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README.md
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---
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quantized_by: bartowski
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pipeline_tag: text-generation
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language:
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- en
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- ar
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- cs
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- de
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- es
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- fr
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- it
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- ja
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- ko
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- nl
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- pt
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- zh
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tags:
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- language
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- granite
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- embeddings
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- multilingual
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license: apache-2.0
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base_model: ibm-granite/granite-embedding-278m-multilingual
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model-index:
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- name: ibm-granite/granite-embedding-278m-multilingual
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results:
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- task:
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type: Retrieval
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dataset:
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name: Miracl (en)
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type: miracl/mmteb-miracl
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config: en
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.45557
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- type: ndcg_at_10
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value: 0.49372
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- type: ndcg_at_100
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value: 0.5728
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- type: ndcg_at_1000
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value: 0.59187
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- type: ndcg_at_20
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value: 0.52863
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- type: ndcg_at_3
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value: 0.43969
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- type: ndcg_at_5
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value: 0.45551
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- type: recall_at_1
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value: 0.21785
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- type: recall_at_10
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value: 0.59513
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- type: recall_at_100
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value: 0.85785
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- type: recall_at_1000
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value: 0.96041
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- type: recall_at_20
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value: 0.69357
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- type: recall_at_3
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value: 0.40403
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- type: recall_at_5
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value: 0.48499
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- task:
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type: Retrieval
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dataset:
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name: Miracl (ar)
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type: miracl/mmteb-miracl
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config: ar
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.57459
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- type: ndcg_at_10
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value: 0.64238
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- type: ndcg_at_100
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value: 0.6867
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- type: ndcg_at_1000
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value: 0.6951
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- type: ndcg_at_20
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value: 0.66455
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- type: ndcg_at_3
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value: 0.58162
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- type: ndcg_at_5
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value: 0.60831
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- type: recall_at_1
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value: 0.38064
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- type: recall_at_10
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value: 0.75098
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- type: recall_at_100
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value: 0.91203
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- type: recall_at_1000
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value: 0.96706
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- type: recall_at_20
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value: 0.81978
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- type: recall_at_3
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value: 0.58618
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- type: recall_at_5
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value: 0.66353
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- task:
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type: Retrieval
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dataset:
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name: Miracl (bn)
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type: miracl/mmteb-miracl
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config: bn
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.60341
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- type: ndcg_at_10
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value: 0.68055
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- type: ndcg_at_100
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value: 0.72008
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- type: ndcg_at_1000
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value: 0.72716
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- type: ndcg_at_20
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value: 0.69914
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- type: ndcg_at_3
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value: 0.60805
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- type: ndcg_at_5
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value: 0.64486
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- type: recall_at_1
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value: 0.37948
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- type: recall_at_10
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value: 0.80609
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- type: recall_at_100
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value: 0.94305
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- type: recall_at_1000
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value: 0.98625
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- type: recall_at_20
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value: 0.86141
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- type: recall_at_3
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value: 0.61095
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- type: recall_at_5
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value: 0.71316
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- task:
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type: Retrieval
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dataset:
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name: Miracl (de)
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type: miracl/mmteb-miracl
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config: de
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.45574
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- type: ndcg_at_10
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value: 0.48123
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- type: ndcg_at_100
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value: 0.56049
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- type: ndcg_at_1000
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value: 0.57979
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- type: ndcg_at_20
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value: 0.51785
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- type: ndcg_at_3
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value: 0.41243
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- type: ndcg_at_5
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value: 0.4386
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- type: recall_at_1
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value: 0.20401
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- type: recall_at_10
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value: 0.58779
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- type: recall_at_100
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value: 0.8584
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- type: recall_at_1000
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value: 0.97364
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- type: recall_at_20
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value: 0.69061
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- type: recall_at_3
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value: 0.36573
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- type: recall_at_5
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value: 0.47495
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- task:
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type: Retrieval
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dataset:
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name: Miracl (es)
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type: miracl/mmteb-miracl
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config: es
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.5571
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- type: ndcg_at_10
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value: 0.49688
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- type: ndcg_at_100
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value: 0.60493
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- type: ndcg_at_1000
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value: 0.62922
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- type: ndcg_at_20
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value: 0.54438
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- type: ndcg_at_3
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value: 0.47981
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- type: ndcg_at_5
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value: 0.46584
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- type: recall_at_1
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value: 0.1638
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- type: recall_at_10
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value: 0.54155
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- type: recall_at_100
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value: 0.85136
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- type: recall_at_1000
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value: 0.96951
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- type: recall_at_20
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value: 0.65329
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- type: recall_at_3
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value: 0.31503
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- type: recall_at_5
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value: 0.40356
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- task:
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type: Retrieval
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dataset:
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name: Miracl (fa)
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type: miracl/mmteb-miracl
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config: fa
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.39873
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- type: ndcg_at_10
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value: 0.50226
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- type: ndcg_at_100
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value: 0.56517
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- type: ndcg_at_1000
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value: 0.57967
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- type: ndcg_at_20
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value: 0.5292
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- type: ndcg_at_3
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value: 0.42738
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- type: ndcg_at_5
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value: 0.45843
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- type: recall_at_1
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value: 0.25369
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- type: recall_at_10
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value: 0.63776
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- type: recall_at_100
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value: 0.87686
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- type: recall_at_1000
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value: 0.9671
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- type: recall_at_20
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value: 0.72099
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- type: recall_at_3
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value: 0.43808
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- type: recall_at_5
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value: 0.52378
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- task:
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type: Retrieval
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dataset:
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name: Miracl (fi)
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type: miracl/mmteb-miracl
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config: fi
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.60818
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- type: ndcg_at_10
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value: 0.6746
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- type: ndcg_at_100
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256 |
-
value: 0.71516
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-
- type: ndcg_at_1000
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258 |
-
value: 0.7218
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- type: ndcg_at_20
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value: 0.69692
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- type: ndcg_at_3
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-
value: 0.6006
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- type: ndcg_at_5
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value: 0.63842
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-
- type: recall_at_1
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-
value: 0.39264
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- type: recall_at_10
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-
value: 0.78577
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- type: recall_at_100
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-
value: 0.93291
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-
- type: recall_at_1000
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-
value: 0.97493
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- type: recall_at_20
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value: 0.85435
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-
- type: recall_at_3
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value: 0.61055
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-
- type: recall_at_5
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value: 0.69774
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- task:
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type: Retrieval
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dataset:
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name: Miracl (fr)
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type: miracl/mmteb-miracl
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config: fr
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.3965
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- type: ndcg_at_10
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value: 0.49891
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- type: ndcg_at_100
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value: 0.56492
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- type: ndcg_at_1000
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value: 0.57837
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-
- type: ndcg_at_20
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value: 0.53163
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-
- type: ndcg_at_3
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-
value: 0.39843
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-
- type: ndcg_at_5
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-
value: 0.44416
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-
- type: recall_at_1
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-
value: 0.22644
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-
- type: recall_at_10
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-
value: 0.65169
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-
- type: recall_at_100
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-
value: 0.89786
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-
- type: recall_at_1000
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-
value: 0.98081
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-
- type: recall_at_20
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-
value: 0.75338
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-
- type: recall_at_3
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-
value: 0.39798
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-
- type: recall_at_5
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314 |
-
value: 0.51001
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-
- task:
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type: Retrieval
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dataset:
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name: Miracl (hi)
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type: miracl/mmteb-miracl
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config: hi
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split: dev
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metrics:
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- type: ndcg_at_1
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value: 0.36857
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-
- type: ndcg_at_10
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-
value: 0.46141
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-
- type: ndcg_at_100
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-
value: 0.52565
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329 |
-
- type: ndcg_at_1000
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330 |
-
value: 0.54319
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-
- type: ndcg_at_20
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-
value: 0.49384
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-
- type: ndcg_at_3
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-
value: 0.39469
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-
- type: ndcg_at_5
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-
value: 0.4184
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-
- type: recall_at_1
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-
value: 0.20185
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339 |
-
- type: recall_at_10
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340 |
-
value: 0.59474
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341 |
-
- type: recall_at_100
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342 |
-
value: 0.83385
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343 |
-
- type: recall_at_1000
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344 |
-
value: 0.94813
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345 |
-
- type: recall_at_20
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346 |
-
value: 0.69437
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347 |
-
- type: recall_at_3
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348 |
-
value: 0.38993
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349 |
-
- type: recall_at_5
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350 |
-
value: 0.47881
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351 |
-
- task:
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-
type: Retrieval
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dataset:
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name: Miracl (id)
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type: miracl/mmteb-miracl
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config: id
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split: dev
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metrics:
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-
- type: ndcg_at_1
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-
value: 0.46354
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-
- type: ndcg_at_10
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362 |
-
value: 0.47229
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363 |
-
- type: ndcg_at_100
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364 |
-
value: 0.5525
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365 |
-
- type: ndcg_at_1000
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-
value: 0.57648
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-
- type: ndcg_at_20
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368 |
-
value: 0.50606
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369 |
-
- type: ndcg_at_3
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-
value: 0.42538
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-
- type: ndcg_at_5
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-
value: 0.43717
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-
- type: recall_at_1
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-
value: 0.20787
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-
- type: recall_at_10
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-
value: 0.54771
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377 |
-
- type: recall_at_100
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378 |
-
value: 0.80689
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379 |
-
- type: recall_at_1000
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380 |
-
value: 0.94032
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381 |
-
- type: recall_at_20
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382 |
-
value: 0.63842
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383 |
-
- type: recall_at_3
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384 |
-
value: 0.36229
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385 |
-
- type: recall_at_5
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386 |
-
value: 0.44437
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387 |
-
- task:
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-
type: Retrieval
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-
dataset:
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name: Miracl (ja)
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type: miracl/mmteb-miracl
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config: ja
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split: dev
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metrics:
|
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-
- type: ndcg_at_1
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-
value: 0.56279
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-
- type: ndcg_at_10
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398 |
-
value: 0.6281
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399 |
-
- type: ndcg_at_100
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400 |
-
value: 0.67757
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401 |
-
- type: ndcg_at_1000
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402 |
-
value: 0.68667
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-
- type: ndcg_at_20
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404 |
-
value: 0.6521
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-
- type: ndcg_at_3
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-
value: 0.56226
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-
- type: ndcg_at_5
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408 |
-
value: 0.5866
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409 |
-
- type: recall_at_1
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410 |
-
value: 0.36648
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411 |
-
- type: recall_at_10
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412 |
-
value: 0.7496
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413 |
-
- type: recall_at_100
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414 |
-
value: 0.92461
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415 |
-
- type: recall_at_1000
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416 |
-
value: 0.97827
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417 |
-
- type: recall_at_20
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418 |
-
value: 0.82326
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419 |
-
- type: recall_at_3
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420 |
-
value: 0.55845
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421 |
-
- type: recall_at_5
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422 |
-
value: 0.63854
|
423 |
-
- task:
|
424 |
-
type: Retrieval
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425 |
-
dataset:
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426 |
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name: Miracl (ko)
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427 |
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type: miracl/mmteb-miracl
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428 |
-
config: ko
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429 |
-
split: dev
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430 |
-
metrics:
|
431 |
-
- type: ndcg_at_1
|
432 |
-
value: 0.52582
|
433 |
-
- type: ndcg_at_10
|
434 |
-
value: 0.59216
|
435 |
-
- type: ndcg_at_100
|
436 |
-
value: 0.65093
|
437 |
-
- type: ndcg_at_1000
|
438 |
-
value: 0.66204
|
439 |
-
- type: ndcg_at_20
|
440 |
-
value: 0.62427
|
441 |
-
- type: ndcg_at_3
|
442 |
-
value: 0.5373
|
443 |
-
- type: ndcg_at_5
|
444 |
-
value: 0.55886
|
445 |
-
- type: recall_at_1
|
446 |
-
value: 0.30521
|
447 |
-
- type: recall_at_10
|
448 |
-
value: 0.71159
|
449 |
-
- type: recall_at_100
|
450 |
-
value: 0.90203
|
451 |
-
- type: recall_at_1000
|
452 |
-
value: 0.96714
|
453 |
-
- type: recall_at_20
|
454 |
-
value: 0.80209
|
455 |
-
- type: recall_at_3
|
456 |
-
value: 0.515
|
457 |
-
- type: recall_at_5
|
458 |
-
value: 0.6071
|
459 |
-
- task:
|
460 |
-
type: Retrieval
|
461 |
-
dataset:
|
462 |
-
name: Miracl (ru)
|
463 |
-
type: miracl/mmteb-miracl
|
464 |
-
config: ru
|
465 |
-
split: dev
|
466 |
-
metrics:
|
467 |
-
- type: ndcg_at_1
|
468 |
-
value: 0.47524
|
469 |
-
- type: ndcg_at_10
|
470 |
-
value: 0.52349
|
471 |
-
- type: ndcg_at_100
|
472 |
-
value: 0.59725
|
473 |
-
- type: ndcg_at_1000
|
474 |
-
value: 0.61313
|
475 |
-
- type: ndcg_at_20
|
476 |
-
value: 0.55669
|
477 |
-
- type: ndcg_at_3
|
478 |
-
value: 0.46812
|
479 |
-
- type: ndcg_at_5
|
480 |
-
value: 0.48442
|
481 |
-
- type: recall_at_1
|
482 |
-
value: 0.24337
|
483 |
-
- type: recall_at_10
|
484 |
-
value: 0.62437
|
485 |
-
- type: recall_at_100
|
486 |
-
value: 0.86489
|
487 |
-
- type: recall_at_1000
|
488 |
-
value: 0.95266
|
489 |
-
- type: recall_at_20
|
490 |
-
value: 0.71411
|
491 |
-
- type: recall_at_3
|
492 |
-
value: 0.42927
|
493 |
-
- type: recall_at_5
|
494 |
-
value: 0.51258
|
495 |
-
- task:
|
496 |
-
type: Retrieval
|
497 |
-
dataset:
|
498 |
-
name: Miracl (sw)
|
499 |
-
type: miracl/mmteb-miracl
|
500 |
-
config: sw
|
501 |
-
split: dev
|
502 |
-
metrics:
|
503 |
-
- type: ndcg_at_1
|
504 |
-
value: 0.5166
|
505 |
-
- type: ndcg_at_10
|
506 |
-
value: 0.61271
|
507 |
-
- type: ndcg_at_100
|
508 |
-
value: 0.66099
|
509 |
-
- type: ndcg_at_1000
|
510 |
-
value: 0.66867
|
511 |
-
- type: ndcg_at_20
|
512 |
-
value: 0.63643
|
513 |
-
- type: ndcg_at_3
|
514 |
-
value: 0.54828
|
515 |
-
- type: ndcg_at_5
|
516 |
-
value: 0.57382
|
517 |
-
- type: recall_at_1
|
518 |
-
value: 0.35277
|
519 |
-
- type: recall_at_10
|
520 |
-
value: 0.74368
|
521 |
-
- type: recall_at_100
|
522 |
-
value: 0.92261
|
523 |
-
- type: recall_at_1000
|
524 |
-
value: 0.97109
|
525 |
-
- type: recall_at_20
|
526 |
-
value: 0.81888
|
527 |
-
- type: recall_at_3
|
528 |
-
value: 0.56739
|
529 |
-
- type: recall_at_5
|
530 |
-
value: 0.6421
|
531 |
-
- task:
|
532 |
-
type: Retrieval
|
533 |
-
dataset:
|
534 |
-
name: Miracl (te)
|
535 |
-
type: miracl/mmteb-miracl
|
536 |
-
config: te
|
537 |
-
split: dev
|
538 |
-
metrics:
|
539 |
-
- type: ndcg_at_1
|
540 |
-
value: 0.63768
|
541 |
-
- type: ndcg_at_10
|
542 |
-
value: 0.79193
|
543 |
-
- type: ndcg_at_100
|
544 |
-
value: 0.80243
|
545 |
-
- type: ndcg_at_1000
|
546 |
-
value: 0.80438
|
547 |
-
- type: ndcg_at_20
|
548 |
-
value: 0.79549
|
549 |
-
- type: ndcg_at_3
|
550 |
-
value: 0.76031
|
551 |
-
- type: ndcg_at_5
|
552 |
-
value: 0.77915
|
553 |
-
- type: recall_at_1
|
554 |
-
value: 0.63084
|
555 |
-
- type: recall_at_10
|
556 |
-
value: 0.92411
|
557 |
-
- type: recall_at_100
|
558 |
-
value: 0.97363
|
559 |
-
- type: recall_at_1000
|
560 |
-
value: 0.98833
|
561 |
-
- type: recall_at_20
|
562 |
-
value: 0.9374
|
563 |
-
- type: recall_at_3
|
564 |
-
value: 0.84159
|
565 |
-
- type: recall_at_5
|
566 |
-
value: 0.88627
|
567 |
-
- task:
|
568 |
-
type: Retrieval
|
569 |
-
dataset:
|
570 |
-
name: Miracl (th)
|
571 |
-
type: miracl/mmteb-miracl
|
572 |
-
config: th
|
573 |
-
split: dev
|
574 |
-
metrics:
|
575 |
-
- type: ndcg_at_1
|
576 |
-
value: 0.66712
|
577 |
-
- type: ndcg_at_10
|
578 |
-
value: 0.73324
|
579 |
-
- type: ndcg_at_100
|
580 |
-
value: 0.76633
|
581 |
-
- type: ndcg_at_1000
|
582 |
-
value: 0.77119
|
583 |
-
- type: ndcg_at_20
|
584 |
-
value: 0.75243
|
585 |
-
- type: ndcg_at_3
|
586 |
-
value: 0.67393
|
587 |
-
- type: ndcg_at_5
|
588 |
-
value: 0.70201
|
589 |
-
- type: recall_at_1
|
590 |
-
value: 0.47106
|
591 |
-
- type: recall_at_10
|
592 |
-
value: 0.84294
|
593 |
-
- type: recall_at_100
|
594 |
-
value: 0.95949
|
595 |
-
- type: recall_at_1000
|
596 |
-
value: 0.98874
|
597 |
-
- type: recall_at_20
|
598 |
-
value: 0.90085
|
599 |
-
- type: recall_at_3
|
600 |
-
value: 0.68456
|
601 |
-
- type: recall_at_5
|
602 |
-
value: 0.75915
|
603 |
-
- task:
|
604 |
-
type: Retrieval
|
605 |
-
dataset:
|
606 |
-
name: Miracl (yo)
|
607 |
-
type: miracl/mmteb-miracl
|
608 |
-
config: yo
|
609 |
-
split: dev
|
610 |
-
metrics:
|
611 |
-
- type: ndcg_at_1
|
612 |
-
value: 0.4958
|
613 |
-
- type: ndcg_at_10
|
614 |
-
value: 0.68705
|
615 |
-
- type: ndcg_at_100
|
616 |
-
value: 0.70664
|
617 |
-
- type: ndcg_at_1000
|
618 |
-
value: 0.71197
|
619 |
-
- type: ndcg_at_20
|
620 |
-
value: 0.698
|
621 |
-
- type: ndcg_at_3
|
622 |
-
value: 0.64793
|
623 |
-
- type: ndcg_at_5
|
624 |
-
value: 0.66709
|
625 |
-
- type: recall_at_1
|
626 |
-
value: 0.46289
|
627 |
-
- type: recall_at_10
|
628 |
-
value: 0.85154
|
629 |
-
- type: recall_at_100
|
630 |
-
value: 0.93557
|
631 |
-
- type: recall_at_1000
|
632 |
-
value: 0.97479
|
633 |
-
- type: recall_at_20
|
634 |
-
value: 0.89076
|
635 |
-
- type: recall_at_3
|
636 |
-
value: 0.7507
|
637 |
-
- type: recall_at_5
|
638 |
-
value: 0.79202
|
639 |
-
- task:
|
640 |
-
type: Retrieval
|
641 |
-
dataset:
|
642 |
-
name: Miracl (zh)
|
643 |
-
type: miracl/mmteb-miracl
|
644 |
-
config: zh
|
645 |
-
split: dev
|
646 |
-
metrics:
|
647 |
-
- type: ndcg_at_1
|
648 |
-
value: 0.47583
|
649 |
-
- type: ndcg_at_10
|
650 |
-
value: 0.52553
|
651 |
-
- type: ndcg_at_100
|
652 |
-
value: 0.6
|
653 |
-
- type: ndcg_at_1000
|
654 |
-
value: 0.61415
|
655 |
-
- type: ndcg_at_20
|
656 |
-
value: 0.55668
|
657 |
-
- type: ndcg_at_3
|
658 |
-
value: 0.45839
|
659 |
-
- type: ndcg_at_5
|
660 |
-
value: 0.48127
|
661 |
-
- type: recall_at_1
|
662 |
-
value: 0.24488
|
663 |
-
- type: recall_at_10
|
664 |
-
value: 0.63659
|
665 |
-
- type: recall_at_100
|
666 |
-
value: 0.89702
|
667 |
-
- type: recall_at_1000
|
668 |
-
value: 0.97996
|
669 |
-
- type: recall_at_20
|
670 |
-
value: 0.72652
|
671 |
-
- type: recall_at_3
|
672 |
-
value: 0.42827
|
673 |
-
- type: recall_at_5
|
674 |
-
value: 0.52081
|
675 |
---
|
676 |
|
677 |
## Llamacpp Static Quantizations of granite-embedding-278m-multilingual
|
678 |
|
679 |
-
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/
|
680 |
|
681 |
Original model: https://huggingface.co/ibm-granite/granite-embedding-278m-multilingual
|
682 |
|
@@ -686,6 +15,10 @@ Run them in [LM Studio](https://lmstudio.ai/)
|
|
686 |
|
687 |
No prompt format found, check original model page
|
688 |
|
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|
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|
689 |
## Download a file (not the whole branch) from below:
|
690 |
|
691 |
| Filename | Quant type | File Size | Split | Description |
|
|
|
1 |
---
|
2 |
quantized_by: bartowski
|
3 |
pipeline_tag: text-generation
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4 |
---
|
5 |
|
6 |
## Llamacpp Static Quantizations of granite-embedding-278m-multilingual
|
7 |
|
8 |
+
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4381">b4381</a> for quantization.
|
9 |
|
10 |
Original model: https://huggingface.co/ibm-granite/granite-embedding-278m-multilingual
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15 |
|
16 |
No prompt format found, check original model page
|
17 |
|
18 |
+
## What's new:
|
19 |
+
|
20 |
+
Fix tokenizer
|
21 |
+
|
22 |
## Download a file (not the whole branch) from below:
|
23 |
|
24 |
| Filename | Quant type | File Size | Split | Description |
|