Replace YAML keys from int to str

#2
by albertvillanova HF staff - opened
Files changed (1) hide show
  1. README.md +156 -157
README.md CHANGED
@@ -1,6 +1,8 @@
1
  ---
2
  annotations_creators:
3
  - other
 
 
4
  language:
5
  - as
6
  - bn
@@ -14,13 +16,10 @@ language:
14
  - pa
15
  - ta
16
  - te
17
- language_creators:
18
- - found
19
  license:
20
  - other
21
  multilinguality:
22
  - multilingual
23
- pretty_name: IndicGLUE
24
  size_categories:
25
  - 100K<n<1M
26
  source_datasets:
@@ -36,7 +35,7 @@ task_ids:
36
  - semantic-similarity-scoring
37
  - named-entity-recognition
38
  - multiple-choice-qa
39
- paperswithcode_id: null
40
  tags:
41
  - discourse-mode-classification
42
  - paraphrase-identification
@@ -53,9 +52,9 @@ dataset_info:
53
  dtype:
54
  class_label:
55
  names:
56
- 0: not_entailment
57
- 1: entailment
58
- 2: None
59
  splits:
60
  - name: train
61
  num_bytes: 104577
@@ -78,9 +77,9 @@ dataset_info:
78
  dtype:
79
  class_label:
80
  names:
81
- 0: not_entailment
82
- 1: entailment
83
- 2: None
84
  splits:
85
  - name: train
86
  num_bytes: 253342
@@ -103,9 +102,9 @@ dataset_info:
103
  dtype:
104
  class_label:
105
  names:
106
- 0: not_entailment
107
- 1: entailment
108
- 2: None
109
  splits:
110
  - name: train
111
  num_bytes: 251562
@@ -128,9 +127,9 @@ dataset_info:
128
  dtype:
129
  class_label:
130
  names:
131
- 0: not_entailment
132
- 1: entailment
133
- 2: None
134
  splits:
135
  - name: train
136
  num_bytes: 256657
@@ -247,12 +246,12 @@ dataset_info:
247
  dtype:
248
  class_label:
249
  names:
250
- 0: kolkata
251
- 1: state
252
- 2: national
253
- 3: sports
254
- 4: entertainment
255
- 5: international
256
  splits:
257
  - name: train
258
  num_bytes: 46070054
@@ -801,16 +800,16 @@ dataset_info:
801
  dtype:
802
  class_label:
803
  names:
804
- 0: entertainment
805
- 1: business
806
- 2: tech
807
- 3: sports
808
- 4: state
809
- 5: spirituality
810
- 6: tamil-cinema
811
- 7: positive
812
- 8: negative
813
- 9: neutral
814
  splits:
815
  - name: train
816
  num_bytes: 883067
@@ -831,16 +830,16 @@ dataset_info:
831
  dtype:
832
  class_label:
833
  names:
834
- 0: entertainment
835
- 1: business
836
- 2: tech
837
- 3: sports
838
- 4: state
839
- 5: spirituality
840
- 6: tamil-cinema
841
- 7: positive
842
- 8: negative
843
- 9: neutral
844
  splits:
845
  - name: train
846
  num_bytes: 1108149
@@ -861,16 +860,16 @@ dataset_info:
861
  dtype:
862
  class_label:
863
  names:
864
- 0: entertainment
865
- 1: business
866
- 2: tech
867
- 3: sports
868
- 4: state
869
- 5: spirituality
870
- 6: tamil-cinema
871
- 7: positive
872
- 8: negative
873
- 9: neutral
874
  splits:
875
  - name: train
876
  num_bytes: 1462618
@@ -891,16 +890,16 @@ dataset_info:
891
  dtype:
892
  class_label:
893
  names:
894
- 0: entertainment
895
- 1: business
896
- 2: tech
897
- 3: sports
898
- 4: state
899
- 5: spirituality
900
- 6: tamil-cinema
901
- 7: positive
902
- 8: negative
903
- 9: neutral
904
  splits:
905
  - name: train
906
  num_bytes: 2659573
@@ -921,16 +920,16 @@ dataset_info:
921
  dtype:
922
  class_label:
923
  names:
924
- 0: entertainment
925
- 1: business
926
- 2: tech
927
- 3: sports
928
- 4: state
929
- 5: spirituality
930
- 6: tamil-cinema
931
- 7: positive
932
- 8: negative
933
- 9: neutral
934
  splits:
935
  - name: train
936
  num_bytes: 1361671
@@ -1074,9 +1073,9 @@ dataset_info:
1074
  dtype:
1075
  class_label:
1076
  names:
1077
- 0: negative
1078
- 1: neutral
1079
- 2: positive
1080
  splits:
1081
  - name: train
1082
  num_bytes: 6704909
@@ -1097,9 +1096,9 @@ dataset_info:
1097
  dtype:
1098
  class_label:
1099
  names:
1100
- 0: negative
1101
- 1: neutral
1102
- 2: positive
1103
  splits:
1104
  - name: train
1105
  num_bytes: 945593
@@ -1120,8 +1119,8 @@ dataset_info:
1120
  dtype:
1121
  class_label:
1122
  names:
1123
- 0: positive
1124
- 1: negative
1125
  splits:
1126
  - name: train
1127
  num_bytes: 1370911
@@ -1164,13 +1163,13 @@ dataset_info:
1164
  sequence:
1165
  class_label:
1166
  names:
1167
- 0: B-LOC
1168
- 1: B-ORG
1169
- 2: B-PER
1170
- 3: I-LOC
1171
- 4: I-ORG
1172
- 5: I-PER
1173
- 6: O
1174
  - name: additional_info
1175
  sequence:
1176
  sequence: string
@@ -1194,13 +1193,13 @@ dataset_info:
1194
  sequence:
1195
  class_label:
1196
  names:
1197
- 0: B-LOC
1198
- 1: B-ORG
1199
- 2: B-PER
1200
- 3: I-LOC
1201
- 4: I-ORG
1202
- 5: I-PER
1203
- 6: O
1204
  - name: additional_info
1205
  sequence:
1206
  sequence: string
@@ -1224,13 +1223,13 @@ dataset_info:
1224
  sequence:
1225
  class_label:
1226
  names:
1227
- 0: B-LOC
1228
- 1: B-ORG
1229
- 2: B-PER
1230
- 3: I-LOC
1231
- 4: I-ORG
1232
- 5: I-PER
1233
- 6: O
1234
  - name: additional_info
1235
  sequence:
1236
  sequence: string
@@ -1254,13 +1253,13 @@ dataset_info:
1254
  sequence:
1255
  class_label:
1256
  names:
1257
- 0: B-LOC
1258
- 1: B-ORG
1259
- 2: B-PER
1260
- 3: I-LOC
1261
- 4: I-ORG
1262
- 5: I-PER
1263
- 6: O
1264
  - name: additional_info
1265
  sequence:
1266
  sequence: string
@@ -1284,13 +1283,13 @@ dataset_info:
1284
  sequence:
1285
  class_label:
1286
  names:
1287
- 0: B-LOC
1288
- 1: B-ORG
1289
- 2: B-PER
1290
- 3: I-LOC
1291
- 4: I-ORG
1292
- 5: I-PER
1293
- 6: O
1294
  - name: additional_info
1295
  sequence:
1296
  sequence: string
@@ -1314,13 +1313,13 @@ dataset_info:
1314
  sequence:
1315
  class_label:
1316
  names:
1317
- 0: B-LOC
1318
- 1: B-ORG
1319
- 2: B-PER
1320
- 3: I-LOC
1321
- 4: I-ORG
1322
- 5: I-PER
1323
- 6: O
1324
  - name: additional_info
1325
  sequence:
1326
  sequence: string
@@ -1344,13 +1343,13 @@ dataset_info:
1344
  sequence:
1345
  class_label:
1346
  names:
1347
- 0: B-LOC
1348
- 1: B-ORG
1349
- 2: B-PER
1350
- 3: I-LOC
1351
- 4: I-ORG
1352
- 5: I-PER
1353
- 6: O
1354
  - name: additional_info
1355
  sequence:
1356
  sequence: string
@@ -1374,13 +1373,13 @@ dataset_info:
1374
  sequence:
1375
  class_label:
1376
  names:
1377
- 0: B-LOC
1378
- 1: B-ORG
1379
- 2: B-PER
1380
- 3: I-LOC
1381
- 4: I-ORG
1382
- 5: I-PER
1383
- 6: O
1384
  - name: additional_info
1385
  sequence:
1386
  sequence: string
@@ -1404,13 +1403,13 @@ dataset_info:
1404
  sequence:
1405
  class_label:
1406
  names:
1407
- 0: B-LOC
1408
- 1: B-ORG
1409
- 2: B-PER
1410
- 3: I-LOC
1411
- 4: I-ORG
1412
- 5: I-PER
1413
- 6: O
1414
  - name: additional_info
1415
  sequence:
1416
  sequence: string
@@ -1434,13 +1433,13 @@ dataset_info:
1434
  sequence:
1435
  class_label:
1436
  names:
1437
- 0: B-LOC
1438
- 1: B-ORG
1439
- 2: B-PER
1440
- 3: I-LOC
1441
- 4: I-ORG
1442
- 5: I-PER
1443
- 6: O
1444
  - name: additional_info
1445
  sequence:
1446
  sequence: string
@@ -1464,13 +1463,13 @@ dataset_info:
1464
  sequence:
1465
  class_label:
1466
  names:
1467
- 0: B-LOC
1468
- 1: B-ORG
1469
- 2: B-PER
1470
- 3: I-LOC
1471
- 4: I-ORG
1472
- 5: I-PER
1473
- 6: O
1474
  - name: additional_info
1475
  sequence:
1476
  sequence: string
 
1
  ---
2
  annotations_creators:
3
  - other
4
+ language_creators:
5
+ - found
6
  language:
7
  - as
8
  - bn
 
16
  - pa
17
  - ta
18
  - te
 
 
19
  license:
20
  - other
21
  multilinguality:
22
  - multilingual
 
23
  size_categories:
24
  - 100K<n<1M
25
  source_datasets:
 
35
  - semantic-similarity-scoring
36
  - named-entity-recognition
37
  - multiple-choice-qa
38
+ pretty_name: IndicGLUE
39
  tags:
40
  - discourse-mode-classification
41
  - paraphrase-identification
 
52
  dtype:
53
  class_label:
54
  names:
55
+ '0': not_entailment
56
+ '1': entailment
57
+ '2': None
58
  splits:
59
  - name: train
60
  num_bytes: 104577
 
77
  dtype:
78
  class_label:
79
  names:
80
+ '0': not_entailment
81
+ '1': entailment
82
+ '2': None
83
  splits:
84
  - name: train
85
  num_bytes: 253342
 
102
  dtype:
103
  class_label:
104
  names:
105
+ '0': not_entailment
106
+ '1': entailment
107
+ '2': None
108
  splits:
109
  - name: train
110
  num_bytes: 251562
 
127
  dtype:
128
  class_label:
129
  names:
130
+ '0': not_entailment
131
+ '1': entailment
132
+ '2': None
133
  splits:
134
  - name: train
135
  num_bytes: 256657
 
246
  dtype:
247
  class_label:
248
  names:
249
+ '0': kolkata
250
+ '1': state
251
+ '2': national
252
+ '3': sports
253
+ '4': entertainment
254
+ '5': international
255
  splits:
256
  - name: train
257
  num_bytes: 46070054
 
800
  dtype:
801
  class_label:
802
  names:
803
+ '0': entertainment
804
+ '1': business
805
+ '2': tech
806
+ '3': sports
807
+ '4': state
808
+ '5': spirituality
809
+ '6': tamil-cinema
810
+ '7': positive
811
+ '8': negative
812
+ '9': neutral
813
  splits:
814
  - name: train
815
  num_bytes: 883067
 
830
  dtype:
831
  class_label:
832
  names:
833
+ '0': entertainment
834
+ '1': business
835
+ '2': tech
836
+ '3': sports
837
+ '4': state
838
+ '5': spirituality
839
+ '6': tamil-cinema
840
+ '7': positive
841
+ '8': negative
842
+ '9': neutral
843
  splits:
844
  - name: train
845
  num_bytes: 1108149
 
860
  dtype:
861
  class_label:
862
  names:
863
+ '0': entertainment
864
+ '1': business
865
+ '2': tech
866
+ '3': sports
867
+ '4': state
868
+ '5': spirituality
869
+ '6': tamil-cinema
870
+ '7': positive
871
+ '8': negative
872
+ '9': neutral
873
  splits:
874
  - name: train
875
  num_bytes: 1462618
 
890
  dtype:
891
  class_label:
892
  names:
893
+ '0': entertainment
894
+ '1': business
895
+ '2': tech
896
+ '3': sports
897
+ '4': state
898
+ '5': spirituality
899
+ '6': tamil-cinema
900
+ '7': positive
901
+ '8': negative
902
+ '9': neutral
903
  splits:
904
  - name: train
905
  num_bytes: 2659573
 
920
  dtype:
921
  class_label:
922
  names:
923
+ '0': entertainment
924
+ '1': business
925
+ '2': tech
926
+ '3': sports
927
+ '4': state
928
+ '5': spirituality
929
+ '6': tamil-cinema
930
+ '7': positive
931
+ '8': negative
932
+ '9': neutral
933
  splits:
934
  - name: train
935
  num_bytes: 1361671
 
1073
  dtype:
1074
  class_label:
1075
  names:
1076
+ '0': negative
1077
+ '1': neutral
1078
+ '2': positive
1079
  splits:
1080
  - name: train
1081
  num_bytes: 6704909
 
1096
  dtype:
1097
  class_label:
1098
  names:
1099
+ '0': negative
1100
+ '1': neutral
1101
+ '2': positive
1102
  splits:
1103
  - name: train
1104
  num_bytes: 945593
 
1119
  dtype:
1120
  class_label:
1121
  names:
1122
+ '0': positive
1123
+ '1': negative
1124
  splits:
1125
  - name: train
1126
  num_bytes: 1370911
 
1163
  sequence:
1164
  class_label:
1165
  names:
1166
+ '0': B-LOC
1167
+ '1': B-ORG
1168
+ '2': B-PER
1169
+ '3': I-LOC
1170
+ '4': I-ORG
1171
+ '5': I-PER
1172
+ '6': O
1173
  - name: additional_info
1174
  sequence:
1175
  sequence: string
 
1193
  sequence:
1194
  class_label:
1195
  names:
1196
+ '0': B-LOC
1197
+ '1': B-ORG
1198
+ '2': B-PER
1199
+ '3': I-LOC
1200
+ '4': I-ORG
1201
+ '5': I-PER
1202
+ '6': O
1203
  - name: additional_info
1204
  sequence:
1205
  sequence: string
 
1223
  sequence:
1224
  class_label:
1225
  names:
1226
+ '0': B-LOC
1227
+ '1': B-ORG
1228
+ '2': B-PER
1229
+ '3': I-LOC
1230
+ '4': I-ORG
1231
+ '5': I-PER
1232
+ '6': O
1233
  - name: additional_info
1234
  sequence:
1235
  sequence: string
 
1253
  sequence:
1254
  class_label:
1255
  names:
1256
+ '0': B-LOC
1257
+ '1': B-ORG
1258
+ '2': B-PER
1259
+ '3': I-LOC
1260
+ '4': I-ORG
1261
+ '5': I-PER
1262
+ '6': O
1263
  - name: additional_info
1264
  sequence:
1265
  sequence: string
 
1283
  sequence:
1284
  class_label:
1285
  names:
1286
+ '0': B-LOC
1287
+ '1': B-ORG
1288
+ '2': B-PER
1289
+ '3': I-LOC
1290
+ '4': I-ORG
1291
+ '5': I-PER
1292
+ '6': O
1293
  - name: additional_info
1294
  sequence:
1295
  sequence: string
 
1313
  sequence:
1314
  class_label:
1315
  names:
1316
+ '0': B-LOC
1317
+ '1': B-ORG
1318
+ '2': B-PER
1319
+ '3': I-LOC
1320
+ '4': I-ORG
1321
+ '5': I-PER
1322
+ '6': O
1323
  - name: additional_info
1324
  sequence:
1325
  sequence: string
 
1343
  sequence:
1344
  class_label:
1345
  names:
1346
+ '0': B-LOC
1347
+ '1': B-ORG
1348
+ '2': B-PER
1349
+ '3': I-LOC
1350
+ '4': I-ORG
1351
+ '5': I-PER
1352
+ '6': O
1353
  - name: additional_info
1354
  sequence:
1355
  sequence: string
 
1373
  sequence:
1374
  class_label:
1375
  names:
1376
+ '0': B-LOC
1377
+ '1': B-ORG
1378
+ '2': B-PER
1379
+ '3': I-LOC
1380
+ '4': I-ORG
1381
+ '5': I-PER
1382
+ '6': O
1383
  - name: additional_info
1384
  sequence:
1385
  sequence: string
 
1403
  sequence:
1404
  class_label:
1405
  names:
1406
+ '0': B-LOC
1407
+ '1': B-ORG
1408
+ '2': B-PER
1409
+ '3': I-LOC
1410
+ '4': I-ORG
1411
+ '5': I-PER
1412
+ '6': O
1413
  - name: additional_info
1414
  sequence:
1415
  sequence: string
 
1433
  sequence:
1434
  class_label:
1435
  names:
1436
+ '0': B-LOC
1437
+ '1': B-ORG
1438
+ '2': B-PER
1439
+ '3': I-LOC
1440
+ '4': I-ORG
1441
+ '5': I-PER
1442
+ '6': O
1443
  - name: additional_info
1444
  sequence:
1445
  sequence: string
 
1463
  sequence:
1464
  class_label:
1465
  names:
1466
+ '0': B-LOC
1467
+ '1': B-ORG
1468
+ '2': B-PER
1469
+ '3': I-LOC
1470
+ '4': I-ORG
1471
+ '5': I-PER
1472
+ '6': O
1473
  - name: additional_info
1474
  sequence:
1475
  sequence: string