,16 +24255,16 @@
"accuracy": [
{
"Model": "voyage-large-2-instruct",
- "AmazonCounterfactualClassification": 77.6,
+ "AmazonCounterfactualClassification (en)": 77.6,
"AmazonPolarityClassification": 96.58,
- "AmazonReviewsClassification": 50.77,
+ "AmazonReviewsClassification (en)": 50.77,
"Banking77Classification": 86.96,
"EmotionClassification": 59.81,
"ImdbClassification": 96.13,
- "MTOPDomainClassification": 98.86,
- "MTOPIntentClassification": 86.97,
- "MassiveIntentClassification": 81.08,
- "MassiveScenarioClassification": 87.95,
+ "MTOPDomainClassification (en)": 98.86,
+ "MTOPIntentClassification (en)": 86.97,
+ "MassiveIntentClassification (en)": 81.08,
+ "MassiveScenarioClassification (en)": 87.95,
"ToxicConversationsClassification": 83.58,
"TweetSentimentExtractionClassification": 71.55
}
@@ -22526,8 +24373,8 @@
"STS14": 86.49,
"STS15": 91.13,
"STS16": 85.68,
- "STS17": 90.06,
- "STS22": 66.32,
+ "STS17 (en-en)": 90.06,
+ "STS22 (en)": 66.32,
"STSBenchmark": 89.22
}
]
@@ -22555,12 +24402,12 @@
"accuracy": [
{
"Model": "voyage-law-2",
- "AmazonReviewsClassification": 41.98,
- "MTOPDomainClassification": 90.12,
- "MTOPIntentClassification": 62.44,
- "MasakhaNEWSClassification": 76.42,
- "MassiveIntentClassification": 66.94,
- "MassiveScenarioClassification": 72.78
+ "AmazonReviewsClassification (fr)": 41.98,
+ "MTOPDomainClassification (fr)": 90.12,
+ "MTOPIntentClassification (fr)": 62.44,
+ "MasakhaNEWSClassification (fra)": 76.42,
+ "MassiveIntentClassification (fr)": 66.94,
+ "MassiveScenarioClassification (fr)": 72.78
}
]
},
@@ -22571,10 +24418,10 @@
"AlloProfClusteringP2P": 62.5,
"AlloProfClusteringS2S": 44.28,
"HALClusteringS2S": 26.36,
- "MLSUMClusteringP2P": 44.03,
- "MLSUMClusteringS2S": 42.95,
- "MasakhaNEWSClusteringP2P": 50.68,
- "MasakhaNEWSClusteringS2S": 38.79
+ "MLSUMClusteringP2P (fr)": 44.03,
+ "MLSUMClusteringS2S (fr)": 42.95,
+ "MasakhaNEWSClusteringP2P (fra)": 50.68,
+ "MasakhaNEWSClusteringS2S (fra)": 38.79
}
]
},
@@ -22582,13 +24429,13 @@
"max_ap": [
{
"Model": "voyage-law-2",
- "OpusparcusPC": 93.06,
- "PawsXPairClassification": 61.54
+ "OpusparcusPC (fr)": 93.06,
+ "PawsXPairClassification (fr)": 61.54
},
{
"Model": "voyage-law-2",
- "OpusparcusPC": 93.06,
- "PawsXPairClassification": 61.54
+ "OpusparcusPC (fr)": 93.06,
+ "PawsXPairClassification (fr)": 61.54
}
]
},
@@ -22619,9 +24466,9 @@
"LegalBenchCorporateLobbying": 95.66,
"LegalQuAD": 67.47,
"LegalSummarization": 68.96,
- "MintakaRetrieval": 34.92,
+ "MintakaRetrieval (fr)": 34.92,
"SyntecRetrieval": 87.33,
- "XPQARetrieval": 73.56
+ "XPQARetrieval (fr)": 73.56
}
]
},
@@ -22630,8 +24477,8 @@
{
"Model": "voyage-law-2",
"SICKFr": 74.09,
- "STS22": 83.75,
- "STSBenchmarkMultilingualSTS": 83.02
+ "STS22 (fr)": 83.75,
+ "STSBenchmarkMultilingualSTS (fr)": 83.02
}
]
},
@@ -22658,16 +24505,16 @@
"accuracy": [
{
"Model": "voyage-lite-01-instruct",
- "AmazonCounterfactualClassification": 71.43,
+ "AmazonCounterfactualClassification (en)": 71.43,
"AmazonPolarityClassification": 96.41,
- "AmazonReviewsClassification": 57.06,
+ "AmazonReviewsClassification (en)": 57.06,
"Banking77Classification": 81.64,
"EmotionClassification": 48.29,
"ImdbClassification": 95.49,
- "MTOPDomainClassification": 96.3,
- "MTOPIntentClassification": 67.93,
- "MassiveIntentClassification": 71.29,
- "MassiveScenarioClassification": 76.74,
+ "MTOPDomainClassification (en)": 96.3,
+ "MTOPIntentClassification (en)": 67.93,
+ "MassiveIntentClassification (en)": 71.29,
+ "MassiveScenarioClassification (en)": 76.74,
"ToxicConversationsClassification": 75.45,
"TweetSentimentExtractionClassification": 59.44
}
@@ -22751,8 +24598,8 @@
"STS14": 82.08,
"STS15": 89.21,
"STS16": 84.74,
- "STS17": 90.73,
- "STS22": 62.1,
+ "STS17 (en-en)": 90.73,
+ "STS22 (en)": 62.1,
"STSBenchmark": 89.86
}
]
@@ -22780,16 +24627,16 @@
"accuracy": [
{
"Model": "voyage-lite-02-instruct",
- "AmazonCounterfactualClassification": 88.31,
+ "AmazonCounterfactualClassification (en)": 88.31,
"AmazonPolarityClassification": 96.32,
- "AmazonReviewsClassification": 56.25,
+ "AmazonReviewsClassification (en)": 56.25,
"Banking77Classification": 88.59,
"EmotionClassification": 50.28,
"ImdbClassification": 95.75,
- "MTOPDomainClassification": 97.65,
- "MTOPIntentClassification": 75.16,
- "MassiveIntentClassification": 73.97,
- "MassiveScenarioClassification": 83.99,
+ "MTOPDomainClassification (en)": 97.65,
+ "MTOPIntentClassification (en)": 75.16,
+ "MassiveIntentClassification (en)": 73.97,
+ "MassiveScenarioClassification (en)": 83.99,
"ToxicConversationsClassification": 81.75,
"TweetSentimentExtractionClassification": 62.98
}
@@ -22873,8 +24720,8 @@
"STS14": 86.6,
"STS15": 90.1,
"STS16": 86.39,
- "STS17": 86.98,
- "STS22": 76.89,
+ "STS17 (en-en)": 86.98,
+ "STS22 (en)": 76.89,
"STSBenchmark": 88.56
}
]
@@ -22902,12 +24749,12 @@
"accuracy": [
{
"Model": "voyage-multilingual-2",
- "AmazonReviewsClassification": 43.36,
- "MTOPDomainClassification": 90.33,
- "MTOPIntentClassification": 60.52,
- "MasakhaNEWSClassification": 74.81,
- "MassiveIntentClassification": 68.06,
- "MassiveScenarioClassification": 74.29
+ "AmazonReviewsClassification (fr)": 43.36,
+ "MTOPDomainClassification (fr)": 90.33,
+ "MTOPIntentClassification (fr)": 60.52,
+ "MasakhaNEWSClassification (fra)": 74.81,
+ "MassiveIntentClassification (fr)": 68.06,
+ "MassiveScenarioClassification (fr)": 74.29
}
]
},
@@ -22918,10 +24765,10 @@
"AlloProfClusteringP2P": 65.37,
"AlloProfClusteringS2S": 47.03,
"HALClusteringS2S": 27.67,
- "MLSUMClusteringP2P": 45.99,
- "MLSUMClusteringS2S": 45.57,
- "MasakhaNEWSClusteringP2P": 44.53,
- "MasakhaNEWSClusteringS2S": 49.8
+ "MLSUMClusteringP2P (fr)": 45.99,
+ "MLSUMClusteringS2S (fr)": 45.57,
+ "MasakhaNEWSClusteringP2P (fra)": 44.53,
+ "MasakhaNEWSClusteringS2S (fra)": 49.8
}
]
},
@@ -22929,13 +24776,13 @@
"max_ap": [
{
"Model": "voyage-multilingual-2",
- "OpusparcusPC": 93.68,
- "PawsXPairClassification": 63.64
+ "OpusparcusPC (fr)": 93.68,
+ "PawsXPairClassification (fr)": 63.64
},
{
"Model": "voyage-multilingual-2",
- "OpusparcusPC": 93.68,
- "PawsXPairClassification": 63.71
+ "OpusparcusPC (fr)": 93.68,
+ "PawsXPairClassification (fr)": 63.71
}
]
},
@@ -22958,9 +24805,9 @@
"LEMBQMSumRetrieval": 51.49,
"LEMBSummScreenFDRetrieval": 99.11,
"LEMBWikimQARetrieval": 87.49,
- "MintakaRetrieval": 49.19,
+ "MintakaRetrieval (fr)": 49.19,
"SyntecRetrieval": 87.28,
- "XPQARetrieval": 72.92
+ "XPQARetrieval (fr)": 72.92
}
]
},
@@ -22969,8 +24816,8 @@
{
"Model": "voyage-multilingual-2",
"SICKFr": 74.9,
- "STS22": 82.76,
- "STSBenchmarkMultilingualSTS": 82.72
+ "STS22 (fr)": 82.76,
+ "STSBenchmarkMultilingualSTS (fr)": 82.72
}
]
},
@@ -22997,12 +24844,12 @@
"accuracy": [
{
"Model": "universal-sentence-encoder-multilingual-3",
- "AmazonReviewsClassification": 33.51,
- "MTOPDomainClassification": 85.5,
- "MTOPIntentClassification": 53.98,
- "MasakhaNEWSClassification": 82.06,
- "MassiveIntentClassification": 61.19,
- "MassiveScenarioClassification": 70.22
+ "AmazonReviewsClassification (fr)": 33.51,
+ "MTOPDomainClassification (fr)": 85.5,
+ "MTOPIntentClassification (fr)": 53.98,
+ "MasakhaNEWSClassification (fra)": 82.06,
+ "MassiveIntentClassification (fr)": 61.19,
+ "MassiveScenarioClassification (fr)": 70.22
}
]
},
@@ -23015,8 +24862,8 @@
"HALClusteringS2S": 18.95,
"MLSUMClusteringP2P": 43.9,
"MLSUMClusteringS2S": 35.5,
- "MasakhaNEWSClusteringP2P": 60.57,
- "MasakhaNEWSClusteringS2S": 40.31
+ "MasakhaNEWSClusteringP2P (fra)": 60.57,
+ "MasakhaNEWSClusteringS2S (fra)": 40.31
}
]
},
@@ -23024,13 +24871,13 @@
"max_ap": [
{
"Model": "universal-sentence-encoder-multilingual-3",
- "OpusparcusPC": 91.46,
- "PawsXPairClassification": 52.39
+ "OpusparcusPC (fr)": 91.46,
+ "PawsXPairClassification (fr)": 52.39
},
{
"Model": "universal-sentence-encoder-multilingual-3",
- "OpusparcusPC": 91.46,
- "PawsXPairClassification": 52.41
+ "OpusparcusPC (fr)": 91.46,
+ "PawsXPairClassification (fr)": 52.41
}
]
},
@@ -23049,9 +24896,9 @@
"Model": "universal-sentence-encoder-multilingual-3",
"AlloprofRetrieval": 35.27,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 26.12,
+ "MintakaRetrieval (fr)": 26.12,
"SyntecRetrieval": 69.82,
- "XPQARetrieval": 59.59
+ "XPQARetrieval (fr)": 59.59
}
]
},
@@ -23060,8 +24907,8 @@
{
"Model": "universal-sentence-encoder-multilingual-3",
"SICKFr": 71.37,
- "STS22": 77.91,
- "STSBenchmarkMultilingualSTS": 75.48
+ "STS22 (fr)": 77.91,
+ "STSBenchmarkMultilingualSTS (fr)": 75.48
}
]
},
@@ -23088,12 +24935,12 @@
"accuracy": [
{
"Model": "universal-sentence-encoder-multilingual-large-3",
- "AmazonReviewsClassification": 35.09,
- "MTOPDomainClassification": 88.19,
- "MTOPIntentClassification": 63.64,
- "MasakhaNEWSClassification": 72.04,
- "MassiveIntentClassification": 65.8,
- "MassiveScenarioClassification": 73.47
+ "AmazonReviewsClassification (fr)": 35.09,
+ "MTOPDomainClassification (fr)": 88.19,
+ "MTOPIntentClassification (fr)": 63.64,
+ "MasakhaNEWSClassification (fra)": 72.04,
+ "MassiveIntentClassification (fr)": 65.8,
+ "MassiveScenarioClassification (fr)": 73.47
}
]
},
@@ -23106,8 +24953,8 @@
"HALClusteringS2S": 18.94,
"MLSUMClusteringP2P": 41.02,
"MLSUMClusteringS2S": 37.97,
- "MasakhaNEWSClusteringP2P": 24.09,
- "MasakhaNEWSClusteringS2S": 40.24
+ "MasakhaNEWSClusteringP2P (fra)": 24.09,
+ "MasakhaNEWSClusteringS2S (fra)": 40.24
}
]
},
@@ -23115,13 +24962,13 @@
"max_ap": [
{
"Model": "universal-sentence-encoder-multilingual-large-3",
- "OpusparcusPC": 93.38,
- "PawsXPairClassification": 53.62
+ "OpusparcusPC (fr)": 93.38,
+ "PawsXPairClassification (fr)": 53.62
},
{
"Model": "universal-sentence-encoder-multilingual-large-3",
- "OpusparcusPC": 93.38,
- "PawsXPairClassification": 53.66
+ "OpusparcusPC (fr)": 93.38,
+ "PawsXPairClassification (fr)": 53.66
}
]
},
@@ -23140,9 +24987,9 @@
"Model": "universal-sentence-encoder-multilingual-large-3",
"AlloprofRetrieval": 33.78,
"BSARDRetrieval": 0.0,
- "MintakaRetrieval": 26.21,
+ "MintakaRetrieval (fr)": 26.21,
"SyntecRetrieval": 63.69,
- "XPQARetrieval": 65.21
+ "XPQARetrieval (fr)": 65.21
}
]
},
@@ -23151,8 +24998,8 @@
{
"Model": "universal-sentence-encoder-multilingual-large-3",
"SICKFr": 74.39,
- "STS22": 71.11,
- "STSBenchmarkMultilingualSTS": 78.16
+ "STS22 (fr)": 71.11,
+ "STSBenchmarkMultilingualSTS (fr)": 78.16
}
]
},
diff --git a/all_data_tasks/0/default.jsonl b/all_data_tasks/0/default.jsonl
index 6375a709d8afce81c06794f9f65f84fcd8e0e3cb..c7bcec2368e25d7b70ee989901177d6db782a2d8 100644
--- a/all_data_tasks/0/default.jsonl
+++ b/all_data_tasks/0/default.jsonl
@@ -1,295 +1,284 @@
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-{"index":104,"Rank":2,"Model":"SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":89.05,"AmazonCounterfactualClassification (en)":92.72,"AmazonPolarityClassification":97.31,"AmazonReviewsClassification (en)":61.04,"Banking77Classification":90.02,"EmotionClassification":93.37,"ImdbClassification":96.8,"MassiveIntentClassification (en)":85.97,"MassiveScenarioClassification (en)":90.61,"MTOPDomainClassification (en)":98.58,"MTOPIntentClassification (en)":91.3,"ToxicConversationsClassification":91.14,"TweetSentimentExtractionClassification":79.7}
+{"index":221,"Rank":1,"Model":"NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":90.37,"AmazonCounterfactualClassification (en)":94.28,"AmazonPolarityClassification":97.74,"AmazonReviewsClassification (en)":63.96,"Banking77Classification":92.42,"EmotionClassification":93.38,"ImdbClassification":97.14,"MassiveIntentClassification (en)":86.1,"MassiveScenarioClassification (en)":92.17,"MTOPDomainClassification (en)":99.25,"MTOPIntentClassification (en)":94.37,"ToxicConversationsClassification":92.74,"TweetSentimentExtractionClassification":80.87}
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diff --git a/all_data_tasks/1/default.jsonl b/all_data_tasks/1/default.jsonl
index 79cbdd5fc3ea873ecce8500511b8b07b8e1a2865..9e214332ee44f9c19a9a8ea7528354fa922c4d07 100644
--- a/all_data_tasks/1/default.jsonl
+++ b/all_data_tasks/1/default.jsonl
@@ -1,290 +1,279 @@
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diff --git a/all_data_tasks/10/default.jsonl b/all_data_tasks/10/default.jsonl
index 2fafca4e27b68137340c8df432ac78ca7a498eca..5696d4191c4a5c2a4bb690e665dd8bc7a3579358 100644
--- a/all_data_tasks/10/default.jsonl
+++ b/all_data_tasks/10/default.jsonl
@@ -1,73 +1,73 @@
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diff --git a/all_data_tasks/11/default.jsonl b/all_data_tasks/11/default.jsonl
index d1659bf0c7c78943f12924168371162059c5a7ac..a0755536c64f48e42378effea7278503c22e7fd3 100644
--- a/all_data_tasks/11/default.jsonl
+++ b/all_data_tasks/11/default.jsonl
@@ -1,86 +1,86 @@
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@@ -114,178 +114,176 @@
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diff --git a/all_data_tasks/12/default.jsonl b/all_data_tasks/12/default.jsonl
index e90353a45a5f990041059755dcc290d0c56c546a..f7dd0c2af69b3eb1d20627a237c9358d0945dc64 100644
--- a/all_data_tasks/12/default.jsonl
+++ b/all_data_tasks/12/default.jsonl
@@ -1,90 +1,90 @@
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@@ -119,172 +119,170 @@
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diff --git a/all_data_tasks/13/default.jsonl b/all_data_tasks/13/default.jsonl
index edfdd94a4d074aada5a9f055cbe22a0a47b60e9e..8c41d8154dfac9e2c0a22d07fa40ea8fbf546820 100644
--- a/all_data_tasks/13/default.jsonl
+++ b/all_data_tasks/13/default.jsonl
@@ -1,291 +1,288 @@
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diff --git a/all_data_tasks/15/default.jsonl b/all_data_tasks/15/default.jsonl
index 13a91833496fc1487d52414400e627c2408b7889..9b7759afff13d6b51ab22e3d35b48d949b93757b 100644
--- a/all_data_tasks/15/default.jsonl
+++ b/all_data_tasks/15/default.jsonl
@@ -1,47 +1,53 @@
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diff --git a/all_data_tasks/16/default.jsonl b/all_data_tasks/16/default.jsonl
index a2dcaff7e37380c4229fef8ef599e32bcf95e870..03c86407167bec186852d8a483670833cd230650 100644
--- a/all_data_tasks/16/default.jsonl
+++ b/all_data_tasks/16/default.jsonl
@@ -1,88 +1,91 @@
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{"index":11,"Rank":2,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":81.62,"AmazonReviewsClassification (fr)":55.19,"MasakhaNEWSClassification (fra)":82.49,"MassiveIntentClassification (fr)":79.6,"MassiveScenarioClassification (fr)":82.18,"MTOPDomainClassification (fr)":97.2,"MTOPIntentClassification (fr)":93.07}
{"index":8,"Rank":3,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":78.02,"AmazonReviewsClassification (fr)":53.47,"MasakhaNEWSClassification (fra)":85.19,"MassiveIntentClassification (fr)":76.65,"MassiveScenarioClassification (fr)":79.1,"MTOPDomainClassification (fr)":93.48,"MTOPIntentClassification (fr)":80.23}
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{"index":25,"Rank":5,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":76.28,"AmazonReviewsClassification (fr)":54.43,"MasakhaNEWSClassification (fra)":81.35,"MassiveIntentClassification (fr)":75.51,"MassiveScenarioClassification (fr)":77.29,"MTOPDomainClassification (fr)":92.25,"MTOPIntentClassification (fr)":76.87}
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+{"index":21,"Rank":59,"Model":"xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":30.71,"AmazonReviewsClassification (fr)":26.62,"MasakhaNEWSClassification (fra)":65.76,"MassiveIntentClassification (fr)":15.82,"MassiveScenarioClassification (fr)":23.92,"MTOPDomainClassification (fr)":36.77,"MTOPIntentClassification (fr)":15.37}
+{"index":61,"Rank":60,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":30.38,"AmazonReviewsClassification (fr)":26.85,"MasakhaNEWSClassification (fra)":67.94,"MassiveIntentClassification (fr)":15.09,"MassiveScenarioClassification (fr)":21.67,"MTOPDomainClassification (fr)":34.99,"MTOPIntentClassification (fr)":15.76}
+{"index":52,"Rank":61,"Model":"flaubert_large_cased<\/a>","Model Size (Million Parameters)":372,"Memory Usage (GB, fp32)":1.39,"Embedding Dimensions":1024,"Max Tokens":512,"Average":25.21,"AmazonReviewsClassification (fr)":22.45,"MasakhaNEWSClassification (fra)":55.64,"MassiveIntentClassification (fr)":16.41,"MassiveScenarioClassification (fr)":22.72,"MTOPDomainClassification (fr)":24.27,"MTOPIntentClassification (fr)":9.79}
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+{"index":73,"Rank":87,"Model":"average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average":"","AmazonReviewsClassification (fr)":"","MasakhaNEWSClassification (fra)":"","MassiveIntentClassification (fr)":"","MassiveScenarioClassification (fr)":"","MTOPDomainClassification (fr)":"","MTOPIntentClassification (fr)":""}
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+{"index":91,"Rank":92,"Model":"text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","AmazonReviewsClassification (fr)":"","MasakhaNEWSClassification (fra)":"","MassiveIntentClassification (fr)":"","MassiveScenarioClassification (fr)":"","MTOPDomainClassification (fr)":"","MTOPIntentClassification (fr)":""}
diff --git a/all_data_tasks/17/default.jsonl b/all_data_tasks/17/default.jsonl
index 0595ef5e68a3db5a64e93215f4e926e57d30439b..52f90b6672141da893c3563589881c131815fd8b 100644
--- a/all_data_tasks/17/default.jsonl
+++ b/all_data_tasks/17/default.jsonl
@@ -1,82 +1,86 @@
{"index":11,"Rank":1,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":56.48,"AlloProfClusteringP2P":71.2,"AlloProfClusteringS2S":59.64,"HALClusteringS2S":28.19,"MLSUMClusteringP2P (fr)":47.75,"MLSUMClusteringS2S (fr)":47.46,"MasakhaNEWSClusteringP2P (fra)":73.86,"MasakhaNEWSClusteringS2S (fra)":67.24}
{"index":9,"Rank":2,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":55.56,"AlloProfClusteringP2P":76.06,"AlloProfClusteringS2S":64.52,"HALClusteringS2S":30.83,"MLSUMClusteringP2P (fr)":50.03,"MLSUMClusteringS2S (fr)":43.7,"MasakhaNEWSClusteringP2P (fra)":60.19,"MasakhaNEWSClusteringS2S (fra)":63.62}
{"index":8,"Rank":3,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":55.01,"AlloProfClusteringP2P":70.55,"AlloProfClusteringS2S":55.42,"HALClusteringS2S":28.3,"MLSUMClusteringP2P (fr)":45.27,"MLSUMClusteringS2S (fr)":42.77,"MasakhaNEWSClusteringP2P (fra)":71.04,"MasakhaNEWSClusteringS2S (fra)":71.71}
-{"index":41,"Rank":4,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":51.26,"AlloProfClusteringP2P":65.3,"AlloProfClusteringS2S":55.37,"HALClusteringS2S":26.27,"MLSUMClusteringP2P (fr)":42.6,"MLSUMClusteringS2S (fr)":42.92,"MasakhaNEWSClusteringP2P (fra)":71.29,"MasakhaNEWSClusteringS2S (fra)":55.09}
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-{"index":3,"Rank":31,"Model":"voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":"","AlloProfClusteringP2P":62.5,"AlloProfClusteringS2S":44.28,"HALClusteringS2S":26.36,"MLSUMClusteringP2P (fr)":44.03,"MLSUMClusteringS2S (fr)":42.95,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
-{"index":4,"Rank":32,"Model":"voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"Average":"","AlloProfClusteringP2P":65.37,"AlloProfClusteringS2S":47.03,"HALClusteringS2S":27.67,"MLSUMClusteringP2P (fr)":45.99,"MLSUMClusteringS2S (fr)":45.57,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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-{"index":17,"Rank":40,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
-{"index":18,"Rank":41,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
-{"index":19,"Rank":42,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
-{"index":20,"Rank":43,"Model":"xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","AlloProfClusteringP2P":52.24,"AlloProfClusteringS2S":20.37,"HALClusteringS2S":8.68,"MLSUMClusteringP2P (fr)":40.44,"MLSUMClusteringS2S (fr)":24.14,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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-{"index":34,"Rank":53,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
-{"index":35,"Rank":54,"Model":"SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
-{"index":36,"Rank":55,"Model":"SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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-{"index":53,"Rank":70,"Model":"flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":43.2,"AlloProfClusteringS2S":12.94,"HALClusteringS2S":1.8,"MLSUMClusteringP2P (fr)":33.22,"MLSUMClusteringS2S (fr)":14.9,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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-{"index":63,"Rank":76,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":"","AlloProfClusteringP2P":53.57,"AlloProfClusteringS2S":22.13,"HALClusteringS2S":7.68,"MLSUMClusteringP2P (fr)":36.43,"MLSUMClusteringS2S (fr)":25.26,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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-{"index":82,"Rank":84,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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-{"index":84,"Rank":86,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":256,"Average":"","AlloProfClusteringP2P":49.11,"AlloProfClusteringS2S":32.72,"HALClusteringS2S":16.19,"MLSUMClusteringP2P (fr)":36.19,"MLSUMClusteringS2S (fr)":30.39,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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+{"index":73,"Rank":87,"Model":"average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
+{"index":75,"Rank":88,"Model":"gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
+{"index":76,"Rank":89,"Model":"gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
+{"index":84,"Rank":90,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
+{"index":85,"Rank":91,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
+{"index":91,"Rank":92,"Model":"text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
diff --git a/all_data_tasks/18/default.jsonl b/all_data_tasks/18/default.jsonl
index 6559b0f5279b248ed66dfda4e6422df373ba9a87..57907768e062d701a3ff8ef55c52ae19fb7e3dce 100644
--- a/all_data_tasks/18/default.jsonl
+++ b/all_data_tasks/18/default.jsonl
@@ -1,83 +1,87 @@
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{"index":8,"Rank":2,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":86.88,"OpusparcusPC (fr)":100.0,"PawsXPairClassification (fr)":73.77}
{"index":11,"Rank":3,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":85.07,"OpusparcusPC (fr)":100.0,"PawsXPairClassification (fr)":70.14}
-{"index":7,"Rank":4,"Model":"llm2vec-occiglot-mntp<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.54,"OpusparcusPC (fr)":100.0,"PawsXPairClassification (fr)":61.07}
-{"index":67,"Rank":5,"Model":"sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":80.23,"OpusparcusPC (fr)":93.48,"PawsXPairClassification (fr)":66.98}
-{"index":69,"Rank":6,"Model":"sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":80.15,"OpusparcusPC (fr)":93.37,"PawsXPairClassification (fr)":66.92}
-{"index":41,"Rank":7,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":79.64,"OpusparcusPC (fr)":94.77,"PawsXPairClassification (fr)":64.51}
-{"index":30,"Rank":8,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":79.64,"OpusparcusPC (fr)":94.77,"PawsXPairClassification (fr)":64.51}
-{"index":68,"Rank":9,"Model":"sentence_croissant_alpha_v0.3<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":79.57,"OpusparcusPC (fr)":93.72,"PawsXPairClassification (fr)":65.42}
-{"index":10,"Rank":10,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":79.46,"OpusparcusPC (fr)":100.0,"PawsXPairClassification (fr)":58.93}
-{"index":57,"Rank":11,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.63,"OpusparcusPC (fr)":95.23,"PawsXPairClassification (fr)":62.03}
-{"index":25,"Rank":12,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":78.35,"OpusparcusPC (fr)":95.14,"PawsXPairClassification (fr)":61.56}
-{"index":31,"Rank":13,"Model":"bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":78.3,"OpusparcusPC (fr)":93.15,"PawsXPairClassification (fr)":63.44}
-{"index":60,"Rank":14,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":77.24,"OpusparcusPC (fr)":94.73,"PawsXPairClassification (fr)":59.76}
-{"index":39,"Rank":15,"Model":"Solon-embeddings-large-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":77.1,"OpusparcusPC (fr)":94.02,"PawsXPairClassification (fr)":60.19}
-{"index":65,"Rank":16,"Model":"bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":77.1,"OpusparcusPC (fr)":93.34,"PawsXPairClassification (fr)":60.85}
-{"index":29,"Rank":17,"Model":"bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":77.01,"OpusparcusPC (fr)":93.64,"PawsXPairClassification (fr)":60.38}
-{"index":87,"Rank":18,"Model":"bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":76.97,"OpusparcusPC (fr)":93.18,"PawsXPairClassification (fr)":60.76}
-{"index":64,"Rank":19,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":76.6,"OpusparcusPC (fr)":93.75,"PawsXPairClassification (fr)":59.44}
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-{"index":32,"Rank":22,"Model":"bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":75.61,"OpusparcusPC (fr)":92.6,"PawsXPairClassification (fr)":58.63}
-{"index":76,"Rank":23,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":74.57,"OpusparcusPC (fr)":92.01,"PawsXPairClassification (fr)":57.13}
-{"index":70,"Rank":24,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"Average":74.33,"OpusparcusPC (fr)":93.96,"PawsXPairClassification (fr)":54.7}
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-{"index":61,"Rank":26,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":72.27,"OpusparcusPC (fr)":91.77,"PawsXPairClassification (fr)":52.77}
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-{"index":0,"Rank":30,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":""}
-{"index":1,"Rank":31,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":""}
-{"index":2,"Rank":32,"Model":"voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":16000,"Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":""}
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-{"index":6,"Rank":36,"Model":"llm2vec-croissant-mntp<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":""}
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-{"index":18,"Rank":43,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":""}
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-{"index":23,"Rank":48,"Model":"bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":""}
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-{"index":26,"Rank":50,"Model":"multilingual-e5-large-pooled<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":""}
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-{"index":35,"Rank":55,"Model":"SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":""}
-{"index":36,"Rank":56,"Model":"SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":""}
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diff --git a/all_data_tasks/19/default.jsonl b/all_data_tasks/19/default.jsonl
index 34fb92e1c0f00520f19a921a9048b6718a9e5fb5..71b8af7189e00090457b7a6f5085f5f2883f04af 100644
--- a/all_data_tasks/19/default.jsonl
+++ b/all_data_tasks/19/default.jsonl
@@ -2,81 +2,85 @@
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diff --git a/all_data_tasks/2/default.jsonl b/all_data_tasks/2/default.jsonl
index d285e375d754d985e730bd60cbbc904449f6de18..e00b256826efe7b1eff981a274e4d886ba361635 100644
--- a/all_data_tasks/2/default.jsonl
+++ b/all_data_tasks/2/default.jsonl
@@ -1,295 +1,284 @@
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diff --git a/all_data_tasks/20/default.jsonl b/all_data_tasks/20/default.jsonl
index 5eee280d3375b13fd75b9921075b0a8a6c95ddef..df4bad6ae0f3a1d02469b472ae0357081a58abe6 100644
--- a/all_data_tasks/20/default.jsonl
+++ b/all_data_tasks/20/default.jsonl
@@ -1,82 +1,86 @@
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{"index":9,"Rank":2,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":55.65,"AlloprofRetrieval":58.88,"BSARDRetrieval":18.8,"MintakaRetrieval (fr)":54.03,"SyntecRetrieval":78.25,"XPQARetrieval (fr)":68.3}
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diff --git a/all_data_tasks/21/default.jsonl b/all_data_tasks/21/default.jsonl
index 9da00b4449e81c8d3b6b01e2ff3c879aff6ada9b..2087689500d0660b36b0e504c754eaa5264f6aeb 100644
--- a/all_data_tasks/21/default.jsonl
+++ b/all_data_tasks/21/default.jsonl
@@ -1,86 +1,89 @@
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{"index":11,"Rank":5,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":82.59,"STS22 (fr)":83.28,"STSBenchmarkMultilingualSTS (fr)":85.09,"SICKFr":79.39}
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{"index":9,"Rank":7,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":82.31,"STS22 (fr)":82.58,"STSBenchmarkMultilingualSTS (fr)":85.46,"SICKFr":78.9}
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diff --git a/all_data_tasks/22/default.jsonl b/all_data_tasks/22/default.jsonl
index b998debf58dc854c710e66d2f8dccd1fdae2430e..e46bd40078dba06cf4485bd8b2dda77c625e7841 100644
--- a/all_data_tasks/22/default.jsonl
+++ b/all_data_tasks/22/default.jsonl
@@ -1,82 +1,86 @@
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{"index":5,"Rank":7,"Model":"LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Embedding Dimensions":1024,"Max Tokens":"N\/A","SummEvalFr":31.56}
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{"index":0,"Rank":9,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","SummEvalFr":31.47}
{"index":9,"Rank":10,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"SummEvalFr":31.45}
{"index":15,"Rank":11,"Model":"Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"SummEvalFr":31.4}
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{"index":1,"Rank":17,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"SummEvalFr":30.88}
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diff --git a/all_data_tasks/23/default.jsonl b/all_data_tasks/23/default.jsonl
index 2eaa4f27a837ec885e949b2376ededbfeb5fb193..cac88f77a76137c69028c5c49614a6332dcc0925 100644
--- a/all_data_tasks/23/default.jsonl
+++ b/all_data_tasks/23/default.jsonl
@@ -1,47 +1,53 @@
-{"index":30,"Rank":1,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":65.14,"MassiveIntentClassification (nb)":64.54,"MassiveScenarioClassification (nb)":70.44,"NoRecClassification":62.76,"NordicLangClassification":82.29,"NorwegianParliament":60.36,"ScalaNbClassification":50.44}
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-{"index":24,"Rank":4,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.92,"MassiveIntentClassification (nb)":59.9,"MassiveScenarioClassification (nb)":65.81,"NoRecClassification":48.25,"NordicLangClassification":48.4,"NorwegianParliament":55.99,"ScalaNbClassification":51.18}
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-{"index":1,"Rank":7,"Model":"winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","MassiveIntentClassification (nb)":36.89,"MassiveScenarioClassification (nb)":44.27,"NoRecClassification":43.53,"NordicLangClassification":"","NorwegianParliament":54.9,"ScalaNbClassification":""}
-{"index":2,"Rank":8,"Model":"winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","MassiveIntentClassification (nb)":28.65,"MassiveScenarioClassification (nb)":35.24,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
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-{"index":28,"Rank":33,"Model":"e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":"","MassiveScenarioClassification (nb)":"","NoRecClassification":41.84,"NordicLangClassification":53.47,"NorwegianParliament":56.57,"ScalaNbClassification":50.03}
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-{"index":34,"Rank":36,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":559,"Memory Usage (GB, fp32)":2.08,"Embedding Dimensions":1024,"Max Tokens":2048,"Average":"","MassiveIntentClassification (nb)":44.12,"MassiveScenarioClassification (nb)":46.79,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
-{"index":35,"Rank":37,"Model":"electra-small-nordic<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":256,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":"","MassiveScenarioClassification (nb)":"","NoRecClassification":45.44,"NordicLangClassification":57.82,"NorwegianParliament":53.25,"ScalaNbClassification":75.28}
-{"index":36,"Rank":38,"Model":"norbert3-base<\/a>","Model Size (Million Parameters)":131,"Memory Usage (GB, fp32)":0.49,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":"","MassiveScenarioClassification (nb)":"","NoRecClassification":53.4,"NordicLangClassification":82.67,"NorwegianParliament":59.33,"ScalaNbClassification":60.19}
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-{"index":42,"Rank":43,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":55.52,"MassiveScenarioClassification (nb)":64.25,"NoRecClassification":46.7,"NordicLangClassification":42.52,"NorwegianParliament":"","ScalaNbClassification":""}
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+{"index":27,"Rank":15,"Model":"e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":48.46,"MassiveIntentClassification (nb)":40.25,"MassiveScenarioClassification (nb)":48.58,"NoRecClassification":41.84,"NordicLangClassification":53.47,"NorwegianParliament":56.57,"ScalaNbClassification":50.03}
+{"index":8,"Rank":16,"Model":"bert-base-swedish-cased<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.18,"MassiveIntentClassification (nb)":35.75,"MassiveScenarioClassification (nb)":35.76,"NoRecClassification":43.91,"NordicLangClassification":62.45,"NorwegianParliament":57.56,"ScalaNbClassification":53.63}
+{"index":34,"Rank":17,"Model":"electra-small-nordic<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":256,"Max Tokens":512,"Average":47.28,"MassiveIntentClassification (nb)":24.6,"MassiveScenarioClassification (nb)":27.3,"NoRecClassification":45.44,"NordicLangClassification":57.82,"NorwegianParliament":53.25,"ScalaNbClassification":75.28}
+{"index":39,"Rank":18,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":46.94,"MassiveIntentClassification (nb)":39.36,"MassiveScenarioClassification (nb)":44.67,"NoRecClassification":37.93,"NordicLangClassification":54.7,"NorwegianParliament":54.8,"ScalaNbClassification":50.17}
+{"index":9,"Rank":19,"Model":"electra-small-swedish-cased-discriminator<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":256,"Max Tokens":512,"Average":34.34,"MassiveIntentClassification (nb)":5.66,"MassiveScenarioClassification (nb)":11.26,"NoRecClassification":39.72,"NordicLangClassification":44.53,"NorwegianParliament":52.44,"ScalaNbClassification":52.41}
+{"index":0,"Rank":20,"Model":"LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Embedding Dimensions":1024,"Max Tokens":"N\/A","Average":"","MassiveIntentClassification (nb)":37.74,"MassiveScenarioClassification (nb)":43.9,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":1,"Rank":21,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":"","MassiveIntentClassification (nb)":63.74,"MassiveScenarioClassification (nb)":71.5,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":2,"Rank":22,"Model":"winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","MassiveIntentClassification (nb)":36.89,"MassiveScenarioClassification (nb)":44.27,"NoRecClassification":43.53,"NordicLangClassification":"","NorwegianParliament":54.9,"ScalaNbClassification":""}
+{"index":3,"Rank":23,"Model":"winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","MassiveIntentClassification (nb)":28.65,"MassiveScenarioClassification (nb)":35.24,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":4,"Rank":24,"Model":"windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","MassiveIntentClassification (nb)":31.07,"MassiveScenarioClassification (nb)":38.02,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":6,"Rank":25,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":"","MassiveIntentClassification (nb)":70.92,"MassiveScenarioClassification (nb)":75.62,"NoRecClassification":56.05,"NordicLangClassification":69.36,"NorwegianParliament":"","ScalaNbClassification":""}
+{"index":7,"Rank":26,"Model":"e5-dansk-test-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","MassiveIntentClassification (nb)":"","MassiveScenarioClassification (nb)":"","NoRecClassification":"","NordicLangClassification":61.0,"NorwegianParliament":"","ScalaNbClassification":""}
+{"index":11,"Rank":27,"Model":"MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":39.67,"MassiveScenarioClassification (nb)":50.89,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":12,"Rank":28,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":61.96,"MassiveScenarioClassification (nb)":67.37,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":13,"Rank":29,"Model":"SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","MassiveIntentClassification (nb)":39.82,"MassiveScenarioClassification (nb)":39.02,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":14,"Rank":30,"Model":"SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","MassiveIntentClassification (nb)":39.48,"MassiveScenarioClassification (nb)":40.47,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":17,"Rank":31,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","MassiveIntentClassification (nb)":71.66,"MassiveScenarioClassification (nb)":77.21,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":18,"Rank":32,"Model":"Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","MassiveIntentClassification (nb)":54.41,"MassiveScenarioClassification (nb)":64.64,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":19,"Rank":33,"Model":"sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":"","MassiveIntentClassification (nb)":49.41,"MassiveScenarioClassification (nb)":51.8,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":20,"Rank":34,"Model":"slx-v0.1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":38.18,"MassiveScenarioClassification (nb)":43.39,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":22,"Rank":35,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":35.78,"MassiveScenarioClassification (nb)":42.43,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":26,"Rank":36,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","MassiveIntentClassification (nb)":65.35,"MassiveScenarioClassification (nb)":72.48,"NoRecClassification":55.0,"NordicLangClassification":69.13,"NorwegianParliament":"","ScalaNbClassification":""}
+{"index":30,"Rank":37,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","MassiveIntentClassification (nb)":65.85,"MassiveScenarioClassification (nb)":71.28,"NoRecClassification":57.06,"NordicLangClassification":76.57,"NorwegianParliament":"","ScalaNbClassification":""}
+{"index":32,"Rank":38,"Model":"udever-bloom-1b1<\/a>","Model Size (Million Parameters)":1065,"Memory Usage (GB, fp32)":3.97,"Embedding Dimensions":1536,"Max Tokens":2048,"Average":"","MassiveIntentClassification (nb)":46.18,"MassiveScenarioClassification (nb)":50.32,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":33,"Rank":39,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":559,"Memory Usage (GB, fp32)":2.08,"Embedding Dimensions":1024,"Max Tokens":2048,"Average":"","MassiveIntentClassification (nb)":44.12,"MassiveScenarioClassification (nb)":46.79,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":37,"Rank":40,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":57.91,"MassiveScenarioClassification (nb)":64.29,"NoRecClassification":45.45,"NordicLangClassification":35.39,"NorwegianParliament":"","ScalaNbClassification":""}
+{"index":38,"Rank":41,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":41.91,"MassiveScenarioClassification (nb)":47.36,"NoRecClassification":37.73,"NordicLangClassification":54.17,"NorwegianParliament":"","ScalaNbClassification":""}
+{"index":40,"Rank":42,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","MassiveIntentClassification (nb)":39.3,"MassiveScenarioClassification (nb)":45.75,"NoRecClassification":38.34,"NordicLangClassification":50.15,"NorwegianParliament":"","ScalaNbClassification":""}
+{"index":41,"Rank":43,"Model":"allenai-specter<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":34.75,"MassiveScenarioClassification (nb)":35.71,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":42,"Rank":44,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":46.01,"MassiveScenarioClassification (nb)":54.98,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":43,"Rank":45,"Model":"gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":43.78,"MassiveScenarioClassification (nb)":52.71,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":44,"Rank":46,"Model":"gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":45.87,"MassiveScenarioClassification (nb)":54.44,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":45,"Rank":47,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":55.52,"MassiveScenarioClassification (nb)":64.25,"NoRecClassification":46.7,"NordicLangClassification":42.52,"NorwegianParliament":"","ScalaNbClassification":""}
+{"index":46,"Rank":48,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","MassiveIntentClassification (nb)":62.62,"MassiveScenarioClassification (nb)":70.23,"NoRecClassification":50.32,"NordicLangClassification":41.57,"NorwegianParliament":"","ScalaNbClassification":""}
+{"index":47,"Rank":49,"Model":"sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":38.53,"MassiveScenarioClassification (nb)":46.6,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":48,"Rank":50,"Model":"sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":41.29,"MassiveScenarioClassification (nb)":49.92,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":49,"Rank":51,"Model":"sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":45.91,"MassiveScenarioClassification (nb)":53.43,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":50,"Rank":52,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"Average":"","MassiveIntentClassification (nb)":32.3,"MassiveScenarioClassification (nb)":39.05,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":51,"Rank":53,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","MassiveIntentClassification (nb)":54.64,"MassiveScenarioClassification (nb)":60.26,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
diff --git a/all_data_tasks/25/default.jsonl b/all_data_tasks/25/default.jsonl
index bda1c23ca8d89a7e290f8fda76516a73607b0450..620e15895b7ce70b4d5692c5e853ba83827d9d65 100644
--- a/all_data_tasks/25/default.jsonl
+++ b/all_data_tasks/25/default.jsonl
@@ -1,9 +1,9 @@
{"index":13,"Rank":1,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":36.54,"BlurbsClusteringP2P":41.63,"BlurbsClusteringS2S":21.0,"TenKGnadClusteringP2P":43.76,"TenKGnadClusteringS2S":39.76}
{"index":8,"Rank":2,"Model":"gbert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average":32.34,"BlurbsClusteringP2P":39.3,"BlurbsClusteringS2S":13.38,"TenKGnadClusteringP2P":41.69,"TenKGnadClusteringS2S":34.97}
{"index":19,"Rank":3,"Model":"sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":29.74,"BlurbsClusteringP2P":39.91,"BlurbsClusteringS2S":15.94,"TenKGnadClusteringP2P":43.43,"TenKGnadClusteringS2S":19.69}
-{"index":12,"Rank":4,"Model":"jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
-{"index":2,"Rank":5,"Model":"jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
-{"index":6,"Rank":6,"Model":"jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
+{"index":2,"Rank":4,"Model":"jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
+{"index":6,"Rank":5,"Model":"jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
+{"index":12,"Rank":6,"Model":"jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
{"index":5,"Rank":7,"Model":"German_Semantic_STS_V2<\/a>","Model Size (Million Parameters)":336,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":29.5,"BlurbsClusteringP2P":38.68,"BlurbsClusteringS2S":17.62,"TenKGnadClusteringP2P":38.0,"TenKGnadClusteringS2S":23.71}
{"index":18,"Rank":8,"Model":"sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":27.49,"BlurbsClusteringP2P":35.33,"BlurbsClusteringS2S":13.27,"TenKGnadClusteringP2P":44.11,"TenKGnadClusteringS2S":17.26}
{"index":16,"Rank":9,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":27.04,"BlurbsClusteringP2P":34.38,"BlurbsClusteringS2S":15.81,"TenKGnadClusteringP2P":35.96,"TenKGnadClusteringS2S":22.0}
diff --git a/all_data_tasks/26/default.jsonl b/all_data_tasks/26/default.jsonl
index b728b8e4a75ce6ab08aa50d076ec5844d00a69c0..cea8fda162443641c1647dfbcd31773f30a0729c 100644
--- a/all_data_tasks/26/default.jsonl
+++ b/all_data_tasks/26/default.jsonl
@@ -1,54 +1,60 @@
-{"index":3,"Rank":1,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":77.99,"AllegroReviews":65.0,"CBD":84.13,"MassiveIntentClassification (pl)":79.41,"MassiveScenarioClassification (pl)":81.93,"PAC":67.24,"PolEmo2.0-IN":90.42,"PolEmo2.0-OUT":77.77}
-{"index":1,"Rank":2,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":77.84,"AllegroReviews":67.14,"CBD":78.03,"MassiveIntentClassification (pl)":80.75,"MassiveScenarioClassification (pl)":85.54,"PAC":69.04,"PolEmo2.0-IN":89.39,"PolEmo2.0-OUT":74.98}
-{"index":0,"Rank":3,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":72.29,"AllegroReviews":63.98,"CBD":68.56,"MassiveIntentClassification (pl)":73.55,"MassiveScenarioClassification (pl)":76.37,"PAC":69.04,"PolEmo2.0-IN":86.16,"PolEmo2.0-OUT":68.4}
-{"index":7,"Rank":4,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":71.24,"AllegroReviews":56.77,"CBD":77.23,"MassiveIntentClassification (pl)":75.36,"MassiveScenarioClassification (pl)":76.25,"PAC":67.05,"PolEmo2.0-IN":83.5,"PolEmo2.0-OUT":62.55}
-{"index":38,"Rank":5,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":70.81,"AllegroReviews":49.51,"CBD":69.99,"MassiveIntentClassification (pl)":75.37,"MassiveScenarioClassification (pl)":82.1,"PAC":68.4,"PolEmo2.0-IN":83.75,"PolEmo2.0-OUT":66.54}
-{"index":29,"Rank":6,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":69.55,"AllegroReviews":59.78,"CBD":72.59,"MassiveIntentClassification (pl)":71.03,"MassiveScenarioClassification (pl)":75.09,"PAC":62.26,"PolEmo2.0-IN":85.58,"PolEmo2.0-OUT":60.55}
-{"index":32,"Rank":7,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":67.02,"AllegroReviews":52.43,"CBD":74.21,"MassiveIntentClassification (pl)":67.45,"MassiveScenarioClassification (pl)":71.44,"PAC":65.68,"PolEmo2.0-IN":80.96,"PolEmo2.0-OUT":56.96}
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+{"index":27,"Rank":23,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.34,"AllegroReviews":29.62,"CBD":63.83,"MassiveIntentClassification (pl)":65.86,"MassiveScenarioClassification (pl)":69.99,"PAC":73.87,"PolEmo2.0-IN":52.8,"PolEmo2.0-OUT":38.4}
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+{"index":54,"Rank":25,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":52.18,"AllegroReviews":30.88,"CBD":57.68,"MassiveIntentClassification (pl)":59.43,"MassiveScenarioClassification (pl)":65.04,"PAC":65.76,"PolEmo2.0-IN":57.76,"PolEmo2.0-OUT":28.7}
+{"index":51,"Rank":26,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.92,"AllegroReviews":28.03,"CBD":60.0,"MassiveIntentClassification (pl)":53.1,"MassiveScenarioClassification (pl)":61.29,"PAC":68.17,"PolEmo2.0-IN":48.84,"PolEmo2.0-OUT":30.0}
+{"index":47,"Rank":27,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":40.07,"AllegroReviews":24.64,"CBD":50.9,"MassiveIntentClassification (pl)":36.07,"MassiveScenarioClassification (pl)":43.82,"PAC":59.78,"PolEmo2.0-IN":40.29,"PolEmo2.0-OUT":25.0}
+{"index":48,"Rank":28,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":39.84,"AllegroReviews":22.99,"CBD":50.25,"MassiveIntentClassification (pl)":34.26,"MassiveScenarioClassification (pl)":42.66,"PAC":62.1,"PolEmo2.0-IN":41.63,"PolEmo2.0-OUT":25.0}
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+{"index":50,"Rank":54,"Model":"average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":"","MassiveScenarioClassification (pl)":"","PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
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+{"index":53,"Rank":56,"Model":"gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":42.64,"MassiveScenarioClassification (pl)":49.97,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":56,"Rank":57,"Model":"sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":34.41,"MassiveScenarioClassification (pl)":42.3,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
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+{"index":59,"Rank":60,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":26.82,"MassiveScenarioClassification (pl)":31.62,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":60,"Rank":61,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":58.91,"MassiveScenarioClassification (pl)":62.55,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
diff --git a/all_data_tasks/27/default.jsonl b/all_data_tasks/27/default.jsonl
index 301e365715d03fb383154ec5f20003eedb3c1c6f..43be06337a0929af8bc72a17814038e610acc9e7 100644
--- a/all_data_tasks/27/default.jsonl
+++ b/all_data_tasks/27/default.jsonl
@@ -1,43 +1,50 @@
-{"index":1,"Rank":1,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"8TagsClustering":51.36}
-{"index":3,"Rank":2,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"8TagsClustering":50.29}
-{"index":0,"Rank":3,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"8TagsClustering":44.59}
-{"index":38,"Rank":4,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"8TagsClustering":43.66}
-{"index":31,"Rank":5,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"8TagsClustering":33.88}
-{"index":2,"Rank":6,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"8TagsClustering":33.67}
-{"index":45,"Rank":7,"Model":"st-polish-paraphrase-from-mpnet<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"8TagsClustering":33.15}
-{"index":42,"Rank":8,"Model":"mmlw-roberta-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":514,"8TagsClustering":33.08}
-{"index":23,"Rank":9,"Model":"st-polish-kartonberta-base-alpha-v1<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":514,"8TagsClustering":32.85}
-{"index":41,"Rank":10,"Model":"mmlw-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"8TagsClustering":31.77}
-{"index":44,"Rank":11,"Model":"st-polish-paraphrase-from-distilroberta<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"8TagsClustering":31.68}
-{"index":35,"Rank":12,"Model":"silver-retriever-base-v1<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"8TagsClustering":31.49}
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diff --git a/all_data_tasks/28/default.jsonl b/all_data_tasks/28/default.jsonl
index d9356659cee3e8f5301afe61ead41793686f0dda..30fe6520fc4dac03c7408c517f0a89350fe58e13 100644
--- a/all_data_tasks/28/default.jsonl
+++ b/all_data_tasks/28/default.jsonl
@@ -1,49 +1,56 @@
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diff --git a/all_data_tasks/29/default.jsonl b/all_data_tasks/29/default.jsonl
index 596be5d1665139fe376624fe6c5a5a1a69f660fc..8c169823420eb533aee57f80f93ff3c742e72a82 100644
--- a/all_data_tasks/29/default.jsonl
+++ b/all_data_tasks/29/default.jsonl
@@ -1,42 +1,49 @@
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diff --git a/all_data_tasks/3/default.jsonl b/all_data_tasks/3/default.jsonl
index c6496097cd6c4009e308771490dd1884c2a164de..46fa1750807793c83a1978d654e7765600e81788 100644
--- a/all_data_tasks/3/default.jsonl
+++ b/all_data_tasks/3/default.jsonl
@@ -1,288 +1,277 @@
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diff --git a/all_data_tasks/30/default.jsonl b/all_data_tasks/30/default.jsonl
index a093086a1379e4ffebc4b271a8828ecfe600ac25..b33706d5f2311fe8cad1a2d352977a4e75f14a0a 100644
--- a/all_data_tasks/30/default.jsonl
+++ b/all_data_tasks/30/default.jsonl
@@ -1,51 +1,57 @@
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diff --git a/all_data_tasks/31/default.jsonl b/all_data_tasks/31/default.jsonl
index 3ad680d036f6dbe91b98795fd336ad1550cb5077..364f2543cb3462433bd15f9f4423b2b6716c9b16 100644
--- a/all_data_tasks/31/default.jsonl
+++ b/all_data_tasks/31/default.jsonl
@@ -1,46 +1,53 @@
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+{"index":47,"Rank":14,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":56.88,"GeoreviewClassification":42.33,"HeadlineClassification":70.35,"InappropriatenessClassification":59.32,"KinopoiskClassification":44.31,"RuReviewsClassification":62.33,"RuSciBenchGRNTIClassification":56.01,"RuSciBenchOECDClassification":44.14,"MassiveIntentClassification (ru)":63.23,"MassiveScenarioClassification (ru)":69.92}
+{"index":12,"Rank":15,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":56.45,"GeoreviewClassification":44.66,"HeadlineClassification":73.94,"InappropriatenessClassification":59.16,"KinopoiskClassification":49.96,"RuReviewsClassification":61.18,"RuSciBenchGRNTIClassification":54.99,"RuSciBenchOECDClassification":41.72,"MassiveIntentClassification (ru)":58.65,"MassiveScenarioClassification (ru)":63.77}
+{"index":33,"Rank":16,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":56.44,"GeoreviewClassification":44.66,"HeadlineClassification":73.94,"InappropriatenessClassification":59.16,"KinopoiskClassification":49.96,"RuReviewsClassification":61.18,"RuSciBenchGRNTIClassification":54.99,"RuSciBenchOECDClassification":41.72,"MassiveIntentClassification (ru)":58.43,"MassiveScenarioClassification (ru)":63.89}
+{"index":27,"Rank":17,"Model":"deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.18,"GeoreviewClassification":40.19,"HeadlineClassification":78.75,"InappropriatenessClassification":61.33,"KinopoiskClassification":48.78,"RuReviewsClassification":55.66,"RuSciBenchGRNTIClassification":53.53,"RuSciBenchOECDClassification":41.34,"MassiveIntentClassification (ru)":61.32,"MassiveScenarioClassification (ru)":64.71}
+{"index":6,"Rank":18,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.15,"GeoreviewClassification":38.95,"HeadlineClassification":75.59,"InappropriatenessClassification":60.68,"KinopoiskClassification":49.67,"RuReviewsClassification":54.05,"RuSciBenchGRNTIClassification":48.53,"RuSciBenchOECDClassification":37.65,"MassiveIntentClassification (ru)":63.12,"MassiveScenarioClassification (ru)":68.08}
+{"index":52,"Rank":19,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"Average":55.01,"GeoreviewClassification":41.36,"HeadlineClassification":68.9,"InappropriatenessClassification":59.11,"KinopoiskClassification":50.47,"RuReviewsClassification":60.66,"RuSciBenchGRNTIClassification":52.93,"RuSciBenchOECDClassification":40.79,"MassiveIntentClassification (ru)":57.98,"MassiveScenarioClassification (ru)":62.9}
+{"index":22,"Rank":20,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.98,"GeoreviewClassification":40.89,"HeadlineClassification":68.75,"InappropriatenessClassification":58.48,"KinopoiskClassification":49.85,"RuReviewsClassification":58.01,"RuSciBenchGRNTIClassification":52.8,"RuSciBenchOECDClassification":40.36,"MassiveIntentClassification (ru)":60.53,"MassiveScenarioClassification (ru)":65.15}
+{"index":37,"Rank":21,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.71,"GeoreviewClassification":40.86,"HeadlineClassification":68.75,"InappropriatenessClassification":58.52,"KinopoiskClassification":46.77,"RuReviewsClassification":58.01,"RuSciBenchGRNTIClassification":53.04,"RuSciBenchOECDClassification":40.48,"MassiveIntentClassification (ru)":60.67,"MassiveScenarioClassification (ru)":65.25}
+{"index":46,"Rank":22,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":53.77,"GeoreviewClassification":38.24,"HeadlineClassification":68.3,"InappropriatenessClassification":58.18,"KinopoiskClassification":41.45,"RuReviewsClassification":58.88,"RuSciBenchGRNTIClassification":53.19,"RuSciBenchOECDClassification":41.41,"MassiveIntentClassification (ru)":59.06,"MassiveScenarioClassification (ru)":65.25}
+{"index":24,"Rank":23,"Model":"rubert-tiny2<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":2048,"Max Tokens":514,"Average":52.17,"GeoreviewClassification":39.64,"HeadlineClassification":74.19,"InappropriatenessClassification":58.57,"KinopoiskClassification":49.06,"RuReviewsClassification":56.99,"RuSciBenchGRNTIClassification":45.63,"RuSciBenchOECDClassification":35.48,"MassiveIntentClassification (ru)":50.83,"MassiveScenarioClassification (ru)":59.15}
+{"index":7,"Rank":24,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":51.6,"GeoreviewClassification":37.22,"HeadlineClassification":75.23,"InappropriatenessClassification":57.34,"KinopoiskClassification":49.91,"RuReviewsClassification":50.74,"RuSciBenchGRNTIClassification":48.03,"RuSciBenchOECDClassification":36.13,"MassiveIntentClassification (ru)":53.02,"MassiveScenarioClassification (ru)":56.79}
+{"index":8,"Rank":25,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":51.27,"GeoreviewClassification":38.05,"HeadlineClassification":67.64,"InappropriatenessClassification":58.27,"KinopoiskClassification":45.86,"RuReviewsClassification":58.34,"RuSciBenchGRNTIClassification":52.18,"RuSciBenchOECDClassification":40.11,"MassiveIntentClassification (ru)":49.1,"MassiveScenarioClassification (ru)":51.91}
+{"index":23,"Rank":26,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"Embedding Dimensions":512,"Max Tokens":514,"Average":44.55,"GeoreviewClassification":33.45,"HeadlineClassification":57.65,"InappropriatenessClassification":54.5,"KinopoiskClassification":41.36,"RuReviewsClassification":49.56,"RuSciBenchGRNTIClassification":35.71,"RuSciBenchOECDClassification":26.51,"MassiveIntentClassification (ru)":50.1,"MassiveScenarioClassification (ru)":52.15}
+{"index":40,"Rank":27,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":28.82,"GeoreviewClassification":25.93,"HeadlineClassification":28.53,"InappropriatenessClassification":51.82,"KinopoiskClassification":34.18,"RuReviewsClassification":42.33,"RuSciBenchGRNTIClassification":13.29,"RuSciBenchOECDClassification":10.62,"MassiveIntentClassification (ru)":23.98,"MassiveScenarioClassification (ru)":28.71}
+{"index":39,"Rank":28,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":28.75,"GeoreviewClassification":27.08,"HeadlineClassification":27.77,"InappropriatenessClassification":51.73,"KinopoiskClassification":33.93,"RuReviewsClassification":41.79,"RuSciBenchGRNTIClassification":10.08,"RuSciBenchOECDClassification":8.3,"MassiveIntentClassification (ru)":27.58,"MassiveScenarioClassification (ru)":30.46}
+{"index":38,"Rank":29,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":28.15,"GeoreviewClassification":23.49,"HeadlineClassification":28.49,"InappropriatenessClassification":50.85,"KinopoiskClassification":34.17,"RuReviewsClassification":42.49,"RuSciBenchGRNTIClassification":10.49,"RuSciBenchOECDClassification":8.31,"MassiveIntentClassification (ru)":26.33,"MassiveScenarioClassification (ru)":28.75}
+{"index":0,"Rank":30,"Model":"LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Embedding Dimensions":1024,"Max Tokens":"N\/A","Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":44.29,"MassiveScenarioClassification (ru)":51.84}
+{"index":1,"Rank":31,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":67.46,"MassiveScenarioClassification (ru)":71.65}
+{"index":3,"Rank":32,"Model":"winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":39.69,"MassiveScenarioClassification (ru)":48.66}
+{"index":4,"Rank":33,"Model":"winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":11.27,"MassiveScenarioClassification (ru)":16.71}
+{"index":5,"Rank":34,"Model":"windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":10.4,"MassiveScenarioClassification (ru)":18.96}
+{"index":10,"Rank":35,"Model":"MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":31.82,"MassiveScenarioClassification (ru)":37.73}
+{"index":13,"Rank":37,"Model":"SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":35.97,"MassiveScenarioClassification (ru)":32.76}
+{"index":14,"Rank":38,"Model":"SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":37.46,"MassiveScenarioClassification (ru)":35.95}
+{"index":15,"Rank":39,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":74.16,"MassiveScenarioClassification (ru)":77.71}
+{"index":19,"Rank":40,"Model":"Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":60.85,"MassiveScenarioClassification (ru)":65.42}
+{"index":20,"Rank":41,"Model":"sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":58.32,"MassiveScenarioClassification (ru)":61.6}
+{"index":21,"Rank":42,"Model":"slx-v0.1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":27.14,"MassiveScenarioClassification (ru)":29.95}
+{"index":28,"Rank":43,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":62.63,"MassiveScenarioClassification (ru)":67.96}
+{"index":34,"Rank":44,"Model":"udever-bloom-1b1<\/a>","Model Size (Million Parameters)":1065,"Memory Usage (GB, fp32)":3.97,"Embedding Dimensions":1536,"Max Tokens":2048,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":52.99,"MassiveScenarioClassification (ru)":54.26}
+{"index":35,"Rank":45,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":559,"Memory Usage (GB, fp32)":2.08,"Embedding Dimensions":1024,"Max Tokens":2048,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":47.61,"MassiveScenarioClassification (ru)":49.94}
+{"index":41,"Rank":46,"Model":"allenai-specter<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":25.3,"MassiveScenarioClassification (ru)":28.16}
+{"index":42,"Rank":47,"Model":"average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":"","MassiveScenarioClassification (ru)":""}
+{"index":43,"Rank":48,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":57.96,"MassiveScenarioClassification (ru)":65.41}
+{"index":44,"Rank":49,"Model":"gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":16.82,"MassiveScenarioClassification (ru)":25.85}
+{"index":45,"Rank":50,"Model":"gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":36.58,"MassiveScenarioClassification (ru)":43.44}
+{"index":48,"Rank":51,"Model":"sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":14.82,"MassiveScenarioClassification (ru)":20.69}
+{"index":49,"Rank":52,"Model":"sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":17.32,"MassiveScenarioClassification (ru)":27.47}
+{"index":50,"Rank":53,"Model":"sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":33.46,"MassiveScenarioClassification (ru)":40.73}
+{"index":53,"Rank":54,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","GeoreviewClassification":"","HeadlineClassification":"","InappropriatenessClassification":"","KinopoiskClassification":"","RuReviewsClassification":"","RuSciBenchGRNTIClassification":"","RuSciBenchOECDClassification":"","MassiveIntentClassification (ru)":58.02,"MassiveScenarioClassification (ru)":62.31}
diff --git a/all_data_tasks/32/default.jsonl b/all_data_tasks/32/default.jsonl
index 3bb57fb82a4e7275ebef3151192f330ec6e5f41b..5ed854ec48464e36a7e092da2eb50de7bc9ba760 100644
--- a/all_data_tasks/32/default.jsonl
+++ b/all_data_tasks/32/default.jsonl
@@ -1,40 +1,48 @@
-{"index":30,"Rank":1,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":64.24,"GeoreviewClusteringP2P":76.32,"RuSciBenchGRNTIClusteringP2P":62.27,"RuSciBenchOECDClusteringP2P":54.13}
-{"index":33,"Rank":2,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":63.21,"GeoreviewClusteringP2P":74.34,"RuSciBenchGRNTIClusteringP2P":62.21,"RuSciBenchOECDClusteringP2P":53.09}
-{"index":8,"Rank":3,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":61.91,"GeoreviewClusteringP2P":74.06,"RuSciBenchGRNTIClusteringP2P":60.01,"RuSciBenchOECDClusteringP2P":51.66}
-{"index":37,"Rank":4,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":60.8,"GeoreviewClusteringP2P":73.62,"RuSciBenchGRNTIClusteringP2P":57.99,"RuSciBenchOECDClusteringP2P":50.79}
-{"index":17,"Rank":5,"Model":"ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"Embedding Dimensions":1024,"Max Tokens":514,"Average":56.06,"GeoreviewClusteringP2P":65.42,"RuSciBenchGRNTIClusteringP2P":55.47,"RuSciBenchOECDClusteringP2P":47.29}
-{"index":27,"Rank":6,"Model":"USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":53.61,"GeoreviewClusteringP2P":62.79,"RuSciBenchGRNTIClusteringP2P":53.11,"RuSciBenchOECDClusteringP2P":44.93}
-{"index":26,"Rank":7,"Model":"USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average":53.42,"GeoreviewClusteringP2P":64.16,"RuSciBenchGRNTIClusteringP2P":51.38,"RuSciBenchOECDClusteringP2P":44.73}
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-{"index":1,"Rank":9,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":52.38,"GeoreviewClusteringP2P":63.09,"RuSciBenchGRNTIClusteringP2P":50.83,"RuSciBenchOECDClusteringP2P":43.21}
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-{"index":46,"Rank":47,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","GeoreviewClusteringP2P":"","RuSciBenchGRNTIClusteringP2P":"","RuSciBenchOECDClusteringP2P":""}
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diff --git a/all_data_tasks/33/default.jsonl b/all_data_tasks/33/default.jsonl
index f43627412ec207bafea9b33f2d48abf0859defea..b4117a9ef7dcb4e59952b9ff5668b025bc63a3ed 100644
--- a/all_data_tasks/33/default.jsonl
+++ b/all_data_tasks/33/default.jsonl
@@ -1,40 +1,48 @@
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-{"index":18,"Rank":24,"Model":"sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Embedding Dimensions":1024,"Max Tokens":514,"TERRa":51.97}
-{"index":25,"Rank":25,"Model":"rubert-tiny2<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":2048,"Max Tokens":514,"TERRa":51.87}
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+{"index":48,"Rank":51,"Model":"sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":""}
+{"index":49,"Rank":52,"Model":"sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":""}
+{"index":50,"Rank":53,"Model":"sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":""}
+{"index":53,"Rank":54,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"TERRa":""}
diff --git a/all_data_tasks/34/default.jsonl b/all_data_tasks/34/default.jsonl
index 045a1cca5edf967b273727571069656f11a3a862..ac43cadfd885e53122380e300269a7c5069205aa 100644
--- a/all_data_tasks/34/default.jsonl
+++ b/all_data_tasks/34/default.jsonl
@@ -1,40 +1,48 @@
-{"index":30,"Rank":1,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":69.96,"RuBQReranking":76.32,"MIRACLReranking (ru)":63.61}
-{"index":1,"Rank":2,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":69.7,"RuBQReranking":74.03,"MIRACLReranking (ru)":65.38}
-{"index":32,"Rank":3,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":69.66,"RuBQReranking":75.6,"MIRACLReranking (ru)":63.71}
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diff --git a/all_data_tasks/35/default.jsonl b/all_data_tasks/35/default.jsonl
index 765b53b6f53725d39254b4ffbba84dfc6bb6805a..c9ae04f79120fcb206d6f03145a44faafb9e33e9 100644
--- a/all_data_tasks/35/default.jsonl
+++ b/all_data_tasks/35/default.jsonl
@@ -1,40 +1,48 @@
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diff --git a/all_data_tasks/36/default.jsonl b/all_data_tasks/36/default.jsonl
index 7ec5ad3213e46f2611f449a10500725dc42daa82..a07cda11d4d6389b0c12309f6764ffe66b6e883c 100644
--- a/all_data_tasks/36/default.jsonl
+++ b/all_data_tasks/36/default.jsonl
@@ -1,44 +1,51 @@
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diff --git a/all_data_tasks/37/default.jsonl b/all_data_tasks/37/default.jsonl
index ba47067c31acceb704eb1462c2795f0ba65a92db..ac3ac0fdcfa3f3ce4ab608396ca8d719604f73aa 100644
--- a/all_data_tasks/37/default.jsonl
+++ b/all_data_tasks/37/default.jsonl
@@ -1,40 +1,48 @@
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diff --git a/all_data_tasks/38/default.jsonl b/all_data_tasks/38/default.jsonl
index 2eaa4f27a837ec885e949b2376ededbfeb5fb193..cac88f77a76137c69028c5c49614a6332dcc0925 100644
--- a/all_data_tasks/38/default.jsonl
+++ b/all_data_tasks/38/default.jsonl
@@ -1,47 +1,53 @@
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-{"index":24,"Rank":4,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.92,"MassiveIntentClassification (nb)":59.9,"MassiveScenarioClassification (nb)":65.81,"NoRecClassification":48.25,"NordicLangClassification":48.4,"NorwegianParliament":55.99,"ScalaNbClassification":51.18}
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diff --git a/all_data_tasks/39/default.jsonl b/all_data_tasks/39/default.jsonl
index a5af5bdf130cb9c9b8990cea920f44f0ceb6e9d3..9a80f3982798f5dd77f7677aaa8d4dadc9ba52c3 100644
--- a/all_data_tasks/39/default.jsonl
+++ b/all_data_tasks/39/default.jsonl
@@ -1,113 +1,155 @@
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diff --git a/all_data_tasks/4/default.jsonl b/all_data_tasks/4/default.jsonl
index a262ad302862c5acd1e20e4a2f62bf6af9d9816e..fca30aac3b775dac59a46168dc718b6963af99e6 100644
--- a/all_data_tasks/4/default.jsonl
+++ b/all_data_tasks/4/default.jsonl
@@ -1,283 +1,272 @@
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+{"index":221,"Rank":1,"Model":"NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":62.65,"ArguAna":70.07,"ClimateFEVER":45.39,"CQADupstackRetrieval":50.24,"DBPedia":53.5,"FEVER":93.75,"FiQA2018":65.73,"HotpotQA":85.48,"MSMARCO":45.63,"NFCorpus":45.17,"NQ":73.57,"QuoraRetrieval":89.03,"SCIDOCS":21.9,"SciFact":80.13,"Touche2020":31.78,"TRECCOVID":88.44}
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diff --git a/all_data_tasks/40/default.jsonl b/all_data_tasks/40/default.jsonl
index 6596a28f1ebc08ae55e167c7f290db2872097e15..7225aca41deb8b453c060da6d925c1747cb734d7 100644
--- a/all_data_tasks/40/default.jsonl
+++ b/all_data_tasks/40/default.jsonl
@@ -1,287 +1,280 @@
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-{"index":22,"Rank":47,"Model":"bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.42}
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-{"index":27,"Rank":52,"Model":"bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.86}
-{"index":28,"Rank":53,"Model":"Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.58}
-{"index":29,"Rank":54,"Model":"Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.55}
-{"index":30,"Rank":55,"Model":"Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.46}
-{"index":31,"Rank":56,"Model":"Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.79}
-{"index":32,"Rank":57,"Model":"sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":33.88,"STSBenchmark":""}
-{"index":33,"Rank":58,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":51.87,"STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
-{"index":34,"Rank":59,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":34.98,"STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
-{"index":35,"Rank":60,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":51.27,"STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
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-{"index":84,"Rank":102,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.38}
-{"index":85,"Rank":103,"Model":"Arabert-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":83.16,"STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":58.29,"STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":61.59}
-{"index":86,"Rank":104,"Model":"Arabic-MiniLM-L12-v2-all-nli-triplet<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","STS17 (ar-ar)":81.11,"STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":52.41,"STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.35}
-{"index":87,"Rank":105,"Model":"Arabic-Triplet-Matryoshka-V2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":85.31,"STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
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-{"index":89,"Rank":107,"Model":"Arabic-labse-Matryoshka<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":82.47,"STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":57.26,"STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":82.05}
-{"index":90,"Rank":108,"Model":"Arabic-mpnet-base-all-nli-triplet<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","STS17 (ar-ar)":79.93,"STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":52.44,"STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":67.56}
-{"index":91,"Rank":109,"Model":"GATE-AraBert-v1<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":82.78,"STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":59.75,"STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
-{"index":92,"Rank":110,"Model":"Marbert-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":82.18,"STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":58.08,"STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":61.17}
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-{"index":257,"Rank":258,"Model":"nmc-300-w75k-b10k<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":75.84}
-{"index":258,"Rank":259,"Model":"nmc-nignore15<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":77.27}
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-{"index":266,"Rank":267,"Model":"b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":82.69}
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-{"index":268,"Rank":269,"Model":"jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.84}
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-{"index":270,"Rank":271,"Model":"new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.92}
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-{"index":272,"Rank":273,"Model":"gte-large-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.4}
-{"index":273,"Rank":274,"Model":"gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.45}
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-{"index":275,"Rank":276,"Model":"Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.28}
-{"index":276,"Rank":277,"Model":"bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":70.01,"STSBenchmark":85.99}
-{"index":277,"Rank":278,"Model":"nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.47}
-{"index":278,"Rank":279,"Model":"text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.78}
-{"index":279,"Rank":280,"Model":"text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.32}
-{"index":280,"Rank":281,"Model":"text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.02}
-{"index":281,"Rank":282,"Model":"text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.08}
-{"index":282,"Rank":283,"Model":"text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.17}
-{"index":283,"Rank":284,"Model":"text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":82.34}
-{"index":284,"Rank":285,"Model":"text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.56}
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diff --git a/all_data_tasks/5/default.jsonl b/all_data_tasks/5/default.jsonl
index 89642e11bad3ff5775454f2022f44d3ab637b4e5..902ab96d00c21bc9b1aafa1f0a39167fcb9790d5 100644
--- a/all_data_tasks/5/default.jsonl
+++ b/all_data_tasks/5/default.jsonl
@@ -1,294 +1,283 @@
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-{"index":194,"Rank":3,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":85.81,"BIOSSES":88.69,"SICK-R":89.62,"STS12":82.44,"STS13":89.49,"STS14":84.95,"STS15":89.31,"STS16":86.85,"STS17 (en-en)":90.0,"STS22 (en)":67.28,"STSBenchmark":89.44}
-{"index":105,"Rank":4,"Model":"SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":85.05,"BIOSSES":86.07,"SICK-R":82.92,"STS12":79.47,"STS13":89.15,"STS14":84.93,"STS15":90.74,"STS16":87.82,"STS17 (en-en)":92.02,"STS22 (en)":68.36,"STSBenchmark":89.0}
-{"index":281,"Rank":5,"Model":"b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.04,"BIOSSES":89.15,"SICK-R":82.83,"STS12":78.65,"STS13":90.0,"STS14":84.97,"STS15":89.81,"STS16":86.71,"STS17 (en-en)":89.8,"STS22 (en)":69.67,"STSBenchmark":88.77}
-{"index":178,"Rank":6,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.03,"BIOSSES":87.46,"SICK-R":81.73,"STS12":82.53,"STS13":88.05,"STS14":84.83,"STS15":91.02,"STS16":87.32,"STS17 (en-en)":90.33,"STS22 (en)":68.67,"STSBenchmark":88.39}
-{"index":208,"Rank":7,"Model":"mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.0,"BIOSSES":88.41,"SICK-R":82.92,"STS12":78.76,"STS13":90.35,"STS14":85.46,"STS15":89.62,"STS16":86.58,"STS17 (en-en)":89.5,"STS22 (en)":69.34,"STSBenchmark":89.1}
-{"index":153,"Rank":8,"Model":"mxbai-embed-large-v1-Q6_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.0,"BIOSSES":88.41,"SICK-R":82.92,"STS12":78.76,"STS13":90.35,"STS14":85.46,"STS15":89.62,"STS16":86.58,"STS17 (en-en)":89.5,"STS22 (en)":69.34,"STSBenchmark":89.1}
-{"index":58,"Rank":9,"Model":"MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.99,"BIOSSES":88.38,"SICK-R":83.0,"STS12":79.22,"STS13":89.43,"STS14":84.79,"STS15":89.54,"STS16":86.69,"STS17 (en-en)":89.64,"STS22 (en)":70.26,"STSBenchmark":88.96}
-{"index":63,"Rank":10,"Model":"Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"BIOSSES":86.4,"SICK-R":84.31,"STS12":78.44,"STS13":88.27,"STS14":84.49,"STS15":90.28,"STS16":87.37,"STS17 (en-en)":92.68,"STS22 (en)":68.62,"STSBenchmark":88.81}
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-{"index":233,"Rank":12,"Model":"TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.82,"BIOSSES":87.28,"SICK-R":82.33,"STS12":79.7,"STS13":89.21,"STS14":86.01,"STS15":89.7,"STS16":87.68,"STS17 (en-en)":88.03,"STS22 (en)":70.16,"STSBenchmark":88.15}
-{"index":93,"Rank":13,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.78,"BIOSSES":86.96,"SICK-R":81.73,"STS12":82.57,"STS13":87.15,"STS14":84.97,"STS15":91.05,"STS16":87.31,"STS17 (en-en)":90.03,"STS22 (en)":67.63,"STSBenchmark":88.38}
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-{"index":291,"Rank":20,"Model":"Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.24,"BIOSSES":86.44,"SICK-R":81.88,"STS12":78.64,"STS13":87.12,"STS14":83.55,"STS15":90.1,"STS16":87.22,"STS17 (en-en)":91.43,"STS22 (en)":67.76,"STSBenchmark":88.28}
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diff --git a/all_data_tasks/6/default.jsonl b/all_data_tasks/6/default.jsonl
index 074687eb5372aaa60baee90487777c733ad9c388..6301827bc70de043f63d134c777663b071cbbce5 100644
--- a/all_data_tasks/6/default.jsonl
+++ b/all_data_tasks/6/default.jsonl
@@ -1,282 +1,271 @@
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diff --git a/all_data_tasks/7/default.jsonl b/all_data_tasks/7/default.jsonl
index 791c2ba8f1880181c65dcecdbd3847017cf8dabd..babda50a0d5af7ac6522a9e2f8953aeaf7a67e9d 100644
--- a/all_data_tasks/7/default.jsonl
+++ b/all_data_tasks/7/default.jsonl
@@ -1,43 +1,47 @@
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diff --git a/all_data_tasks/8/default.jsonl b/all_data_tasks/8/default.jsonl
index 5be1ec6d6d61c1ffea4b8f8fc8d97c67726de884..0619948f52267d8e24ce884463b1db1e673e4bed 100644
--- a/all_data_tasks/8/default.jsonl
+++ b/all_data_tasks/8/default.jsonl
@@ -1,290 +1,287 @@
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{"index":50,"Rank":8,"Model":"IYun-large-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.18,"AmazonReviewsClassification (zh)":49.67,"IFlyTek":52.64,"JDReview":87.6,"MassiveIntentClassification (zh-CN)":77.43,"MassiveScenarioClassification (zh-CN)":83.87,"MultilingualSentiment":78.48,"OnlineShopping":94.34,"TNews":54.37,"Waimai":89.23}
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diff --git a/all_data_tasks/9/default.jsonl b/all_data_tasks/9/default.jsonl
index eeab59e032b28797c48981f17c1bbc51cf532547..f604986a43f3b5f100b9a7cf3ec1bd31cba74835 100644
--- a/all_data_tasks/9/default.jsonl
+++ b/all_data_tasks/9/default.jsonl
@@ -1,72 +1,72 @@
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{"index":50,"Rank":3,"Model":"IYun-large-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":66.35,"CLSClusteringP2P":60.2,"CLSClusteringS2S":58.4,"ThuNewsClusteringP2P":76.98,"ThuNewsClusteringS2S":69.83}
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{"index":35,"Rank":10,"Model":"Yinka<\/a>","Model Size (Million Parameters)":164,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1792,"Max Tokens":512,"Average":61.98,"CLSClusteringP2P":56.35,"CLSClusteringS2S":48.49,"ThuNewsClusteringP2P":74.55,"ThuNewsClusteringS2S":68.55}
{"index":30,"Rank":11,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":59.3,"CLSClusteringP2P":54.65,"CLSClusteringS2S":63.68,"ThuNewsClusteringP2P":64.32,"ThuNewsClusteringS2S":54.57}
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{"index":44,"Rank":26,"Model":"Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Embedding Dimensions":768,"Max Tokens":1024,"Average":50.8,"CLSClusteringP2P":40.79,"CLSClusteringS2S":38.43,"ThuNewsClusteringP2P":65.15,"ThuNewsClusteringS2S":58.82}
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{"index":27,"Rank":29,"Model":"bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":50.01,"CLSClusteringP2P":41.23,"CLSClusteringS2S":40.04,"ThuNewsClusteringP2P":62.03,"ThuNewsClusteringS2S":56.75}
{"index":51,"Rank":30,"Model":"mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":49.48,"CLSClusteringP2P":39.51,"CLSClusteringS2S":38.0,"ThuNewsClusteringP2P":62.57,"ThuNewsClusteringS2S":57.84}
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{"index":28,"Rank":35,"Model":"bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":48.99,"CLSClusteringP2P":41.44,"CLSClusteringS2S":38.33,"ThuNewsClusteringP2P":59.61,"ThuNewsClusteringS2S":56.58}
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@@ -102,187 +102,185 @@
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diff --git a/boards_data/da/data_tasks/Classification/default.jsonl b/boards_data/da/data_tasks/Classification/default.jsonl
index 13a91833496fc1487d52414400e627c2408b7889..9b7759afff13d6b51ab22e3d35b48d949b93757b 100644
--- a/boards_data/da/data_tasks/Classification/default.jsonl
+++ b/boards_data/da/data_tasks/Classification/default.jsonl
@@ -1,47 +1,53 @@
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-{"index":24,"Rank":4,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.03,"AngryTweetsClassification":49.62,"DKHateClassification":69.97,"DanishPoliticalCommentsClassification":37.59,"LccSentimentClassification":54.27,"MassiveIntentClassification (da)":62.03,"MassiveScenarioClassification (da)":67.76,"NordicLangClassification":48.4,"ScalaDaClassification":50.63}
-{"index":40,"Rank":5,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.44,"AngryTweetsClassification":42.48,"DKHateClassification":55.05,"DanishPoliticalCommentsClassification":26.7,"LccSentimentClassification":38.53,"MassiveIntentClassification (da)":41.0,"MassiveScenarioClassification (da)":47.02,"NordicLangClassification":54.7,"ScalaDaClassification":50.03}
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-{"index":1,"Rank":7,"Model":"winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","AngryTweetsClassification":46.17,"DKHateClassification":55.9,"DanishPoliticalCommentsClassification":28.33,"LccSentimentClassification":42.27,"MassiveIntentClassification (da)":40.37,"MassiveScenarioClassification (da)":49.35,"NordicLangClassification":"","ScalaDaClassification":50.11}
-{"index":2,"Rank":8,"Model":"winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":31.47,"MassiveScenarioClassification (da)":39.79,"NordicLangClassification":"","ScalaDaClassification":""}
-{"index":3,"Rank":9,"Model":"windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":35.53,"MassiveScenarioClassification (da)":42.65,"NordicLangClassification":"","ScalaDaClassification":""}
-{"index":4,"Rank":10,"Model":"xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","AngryTweetsClassification":52.41,"DKHateClassification":56.78,"DanishPoliticalCommentsClassification":34.03,"LccSentimentClassification":52.27,"MassiveIntentClassification (da)":"","MassiveScenarioClassification (da)":"","NordicLangClassification":79.39,"ScalaDaClassification":57.3}
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diff --git a/boards_data/de/data_tasks/Clustering/default.jsonl b/boards_data/de/data_tasks/Clustering/default.jsonl
index bda1c23ca8d89a7e290f8fda76516a73607b0450..620e15895b7ce70b4d5692c5e853ba83827d9d65 100644
--- a/boards_data/de/data_tasks/Clustering/default.jsonl
+++ b/boards_data/de/data_tasks/Clustering/default.jsonl
@@ -1,9 +1,9 @@
{"index":13,"Rank":1,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":36.54,"BlurbsClusteringP2P":41.63,"BlurbsClusteringS2S":21.0,"TenKGnadClusteringP2P":43.76,"TenKGnadClusteringS2S":39.76}
{"index":8,"Rank":2,"Model":"gbert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average":32.34,"BlurbsClusteringP2P":39.3,"BlurbsClusteringS2S":13.38,"TenKGnadClusteringP2P":41.69,"TenKGnadClusteringS2S":34.97}
{"index":19,"Rank":3,"Model":"sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":29.74,"BlurbsClusteringP2P":39.91,"BlurbsClusteringS2S":15.94,"TenKGnadClusteringP2P":43.43,"TenKGnadClusteringS2S":19.69}
-{"index":12,"Rank":4,"Model":"jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
-{"index":2,"Rank":5,"Model":"jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
-{"index":6,"Rank":6,"Model":"jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
+{"index":2,"Rank":4,"Model":"jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
+{"index":6,"Rank":5,"Model":"jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
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{"index":5,"Rank":7,"Model":"German_Semantic_STS_V2<\/a>","Model Size (Million Parameters)":336,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":29.5,"BlurbsClusteringP2P":38.68,"BlurbsClusteringS2S":17.62,"TenKGnadClusteringP2P":38.0,"TenKGnadClusteringS2S":23.71}
{"index":18,"Rank":8,"Model":"sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":27.49,"BlurbsClusteringP2P":35.33,"BlurbsClusteringS2S":13.27,"TenKGnadClusteringP2P":44.11,"TenKGnadClusteringS2S":17.26}
{"index":16,"Rank":9,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":27.04,"BlurbsClusteringP2P":34.38,"BlurbsClusteringS2S":15.81,"TenKGnadClusteringP2P":35.96,"TenKGnadClusteringS2S":22.0}
diff --git a/boards_data/en-x/data_tasks/BitextMining/default.jsonl b/boards_data/en-x/data_tasks/BitextMining/default.jsonl
index 791c2ba8f1880181c65dcecdbd3847017cf8dabd..babda50a0d5af7ac6522a9e2f8953aeaf7a67e9d 100644
--- a/boards_data/en-x/data_tasks/BitextMining/default.jsonl
+++ b/boards_data/en-x/data_tasks/BitextMining/default.jsonl
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diff --git a/boards_data/en/data_overall/default.jsonl b/boards_data/en/data_overall/default.jsonl
index bb41a030926b0162c0c89643ec0f886b0200d344..21232d298601d2499f0aa4e980f9d461fe72b7fb 100644
--- a/boards_data/en/data_overall/default.jsonl
+++ b/boards_data/en/data_overall/default.jsonl
@@ -1,296 +1,285 @@
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-{"index":13,"Rank":135,"Model":"llm2vec-croissant-mntp<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
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-{"index":28,"Rank":139,"Model":"winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":31.67,"PairClassification Average (3 datasets)":76.96,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
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-{"index":55,"Rank":158,"Model":"gemma-2b-embeddings<\/a>","Model Size (Million Parameters)":2506,"Memory Usage (GB, fp32)":9.34,"Embedding Dimensions":2048,"Max Tokens":8192,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
-{"index":56,"Rank":159,"Model":"e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":75.24,"Clustering Average (11 datasets)":44.49,"PairClassification Average (3 datasets)":86.03,"Reranking Average (4 datasets)":56.61,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":82.05,"Summarization Average (1 datasets)":30.19}
-{"index":59,"Rank":160,"Model":"bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":71.14,"Clustering Average (11 datasets)":42.03,"PairClassification Average (3 datasets)":85.0,"Reranking Average (4 datasets)":55.4,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":83.0,"Summarization Average (1 datasets)":30.26}
-{"index":60,"Rank":161,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":72.95,"Clustering Average (11 datasets)":44.62,"PairClassification Average (3 datasets)":85.61,"Reranking Average (4 datasets)":56.26,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":86.02,"Summarization Average (1 datasets)":31.14}
-{"index":61,"Rank":162,"Model":"bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
-{"index":62,"Rank":163,"Model":"bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":67.77,"Clustering Average (11 datasets)":39.16,"PairClassification Average (3 datasets)":82.95,"Reranking Average (4 datasets)":53.37,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":81.93,"Summarization Average (1 datasets)":29.23}
-{"index":64,"Rank":164,"Model":"jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":67.98,"Clustering Average (11 datasets)":38.99,"PairClassification Average (3 datasets)":83.65,"Reranking Average (4 datasets)":54.64,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":82.61,"Summarization Average (1 datasets)":31.55}
-{"index":65,"Rank":165,"Model":"paraphrase-multilingual-mpnet-base-v2-KE_Sieve<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":64.85,"Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":74.53,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":75.11,"Summarization Average (1 datasets)":""}
-{"index":66,"Rank":166,"Model":"marqo-chimera-arctic-bge-m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":55.16,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
-{"index":68,"Rank":167,"Model":"LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":45.24,"PairClassification Average (3 datasets)":88.03,"Reranking Average (4 datasets)":57.38,"Retrieval Average (15 datasets)":54.6,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":28.49}
-{"index":69,"Rank":168,"Model":"LLM2Vec-Llama-2-unsupervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":40.83,"PairClassification Average (3 datasets)":77.88,"Reranking Average (4 datasets)":52.95,"Retrieval Average (15 datasets)":36.75,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":31.38}
-{"index":70,"Rank":169,"Model":"LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":46.45,"PairClassification Average (3 datasets)":87.79,"Reranking Average (4 datasets)":59.68,"Retrieval Average (15 datasets)":56.63,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":30.94}
-{"index":71,"Rank":170,"Model":"LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":41.99,"PairClassification Average (3 datasets)":78.01,"Reranking Average (4 datasets)":53.09,"Retrieval Average (15 datasets)":39.19,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":31.45}
-{"index":72,"Rank":171,"Model":"LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":45.54,"PairClassification Average (3 datasets)":87.99,"Reranking Average (4 datasets)":58.42,"Retrieval Average (15 datasets)":55.99,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":29.96}
-{"index":73,"Rank":172,"Model":"LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":40.63,"PairClassification Average (3 datasets)":80.94,"Reranking Average (4 datasets)":53.98,"Retrieval Average (15 datasets)":38.05,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":30.19}
-{"index":74,"Rank":173,"Model":"LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":43.57,"PairClassification Average (3 datasets)":86.21,"Reranking Average (4 datasets)":55.38,"Retrieval Average (15 datasets)":51.44,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":30.01}
-{"index":75,"Rank":174,"Model":"LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":37.45,"PairClassification Average (3 datasets)":72.21,"Reranking Average (4 datasets)":47.7,"Retrieval Average (15 datasets)":25.93,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":31.23}
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-{"index":153,"Rank":216,"Model":"mxbai-embed-large-v1-Q6_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":75.64,"Clustering Average (11 datasets)":46.71,"PairClassification Average (3 datasets)":87.2,"Reranking Average (4 datasets)":60.11,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":85.0,"Summarization Average (1 datasets)":32.71}
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-{"index":159,"Rank":218,"Model":"flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
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-{"index":162,"Rank":221,"Model":"bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
-{"index":163,"Rank":222,"Model":"bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
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-{"index":181,"Rank":225,"Model":"silver-retriever-base-v1<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
-{"index":190,"Rank":226,"Model":"jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":"","Classification Average (12 datasets)":67.98,"Clustering Average (11 datasets)":38.99,"PairClassification Average (3 datasets)":83.65,"Reranking Average (4 datasets)":54.64,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":82.61,"Summarization Average (1 datasets)":31.55}
-{"index":192,"Rank":227,"Model":"jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":"","Classification Average (12 datasets)":69.02,"Clustering Average (11 datasets)":39.29,"PairClassification Average (3 datasets)":84.56,"Reranking Average (4 datasets)":55.32,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":83.49,"Summarization Average (1 datasets)":29.87}
-{"index":201,"Rank":228,"Model":"bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
-{"index":202,"Rank":229,"Model":"sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
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-{"index":265,"Rank":277,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":256,"Average (56 datasets)":"","Classification Average (12 datasets)":62.23,"Clustering Average (11 datasets)":30.61,"PairClassification Average (3 datasets)":76.49,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":80.24,"Summarization Average (1 datasets)":30.1}
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-{"index":277,"Rank":281,"Model":"universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":64.45,"Clustering Average (11 datasets)":35.71,"PairClassification Average (3 datasets)":76.23,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":72.04,"Summarization Average (1 datasets)":29.42}
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+{"index":230,"Rank":260,"Model":"bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":75.97,"Clustering Average (11 datasets)":46.08,"PairClassification Average (3 datasets)":87.12,"Reranking Average (4 datasets)":60.03,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":83.11,"Summarization Average (1 datasets)":31.61}
+{"index":231,"Rank":261,"Model":"mmlw-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":232,"Rank":262,"Model":"mmlw-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":233,"Rank":263,"Model":"mmlw-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
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+{"index":235,"Rank":265,"Model":"mmlw-roberta-large<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":236,"Rank":266,"Model":"st-polish-paraphrase-from-distilroberta<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":237,"Rank":267,"Model":"st-polish-paraphrase-from-mpnet<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":245,"Rank":268,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":64.67,"Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":78.3,"Reranking Average (4 datasets)":48.82,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":75.6,"Summarization Average (1 datasets)":""}
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+{"index":258,"Rank":270,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":259,"Rank":271,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":23.75,"PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":260,"Rank":272,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":256,"Average (56 datasets)":"","Classification Average (12 datasets)":62.23,"Clustering Average (11 datasets)":30.61,"PairClassification Average (3 datasets)":76.49,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":80.24,"Summarization Average (1 datasets)":30.1}
+{"index":261,"Rank":273,"Model":"ret-phi2-v0<\/a>","Model Size (Million Parameters)":2649,"Memory Usage (GB, fp32)":9.87,"Embedding Dimensions":2560,"Max Tokens":2048,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":50.78,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":262,"Rank":274,"Model":"Angle_BERT<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":66.01,"Clustering Average (11 datasets)":33.47,"PairClassification Average (3 datasets)":77.75,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":266,"Rank":275,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":41.73,"Clustering Average (11 datasets)":18.0,"PairClassification Average (3 datasets)":30.61,"Reranking Average (4 datasets)":34.44,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":39.1,"Summarization Average (1 datasets)":""}
+{"index":267,"Rank":276,"Model":"universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":64.45,"Clustering Average (11 datasets)":35.71,"PairClassification Average (3 datasets)":76.23,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":72.04,"Summarization Average (1 datasets)":29.42}
+{"index":268,"Rank":277,"Model":"universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":67.9,"Clustering Average (11 datasets)":37.82,"PairClassification Average (3 datasets)":79.53,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":74.05,"Summarization Average (1 datasets)":29.01}
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+{"index":270,"Rank":279,"Model":"universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":65.78,"Clustering Average (11 datasets)":35.06,"PairClassification Average (3 datasets)":79.62,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":75.35,"Summarization Average (1 datasets)":29.71}
+{"index":272,"Rank":280,"Model":"b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":43.43,"PairClassification Average (3 datasets)":82.83,"Reranking Average (4 datasets)":54.29,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":30.57}
+{"index":273,"Rank":281,"Model":"b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":0.41,"PairClassification Average (3 datasets)":0.79,"Reranking Average (4 datasets)":0.53,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":0.29}
+{"index":274,"Rank":282,"Model":"jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":73.45,"Clustering Average (11 datasets)":41.73,"PairClassification Average (3 datasets)":85.38,"Reranking Average (4 datasets)":56.98,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":80.7,"Summarization Average (1 datasets)":31.6}
+{"index":275,"Rank":283,"Model":"bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":276,"Rank":284,"Model":"new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":40.54,"PairClassification Average (3 datasets)":85.41,"Reranking Average (4 datasets)":54.46,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":80.59,"Summarization Average (1 datasets)":29.78}
+{"index":277,"Rank":285,"Model":"gte-large-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":84.69,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":82.88,"Summarization Average (1 datasets)":""}
+{"index":278,"Rank":286,"Model":"gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":83.58,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":81.9,"Summarization Average (1 datasets)":""}
+{"index":279,"Rank":287,"Model":"gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":71.7,"Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":83.09,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":81.5,"Summarization Average (1 datasets)":""}
+{"index":281,"Rank":288,"Model":"bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":79.66,"Summarization Average (1 datasets)":""}
+{"index":282,"Rank":289,"Model":"nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":73.55,"Clustering Average (11 datasets)":43.93,"PairClassification Average (3 datasets)":84.61,"Reranking Average (4 datasets)":55.78,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":81.94,"Summarization Average (1 datasets)":30.4}
+{"index":283,"Rank":290,"Model":"text-search-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":284,"Rank":291,"Model":"text-search-ada-doc-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":285,"Rank":292,"Model":"text-search-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":286,"Rank":293,"Model":"text-search-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":287,"Rank":294,"Model":"text-search-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":289,"Rank":295,"Model":"text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":77.46,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":290,"Rank":296,"Model":"text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":77.79,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
+{"index":291,"Rank":297,"Model":"text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":75.9,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
diff --git a/boards_data/en/data_tasks/Classification/default.jsonl b/boards_data/en/data_tasks/Classification/default.jsonl
index 6375a709d8afce81c06794f9f65f84fcd8e0e3cb..c7bcec2368e25d7b70ee989901177d6db782a2d8 100644
--- a/boards_data/en/data_tasks/Classification/default.jsonl
+++ b/boards_data/en/data_tasks/Classification/default.jsonl
@@ -1,295 +1,284 @@
-{"index":226,"Rank":1,"Model":"NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":90.37,"AmazonCounterfactualClassification (en)":94.28,"AmazonPolarityClassification":97.74,"AmazonReviewsClassification (en)":63.96,"Banking77Classification":92.42,"EmotionClassification":93.38,"ImdbClassification":97.14,"MassiveIntentClassification (en)":86.1,"MassiveScenarioClassification (en)":92.17,"MTOPDomainClassification (en)":99.25,"MTOPIntentClassification (en)":94.37,"ToxicConversationsClassification":92.74,"TweetSentimentExtractionClassification":80.87}
-{"index":104,"Rank":2,"Model":"SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":89.05,"AmazonCounterfactualClassification (en)":92.72,"AmazonPolarityClassification":97.31,"AmazonReviewsClassification (en)":61.04,"Banking77Classification":90.02,"EmotionClassification":93.37,"ImdbClassification":96.8,"MassiveIntentClassification (en)":85.97,"MassiveScenarioClassification (en)":90.61,"MTOPDomainClassification (en)":98.58,"MTOPIntentClassification (en)":91.3,"ToxicConversationsClassification":91.14,"TweetSentimentExtractionClassification":79.7}
+{"index":221,"Rank":1,"Model":"NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":90.37,"AmazonCounterfactualClassification (en)":94.28,"AmazonPolarityClassification":97.74,"AmazonReviewsClassification (en)":63.96,"Banking77Classification":92.42,"EmotionClassification":93.38,"ImdbClassification":97.14,"MassiveIntentClassification (en)":86.1,"MassiveScenarioClassification (en)":92.17,"MTOPDomainClassification (en)":99.25,"MTOPIntentClassification (en)":94.37,"ToxicConversationsClassification":92.74,"TweetSentimentExtractionClassification":80.87}
+{"index":102,"Rank":2,"Model":"SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":89.05,"AmazonCounterfactualClassification (en)":92.72,"AmazonPolarityClassification":97.31,"AmazonReviewsClassification (en)":61.04,"Banking77Classification":90.02,"EmotionClassification":93.37,"ImdbClassification":96.8,"MassiveIntentClassification (en)":85.97,"MassiveScenarioClassification (en)":90.61,"MTOPDomainClassification (en)":98.58,"MTOPIntentClassification (en)":91.3,"ToxicConversationsClassification":91.14,"TweetSentimentExtractionClassification":79.7}
{"index":22,"Rank":3,"Model":"bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.95,"AmazonCounterfactualClassification (en)":93.15,"AmazonPolarityClassification":96.98,"AmazonReviewsClassification (en)":61.46,"Banking77Classification":91.49,"EmotionClassification":93.36,"ImdbClassification":96.91,"MassiveIntentClassification (en)":82.93,"MassiveScenarioClassification (en)":85.6,"MTOPDomainClassification (en)":98.42,"MTOPIntentClassification (en)":94.0,"ToxicConversationsClassification":93.17,"TweetSentimentExtractionClassification":79.93}
{"index":25,"Rank":4,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":88.08,"AmazonCounterfactualClassification (en)":89.48,"AmazonPolarityClassification":96.9,"AmazonReviewsClassification (en)":61.6,"Banking77Classification":92.53,"EmotionClassification":92.97,"ImdbClassification":96.66,"MassiveIntentClassification (en)":82.05,"MassiveScenarioClassification (en)":84.4,"MTOPDomainClassification (en)":98.61,"MTOPIntentClassification (en)":95.51,"ToxicConversationsClassification":87.34,"TweetSentimentExtractionClassification":78.86}
-{"index":155,"Rank":5,"Model":"stella_en_1.5B_v5<\/a>","Model Size (Million Parameters)":1543,"Memory Usage (GB, fp32)":5.75,"Embedding Dimensions":8192,"Max Tokens":131072,"Average":87.63,"AmazonCounterfactualClassification (en)":92.87,"AmazonPolarityClassification":97.16,"AmazonReviewsClassification (en)":59.36,"Banking77Classification":89.79,"EmotionClassification":84.29,"ImdbClassification":96.66,"MassiveIntentClassification (en)":85.83,"MassiveScenarioClassification (en)":90.2,"MTOPDomainClassification (en)":99.01,"MTOPIntentClassification (en)":92.78,"ToxicConversationsClassification":88.76,"TweetSentimentExtractionClassification":74.84}
-{"index":225,"Rank":6,"Model":"NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.35,"AmazonCounterfactualClassification (en)":95.12,"AmazonPolarityClassification":97.14,"AmazonReviewsClassification (en)":55.47,"Banking77Classification":90.34,"EmotionClassification":91.7,"ImdbClassification":97.06,"MassiveIntentClassification (en)":80.07,"MassiveScenarioClassification (en)":81.74,"MTOPDomainClassification (en)":96.51,"MTOPIntentClassification (en)":89.77,"ToxicConversationsClassification":92.6,"TweetSentimentExtractionClassification":80.64}
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diff --git a/boards_data/en/data_tasks/Clustering/default.jsonl b/boards_data/en/data_tasks/Clustering/default.jsonl
index 79cbdd5fc3ea873ecce8500511b8b07b8e1a2865..9e214332ee44f9c19a9a8ea7528354fa922c4d07 100644
--- a/boards_data/en/data_tasks/Clustering/default.jsonl
+++ b/boards_data/en/data_tasks/Clustering/default.jsonl
@@ -1,290 +1,279 @@
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diff --git a/boards_data/en/data_tasks/PairClassification/default.jsonl b/boards_data/en/data_tasks/PairClassification/default.jsonl
index d285e375d754d985e730bd60cbbc904449f6de18..e00b256826efe7b1eff981a274e4d886ba361635 100644
--- a/boards_data/en/data_tasks/PairClassification/default.jsonl
+++ b/boards_data/en/data_tasks/PairClassification/default.jsonl
@@ -1,295 +1,284 @@
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diff --git a/boards_data/en/data_tasks/Reranking/default.jsonl b/boards_data/en/data_tasks/Reranking/default.jsonl
index c6496097cd6c4009e308771490dd1884c2a164de..46fa1750807793c83a1978d654e7765600e81788 100644
--- a/boards_data/en/data_tasks/Reranking/default.jsonl
+++ b/boards_data/en/data_tasks/Reranking/default.jsonl
@@ -1,288 +1,277 @@
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diff --git a/boards_data/en/data_tasks/Retrieval/default.jsonl b/boards_data/en/data_tasks/Retrieval/default.jsonl
index a262ad302862c5acd1e20e4a2f62bf6af9d9816e..fca30aac3b775dac59a46168dc718b6963af99e6 100644
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diff --git a/boards_data/en/data_tasks/STS/default.jsonl b/boards_data/en/data_tasks/STS/default.jsonl
index 89642e11bad3ff5775454f2022f44d3ab637b4e5..902ab96d00c21bc9b1aafa1f0a39167fcb9790d5 100644
--- a/boards_data/en/data_tasks/STS/default.jsonl
+++ b/boards_data/en/data_tasks/STS/default.jsonl
@@ -1,294 +1,283 @@
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diff --git a/boards_data/en/data_tasks/Summarization/default.jsonl b/boards_data/en/data_tasks/Summarization/default.jsonl
index 074687eb5372aaa60baee90487777c733ad9c388..6301827bc70de043f63d134c777663b071cbbce5 100644
--- a/boards_data/en/data_tasks/Summarization/default.jsonl
+++ b/boards_data/en/data_tasks/Summarization/default.jsonl
@@ -1,282 +1,271 @@
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diff --git a/boards_data/fr/data_overall/default.jsonl b/boards_data/fr/data_overall/default.jsonl
index 04547c49a05748fbc3001accca5e2c6198bac28e..c0aa1a76acf35ece688da465b298b80ff067eda5 100644
--- a/boards_data/fr/data_overall/default.jsonl
+++ b/boards_data/fr/data_overall/default.jsonl
@@ -1,82 +1,86 @@
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{"index":9,"Rank":2,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average (26 datasets)":68.25,"Classification Average (6 datasets)":81.76,"Clustering Average (7 datasets)":55.56,"PairClassification Average (2 datasets)":90.43,"Reranking Average (2 datasets)":78.7,"Retrieval Average (5 datasets)":55.65,"STS Average (3 datasets)":82.31,"Summarization Average (1 datasets)":31.45}
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-{"index":35,"Rank":44,"Model":"SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
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-{"index":38,"Rank":47,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
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-{"index":46,"Rank":53,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
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-{"index":48,"Rank":55,"Model":"sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":72.89,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":30.88}
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-{"index":50,"Rank":57,"Model":"deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
-{"index":52,"Rank":59,"Model":"flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":45.34,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":31.26}
-{"index":53,"Rank":60,"Model":"flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":45.86,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":29.43}
-{"index":54,"Rank":61,"Model":"flaubert_large_cased<\/a>","Model Size (Million Parameters)":372,"Memory Usage (GB, fp32)":1.39,"Embedding Dimensions":1024,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":34.54,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":29.25}
-{"index":55,"Rank":62,"Model":"bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":44.74,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":28.81}
-{"index":56,"Rank":63,"Model":"bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":52.62,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":30.72}
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-{"index":58,"Rank":65,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (6 datasets)":63.62,"Clustering Average (7 datasets)":44.75,"PairClassification Average (2 datasets)":74.1,"Reranking Average (2 datasets)":71.76,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":77.37,"Summarization Average (1 datasets)":30.76}
-{"index":59,"Rank":66,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (6 datasets)":65.54,"Clustering Average (7 datasets)":40.13,"PairClassification Average (2 datasets)":76.18,"Reranking Average (2 datasets)":72.14,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":79.61,"Summarization Average (1 datasets)":30.92}
-{"index":60,"Rank":67,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (6 datasets)":69.32,"Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":77.24,"Reranking Average (2 datasets)":82.32,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":82.46,"Summarization Average (1 datasets)":31.72}
-{"index":61,"Rank":68,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":60.3,"Clustering Average (7 datasets)":40.76,"PairClassification Average (2 datasets)":72.27,"Reranking Average (2 datasets)":71.44,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":77.13,"Summarization Average (1 datasets)":31.85}
-{"index":62,"Rank":69,"Model":"udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":50.86,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":29.48}
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-{"index":66,"Rank":71,"Model":"sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (6 datasets)":68.48,"Clustering Average (7 datasets)":41.33,"PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":41.15,"STS Average (3 datasets)":72.28,"Summarization Average (1 datasets)":30.28}
-{"index":70,"Rank":72,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":63.72,"Clustering Average (7 datasets)":38.32,"PairClassification Average (2 datasets)":74.33,"Reranking Average (2 datasets)":61.4,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":74.33,"Summarization Average (1 datasets)":30.16}
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-{"index":73,"Rank":75,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (6 datasets)":52.87,"Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":71.52,"Reranking Average (2 datasets)":67.88,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":69.77,"Summarization Average (1 datasets)":28.11}
-{"index":74,"Rank":76,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":63.28,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":28.12}
-{"index":75,"Rank":77,"Model":"multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":52.68,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":27.59}
-{"index":76,"Rank":78,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":60.99,"Clustering Average (7 datasets)":39.33,"PairClassification Average (2 datasets)":74.57,"Reranking Average (2 datasets)":62.02,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":75.18,"Summarization Average (1 datasets)":29.2}
-{"index":77,"Rank":79,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (6 datasets)":64.73,"Clustering Average (7 datasets)":41.79,"PairClassification Average (2 datasets)":75.8,"Reranking Average (2 datasets)":74.09,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":78.18,"Summarization Average (1 datasets)":29.47}
-{"index":78,"Rank":80,"Model":"sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":64.08,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":30.01}
-{"index":79,"Rank":81,"Model":"sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":68.88,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":30.23}
-{"index":80,"Rank":82,"Model":"sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":73.18,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":31.59}
-{"index":81,"Rank":83,"Model":"sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":76.76,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":30.39}
-{"index":82,"Rank":84,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
-{"index":83,"Rank":85,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
-{"index":84,"Rank":86,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":256,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":60.88,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":29.33}
-{"index":85,"Rank":87,"Model":"universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":65.04,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":28.21}
-{"index":86,"Rank":88,"Model":"universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":66.26,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":28.56}
-{"index":88,"Rank":89,"Model":"text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":30.5}
+{"index":39,"Rank":4,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":62.47,"Classification Average (6 datasets)":69.16,"Clustering Average (7 datasets)":51.26,"PairClassification Average (2 datasets)":79.64,"Reranking Average (2 datasets)":79.79,"Retrieval Average (5 datasets)":50.09,"STS Average (3 datasets)":83.62,"Summarization Average (1 datasets)":30.3}
+{"index":28,"Rank":5,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":62.47,"Classification Average (6 datasets)":69.16,"Clustering Average (7 datasets)":51.26,"PairClassification Average (2 datasets)":79.64,"Reranking Average (2 datasets)":79.79,"Retrieval Average (5 datasets)":50.09,"STS Average (3 datasets)":83.62,"Summarization Average (1 datasets)":30.3}
+{"index":62,"Rank":6,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (26 datasets)":62.29,"Classification Average (6 datasets)":76.54,"Clustering Average (7 datasets)":44.95,"PairClassification Average (2 datasets)":76.6,"Reranking Average (2 datasets)":69.85,"Retrieval Average (5 datasets)":53.48,"STS Average (3 datasets)":84.89,"Summarization Average (1 datasets)":30.71}
+{"index":4,"Rank":7,"Model":"voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"Average (26 datasets)":61.66,"Classification Average (6 datasets)":68.56,"Clustering Average (7 datasets)":46.57,"PairClassification Average (2 datasets)":78.7,"Reranking Average (2 datasets)":82.59,"Retrieval Average (5 datasets)":54.56,"STS Average (3 datasets)":80.13,"Summarization Average (1 datasets)":29.96}
+{"index":3,"Rank":8,"Model":"voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average (26 datasets)":60.58,"Classification Average (6 datasets)":68.45,"Clustering Average (7 datasets)":44.23,"PairClassification Average (2 datasets)":77.3,"Reranking Average (2 datasets)":82.06,"Retrieval Average (5 datasets)":52.98,"STS Average (3 datasets)":80.29,"Summarization Average (1 datasets)":30.34}
+{"index":10,"Rank":9,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average (26 datasets)":59.79,"Classification Average (6 datasets)":68.72,"Clustering Average (7 datasets)":41.66,"PairClassification Average (2 datasets)":79.46,"Reranking Average (2 datasets)":76.47,"Retrieval Average (5 datasets)":52.97,"STS Average (3 datasets)":81.36,"Summarization Average (1 datasets)":29.74}
+{"index":0,"Rank":10,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average (26 datasets)":59.41,"Classification Average (6 datasets)":68.61,"Clustering Average (7 datasets)":44.74,"PairClassification Average (2 datasets)":77.34,"Reranking Average (2 datasets)":80.46,"Retrieval Average (5 datasets)":46.81,"STS Average (3 datasets)":79.56,"Summarization Average (1 datasets)":31.47}
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+{"index":2,"Rank":12,"Model":"voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":16000,"Average (26 datasets)":58.53,"Classification Average (6 datasets)":67.44,"Clustering Average (7 datasets)":45.46,"PairClassification Average (2 datasets)":76.88,"Reranking Average (2 datasets)":78.78,"Retrieval Average (5 datasets)":45.33,"STS Average (3 datasets)":77.52,"Summarization Average (1 datasets)":28.34}
+{"index":37,"Rank":13,"Model":"Solon-embeddings-large-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":58.03,"Classification Average (6 datasets)":70.02,"Clustering Average (7 datasets)":39.65,"PairClassification Average (2 datasets)":77.1,"Reranking Average (2 datasets)":76.58,"Retrieval Average (5 datasets)":46.78,"STS Average (3 datasets)":80.01,"Summarization Average (1 datasets)":29.69}
+{"index":83,"Rank":14,"Model":"sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":57.81,"Classification Average (6 datasets)":67.36,"Clustering Average (7 datasets)":43.25,"PairClassification Average (2 datasets)":78.97,"Reranking Average (2 datasets)":76.76,"Retrieval Average (5 datasets)":43.84,"STS Average (3 datasets)":78.37,"Summarization Average (1 datasets)":30.39}
+{"index":30,"Rank":15,"Model":"bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":57.77,"Classification Average (6 datasets)":65.18,"Clustering Average (7 datasets)":46.25,"PairClassification Average (2 datasets)":75.61,"Reranking Average (2 datasets)":76.0,"Retrieval Average (5 datasets)":42.92,"STS Average (3 datasets)":79.32,"Summarization Average (1 datasets)":31.55}
+{"index":29,"Rank":16,"Model":"bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (26 datasets)":57.73,"Classification Average (6 datasets)":66.54,"Clustering Average (7 datasets)":38.61,"PairClassification Average (2 datasets)":78.3,"Reranking Average (2 datasets)":80.35,"Retrieval Average (5 datasets)":46.68,"STS Average (3 datasets)":83.08,"Summarization Average (1 datasets)":31.62}
+{"index":67,"Rank":17,"Model":"sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average (26 datasets)":57.19,"Classification Average (6 datasets)":65.96,"Clustering Average (7 datasets)":41.82,"PairClassification Average (2 datasets)":80.15,"Reranking Average (2 datasets)":76.43,"Retrieval Average (5 datasets)":44.41,"STS Average (3 datasets)":77.72,"Summarization Average (1 datasets)":30.22}
+{"index":66,"Rank":18,"Model":"sentence_croissant_alpha_v0.3<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average (26 datasets)":57.13,"Classification Average (6 datasets)":67.11,"Clustering Average (7 datasets)":40.4,"PairClassification Average (2 datasets)":79.57,"Reranking Average (2 datasets)":75.48,"Retrieval Average (5 datasets)":44.9,"STS Average (3 datasets)":77.64,"Summarization Average (1 datasets)":32.46}
+{"index":46,"Rank":19,"Model":"sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average (26 datasets)":56.67,"Classification Average (6 datasets)":65.82,"Clustering Average (7 datasets)":43.17,"PairClassification Average (2 datasets)":77.12,"Reranking Average (2 datasets)":72.89,"Retrieval Average (5 datasets)":40.04,"STS Average (3 datasets)":81.74,"Summarization Average (1 datasets)":30.88}
+{"index":65,"Rank":20,"Model":"sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average (26 datasets)":56.47,"Classification Average (6 datasets)":67.4,"Clustering Average (7 datasets)":39.81,"PairClassification Average (2 datasets)":80.23,"Reranking Average (2 datasets)":75.2,"Retrieval Average (5 datasets)":43.85,"STS Average (3 datasets)":74.91,"Summarization Average (1 datasets)":30.27}
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+{"index":63,"Rank":22,"Model":"bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (26 datasets)":56.23,"Classification Average (6 datasets)":67.57,"Clustering Average (7 datasets)":37.9,"PairClassification Average (2 datasets)":77.1,"Reranking Average (2 datasets)":75.3,"Retrieval Average (5 datasets)":43.58,"STS Average (3 datasets)":79.5,"Summarization Average (1 datasets)":30.13}
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+{"index":57,"Rank":25,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":55.64,"Classification Average (6 datasets)":66.54,"Clustering Average (7 datasets)":38.7,"PairClassification Average (2 datasets)":76.19,"Reranking Average (2 datasets)":72.14,"Retrieval Average (5 datasets)":42.17,"STS Average (3 datasets)":79.36,"Summarization Average (1 datasets)":30.92}
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diff --git a/boards_data/fr/data_tasks/Classification/default.jsonl b/boards_data/fr/data_tasks/Classification/default.jsonl
index a2dcaff7e37380c4229fef8ef599e32bcf95e870..03c86407167bec186852d8a483670833cd230650 100644
--- a/boards_data/fr/data_tasks/Classification/default.jsonl
+++ b/boards_data/fr/data_tasks/Classification/default.jsonl
@@ -1,88 +1,91 @@
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diff --git a/boards_data/fr/data_tasks/Clustering/default.jsonl b/boards_data/fr/data_tasks/Clustering/default.jsonl
index 0595ef5e68a3db5a64e93215f4e926e57d30439b..52f90b6672141da893c3563589881c131815fd8b 100644
--- a/boards_data/fr/data_tasks/Clustering/default.jsonl
+++ b/boards_data/fr/data_tasks/Clustering/default.jsonl
@@ -1,82 +1,86 @@
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{"index":9,"Rank":2,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":55.56,"AlloProfClusteringP2P":76.06,"AlloProfClusteringS2S":64.52,"HALClusteringS2S":30.83,"MLSUMClusteringP2P (fr)":50.03,"MLSUMClusteringS2S (fr)":43.7,"MasakhaNEWSClusteringP2P (fra)":60.19,"MasakhaNEWSClusteringS2S (fra)":63.62}
{"index":8,"Rank":3,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":55.01,"AlloProfClusteringP2P":70.55,"AlloProfClusteringS2S":55.42,"HALClusteringS2S":28.3,"MLSUMClusteringP2P (fr)":45.27,"MLSUMClusteringS2S (fr)":42.77,"MasakhaNEWSClusteringP2P (fra)":71.04,"MasakhaNEWSClusteringS2S (fra)":71.71}
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-{"index":1,"Rank":29,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AlloProfClusteringP2P":57.96,"AlloProfClusteringS2S":41.65,"HALClusteringS2S":24.84,"MLSUMClusteringP2P (fr)":45.08,"MLSUMClusteringS2S (fr)":38.77,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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-{"index":3,"Rank":31,"Model":"voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":"","AlloProfClusteringP2P":62.5,"AlloProfClusteringS2S":44.28,"HALClusteringS2S":26.36,"MLSUMClusteringP2P (fr)":44.03,"MLSUMClusteringS2S (fr)":42.95,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
-{"index":4,"Rank":32,"Model":"voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"Average":"","AlloProfClusteringP2P":65.37,"AlloProfClusteringS2S":47.03,"HALClusteringS2S":27.67,"MLSUMClusteringP2P (fr)":45.99,"MLSUMClusteringS2S (fr)":45.57,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
-{"index":5,"Rank":33,"Model":"LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Embedding Dimensions":1024,"Max Tokens":"N\/A","Average":"","AlloProfClusteringP2P":48.45,"AlloProfClusteringS2S":25.81,"HALClusteringS2S":11.52,"MLSUMClusteringP2P (fr)":34.53,"MLSUMClusteringS2S (fr)":27.35,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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-{"index":15,"Rank":38,"Model":"Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":61.96,"AlloProfClusteringS2S":31.36,"HALClusteringS2S":17.31,"MLSUMClusteringP2P (fr)":42.8,"MLSUMClusteringS2S (fr)":32.72,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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-{"index":45,"Rank":62,"Model":"slx-v0.1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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-{"index":47,"Rank":64,"Model":"sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":59.09,"AlloProfClusteringS2S":38.92,"HALClusteringS2S":20.22,"MLSUMClusteringP2P (fr)":35.98,"MLSUMClusteringS2S (fr)":27.05,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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-{"index":52,"Rank":69,"Model":"flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":52.86,"AlloProfClusteringS2S":14.46,"HALClusteringS2S":3.85,"MLSUMClusteringP2P (fr)":39.06,"MLSUMClusteringS2S (fr)":17.13,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
-{"index":53,"Rank":70,"Model":"flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AlloProfClusteringP2P":43.2,"AlloProfClusteringS2S":12.94,"HALClusteringS2S":1.8,"MLSUMClusteringP2P (fr)":33.22,"MLSUMClusteringS2S (fr)":14.9,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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-{"index":60,"Rank":74,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","AlloProfClusteringP2P":"","AlloProfClusteringS2S":"","HALClusteringS2S":"","MLSUMClusteringP2P (fr)":"","MLSUMClusteringS2S (fr)":"","MasakhaNEWSClusteringP2P (fra)":70.48,"MasakhaNEWSClusteringS2S (fra)":69.48}
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-{"index":63,"Rank":76,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":"","AlloProfClusteringP2P":53.57,"AlloProfClusteringS2S":22.13,"HALClusteringS2S":7.68,"MLSUMClusteringP2P (fr)":36.43,"MLSUMClusteringS2S (fr)":25.26,"MasakhaNEWSClusteringP2P (fra)":"","MasakhaNEWSClusteringS2S (fra)":""}
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diff --git a/boards_data/fr/data_tasks/PairClassification/default.jsonl b/boards_data/fr/data_tasks/PairClassification/default.jsonl
index 6559b0f5279b248ed66dfda4e6422df373ba9a87..57907768e062d701a3ff8ef55c52ae19fb7e3dce 100644
--- a/boards_data/fr/data_tasks/PairClassification/default.jsonl
+++ b/boards_data/fr/data_tasks/PairClassification/default.jsonl
@@ -1,83 +1,87 @@
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{"index":8,"Rank":2,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":86.88,"OpusparcusPC (fr)":100.0,"PawsXPairClassification (fr)":73.77}
{"index":11,"Rank":3,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":85.07,"OpusparcusPC (fr)":100.0,"PawsXPairClassification (fr)":70.14}
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-{"index":10,"Rank":10,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":79.46,"OpusparcusPC (fr)":100.0,"PawsXPairClassification (fr)":58.93}
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-{"index":60,"Rank":14,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":77.24,"OpusparcusPC (fr)":94.73,"PawsXPairClassification (fr)":59.76}
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diff --git a/boards_data/fr/data_tasks/Reranking/default.jsonl b/boards_data/fr/data_tasks/Reranking/default.jsonl
index 34fb92e1c0f00520f19a921a9048b6718a9e5fb5..71b8af7189e00090457b7a6f5085f5f2883f04af 100644
--- a/boards_data/fr/data_tasks/Reranking/default.jsonl
+++ b/boards_data/fr/data_tasks/Reranking/default.jsonl
@@ -2,81 +2,85 @@
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{"index":8,"Rank":3,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":83.76,"AlloprofReranking":73.49,"SyntecReranking":94.03}
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{"index":3,"Rank":6,"Model":"voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":82.06,"AlloprofReranking":72.92,"SyntecReranking":91.2}
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diff --git a/boards_data/fr/data_tasks/Retrieval/default.jsonl b/boards_data/fr/data_tasks/Retrieval/default.jsonl
index 5eee280d3375b13fd75b9921075b0a8a6c95ddef..df4bad6ae0f3a1d02469b472ae0357081a58abe6 100644
--- a/boards_data/fr/data_tasks/Retrieval/default.jsonl
+++ b/boards_data/fr/data_tasks/Retrieval/default.jsonl
@@ -1,82 +1,86 @@
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+{"index":91,"Rank":92,"Model":"text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
diff --git a/boards_data/fr/data_tasks/STS/default.jsonl b/boards_data/fr/data_tasks/STS/default.jsonl
index 9da00b4449e81c8d3b6b01e2ff3c879aff6ada9b..2087689500d0660b36b0e504c754eaa5264f6aeb 100644
--- a/boards_data/fr/data_tasks/STS/default.jsonl
+++ b/boards_data/fr/data_tasks/STS/default.jsonl
@@ -1,86 +1,89 @@
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-{"index":30,"Rank":3,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":83.62,"STS22 (fr)":84.64,"STSBenchmarkMultilingualSTS (fr)":87.02,"SICKFr":79.2}
-{"index":31,"Rank":4,"Model":"bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":83.08,"STS22 (fr)":82.84,"STSBenchmarkMultilingualSTS (fr)":86.59,"SICKFr":79.81}
+{"index":62,"Rank":1,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":84.89,"STS22 (fr)":83.29,"STSBenchmarkMultilingualSTS (fr)":87.44,"SICKFr":83.95}
+{"index":39,"Rank":2,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":83.62,"STS22 (fr)":84.64,"STSBenchmarkMultilingualSTS (fr)":87.02,"SICKFr":79.2}
+{"index":28,"Rank":3,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":83.62,"STS22 (fr)":84.64,"STSBenchmarkMultilingualSTS (fr)":87.02,"SICKFr":79.2}
+{"index":29,"Rank":4,"Model":"bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":83.08,"STS22 (fr)":82.84,"STSBenchmarkMultilingualSTS (fr)":86.59,"SICKFr":79.81}
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diff --git a/boards_data/fr/data_tasks/Summarization/default.jsonl b/boards_data/fr/data_tasks/Summarization/default.jsonl
index b998debf58dc854c710e66d2f8dccd1fdae2430e..e46bd40078dba06cf4485bd8b2dda77c625e7841 100644
--- a/boards_data/fr/data_tasks/Summarization/default.jsonl
+++ b/boards_data/fr/data_tasks/Summarization/default.jsonl
@@ -1,82 +1,86 @@
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diff --git a/boards_data/no/data_tasks/Classification/default.jsonl b/boards_data/no/data_tasks/Classification/default.jsonl
index 2eaa4f27a837ec885e949b2376ededbfeb5fb193..cac88f77a76137c69028c5c49614a6332dcc0925 100644
--- a/boards_data/no/data_tasks/Classification/default.jsonl
+++ b/boards_data/no/data_tasks/Classification/default.jsonl
@@ -1,47 +1,53 @@
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diff --git a/boards_data/other-cls/data_tasks/Classification/default.jsonl b/boards_data/other-cls/data_tasks/Classification/default.jsonl
index a5af5bdf130cb9c9b8990cea920f44f0ceb6e9d3..9a80f3982798f5dd77f7677aaa8d4dadc9ba52c3 100644
--- a/boards_data/other-cls/data_tasks/Classification/default.jsonl
+++ b/boards_data/other-cls/data_tasks/Classification/default.jsonl
@@ -1,113 +1,155 @@
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diff --git a/boards_data/other-sts/data_tasks/STS/default.jsonl b/boards_data/other-sts/data_tasks/STS/default.jsonl
index 6596a28f1ebc08ae55e167c7f290db2872097e15..7225aca41deb8b453c060da6d925c1747cb734d7 100644
--- a/boards_data/other-sts/data_tasks/STS/default.jsonl
+++ b/boards_data/other-sts/data_tasks/STS/default.jsonl
@@ -1,287 +1,280 @@
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-{"index":35,"Rank":60,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":51.27,"STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
-{"index":36,"Rank":61,"Model":"xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
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-{"index":43,"Rank":68,"Model":"GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.43}
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-{"index":89,"Rank":107,"Model":"Arabic-labse-Matryoshka<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":82.47,"STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":57.26,"STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":82.05}
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-{"index":91,"Rank":109,"Model":"GATE-AraBert-v1<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":82.78,"STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":59.75,"STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
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-{"index":93,"Rank":111,"Model":"Solon-embeddings-large-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":83.31,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
-{"index":94,"Rank":112,"Model":"st-polish-kartonberta-base-alpha-v1<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":36.78,"STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
-{"index":95,"Rank":113,"Model":"nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.47}
-{"index":96,"Rank":114,"Model":"bge_m3e_stella<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":61.83}
-{"index":97,"Rank":115,"Model":"SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.6}
-{"index":98,"Rank":116,"Model":"SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":89.0}
-{"index":99,"Rank":117,"Model":"ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.77}
-{"index":100,"Rank":118,"Model":"LLaMA-embeeding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":52.67}
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-{"index":117,"Rank":135,"Model":"ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":67.06,"STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
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-{"index":123,"Rank":140,"Model":"GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.32}
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-{"index":125,"Rank":142,"Model":"GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.3}
-{"index":126,"Rank":143,"Model":"GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":87.08}
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-{"index":235,"Rank":239,"Model":"average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":61.55}
-{"index":236,"Rank":240,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":80.75}
-{"index":237,"Rank":241,"Model":"gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":79.58}
-{"index":238,"Rank":242,"Model":"gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":77.6}
-{"index":239,"Rank":243,"Model":"gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":77.65}
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-{"index":258,"Rank":259,"Model":"nmc-nignore15<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":77.27}
-{"index":259,"Rank":260,"Model":"nmc-nignore30<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":77.35}
-{"index":260,"Rank":261,"Model":"nmc-nignore50<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":77.32}
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-{"index":262,"Rank":263,"Model":"universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":79.93}
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-{"index":265,"Rank":266,"Model":"b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.77}
-{"index":266,"Rank":267,"Model":"b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":82.69}
-{"index":267,"Rank":268,"Model":"b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":0.8}
-{"index":268,"Rank":269,"Model":"jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.84}
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+{"index":93,"Rank":119,"Model":"nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.47}
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+{"index":274,"Rank":275,"Model":"text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.08}
+{"index":275,"Rank":276,"Model":"text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":81.09,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":64.5,"STS22 (zh-en)":"","STSBenchmark":83.17}
+{"index":276,"Rank":277,"Model":"text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":82.34}
+{"index":277,"Rank":278,"Model":"text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.56}
+{"index":278,"Rank":279,"Model":"text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.24}
+{"index":279,"Rank":280,"Model":"elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":79.54}
diff --git a/boards_data/pl/data_overall/default.jsonl b/boards_data/pl/data_overall/default.jsonl
index d11345bcbfdf293912f155ae84e9f0078e2d3943..dbd2c6ad58dae1e5e63acb14f766e2e660b0edad 100644
--- a/boards_data/pl/data_overall/default.jsonl
+++ b/boards_data/pl/data_overall/default.jsonl
@@ -1,44 +1,51 @@
-{"index":3,"Rank":1,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average (26 datasets)":70.0,"Classification Average (7 datasets)":77.99,"Clustering Average (1 datasets)":50.29,"PairClassification Average (4 datasets)":89.62,"Retrieval Average (11 datasets)":59.41,"STS Average (3 datasets)":70.64}
-{"index":1,"Rank":2,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average (26 datasets)":67.86,"Classification Average (7 datasets)":77.84,"Clustering Average (1 datasets)":51.36,"PairClassification Average (4 datasets)":88.48,"Retrieval Average (11 datasets)":54.69,"STS Average (3 datasets)":70.86}
-{"index":0,"Rank":3,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average (26 datasets)":64.04,"Classification Average (7 datasets)":72.29,"Clustering Average (1 datasets)":44.59,"PairClassification Average (4 datasets)":84.87,"Retrieval Average (11 datasets)":51.88,"STS Average (3 datasets)":68.12}
-{"index":38,"Rank":4,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (26 datasets)":63.97,"Classification Average (7 datasets)":70.81,"Clustering Average (1 datasets)":43.66,"PairClassification Average (4 datasets)":83.7,"Retrieval Average (11 datasets)":51.89,"STS Average (3 datasets)":72.77}
-{"index":43,"Rank":5,"Model":"mmlw-roberta-large<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":63.23,"Classification Average (7 datasets)":66.39,"Clustering Average (1 datasets)":31.16,"PairClassification Average (4 datasets)":89.13,"Retrieval Average (11 datasets)":52.71,"STS Average (3 datasets)":70.59}
-{"index":40,"Rank":6,"Model":"mmlw-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":61.17,"Classification Average (7 datasets)":61.07,"Clustering Average (1 datasets)":30.62,"PairClassification Average (4 datasets)":85.9,"Retrieval Average (11 datasets)":52.63,"STS Average (3 datasets)":69.98}
-{"index":42,"Rank":7,"Model":"mmlw-roberta-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":61.05,"Classification Average (7 datasets)":62.92,"Clustering Average (1 datasets)":33.08,"PairClassification Average (4 datasets)":88.14,"Retrieval Average (11 datasets)":49.92,"STS Average (3 datasets)":70.7}
-{"index":31,"Rank":8,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":60.08,"Classification Average (7 datasets)":63.82,"Clustering Average (1 datasets)":33.88,"PairClassification Average (4 datasets)":85.5,"Retrieval Average (11 datasets)":48.98,"STS Average (3 datasets)":66.91}
-{"index":39,"Rank":9,"Model":"mmlw-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":59.71,"Classification Average (7 datasets)":59.52,"Clustering Average (1 datasets)":30.25,"PairClassification Average (4 datasets)":86.16,"Retrieval Average (11 datasets)":50.06,"STS Average (3 datasets)":70.13}
-{"index":2,"Rank":10,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average (26 datasets)":58.22,"Classification Average (7 datasets)":60.15,"Clustering Average (1 datasets)":33.67,"PairClassification Average (4 datasets)":85.45,"Retrieval Average (11 datasets)":46.4,"STS Average (3 datasets)":68.92}
-{"index":23,"Rank":11,"Model":"st-polish-kartonberta-base-alpha-v1<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":56.92,"Classification Average (7 datasets)":60.44,"Clustering Average (1 datasets)":32.85,"PairClassification Average (4 datasets)":87.92,"Retrieval Average (11 datasets)":42.19,"STS Average (3 datasets)":69.47}
-{"index":41,"Rank":12,"Model":"mmlw-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":55.84,"Classification Average (7 datasets)":57.73,"Clustering Average (1 datasets)":31.77,"PairClassification Average (4 datasets)":84.61,"Retrieval Average (11 datasets)":42.83,"STS Average (3 datasets)":68.77}
-{"index":30,"Rank":13,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":55.62,"Classification Average (7 datasets)":59.01,"Clustering Average (1 datasets)":24.97,"PairClassification Average (4 datasets)":82.15,"Retrieval Average (11 datasets)":44.01,"STS Average (3 datasets)":65.13}
-{"index":33,"Rank":14,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":54.13,"Classification Average (7 datasets)":57.04,"Clustering Average (1 datasets)":23.92,"PairClassification Average (4 datasets)":80.5,"Retrieval Average (11 datasets)":42.43,"STS Average (3 datasets)":65.17}
-{"index":52,"Rank":15,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":48.67,"Classification Average (7 datasets)":54.08,"Clustering Average (1 datasets)":25.62,"PairClassification Average (4 datasets)":86.23,"Retrieval Average (11 datasets)":29.17,"STS Average (3 datasets)":65.19}
-{"index":51,"Rank":16,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":46.4,"Classification Average (7 datasets)":52.19,"Clustering Average (1 datasets)":23.24,"PairClassification Average (4 datasets)":83.28,"Retrieval Average (11 datasets)":26.66,"STS Average (3 datasets)":63.83}
-{"index":46,"Rank":17,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":45.36,"Classification Average (7 datasets)":57.39,"Clustering Average (1 datasets)":12.96,"PairClassification Average (4 datasets)":79.27,"Retrieval Average (11 datasets)":23.36,"STS Average (3 datasets)":63.58}
-{"index":4,"Rank":18,"Model":"winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (26 datasets)":"","Classification Average (7 datasets)":37.66,"Clustering Average (1 datasets)":4.68,"PairClassification Average (4 datasets)":59.51,"Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":7,"Rank":21,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average (26 datasets)":"","Classification Average (7 datasets)":71.24,"Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":8,"Rank":22,"Model":"multilingual-e5-large-pooled<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":15,"Rank":29,"Model":"2024-06-19_22-27-15<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (26 datasets)":"","Classification Average (7 datasets)":32.9,"Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":17,"Rank":31,"Model":"MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":19,"Rank":33,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":20,"Rank":34,"Model":"SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":21,"Rank":35,"Model":"SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":22,"Rank":36,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":25,"Rank":38,"Model":"sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":26,"Rank":39,"Model":"slx-v0.1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":27,"Rank":40,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":28,"Rank":41,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (26 datasets)":"","Classification Average (7 datasets)":56.34,"Clustering Average (1 datasets)":18.79,"PairClassification Average (4 datasets)":73.2,"Retrieval Average (11 datasets)":"","STS Average (3 datasets)":58.02}
-{"index":29,"Rank":42,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (26 datasets)":"","Classification Average (7 datasets)":69.55,"Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":69.36}
-{"index":32,"Rank":43,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (7 datasets)":67.02,"Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":70.31}
-{"index":34,"Rank":44,"Model":"herbert-base-retrieval-v2<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":28.15,"PairClassification Average (4 datasets)":75.48,"Retrieval Average (11 datasets)":39.16,"STS Average (3 datasets)":""}
-{"index":35,"Rank":45,"Model":"silver-retriever-base-v1<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":31.49,"PairClassification Average (4 datasets)":77.67,"Retrieval Average (11 datasets)":38.43,"STS Average (3 datasets)":""}
-{"index":36,"Rank":46,"Model":"udever-bloom-1b1<\/a>","Model Size (Million Parameters)":1065,"Memory Usage (GB, fp32)":3.97,"Embedding Dimensions":1536,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":37,"Rank":47,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":559,"Memory Usage (GB, fp32)":2.08,"Embedding Dimensions":1024,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":44,"Rank":48,"Model":"st-polish-paraphrase-from-distilroberta<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":31.68,"PairClassification Average (4 datasets)":87.01,"Retrieval Average (11 datasets)":32.08,"STS Average (3 datasets)":""}
-{"index":45,"Rank":49,"Model":"st-polish-paraphrase-from-mpnet<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":33.15,"PairClassification Average (4 datasets)":87.08,"Retrieval Average (11 datasets)":34.44,"STS Average (3 datasets)":""}
-{"index":47,"Rank":50,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (7 datasets)":39.35,"Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":51.99}
-{"index":48,"Rank":51,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (7 datasets)":40.07,"Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":52.88}
-{"index":49,"Rank":52,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (7 datasets)":39.84,"Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":50.48}
-{"index":50,"Rank":53,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":12.51,"PairClassification Average (4 datasets)":79.4,"Retrieval Average (11 datasets)":21.18,"STS Average (3 datasets)":""}
-{"index":53,"Rank":54,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
-{"index":54,"Rank":55,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
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+{"index":2,"Rank":2,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average (26 datasets)":67.86,"Classification Average (7 datasets)":77.84,"Clustering Average (1 datasets)":51.36,"PairClassification Average (4 datasets)":88.48,"Retrieval Average (11 datasets)":54.69,"STS Average (3 datasets)":70.86}
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+{"index":39,"Rank":6,"Model":"mmlw-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":61.17,"Classification Average (7 datasets)":61.07,"Clustering Average (1 datasets)":30.62,"PairClassification Average (4 datasets)":85.9,"Retrieval Average (11 datasets)":52.63,"STS Average (3 datasets)":69.98}
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+{"index":30,"Rank":8,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":60.08,"Classification Average (7 datasets)":63.82,"Clustering Average (1 datasets)":33.88,"PairClassification Average (4 datasets)":85.5,"Retrieval Average (11 datasets)":48.98,"STS Average (3 datasets)":66.91}
+{"index":38,"Rank":9,"Model":"mmlw-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":59.71,"Classification Average (7 datasets)":59.52,"Clustering Average (1 datasets)":30.25,"PairClassification Average (4 datasets)":86.16,"Retrieval Average (11 datasets)":50.06,"STS Average (3 datasets)":70.13}
+{"index":3,"Rank":10,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average (26 datasets)":58.22,"Classification Average (7 datasets)":60.15,"Clustering Average (1 datasets)":33.67,"PairClassification Average (4 datasets)":85.45,"Retrieval Average (11 datasets)":46.4,"STS Average (3 datasets)":68.92}
+{"index":22,"Rank":11,"Model":"st-polish-kartonberta-base-alpha-v1<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":56.92,"Classification Average (7 datasets)":60.44,"Clustering Average (1 datasets)":32.85,"PairClassification Average (4 datasets)":87.92,"Retrieval Average (11 datasets)":42.19,"STS Average (3 datasets)":69.47}
+{"index":40,"Rank":12,"Model":"mmlw-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":55.84,"Classification Average (7 datasets)":57.73,"Clustering Average (1 datasets)":31.77,"PairClassification Average (4 datasets)":84.61,"Retrieval Average (11 datasets)":42.83,"STS Average (3 datasets)":68.77}
+{"index":29,"Rank":13,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":55.62,"Classification Average (7 datasets)":59.01,"Clustering Average (1 datasets)":24.97,"PairClassification Average (4 datasets)":82.15,"Retrieval Average (11 datasets)":44.01,"STS Average (3 datasets)":65.13}
+{"index":32,"Rank":14,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":54.14,"Classification Average (7 datasets)":57.05,"Clustering Average (1 datasets)":23.92,"PairClassification Average (4 datasets)":80.5,"Retrieval Average (11 datasets)":42.43,"STS Average (3 datasets)":65.18}
+{"index":34,"Rank":15,"Model":"silver-retriever-base-v1<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":52.8,"Classification Average (7 datasets)":58.99,"Clustering Average (1 datasets)":31.49,"PairClassification Average (4 datasets)":77.67,"Retrieval Average (11 datasets)":38.43,"STS Average (3 datasets)":65.01}
+{"index":33,"Rank":16,"Model":"herbert-base-retrieval-v2<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":52.55,"Classification Average (7 datasets)":59.26,"Clustering Average (1 datasets)":28.15,"PairClassification Average (4 datasets)":75.48,"Retrieval Average (11 datasets)":39.16,"STS Average (3 datasets)":63.53}
+{"index":44,"Rank":17,"Model":"st-polish-paraphrase-from-mpnet<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":52.49,"Classification Average (7 datasets)":57.49,"Clustering Average (1 datasets)":33.15,"PairClassification Average (4 datasets)":87.08,"Retrieval Average (11 datasets)":34.44,"STS Average (3 datasets)":67.36}
+{"index":43,"Rank":18,"Model":"st-polish-paraphrase-from-distilroberta<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":51.88,"Classification Average (7 datasets)":58.55,"Clustering Average (1 datasets)":31.68,"PairClassification Average (4 datasets)":87.01,"Retrieval Average (11 datasets)":32.08,"STS Average (3 datasets)":68.78}
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+{"index":5,"Rank":24,"Model":"winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (26 datasets)":"","Classification Average (7 datasets)":37.66,"Clustering Average (1 datasets)":4.68,"PairClassification Average (4 datasets)":59.51,"Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
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+{"index":15,"Rank":34,"Model":"2024-06-19_22-27-15<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (26 datasets)":"","Classification Average (7 datasets)":32.9,"Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
+{"index":16,"Rank":35,"Model":"MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
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+{"index":19,"Rank":38,"Model":"SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
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+{"index":21,"Rank":40,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
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+{"index":36,"Rank":49,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":559,"Memory Usage (GB, fp32)":2.08,"Embedding Dimensions":1024,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
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+{"index":52,"Rank":55,"Model":"gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
+{"index":53,"Rank":56,"Model":"gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
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+{"index":60,"Rank":61,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (7 datasets)":"","Clustering Average (1 datasets)":"","PairClassification Average (4 datasets)":"","Retrieval Average (11 datasets)":"","STS Average (3 datasets)":""}
diff --git a/boards_data/pl/data_tasks/Classification/default.jsonl b/boards_data/pl/data_tasks/Classification/default.jsonl
index b728b8e4a75ce6ab08aa50d076ec5844d00a69c0..cea8fda162443641c1647dfbcd31773f30a0729c 100644
--- a/boards_data/pl/data_tasks/Classification/default.jsonl
+++ b/boards_data/pl/data_tasks/Classification/default.jsonl
@@ -1,54 +1,60 @@
-{"index":3,"Rank":1,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":77.99,"AllegroReviews":65.0,"CBD":84.13,"MassiveIntentClassification (pl)":79.41,"MassiveScenarioClassification (pl)":81.93,"PAC":67.24,"PolEmo2.0-IN":90.42,"PolEmo2.0-OUT":77.77}
-{"index":1,"Rank":2,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":77.84,"AllegroReviews":67.14,"CBD":78.03,"MassiveIntentClassification (pl)":80.75,"MassiveScenarioClassification (pl)":85.54,"PAC":69.04,"PolEmo2.0-IN":89.39,"PolEmo2.0-OUT":74.98}
-{"index":0,"Rank":3,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":72.29,"AllegroReviews":63.98,"CBD":68.56,"MassiveIntentClassification (pl)":73.55,"MassiveScenarioClassification (pl)":76.37,"PAC":69.04,"PolEmo2.0-IN":86.16,"PolEmo2.0-OUT":68.4}
-{"index":7,"Rank":4,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":71.24,"AllegroReviews":56.77,"CBD":77.23,"MassiveIntentClassification (pl)":75.36,"MassiveScenarioClassification (pl)":76.25,"PAC":67.05,"PolEmo2.0-IN":83.5,"PolEmo2.0-OUT":62.55}
-{"index":38,"Rank":5,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":70.81,"AllegroReviews":49.51,"CBD":69.99,"MassiveIntentClassification (pl)":75.37,"MassiveScenarioClassification (pl)":82.1,"PAC":68.4,"PolEmo2.0-IN":83.75,"PolEmo2.0-OUT":66.54}
-{"index":29,"Rank":6,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":69.55,"AllegroReviews":59.78,"CBD":72.59,"MassiveIntentClassification (pl)":71.03,"MassiveScenarioClassification (pl)":75.09,"PAC":62.26,"PolEmo2.0-IN":85.58,"PolEmo2.0-OUT":60.55}
-{"index":32,"Rank":7,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":67.02,"AllegroReviews":52.43,"CBD":74.21,"MassiveIntentClassification (pl)":67.45,"MassiveScenarioClassification (pl)":71.44,"PAC":65.68,"PolEmo2.0-IN":80.96,"PolEmo2.0-OUT":56.96}
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+{"index":59,"Rank":60,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":26.82,"MassiveScenarioClassification (pl)":31.62,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":60,"Rank":61,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":58.91,"MassiveScenarioClassification (pl)":62.55,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
diff --git a/boards_data/pl/data_tasks/Clustering/default.jsonl b/boards_data/pl/data_tasks/Clustering/default.jsonl
index 301e365715d03fb383154ec5f20003eedb3c1c6f..43be06337a0929af8bc72a17814038e610acc9e7 100644
--- a/boards_data/pl/data_tasks/Clustering/default.jsonl
+++ b/boards_data/pl/data_tasks/Clustering/default.jsonl
@@ -1,43 +1,50 @@
-{"index":1,"Rank":1,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"8TagsClustering":51.36}
-{"index":3,"Rank":2,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"8TagsClustering":50.29}
-{"index":0,"Rank":3,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"8TagsClustering":44.59}
-{"index":38,"Rank":4,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"8TagsClustering":43.66}
-{"index":31,"Rank":5,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"8TagsClustering":33.88}
-{"index":2,"Rank":6,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"8TagsClustering":33.67}
-{"index":45,"Rank":7,"Model":"st-polish-paraphrase-from-mpnet<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"8TagsClustering":33.15}
-{"index":42,"Rank":8,"Model":"mmlw-roberta-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":514,"8TagsClustering":33.08}
-{"index":23,"Rank":9,"Model":"st-polish-kartonberta-base-alpha-v1<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":514,"8TagsClustering":32.85}
-{"index":41,"Rank":10,"Model":"mmlw-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"8TagsClustering":31.77}
-{"index":44,"Rank":11,"Model":"st-polish-paraphrase-from-distilroberta<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"8TagsClustering":31.68}
-{"index":35,"Rank":12,"Model":"silver-retriever-base-v1<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"8TagsClustering":31.49}
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diff --git a/boards_data/pl/data_tasks/PairClassification/default.jsonl b/boards_data/pl/data_tasks/PairClassification/default.jsonl
index d9356659cee3e8f5301afe61ead41793686f0dda..30fe6520fc4dac03c7408c517f0a89350fe58e13 100644
--- a/boards_data/pl/data_tasks/PairClassification/default.jsonl
+++ b/boards_data/pl/data_tasks/PairClassification/default.jsonl
@@ -1,49 +1,56 @@
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diff --git a/boards_data/pl/data_tasks/Retrieval/default.jsonl b/boards_data/pl/data_tasks/Retrieval/default.jsonl
index 596be5d1665139fe376624fe6c5a5a1a69f660fc..8c169823420eb533aee57f80f93ff3c742e72a82 100644
--- a/boards_data/pl/data_tasks/Retrieval/default.jsonl
+++ b/boards_data/pl/data_tasks/Retrieval/default.jsonl
@@ -1,42 +1,49 @@
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diff --git a/boards_data/pl/data_tasks/STS/default.jsonl b/boards_data/pl/data_tasks/STS/default.jsonl
index a093086a1379e4ffebc4b271a8828ecfe600ac25..b33706d5f2311fe8cad1a2d352977a4e75f14a0a 100644
--- a/boards_data/pl/data_tasks/STS/default.jsonl
+++ b/boards_data/pl/data_tasks/STS/default.jsonl
@@ -1,51 +1,57 @@
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+{"index":53,"Rank":56,"Model":"gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","CDSC-R":"","SICK-R-PL":"","STS22 (pl)":33.74}
+{"index":56,"Rank":57,"Model":"sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","CDSC-R":"","SICK-R-PL":"","STS22 (pl)":24.42}
+{"index":57,"Rank":58,"Model":"sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","CDSC-R":"","SICK-R-PL":"","STS22 (pl)":25.0}
+{"index":58,"Rank":59,"Model":"sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","CDSC-R":"","SICK-R-PL":"","STS22 (pl)":27.04}
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+{"index":60,"Rank":61,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","CDSC-R":"","SICK-R-PL":"","STS22 (pl)":34.81}
diff --git a/boards_data/ru/data_overall/default.jsonl b/boards_data/ru/data_overall/default.jsonl
index 110202197e63c50d436b2fb0ea023e1469e307bf..0c00596fe319fd05cf6482a80a0b22bb1ae35c61 100644
--- a/boards_data/ru/data_overall/default.jsonl
+++ b/boards_data/ru/data_overall/default.jsonl
@@ -1,40 +1,48 @@
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-{"index":27,"Rank":3,"Model":"USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Embedding Dimensions":1024,"Max Tokens":8192,"Average (23 datasets)":62.58,"Classification Average (9 datasets)":61.92,"Clustering Average (3 datasets)":53.61,"PairClassification Average (1 datasets)":65.07,"Reranking Average (2 datasets)":68.72,"Retrieval Average (3 datasets)":73.63,"STS Average (3 datasets)":75.38,"MultilabelClassification Average (2 datasets)":35.88}
-{"index":17,"Rank":4,"Model":"ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"Embedding Dimensions":1024,"Max Tokens":514,"Average (23 datasets)":61.77,"Classification Average (9 datasets)":62.74,"Clustering Average (3 datasets)":56.06,"PairClassification Average (1 datasets)":60.79,"Reranking Average (2 datasets)":63.89,"Retrieval Average (3 datasets)":66.51,"STS Average (3 datasets)":73.97,"MultilabelClassification Average (2 datasets)":38.88}
-{"index":1,"Rank":5,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average (23 datasets)":61.58,"Classification Average (9 datasets)":60.46,"Clustering Average (3 datasets)":52.38,"PairClassification Average (1 datasets)":60.6,"Reranking Average (2 datasets)":69.7,"Retrieval Average (3 datasets)":74.79,"STS Average (3 datasets)":73.68,"MultilabelClassification Average (2 datasets)":34.86}
-{"index":32,"Rank":6,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (23 datasets)":61.41,"Classification Average (9 datasets)":61.01,"Clustering Average (3 datasets)":52.23,"PairClassification Average (1 datasets)":58.42,"Reranking Average (2 datasets)":69.66,"Retrieval Average (3 datasets)":74.04,"STS Average (3 datasets)":71.62,"MultilabelClassification Average (2 datasets)":36.01}
-{"index":44,"Rank":7,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":59.04,"Classification Average (9 datasets)":59.23,"Clustering Average (3 datasets)":53.22,"PairClassification Average (1 datasets)":57.81,"Reranking Average (2 datasets)":63.04,"Retrieval Average (3 datasets)":63.68,"STS Average (3 datasets)":72.54,"MultilabelClassification Average (2 datasets)":36.32}
-{"index":31,"Rank":8,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (23 datasets)":58.34,"Classification Average (9 datasets)":58.26,"Clustering Average (3 datasets)":50.27,"PairClassification Average (1 datasets)":54.98,"Reranking Average (2 datasets)":66.24,"Retrieval Average (3 datasets)":67.14,"STS Average (3 datasets)":70.16,"MultilabelClassification Average (2 datasets)":33.65}
-{"index":26,"Rank":9,"Model":"USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":57.98,"Classification Average (9 datasets)":59.88,"Clustering Average (3 datasets)":53.42,"PairClassification Average (1 datasets)":60.11,"Reranking Average (2 datasets)":55.58,"Retrieval Average (3 datasets)":56.64,"STS Average (3 datasets)":73.07,"MultilabelClassification Average (2 datasets)":36.98}
-{"index":34,"Rank":10,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (23 datasets)":57.29,"Classification Average (9 datasets)":56.44,"Clustering Average (3 datasets)":51.35,"PairClassification Average (1 datasets)":55.14,"Reranking Average (2 datasets)":65.28,"Retrieval Average (3 datasets)":65.85,"STS Average (3 datasets)":69.48,"MultilabelClassification Average (2 datasets)":31.99}
-{"index":45,"Rank":11,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"Average (23 datasets)":53.22,"Classification Average (9 datasets)":55.01,"Clustering Average (3 datasets)":49.57,"PairClassification Average (1 datasets)":56.27,"Reranking Average (2 datasets)":54.94,"Retrieval Average (3 datasets)":46.69,"STS Average (3 datasets)":70.23,"MultilabelClassification Average (2 datasets)":31.7}
-{"index":18,"Rank":12,"Model":"sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Embedding Dimensions":1024,"Max Tokens":514,"Average (23 datasets)":48.72,"Classification Average (9 datasets)":57.52,"Clustering Average (3 datasets)":51.29,"PairClassification Average (1 datasets)":51.97,"Reranking Average (2 datasets)":40.56,"Retrieval Average (3 datasets)":19.13,"STS Average (3 datasets)":64.4,"MultilabelClassification Average (2 datasets)":32.67}
-{"index":23,"Rank":13,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":48.23,"Classification Average (9 datasets)":54.98,"Clustering Average (3 datasets)":46.84,"PairClassification Average (1 datasets)":55.61,"Reranking Average (2 datasets)":41.84,"Retrieval Average (3 datasets)":24.78,"STS Average (3 datasets)":65.91,"MultilabelClassification Average (2 datasets)":31.27}
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-{"index":5,"Rank":16,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":41.94,"Classification Average (9 datasets)":55.15,"Clustering Average (3 datasets)":38.41,"PairClassification Average (1 datasets)":53.02,"Reranking Average (2 datasets)":27.84,"Retrieval Average (3 datasets)":5.71,"STS Average (3 datasets)":56.2,"MultilabelClassification Average (2 datasets)":29.32}
-{"index":7,"Rank":17,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":41.91,"Classification Average (9 datasets)":51.27,"Clustering Average (3 datasets)":43.13,"PairClassification Average (1 datasets)":59.12,"Reranking Average (2 datasets)":26.83,"Retrieval Average (3 datasets)":7.09,"STS Average (3 datasets)":61.18,"MultilabelClassification Average (2 datasets)":27.8}
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-{"index":0,"Rank":19,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
-{"index":8,"Rank":23,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average (23 datasets)":"","Classification Average (9 datasets)":67.48,"Clustering Average (3 datasets)":61.91,"PairClassification Average (1 datasets)":58.93,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":35.6}
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-{"index":11,"Rank":26,"Model":"MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
-{"index":13,"Rank":28,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":56.45,"Clustering Average (3 datasets)":51.35,"PairClassification Average (1 datasets)":55.14,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":69.48,"MultilabelClassification Average (2 datasets)":31.44}
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-{"index":15,"Rank":30,"Model":"SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
-{"index":16,"Rank":31,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
-{"index":21,"Rank":33,"Model":"sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
-{"index":22,"Rank":34,"Model":"slx-v0.1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
-{"index":24,"Rank":35,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"Embedding Dimensions":512,"Max Tokens":514,"Average (23 datasets)":"","Classification Average (9 datasets)":44.55,"Clustering Average (3 datasets)":30.76,"PairClassification Average (1 datasets)":52.85,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":53.15,"MultilabelClassification Average (2 datasets)":27.96}
-{"index":28,"Rank":36,"Model":"deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":56.18,"Clustering Average (3 datasets)":42.92,"PairClassification Average (1 datasets)":56.49,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":53.39,"MultilabelClassification Average (2 datasets)":28.9}
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-{"index":36,"Rank":39,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":559,"Memory Usage (GB, fp32)":2.08,"Embedding Dimensions":1024,"Max Tokens":2048,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
-{"index":37,"Rank":40,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (23 datasets)":"","Classification Average (9 datasets)":64.41,"Clustering Average (3 datasets)":60.8,"PairClassification Average (1 datasets)":58.73,"Reranking Average (2 datasets)":53.82,"Retrieval Average (3 datasets)":"","STS Average (3 datasets)":76.03,"MultilabelClassification Average (2 datasets)":38.97}
-{"index":38,"Rank":41,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":54.7,"Clustering Average (3 datasets)":47.74,"PairClassification Average (1 datasets)":55.71,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":65.52,"MultilabelClassification Average (2 datasets)":31.42}
-{"index":39,"Rank":42,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":28.15,"Clustering Average (3 datasets)":13.87,"PairClassification Average (1 datasets)":46.4,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":37.66,"MultilabelClassification Average (2 datasets)":25.96}
-{"index":40,"Rank":43,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":28.75,"Clustering Average (3 datasets)":13.3,"PairClassification Average (1 datasets)":45.03,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":1.23,"STS Average (3 datasets)":38.07,"MultilabelClassification Average (2 datasets)":25.27}
-{"index":41,"Rank":44,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average (23 datasets)":"","Classification Average (9 datasets)":28.82,"Clustering Average (3 datasets)":15.83,"PairClassification Average (1 datasets)":44.52,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":37.89,"MultilabelClassification Average (2 datasets)":26.9}
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+{"index":1,"Rank":20,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
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+{"index":13,"Rank":28,"Model":"SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
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+{"index":15,"Rank":30,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
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+{"index":21,"Rank":33,"Model":"slx-v0.1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
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+{"index":34,"Rank":37,"Model":"udever-bloom-1b1<\/a>","Model Size (Million Parameters)":1065,"Memory Usage (GB, fp32)":3.97,"Embedding Dimensions":1536,"Max Tokens":2048,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":35,"Rank":38,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":559,"Memory Usage (GB, fp32)":2.08,"Embedding Dimensions":1024,"Max Tokens":2048,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":36,"Rank":39,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (23 datasets)":"","Classification Average (9 datasets)":64.41,"Clustering Average (3 datasets)":60.8,"PairClassification Average (1 datasets)":58.73,"Reranking Average (2 datasets)":53.82,"Retrieval Average (3 datasets)":"","STS Average (3 datasets)":76.03,"MultilabelClassification Average (2 datasets)":38.97}
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+{"index":42,"Rank":45,"Model":"average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":43,"Rank":46,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
+{"index":44,"Rank":47,"Model":"gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
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+{"index":53,"Rank":54,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
diff --git a/boards_data/ru/data_tasks/Classification/default.jsonl b/boards_data/ru/data_tasks/Classification/default.jsonl
index 3ad680d036f6dbe91b98795fd336ad1550cb5077..364f2543cb3462433bd15f9f4423b2b6716c9b16 100644
--- a/boards_data/ru/data_tasks/Classification/default.jsonl
+++ b/boards_data/ru/data_tasks/Classification/default.jsonl
@@ -1,46 +1,53 @@
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diff --git a/boards_data/ru/data_tasks/Clustering/default.jsonl b/boards_data/ru/data_tasks/Clustering/default.jsonl
index 3bb57fb82a4e7275ebef3151192f330ec6e5f41b..5ed854ec48464e36a7e092da2eb50de7bc9ba760 100644
--- a/boards_data/ru/data_tasks/Clustering/default.jsonl
+++ b/boards_data/ru/data_tasks/Clustering/default.jsonl
@@ -1,40 +1,48 @@
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-{"index":17,"Rank":5,"Model":"ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"Embedding Dimensions":1024,"Max Tokens":514,"Average":56.06,"GeoreviewClusteringP2P":65.42,"RuSciBenchGRNTIClusteringP2P":55.47,"RuSciBenchOECDClusteringP2P":47.29}
-{"index":27,"Rank":6,"Model":"USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":53.61,"GeoreviewClusteringP2P":62.79,"RuSciBenchGRNTIClusteringP2P":53.11,"RuSciBenchOECDClusteringP2P":44.93}
-{"index":26,"Rank":7,"Model":"USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average":53.42,"GeoreviewClusteringP2P":64.16,"RuSciBenchGRNTIClusteringP2P":51.38,"RuSciBenchOECDClusteringP2P":44.73}
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-{"index":1,"Rank":9,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":52.38,"GeoreviewClusteringP2P":63.09,"RuSciBenchGRNTIClusteringP2P":50.83,"RuSciBenchOECDClusteringP2P":43.21}
-{"index":32,"Rank":10,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":52.23,"GeoreviewClusteringP2P":59.59,"RuSciBenchGRNTIClusteringP2P":51.98,"RuSciBenchOECDClusteringP2P":45.12}
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-{"index":34,"Rank":12,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":51.35,"GeoreviewClusteringP2P":58.57,"RuSciBenchGRNTIClusteringP2P":51.14,"RuSciBenchOECDClusteringP2P":44.33}
-{"index":18,"Rank":13,"Model":"sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Embedding Dimensions":1024,"Max Tokens":514,"Average":51.29,"GeoreviewClusteringP2P":57.07,"RuSciBenchGRNTIClusteringP2P":51.44,"RuSciBenchOECDClusteringP2P":45.36}
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-{"index":35,"Rank":45,"Model":"udever-bloom-1b1<\/a>","Model Size (Million Parameters)":1065,"Memory Usage (GB, fp32)":3.97,"Embedding Dimensions":1536,"Max Tokens":2048,"Average":"","GeoreviewClusteringP2P":"","RuSciBenchGRNTIClusteringP2P":"","RuSciBenchOECDClusteringP2P":""}
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diff --git a/boards_data/ru/data_tasks/MultilabelClassification/default.jsonl b/boards_data/ru/data_tasks/MultilabelClassification/default.jsonl
index ba47067c31acceb704eb1462c2795f0ba65a92db..ac3ac0fdcfa3f3ce4ab608396ca8d719604f73aa 100644
--- a/boards_data/ru/data_tasks/MultilabelClassification/default.jsonl
+++ b/boards_data/ru/data_tasks/MultilabelClassification/default.jsonl
@@ -1,40 +1,48 @@
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diff --git a/boards_data/ru/data_tasks/PairClassification/default.jsonl b/boards_data/ru/data_tasks/PairClassification/default.jsonl
index f43627412ec207bafea9b33f2d48abf0859defea..b4117a9ef7dcb4e59952b9ff5668b025bc63a3ed 100644
--- a/boards_data/ru/data_tasks/PairClassification/default.jsonl
+++ b/boards_data/ru/data_tasks/PairClassification/default.jsonl
@@ -1,40 +1,48 @@
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diff --git a/boards_data/ru/data_tasks/Reranking/default.jsonl b/boards_data/ru/data_tasks/Reranking/default.jsonl
index 045a1cca5edf967b273727571069656f11a3a862..ac43cadfd885e53122380e300269a7c5069205aa 100644
--- a/boards_data/ru/data_tasks/Reranking/default.jsonl
+++ b/boards_data/ru/data_tasks/Reranking/default.jsonl
@@ -1,40 +1,48 @@
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diff --git a/boards_data/ru/data_tasks/Retrieval/default.jsonl b/boards_data/ru/data_tasks/Retrieval/default.jsonl
index 765b53b6f53725d39254b4ffbba84dfc6bb6805a..c9ae04f79120fcb206d6f03145a44faafb9e33e9 100644
--- a/boards_data/ru/data_tasks/Retrieval/default.jsonl
+++ b/boards_data/ru/data_tasks/Retrieval/default.jsonl
@@ -1,40 +1,48 @@
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diff --git a/boards_data/ru/data_tasks/STS/default.jsonl b/boards_data/ru/data_tasks/STS/default.jsonl
index 7ec5ad3213e46f2611f449a10500725dc42daa82..a07cda11d4d6389b0c12309f6764ffe66b6e883c 100644
--- a/boards_data/ru/data_tasks/STS/default.jsonl
+++ b/boards_data/ru/data_tasks/STS/default.jsonl
@@ -1,44 +1,51 @@
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+{"index":53,"Rank":54,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":54.51}
diff --git a/boards_data/se/data_tasks/Classification/default.jsonl b/boards_data/se/data_tasks/Classification/default.jsonl
index 2eaa4f27a837ec885e949b2376ededbfeb5fb193..cac88f77a76137c69028c5c49614a6332dcc0925 100644
--- a/boards_data/se/data_tasks/Classification/default.jsonl
+++ b/boards_data/se/data_tasks/Classification/default.jsonl
@@ -1,47 +1,53 @@
-{"index":30,"Rank":1,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":65.14,"MassiveIntentClassification (nb)":64.54,"MassiveScenarioClassification (nb)":70.44,"NoRecClassification":62.76,"NordicLangClassification":82.29,"NorwegianParliament":60.36,"ScalaNbClassification":50.44}
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-{"index":24,"Rank":4,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.92,"MassiveIntentClassification (nb)":59.9,"MassiveScenarioClassification (nb)":65.81,"NoRecClassification":48.25,"NordicLangClassification":48.4,"NorwegianParliament":55.99,"ScalaNbClassification":51.18}
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-{"index":1,"Rank":7,"Model":"winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","MassiveIntentClassification (nb)":36.89,"MassiveScenarioClassification (nb)":44.27,"NoRecClassification":43.53,"NordicLangClassification":"","NorwegianParliament":54.9,"ScalaNbClassification":""}
-{"index":2,"Rank":8,"Model":"winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","MassiveIntentClassification (nb)":28.65,"MassiveScenarioClassification (nb)":35.24,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
-{"index":3,"Rank":9,"Model":"windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","MassiveIntentClassification (nb)":31.07,"MassiveScenarioClassification (nb)":38.02,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
-{"index":4,"Rank":10,"Model":"xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","MassiveIntentClassification (nb)":"","MassiveScenarioClassification (nb)":"","NoRecClassification":46.28,"NordicLangClassification":79.39,"NorwegianParliament":56.75,"ScalaNbClassification":58.33}
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diff --git a/boards_data/zh/data_overall/default.jsonl b/boards_data/zh/data_overall/default.jsonl
index 1112cccdb1f164ea5fdeb2e0266e03e4302432d5..a4ba1ea56aba812030b1c7927d3a71e6d6e5c014 100644
--- a/boards_data/zh/data_overall/default.jsonl
+++ b/boards_data/zh/data_overall/default.jsonl
@@ -1,291 +1,289 @@
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{"index":50,"Rank":6,"Model":"IYun-large-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":71.04,"Classification Average (9 datasets)":74.18,"Clustering Average (4 datasets)":66.35,"PairClassification Average (2 datasets)":90.87,"Reranking Average (4 datasets)":69.3,"Retrieval Average (8 datasets)":73.56,"STS Average (8 datasets)":63.23}
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{"index":35,"Rank":9,"Model":"Yinka<\/a>","Model Size (Million Parameters)":164,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1792,"Max Tokens":512,"Average (35 datasets)":70.78,"Classification Average (9 datasets)":74.3,"Clustering Average (4 datasets)":61.98,"PairClassification Average (2 datasets)":89.88,"Reranking Average (4 datasets)":69.78,"Retrieval Average (8 datasets)":74.41,"STS Average (8 datasets)":63.33}
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-{"index":111,"Rank":20,"Model":"alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":67.17,"Classification Average (9 datasets)":71.35,"Clustering Average (4 datasets)":54.0,"PairClassification Average (2 datasets)":84.34,"Reranking Average (4 datasets)":67.61,"Retrieval Average (8 datasets)":73.3,"STS Average (8 datasets)":58.41}
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-{"index":44,"Rank":22,"Model":"Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Embedding Dimensions":768,"Max Tokens":1024,"Average (35 datasets)":66.1,"Classification Average (9 datasets)":69.89,"Clustering Average (4 datasets)":50.8,"PairClassification Average (2 datasets)":87.57,"Reranking Average (4 datasets)":66.92,"Retrieval Average (8 datasets)":67.7,"STS Average (8 datasets)":62.13}
-{"index":304,"Rank":23,"Model":"gte-base-zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":65.92,"Classification Average (9 datasets)":71.26,"Clustering Average (4 datasets)":53.86,"PairClassification Average (2 datasets)":80.44,"Reranking Average (4 datasets)":67.0,"Retrieval Average (8 datasets)":71.71,"STS Average (8 datasets)":55.96}
-{"index":22,"Rank":24,"Model":"tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average (35 datasets)":65.5,"Classification Average (9 datasets)":69.05,"Clustering Average (4 datasets)":49.04,"PairClassification Average (2 datasets)":82.68,"Reranking Average (4 datasets)":66.38,"Retrieval Average (8 datasets)":71.85,"STS Average (8 datasets)":58.66}
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-{"index":194,"Rank":26,"Model":"stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average (35 datasets)":65.13,"Classification Average (9 datasets)":69.05,"Clustering Average (4 datasets)":49.16,"PairClassification Average (2 datasets)":82.68,"Reranking Average (4 datasets)":66.41,"Retrieval Average (8 datasets)":70.14,"STS Average (8 datasets)":58.66}
-{"index":193,"Rank":27,"Model":"stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average (35 datasets)":64.54,"Classification Average (9 datasets)":67.62,"Clustering Average (4 datasets)":48.65,"PairClassification Average (2 datasets)":78.72,"Reranking Average (4 datasets)":65.98,"Retrieval Average (8 datasets)":71.02,"STS Average (8 datasets)":58.3}
-{"index":191,"Rank":28,"Model":"stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average (35 datasets)":64.36,"Classification Average (9 datasets)":68.29,"Clustering Average (4 datasets)":49.4,"PairClassification Average (2 datasets)":79.96,"Reranking Average (4 datasets)":66.1,"Retrieval Average (8 datasets)":70.08,"STS Average (8 datasets)":56.92}
-{"index":51,"Rank":29,"Model":"mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":64.25,"Classification Average (9 datasets)":68.21,"Clustering Average (4 datasets)":49.48,"PairClassification Average (2 datasets)":80.01,"Reranking Average (4 datasets)":65.89,"Retrieval Average (8 datasets)":69.59,"STS Average (8 datasets)":57.08}
-{"index":190,"Rank":30,"Model":"stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average (35 datasets)":64.16,"Classification Average (9 datasets)":67.77,"Clustering Average (4 datasets)":48.7,"PairClassification Average (2 datasets)":76.09,"Reranking Average (4 datasets)":66.95,"Retrieval Average (8 datasets)":71.07,"STS Average (8 datasets)":56.54}
-{"index":271,"Rank":31,"Model":"piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":64.11,"Classification Average (9 datasets)":67.03,"Clustering Average (4 datasets)":47.04,"PairClassification Average (2 datasets)":78.38,"Reranking Average (4 datasets)":65.98,"Retrieval Average (8 datasets)":70.93,"STS Average (8 datasets)":58.02}
-{"index":217,"Rank":32,"Model":"jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average (35 datasets)":63.79,"Classification Average (9 datasets)":64.94,"Clustering Average (4 datasets)":46.47,"PairClassification Average (2 datasets)":82.94,"Reranking Average (4 datasets)":66.57,"Retrieval Average (8 datasets)":69.4,"STS Average (8 datasets)":59.39}
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-{"index":20,"Rank":35,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average (35 datasets)":62.72,"Classification Average (9 datasets)":64.27,"Clustering Average (4 datasets)":47.48,"PairClassification Average (2 datasets)":78.34,"Reranking Average (4 datasets)":68.17,"Retrieval Average (8 datasets)":71.95,"STS Average (8 datasets)":52.73}
-{"index":133,"Rank":36,"Model":"kalm-embedding-multilingual-mini<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":62.23,"Classification Average (9 datasets)":67.04,"Clustering Average (4 datasets)":50.11,"PairClassification Average (2 datasets)":73.34,"Reranking Average (4 datasets)":64.52,"Retrieval Average (8 datasets)":69.3,"STS Average (8 datasets)":51.88}
-{"index":38,"Rank":37,"Model":"windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":62.18,"Classification Average (9 datasets)":69.09,"Clustering Average (4 datasets)":48.88,"PairClassification Average (2 datasets)":82.38,"Reranking Average (4 datasets)":62.82,"Retrieval Average (8 datasets)":63.52,"STS Average (8 datasets)":54.35}
-{"index":37,"Rank":38,"Model":"winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":62.09,"Classification Average (9 datasets)":67.89,"Clustering Average (4 datasets)":48.81,"PairClassification Average (2 datasets)":82.38,"Reranking Average (4 datasets)":63.2,"Retrieval Average (8 datasets)":64.11,"STS Average (8 datasets)":54.55}
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-{"index":199,"Rank":40,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (35 datasets)":60.89,"Classification Average (9 datasets)":70.47,"Clustering Average (4 datasets)":52.3,"PairClassification Average (2 datasets)":72.19,"Reranking Average (4 datasets)":61.86,"Retrieval Average (8 datasets)":61.75,"STS Average (8 datasets)":50.22}
-{"index":310,"Rank":41,"Model":"gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":60.08,"Classification Average (9 datasets)":64.49,"Clustering Average (4 datasets)":48.95,"PairClassification Average (2 datasets)":70.0,"Reranking Average (4 datasets)":66.22,"Retrieval Average (8 datasets)":65.5,"STS Average (8 datasets)":49.72}
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-{"index":10,"Rank":64,"Model":"voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
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-{"index":29,"Rank":77,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":31,"Rank":78,"Model":"bge-reranker-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":67.03,"Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
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-{"index":34,"Rank":81,"Model":"bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":44.18,"PairClassification Average (2 datasets)":70.4,"Reranking Average (4 datasets)":60.92,"Retrieval Average (8 datasets)":61.77,"STS Average (8 datasets)":""}
-{"index":41,"Rank":84,"Model":"Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":42,"Rank":85,"Model":"Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":46,"Rank":86,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
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-{"index":48,"Rank":88,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":52,"Rank":89,"Model":"xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
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-{"index":54,"Rank":91,"Model":"STS-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":55,"Rank":92,"Model":"text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":30.02,"PairClassification Average (2 datasets)":71.16,"Reranking Average (4 datasets)":49.16,"Retrieval Average (8 datasets)":41.94,"STS Average (8 datasets)":""}
-{"index":56,"Rank":93,"Model":"bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
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-{"index":58,"Rank":95,"Model":"bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":59,"Rank":96,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average (35 datasets)":"","Classification Average (9 datasets)":72.67,"Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":65.08,"STS Average (8 datasets)":""}
-{"index":60,"Rank":97,"Model":"GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":61,"Rank":98,"Model":"multilingual-e5-large-pooled<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":62,"Rank":99,"Model":"lodestone-base-4096-v1<\/a>","Model Size (Million Parameters)":69,"Memory Usage (GB, fp32)":0.26,"Embedding Dimensions":768,"Max Tokens":4096,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":71,"Rank":108,"Model":"MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":72,"Rank":109,"Model":"bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":73,"Rank":110,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":74,"Rank":111,"Model":"bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
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-{"index":149,"Rank":182,"Model":"NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
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+{"index":274,"Rank":288,"Model":"average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
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+{"index":276,"Rank":290,"Model":"gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
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+{"index":325,"Rank":328,"Model":"text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
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diff --git a/boards_data/zh/data_tasks/Classification/default.jsonl b/boards_data/zh/data_tasks/Classification/default.jsonl
index 5be1ec6d6d61c1ffea4b8f8fc8d97c67726de884..0619948f52267d8e24ce884463b1db1e673e4bed 100644
--- a/boards_data/zh/data_tasks/Classification/default.jsonl
+++ b/boards_data/zh/data_tasks/Classification/default.jsonl
@@ -1,290 +1,287 @@
{"index":17,"Rank":1,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":75.09,"AmazonReviewsClassification (zh)":53.98,"IFlyTek":54.52,"JDReview":86.51,"MassiveIntentClassification (zh-CN)":81.09,"MassiveScenarioClassification (zh-CN)":86.06,"MultilingualSentiment":76.88,"OnlineShopping":94.3,"TNews":52.97,"Waimai":89.47}
-{"index":129,"Rank":2,"Model":"Conan-embedding-v1<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":512,"Average":75.03,"AmazonReviewsClassification (zh)":50.31,"IFlyTek":51.94,"JDReview":90.32,"MassiveIntentClassification (zh-CN)":78.14,"MassiveScenarioClassification (zh-CN)":86.2,"MultilingualSentiment":78.58,"OnlineShopping":95.07,"TNews":55.03,"Waimai":89.7}
-{"index":223,"Rank":3,"Model":"xiaobu-embedding-v2<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":512,"Average":74.67,"AmazonReviewsClassification (zh)":50.07,"IFlyTek":51.76,"JDReview":89.08,"MassiveIntentClassification (zh-CN)":77.45,"MassiveScenarioClassification (zh-CN)":85.3,"MultilingualSentiment":79.45,"OnlineShopping":94.9,"TNews":54.64,"Waimai":89.34}
-{"index":272,"Rank":4,"Model":"piccolo-large-zh-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.59,"AmazonReviewsClassification (zh)":49.44,"IFlyTek":52.1,"JDReview":88.57,"MassiveIntentClassification (zh-CN)":77.71,"MassiveScenarioClassification (zh-CN)":85.63,"MultilingualSentiment":79.09,"OnlineShopping":94.62,"TNews":54.52,"Waimai":89.59}
-{"index":178,"Rank":5,"Model":"XYZ-embedding-zh-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.47,"AmazonReviewsClassification (zh)":49.37,"IFlyTek":52.74,"JDReview":89.08,"MassiveIntentClassification (zh-CN)":77.94,"MassiveScenarioClassification (zh-CN)":83.82,"MultilingualSentiment":78.6,"OnlineShopping":94.94,"TNews":54.31,"Waimai":89.47}
-{"index":188,"Rank":6,"Model":"zpoint_large_embedding_zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":512,"Average":74.43,"AmazonReviewsClassification (zh)":49.72,"IFlyTek":51.7,"JDReview":88.87,"MassiveIntentClassification (zh-CN)":76.79,"MassiveScenarioClassification (zh-CN)":84.96,"MultilingualSentiment":79.22,"OnlineShopping":94.88,"TNews":54.35,"Waimai":89.36}
+{"index":126,"Rank":2,"Model":"Conan-embedding-v1<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":512,"Average":75.03,"AmazonReviewsClassification (zh)":50.31,"IFlyTek":51.94,"JDReview":90.32,"MassiveIntentClassification (zh-CN)":78.14,"MassiveScenarioClassification (zh-CN)":86.2,"MultilingualSentiment":78.58,"OnlineShopping":95.07,"TNews":55.03,"Waimai":89.7}
+{"index":218,"Rank":3,"Model":"xiaobu-embedding-v2<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":512,"Average":74.67,"AmazonReviewsClassification (zh)":50.07,"IFlyTek":51.76,"JDReview":89.08,"MassiveIntentClassification (zh-CN)":77.45,"MassiveScenarioClassification (zh-CN)":85.3,"MultilingualSentiment":79.45,"OnlineShopping":94.9,"TNews":54.64,"Waimai":89.34}
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diff --git a/boards_data/zh/data_tasks/Clustering/default.jsonl b/boards_data/zh/data_tasks/Clustering/default.jsonl
index eeab59e032b28797c48981f17c1bbc51cf532547..f604986a43f3b5f100b9a7cf3ec1bd31cba74835 100644
--- a/boards_data/zh/data_tasks/Clustering/default.jsonl
+++ b/boards_data/zh/data_tasks/Clustering/default.jsonl
@@ -1,72 +1,72 @@
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{"index":50,"Rank":3,"Model":"IYun-large-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":66.35,"CLSClusteringP2P":60.2,"CLSClusteringS2S":58.4,"ThuNewsClusteringP2P":76.98,"ThuNewsClusteringS2S":69.83}
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@@ -102,187 +102,185 @@
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diff --git a/boards_data/zh/data_tasks/PairClassification/default.jsonl b/boards_data/zh/data_tasks/PairClassification/default.jsonl
index 2fafca4e27b68137340c8df432ac78ca7a498eca..5696d4191c4a5c2a4bb690e665dd8bc7a3579358 100644
--- a/boards_data/zh/data_tasks/PairClassification/default.jsonl
+++ b/boards_data/zh/data_tasks/PairClassification/default.jsonl
@@ -1,73 +1,73 @@
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diff --git a/boards_data/zh/data_tasks/Reranking/default.jsonl b/boards_data/zh/data_tasks/Reranking/default.jsonl
index d1659bf0c7c78943f12924168371162059c5a7ac..a0755536c64f48e42378effea7278503c22e7fd3 100644
--- a/boards_data/zh/data_tasks/Reranking/default.jsonl
+++ b/boards_data/zh/data_tasks/Reranking/default.jsonl
@@ -1,86 +1,86 @@
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diff --git a/boards_data/zh/data_tasks/Retrieval/default.jsonl b/boards_data/zh/data_tasks/Retrieval/default.jsonl
index e90353a45a5f990041059755dcc290d0c56c546a..f7dd0c2af69b3eb1d20627a237c9358d0945dc64 100644
--- a/boards_data/zh/data_tasks/Retrieval/default.jsonl
+++ b/boards_data/zh/data_tasks/Retrieval/default.jsonl
@@ -1,90 +1,90 @@
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diff --git a/boards_data/zh/data_tasks/STS/default.jsonl b/boards_data/zh/data_tasks/STS/default.jsonl
index edfdd94a4d074aada5a9f055cbe22a0a47b60e9e..8c41d8154dfac9e2c0a22d07fa40ea8fbf546820 100644
--- a/boards_data/zh/data_tasks/STS/default.jsonl
+++ b/boards_data/zh/data_tasks/STS/default.jsonl
@@ -1,291 +1,288 @@
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+{"index":276,"Rank":291,"Model":"gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":277,"Rank":292,"Model":"gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":27.32,"STSB":""}
+{"index":278,"Rank":293,"Model":"gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":31.16,"STSB":""}
+{"index":279,"Rank":294,"Model":"gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":280,"Rank":295,"Model":"msmarco-bert-co-condensor<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":281,"Rank":296,"Model":"multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":282,"Rank":297,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AFQMC":14.3,"ATEC":18.42,"BQ":38.53,"LCQMC":63.96,"PAWSX":10.13,"QBQTC":"","STS22 (zh)":58.75,"STSB":78.91}
+{"index":283,"Rank":298,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","AFQMC":15.69,"ATEC":20.27,"BQ":36.33,"LCQMC":63.3,"PAWSX":12.16,"QBQTC":"","STS22 (zh)":61.75,"STSB":80.84}
+{"index":284,"Rank":299,"Model":"sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":32.9,"STSB":""}
+{"index":285,"Rank":300,"Model":"sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":30.47,"STSB":""}
+{"index":286,"Rank":301,"Model":"sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":33.55,"STSB":""}
+{"index":287,"Rank":302,"Model":"sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":289,"Rank":303,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":290,"Rank":304,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":32.83,"STSB":""}
+{"index":294,"Rank":305,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":256,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":63.24,"STSB":""}
+{"index":297,"Rank":306,"Model":"BAAI-bge-reranker-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":298,"Rank":307,"Model":"gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":300,"Rank":308,"Model":"gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":302,"Rank":309,"Model":"gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":308,"Rank":312,"Model":"universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":309,"Rank":313,"Model":"universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":310,"Rank":314,"Model":"b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":311,"Rank":315,"Model":"b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":312,"Rank":316,"Model":"b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":314,"Rank":318,"Model":"hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":315,"Rank":319,"Model":"bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":320,"Rank":324,"Model":"Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":323,"Rank":326,"Model":"text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":324,"Rank":327,"Model":"text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":325,"Rank":328,"Model":"text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":326,"Rank":329,"Model":"text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":328,"Rank":330,"Model":"text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":329,"Rank":331,"Model":"text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":330,"Rank":332,"Model":"text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
+{"index":332,"Rank":333,"Model":"elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
diff --git a/model_meta.yaml b/model_meta.yaml
index 46cb2a54e755f2023f17bac2dd42bc2923127f24..e653ba93dad8450a3988822a693ea9a6eee574b2 100644
--- a/model_meta.yaml
+++ b/model_meta.yaml
@@ -2052,6 +2052,16 @@ models_to_skip:
- linhphanff/stella_en_1.5B_v5_clone
- BN7002/gte-Qwen2-7B-instruct-Q4_K_M-GGUF
- DecisionOptimizationSystemProduction/DeepFeatTextEmbeddingLarge
+- Hiveurban/multilingual-e5-large-pooled
+- KeyurRamoliya/multilingual-e5-large-GGUF
+- SkyeTeam/stella_en_400m
+- yixuan-chia/snowflake-arctic-embed-m-long-Q8_0-GGUF
+- aimlresearch2023/snowflake-arctic-embed-m-v1.5-Q8_0-GGUF
+- twadada/nmc-nignore15
+- twadada/nmc-nignore30
+- twadada/nmc-nignore50
+- twadada/nmc-300-w75k-b10k
+- twadada/nmc-300-w50k-b10k
cross_encoders:
- FollowIR-7B
- flan-t5-base