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Add sources.yaml

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  1. sources.yaml +476 -476
sources.yaml CHANGED
@@ -1,5 +1,5 @@
1
  repo_id: tasksource/tasksource-jev-typed-decisions
2
- tasksource_commit: e12d6537e5097f5c445be9c1b185d6e03aa008d9
3
  datasets:
4
  - 12ml/e-CARE
5
  - AmazonScience/massive
@@ -400,7 +400,7 @@ datasets:
400
  sources:
401
  AES2-essay-scoring:
402
  rows:
403
- train: 3106
404
  validation: 16
405
  test: 17
406
  dataset: tasksource/AES2-essay-scoring
@@ -413,7 +413,7 @@ sources:
413
  - cc-by-nc-4.0
414
  AdjectiveScaleProbe-nli:
415
  rows:
416
- train: 5038
417
  validation: 29
418
  test: 29
419
  dataset: tasksource/AdjectiveScaleProbe-nli
@@ -423,7 +423,7 @@ sources:
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  license_use: unspecified
424
  AmbigNQ-clarifying-question:
425
  rows:
426
- train: 3976
427
  validation: 23
428
  test: 22
429
  dataset: erbacher/AmbigNQ-clarifying-question
@@ -433,7 +433,7 @@ sources:
433
  license_use: unspecified
434
  BeaverTails:
435
  rows:
436
- train: 4380
437
  validation: 23
438
  test: 23
439
  dataset: PKU-Alignment/BeaverTails
@@ -446,7 +446,7 @@ sources:
446
  - cc-by-nc-4.0
447
  CONDAQA:
448
  rows:
449
- train: 4870
450
  validation: 29
451
  test: 28
452
  dataset: lasha-nlp/CONDAQA
@@ -461,7 +461,7 @@ sources:
461
  - Apache License 2.0
462
  CREAK:
463
  rows:
464
- train: 4007
465
  validation: 24
466
  test: 23
467
  dataset: amydeng2000/CREAK
@@ -485,7 +485,7 @@ sources:
485
  - CC BY-NC-SA 4.0
486
  Dilemmas_Disagreement:
487
  rows:
488
- train: 2330
489
  validation: 11
490
  test: 11
491
  dataset: RuyuanWan/Dilemmas_Disagreement
@@ -495,7 +495,7 @@ sources:
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  license_use: unspecified
496
  Dynasent_Disagreement:
497
  rows:
498
- train: 2459
499
  validation: 11
500
  test: 11
501
  dataset: RuyuanWan/Dynasent_Disagreement
@@ -505,7 +505,7 @@ sources:
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  license_use: unspecified
506
  FLD.v2/default:
507
  rows:
508
- train: 3010
509
  validation: 16
510
  test: 13
511
  dataset: hitachi-nlp/FLD.v2
@@ -516,7 +516,7 @@ sources:
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  license_use: unspecified
517
  FLD.v2/star:
518
  rows:
519
- train: 2974
520
  validation: 12
521
  test: 15
522
  dataset: hitachi-nlp/FLD.v2
@@ -527,7 +527,7 @@ sources:
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  license_use: unspecified
528
  FLUTE:
529
  rows:
530
- train: 3933
531
  validation: 22
532
  test: 23
533
  dataset: ColumbiaNLP/FLUTE
@@ -540,7 +540,7 @@ sources:
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  - afl-3.0
541
  FOL-nli:
542
  rows:
543
- train: 14763
544
  validation: 85
545
  test: 84
546
  dataset: unigram/FOL-nli
@@ -553,7 +553,7 @@ sources:
553
  - apache-2.0
554
  HatemojiBuild:
555
  rows:
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- train: 3891
557
  validation: 22
558
  test: 23
559
  dataset: HannahRoseKirk/HatemojiBuild
@@ -566,7 +566,7 @@ sources:
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  - cc-by-4.0
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  HelpSteer/coherence:
568
  rows:
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- train: 991
570
  validation: 3
571
  test: 3
572
  dataset: nvidia/HelpSteer
@@ -581,7 +581,7 @@ sources:
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  - CC BY 4.0
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  HelpSteer/complexity:
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  rows:
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- train: 979
585
  validation: 2
586
  test: 3
587
  dataset: nvidia/HelpSteer
@@ -595,7 +595,7 @@ sources:
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  - CC BY 4.0
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  HelpSteer/correctness:
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  rows:
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- train: 979
599
  validation: 2
600
  test: 4
601
  dataset: nvidia/HelpSteer
@@ -609,7 +609,7 @@ sources:
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  - CC BY 4.0
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  HelpSteer/helpfulness:
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  rows:
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- train: 980
613
  validation: 5
614
  test: 3
615
  dataset: nvidia/HelpSteer
@@ -623,7 +623,7 @@ sources:
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  - CC BY 4.0
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  HelpSteer/verbosity:
625
  rows:
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- train: 962
627
  validation: 2
628
  test: 2
629
  dataset: nvidia/HelpSteer
@@ -637,7 +637,7 @@ sources:
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  - CC BY 4.0
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  HelpSteer2/coherence:
639
  rows:
640
- train: 1272
641
  validation: 4
642
  test: 6
643
  dataset: nvidia/HelpSteer2
@@ -650,7 +650,7 @@ sources:
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  - cc-by-4.0
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  HelpSteer2/complexity:
652
  rows:
653
- train: 1303
654
  validation: 10
655
  test: 8
656
  dataset: nvidia/HelpSteer2
@@ -662,7 +662,7 @@ sources:
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  nvidia/HelpSteer2: *id002
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  HelpSteer2/correctness:
664
  rows:
665
- train: 1278
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  validation: 7
667
  test: 4
668
  dataset: nvidia/HelpSteer2
@@ -674,7 +674,7 @@ sources:
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  nvidia/HelpSteer2: *id002
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  HelpSteer2/helpfulness:
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  rows:
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- train: 1284
678
  validation: 4
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  test: 6
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  dataset: nvidia/HelpSteer2
@@ -686,7 +686,7 @@ sources:
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  nvidia/HelpSteer2: *id002
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  HelpSteer2/verbosity:
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  rows:
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- train: 1276
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  validation: 4
691
  test: 4
692
  dataset: nvidia/HelpSteer2
@@ -712,7 +712,7 @@ sources:
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  - cc-by-4.0
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  HelpSteer3/feedback:
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  rows:
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- train: 1979
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  validation: 9
717
  test: 12
718
  dataset: nvidia/HelpSteer3
@@ -725,7 +725,7 @@ sources:
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  nvidia/HelpSteer3: *id003
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  HelpSteer3/preference:
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  rows:
728
- train: 9738
729
  validation: 25
730
  test: 23
731
  dataset: nvidia/HelpSteer3
@@ -738,7 +738,7 @@ sources:
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  nvidia/HelpSteer3: *id003
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  HelpSteer3/preference_strength:
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  rows:
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- train: 1959
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  validation: 8
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  test: 10
744
  dataset: nvidia/HelpSteer3
@@ -751,7 +751,7 @@ sources:
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  nvidia/HelpSteer3: *id003
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  HelpSteer3/principle:
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  rows:
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- train: 2355
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  validation: 11
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  test: 10
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  dataset: nvidia/HelpSteer3
@@ -764,7 +764,7 @@ sources:
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  nvidia/HelpSteer3: *id003
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  I2D2:
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  rows:
767
- train: 4074
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  validation: 23
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  test: 23
770
  dataset: tasksource/I2D2
@@ -777,9 +777,9 @@ sources:
777
  - apache-2.0
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  IntentGrasp/all:
779
  rows:
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- train: 16401
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  validation: 73
782
- test: 72
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  dataset: yuweiyin/IntentGrasp
784
  config: all
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  revisions:
@@ -791,7 +791,7 @@ sources:
791
  - cc-by-nc-sa-4.0
792
  LogicNLI:
793
  rows:
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- train: 5062
795
  validation: 28
796
  test: 29
797
  dataset: tasksource/LogicNLI
@@ -811,7 +811,7 @@ sources:
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  license_use: unspecified
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  MSciNLI:
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  rows:
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- train: 5382
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  validation: 28
816
  test: 28
817
  dataset: sadat2307/MSciNLI
@@ -824,7 +824,7 @@ sources:
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  - cc-by-sa-4.0
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  MedQA-USMLE-4-options-hf:
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  rows:
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- train: 10536
828
  validation: 62
829
  test: 61
830
  dataset: GBaker/MedQA-USMLE-4-options-hf
@@ -837,7 +837,7 @@ sources:
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  - cc-by-sa-4.0
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  PARADISE:
839
  rows:
840
- train: 14763
841
  validation: 60
842
  test: 61
843
  dataset: GGLab/PARADISE
@@ -850,7 +850,7 @@ sources:
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  - mit
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  PARARULE-Plus:
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  rows:
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- train: 4389
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  validation: 22
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  test: 22
856
  dataset: qbao775/PARARULE-Plus
@@ -863,7 +863,7 @@ sources:
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  - mit
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  PKU-SafeRLHF/helpfulness:
865
  rows:
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- train: 9203
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  validation: 24
868
  test: 24
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  dataset: PKU-Alignment/PKU-SafeRLHF
@@ -876,7 +876,7 @@ sources:
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  - cc-by-nc-4.0
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  PKU-SafeRLHF/safety:
878
  rows:
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- train: 9240
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  validation: 24
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  test: 24
882
  dataset: PKU-Alignment/PKU-SafeRLHF
@@ -888,7 +888,7 @@ sources:
888
  PKU-Alignment/PKU-SafeRLHF: *id004
889
  Pol_NLI:
890
  rows:
891
- train: 4397
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  validation: 25
893
  test: 24
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  dataset: mlburnham/Pol_NLI
@@ -908,7 +908,7 @@ sources:
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  license_use: unspecified
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  Prompt-injection-dataset/full:
910
  rows:
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- train: 4043
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  validation: 22
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  test: 22
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  dataset: neuralchemy/Prompt-injection-dataset
@@ -922,7 +922,7 @@ sources:
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  - apache-2.0
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  PromptShield:
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  rows:
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- train: 4142
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  validation: 22
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  test: 24
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  dataset: hendzh/PromptShield
@@ -945,7 +945,7 @@ sources:
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  license_use: unspecified
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  SBIC_Disagreement:
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  rows:
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- train: 2411
949
  validation: 11
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  test: 12
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  dataset: RuyuanWan/SBIC_Disagreement
@@ -955,7 +955,7 @@ sources:
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  license_use: unspecified
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  SChem_Disagreement:
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  rows:
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- train: 2007
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  validation: 11
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  test: 12
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  dataset: RuyuanWan/SChem_Disagreement
@@ -965,7 +965,7 @@ sources:
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  license_use: unspecified
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  SDOH-NLI:
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  rows:
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- train: 2324
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  validation: 13
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  test: 11
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  dataset: tasksource/SDOH-NLI
@@ -978,7 +978,7 @@ sources:
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  - cc-by-4.0
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  SHP:
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  rows:
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- train: 9257
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  validation: 25
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  test: 24
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  dataset: stanfordnlp/SHP
@@ -990,7 +990,7 @@ sources:
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  - Custom
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  Sarcasm_News_Headline:
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  rows:
993
- train: 4307
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  validation: 22
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  test: 23
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  dataset: raquiba/Sarcasm_News_Headline
@@ -1010,7 +1010,7 @@ sources:
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  license_use: unspecified
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  ShellRisk-Bench:
1012
  rows:
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- train: 4071
1014
  validation: 22
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  test: 22
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  dataset: kontext-security/ShellRisk-Bench
@@ -1023,7 +1023,7 @@ sources:
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  - other
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  SpaRTUN:
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  rows:
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- train: 12766
1027
  validation: 49
1028
  test: 48
1029
  dataset: tasksource/SpaRTUN
@@ -1033,7 +1033,7 @@ sources:
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  license_use: unspecified
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  SpaceNLI:
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  rows:
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- train: 5307
1037
  validation: 30
1038
  test: 28
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  dataset: tasksource/SpaceNLI
@@ -1046,7 +1046,7 @@ sources:
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  - mit
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  Touche23-ValueEval:
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  rows:
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- train: 2021
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  validation: 13
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  test: 13
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  source_urls:
@@ -1080,7 +1080,7 @@ sources:
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  - Custom
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  TuringBench:
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  rows:
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- train: 9115
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  validation: 50
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  test: 50
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  data_files_from:
@@ -1113,7 +1113,7 @@ sources:
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  annotators: 2
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  UltraFeedback-paired:
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  rows:
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- train: 12569
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  validation: 51
1118
  test: 53
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  dataset: pushpdeep/UltraFeedback-paired
@@ -1126,7 +1126,7 @@ sources:
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  - mit
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  VUAC:
1128
  rows:
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- train: 2206
1130
  validation: 12
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  test: 11
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  dataset: tasksource/VUAC
@@ -1136,7 +1136,7 @@ sources:
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  license_use: unspecified
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  WANLI:
1138
  rows:
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- train: 14737
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  validation: 84
1141
  test: 86
1142
  dataset: alisawuffles/WANLI
@@ -1178,7 +1178,7 @@ sources:
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  annotators: 15
1179
  add_one_rte:
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  rows:
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- train: 3881
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  validation: 22
1183
  test: 22
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  dataset: pietrolesci/add_one_rte
@@ -1190,7 +1190,7 @@ sources:
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  - Non Commercial
1191
  ade_corpus_v2/Ade_corpus_v2_classification:
1192
  rows:
1193
- train: 4156
1194
  validation: 23
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  test: 22
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  dataset: ade-benchmark-corpus/ade_corpus_v2
@@ -1201,7 +1201,7 @@ sources:
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  license_use: unspecified
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  ag_news:
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  rows:
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- train: 5343
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  validation: 29
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  test: 28
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  dataset: fancyzhx/ag_news
@@ -1211,7 +1211,7 @@ sources:
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  license_use: unspecified
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  agent_action_safety:
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  rows:
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- train: 2324
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  validation: 12
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  test: 13
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  data_files_from:
@@ -1252,7 +1252,7 @@ sources:
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  allenai/ai2_arc: *id006
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  amazon_counterfactual/en:
1254
  rows:
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- train: 3875
1256
  validation: 22
1257
  test: 25
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  dataset: mteb/amazon_counterfactual
@@ -1266,7 +1266,7 @@ sources:
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  - cc-by-4.0
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  amazon_polarity/amazon_polarity:
1268
  rows:
1269
- train: 4328
1270
  validation: 22
1271
  test: 22
1272
  dataset: fancyzhx/amazon_polarity
@@ -1290,7 +1290,7 @@ sources:
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  license_use: unspecified
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  anli/a1:
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  rows:
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- train: 5234
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  validation: 28
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  test: 30
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  dataset: facebook/anli
@@ -1303,7 +1303,7 @@ sources:
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  - cc-by-nc-4.0
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  anli/a2:
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  rows:
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- train: 5250
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  validation: 29
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  test: 25
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  dataset: facebook/anli
@@ -1315,7 +1315,7 @@ sources:
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  facebook/anli: *id007
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  anli/a3:
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  rows:
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- train: 5238
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  validation: 30
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  test: 29
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  dataset: facebook/anli
@@ -1327,7 +1327,7 @@ sources:
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  facebook/anli: *id007
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  app_reviews:
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  rows:
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- train: 5160
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  validation: 28
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  test: 28
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  dataset: sealuzh/app_reviews
@@ -1337,7 +1337,7 @@ sources:
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  license_use: unspecified
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  apt:
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  rows:
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- train: 3870
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  validation: 22
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  test: 22
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  dataset: tasksource/apt
@@ -1360,7 +1360,7 @@ sources:
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  - apache-2.0
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  args_me:
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  rows:
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- train: 4404
1364
  validation: 22
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  test: 22
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  dataset: webis/args_me
@@ -1376,7 +1376,7 @@ sources:
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  - CC BY 4.0
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  argument-feedback:
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  rows:
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- train: 2921
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  validation: 17
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  test: 14
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  dataset: tasksource/argument-feedback
@@ -1386,7 +1386,7 @@ sources:
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  license_use: unspecified
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  art:
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  rows:
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- train: 12642
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  validation: 49
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  test: 49
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  dataset: allenai/art
@@ -1406,7 +1406,7 @@ sources:
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  license_use: unspecified
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  autotnli:
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  rows:
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- train: 4384
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  validation: 23
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  test: 27
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  dataset: tasksource/autotnli
@@ -1419,7 +1419,7 @@ sources:
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  - apache-2.0
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  avicenna:
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  rows:
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- train: 3882
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  validation: 22
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  test: 22
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  dataset: tasksource/avicenna
@@ -1432,7 +1432,7 @@ sources:
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  - cc
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  babi_nli/basic-coreference:
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  rows:
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- train: 334
1436
  validation: 2
1437
  test: 2
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  dataset: tasksource/babi_nli
@@ -1446,7 +1446,7 @@ sources:
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  - bsd
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  babi_nli/basic-deduction:
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  rows:
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- train: 323
1450
  validation: 2
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  test: 2
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  dataset: tasksource/babi_nli
@@ -1459,7 +1459,7 @@ sources:
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  tasksource/babi_nli: *id008
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  babi_nli/basic-induction:
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  rows:
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- train: 320
1463
  validation: 2
1464
  test: 2
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  dataset: tasksource/babi_nli
@@ -1472,7 +1472,7 @@ sources:
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  tasksource/babi_nli: *id008
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  babi_nli/compound-coreference:
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  rows:
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- train: 317
1476
  validation: 5
1477
  test: 2
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  dataset: tasksource/babi_nli
@@ -1485,7 +1485,7 @@ sources:
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  tasksource/babi_nli: *id008
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  babi_nli/conjunction:
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  rows:
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- train: 326
1489
  validation: 3
1490
  test: 1
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  dataset: tasksource/babi_nli
@@ -1511,7 +1511,7 @@ sources:
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  tasksource/babi_nli: *id008
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  babi_nli/indefinite-knowledge:
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  rows:
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- train: 326
1515
  validation: 2
1516
  test: 1
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  dataset: tasksource/babi_nli
@@ -1524,7 +1524,7 @@ sources:
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  tasksource/babi_nli: *id008
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  babi_nli/lists-sets:
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  rows:
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- train: 328
1528
  validation: 1
1529
  test: 1
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  dataset: tasksource/babi_nli
@@ -1537,7 +1537,7 @@ sources:
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  tasksource/babi_nli: *id008
1538
  babi_nli/path-finding:
1539
  rows:
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- train: 311
1541
  validation: 1
1542
  test: 1
1543
  dataset: tasksource/babi_nli
@@ -1550,7 +1550,7 @@ sources:
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  tasksource/babi_nli: *id008
1551
  babi_nli/positional-reasoning:
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  rows:
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- train: 304
1554
  validation: 2
1555
  test: 2
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  dataset: tasksource/babi_nli
@@ -1563,7 +1563,7 @@ sources:
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  tasksource/babi_nli: *id008
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  babi_nli/simple-negation:
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  rows:
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- train: 325
1567
  validation: 2
1568
  test: 1
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  dataset: tasksource/babi_nli
@@ -1576,7 +1576,7 @@ sources:
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  tasksource/babi_nli: *id008
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  babi_nli/single-supporting-fact:
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  rows:
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- train: 295
1580
  validation: 1
1581
  test: 1
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  dataset: tasksource/babi_nli
@@ -1589,7 +1589,7 @@ sources:
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  tasksource/babi_nli: *id008
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  babi_nli/size-reasoning:
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  rows:
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- train: 319
1593
  validation: 1
1594
  test: 3
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  dataset: tasksource/babi_nli
@@ -1602,7 +1602,7 @@ sources:
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  tasksource/babi_nli: *id008
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  babi_nli/three-arg-relations:
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  rows:
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- train: 331
1606
  validation: 1
1607
  test: 1
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  dataset: tasksource/babi_nli
@@ -1615,7 +1615,7 @@ sources:
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  tasksource/babi_nli: *id008
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  babi_nli/three-supporting-facts:
1617
  rows:
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- train: 334
1619
  validation: 1
1620
  test: 1
1621
  dataset: tasksource/babi_nli
@@ -1628,7 +1628,7 @@ sources:
1628
  tasksource/babi_nli: *id008
1629
  babi_nli/time-reasoning:
1630
  rows:
1631
- train: 323
1632
  validation: 2
1633
  test: 1
1634
  dataset: tasksource/babi_nli
@@ -1641,7 +1641,7 @@ sources:
1641
  tasksource/babi_nli: *id008
1642
  babi_nli/two-arg-relations:
1643
  rows:
1644
- train: 326
1645
  validation: 1
1646
  test: 4
1647
  dataset: tasksource/babi_nli
@@ -1654,7 +1654,7 @@ sources:
1654
  tasksource/babi_nli: *id008
1655
  babi_nli/two-supporting-facts:
1656
  rows:
1657
- train: 303
1658
  validation: 1
1659
  test: 1
1660
  dataset: tasksource/babi_nli
@@ -1667,7 +1667,7 @@ sources:
1667
  tasksource/babi_nli: *id008
1668
  babi_nli/yes-no-questions:
1669
  rows:
1670
- train: 331
1671
  validation: 1
1672
  test: 4
1673
  dataset: tasksource/babi_nli
@@ -1695,7 +1695,7 @@ sources:
1695
  - BSD 2-Clause License
1696
  banking77:
1697
  rows:
1698
- train: 6775
1699
  validation: 39
1700
  test: 39
1701
  dataset: legacy-datasets/banking77
@@ -1714,7 +1714,7 @@ sources:
1714
  - CC BY 4.0
1715
  biosift-nli:
1716
  rows:
1717
- train: 4422
1718
  validation: 22
1719
  test: 22
1720
  dataset: AshtonIsNotHere/biosift-nli
@@ -1724,7 +1724,7 @@ sources:
1724
  license_use: unspecified
1725
  blog_authorship_corpus/age:
1726
  rows:
1727
- train: 2125
1728
  validation: 7
1729
  test: 9
1730
  dataset: tasksource/blog_authorship_corpus
@@ -1739,7 +1739,7 @@ sources:
1739
  - apache-2.0
1740
  blog_authorship_corpus/gender:
1741
  rows:
1742
- train: 2123
1743
  validation: 13
1744
  test: 12
1745
  dataset: tasksource/blog_authorship_corpus
@@ -1755,7 +1755,7 @@ sources:
1755
  - Custom
1756
  blog_authorship_corpus/job:
1757
  rows:
1758
- train: 2188
1759
  validation: 8
1760
  test: 8
1761
  dataset: tasksource/blog_authorship_corpus
@@ -1771,7 +1771,7 @@ sources:
1771
  - Custom
1772
  boolq-natural-perturbations:
1773
  rows:
1774
- train: 3993
1775
  validation: 22
1776
  test: 22
1777
  dataset: tasksource/boolq-natural-perturbations
@@ -1803,7 +1803,7 @@ sources:
1803
  license_use: unspecified
1804
  breaking_nli:
1805
  rows:
1806
- train: 4872
1807
  validation: 30
1808
  test: 29
1809
  dataset: pietrolesci/breaking_nli
@@ -1827,7 +1827,7 @@ sources:
1827
  annotators: 100
1828
  chatbot_arena_conversations:
1829
  rows:
1830
- train: 10388
1831
  validation: 50
1832
  test: 50
1833
  dataset: lmsys/chatbot_arena_conversations
@@ -1858,7 +1858,7 @@ sources:
1858
  - other
1859
  cicero:
1860
  rows:
1861
- train: 14725
1862
  validation: 60
1863
  test: 61
1864
  dataset: declare-lab/cicero
@@ -1871,7 +1871,7 @@ sources:
1871
  - mit
1872
  circa:
1873
  rows:
1874
- train: 5376
1875
  validation: 29
1876
  test: 29
1877
  dataset: google-research-datasets/circa
@@ -1993,7 +1993,7 @@ sources:
1993
  annotators: 6
1994
  cladder:
1995
  rows:
1996
- train: 3949
1997
  validation: 22
1998
  test: 23
1999
  dataset: tasksource/cladder
@@ -2006,7 +2006,7 @@ sources:
2006
  - mit
2007
  clcd-english:
2008
  rows:
2009
- train: 3980
2010
  validation: 23
2011
  test: 24
2012
  dataset: tasksource/clcd-english
@@ -2019,7 +2019,7 @@ sources:
2019
  - apache-2.0
2020
  clinc_oos/plus:
2021
  rows:
2022
- train: 6875
2023
  validation: 41
2024
  test: 39
2025
  dataset: clinc/clinc_oos
@@ -2033,7 +2033,7 @@ sources:
2033
  - cc-by-3.0
2034
  cloth:
2035
  rows:
2036
- train: 14741
2037
  validation: 60
2038
  test: 66
2039
  dataset: AndyChiang/cloth
@@ -2046,7 +2046,7 @@ sources:
2046
  - mit
2047
  clutrr:
2048
  rows:
2049
- train: 5921
2050
  validation: 33
2051
  test: 34
2052
  dataset: tasksource/clutrr
@@ -2058,7 +2058,7 @@ sources:
2058
  license_use: unspecified
2059
  cnli:
2060
  rows:
2061
- train: 4897
2062
  validation: 28
2063
  test: 28
2064
  dataset: tasksource/cnli
@@ -2082,7 +2082,7 @@ sources:
2082
  - odc-by
2083
  code_x_glue_cc_defect_detection:
2084
  rows:
2085
- train: 4221
2086
  validation: 24
2087
  test: 24
2088
  dataset: google/code_x_glue_cc_defect_detection
@@ -2105,7 +2105,7 @@ sources:
2105
  license_use: unspecified
2106
  commonsense_qa:
2107
  rows:
2108
- train: 10420
2109
  validation: 63
2110
  test: 64
2111
  dataset: tau/commonsense_qa
@@ -2118,7 +2118,7 @@ sources:
2118
  - mit
2119
  commonsense_qa_2.0:
2120
  rows:
2121
- train: 3971
2122
  validation: 22
2123
  test: 23
2124
  dataset: tasksource/commonsense_qa_2.0
@@ -2131,7 +2131,7 @@ sources:
2131
  - cc-by-4.0
2132
  conceptrules_v2:
2133
  rows:
2134
- train: 6255
2135
  validation: 34
2136
  test: 33
2137
  dataset: tasksource/conceptrules_v2
@@ -2146,7 +2146,7 @@ sources:
2146
  - Custom
2147
  conj_nli:
2148
  rows:
2149
- train: 5032
2150
  validation: 29
2151
  test: 28
2152
  dataset: pietrolesci/conj_nli
@@ -2176,7 +2176,7 @@ sources:
2176
  - Request Form
2177
  contract-nli/contractnli_a/seg:
2178
  rows:
2179
- train: 2612
2180
  validation: 15
2181
  test: 14
2182
  dataset: tasksource/contract-nli
@@ -2192,7 +2192,7 @@ sources:
2192
  - cc-by-nc-sa-4.0
2193
  contract-nli/contractnli_b/full:
2194
  rows:
2195
- train: 2385
2196
  validation: 14
2197
  test: 16
2198
  dataset: tasksource/contract-nli
@@ -2207,7 +2207,7 @@ sources:
2207
  kiddothe2b/contract-nli: *id011
2208
  corr2cause:
2209
  rows:
2210
- train: 7728
2211
  validation: 44
2212
  test: 42
2213
  dataset: tasksource/corr2cause
@@ -2233,7 +2233,7 @@ sources:
2233
  license_use: unspecified
2234
  cosmos_qa:
2235
  rows:
2236
- train: 13707
2237
  validation: 61
2238
  test: 63
2239
  dataset: Samsoup/cosmos_qa
@@ -2258,7 +2258,7 @@ sources:
2258
  license_use: unspecified
2259
  counterfactually-augmented-snli:
2260
  rows:
2261
- train: 4886
2262
  validation: 28
2263
  test: 28
2264
  dataset: tasksource/counterfactually-augmented-snli
@@ -2268,7 +2268,7 @@ sources:
2268
  license_use: unspecified
2269
  crowdflower/airline-sentiment:
2270
  rows:
2271
- train: 744
2272
  validation: 4
2273
  test: 3
2274
  dataset: tasksource/crowdflower
@@ -2279,7 +2279,7 @@ sources:
2279
  license_use: unspecified
2280
  crowdflower/corporate-messaging:
2281
  rows:
2282
- train: 814
2283
  validation: 5
2284
  test: 3
2285
  dataset: tasksource/crowdflower
@@ -2290,7 +2290,7 @@ sources:
2290
  license_use: unspecified
2291
  crowdflower/political-media-audience:
2292
  rows:
2293
- train: 796
2294
  validation: 3
2295
  test: 6
2296
  dataset: tasksource/crowdflower
@@ -2301,7 +2301,7 @@ sources:
2301
  license_use: unspecified
2302
  crowdflower/political-media-bias:
2303
  rows:
2304
- train: 809
2305
  validation: 3
2306
  test: 3
2307
  dataset: tasksource/crowdflower
@@ -2312,7 +2312,7 @@ sources:
2312
  license_use: unspecified
2313
  crowdflower/political-media-message:
2314
  rows:
2315
- train: 836
2316
  validation: 3
2317
  test: 3
2318
  dataset: tasksource/crowdflower
@@ -2334,7 +2334,7 @@ sources:
2334
  license_use: unspecified
2335
  crowdflower/text_emotion:
2336
  rows:
2337
- train: 834
2338
  validation: 3
2339
  test: 4
2340
  dataset: tasksource/crowdflower
@@ -2345,7 +2345,7 @@ sources:
2345
  license_use: unspecified
2346
  crowdflower/tweet_global_warming:
2347
  rows:
2348
- train: 824
2349
  validation: 3
2350
  test: 3
2351
  dataset: tasksource/crowdflower
@@ -2356,7 +2356,7 @@ sources:
2356
  license_use: unspecified
2357
  cycic_classification:
2358
  rows:
2359
- train: 3879
2360
  validation: 22
2361
  test: 23
2362
  dataset: tasksource/cycic_classification
@@ -2395,7 +2395,7 @@ sources:
2395
  - cc
2396
  dataset_train_nli:
2397
  rows:
2398
- train: 19458
2399
  validation: 117
2400
  test: 114
2401
  dataset: MoritzLaurer/dataset_train_nli
@@ -2405,7 +2405,7 @@ sources:
2405
  license_use: unspecified
2406
  dbpedia_14/dbpedia_14:
2407
  rows:
2408
- train: 3441
2409
  validation: 16
2410
  test: 18
2411
  dataset: fancyzhx/dbpedia_14
@@ -2419,7 +2419,7 @@ sources:
2419
  - cc-by-sa-3.0
2420
  defeasible-nli/atomic:
2421
  rows:
2422
- train: 1932
2423
  validation: 8
2424
  test: 8
2425
  dataset: tasksource/defeasible-nli
@@ -2435,7 +2435,7 @@ sources:
2435
  - MIT License
2436
  defeasible-nli/snli:
2437
  rows:
2438
- train: 1879
2439
  validation: 8
2440
  test: 7
2441
  dataset: tasksource/defeasible-nli
@@ -2450,7 +2450,7 @@ sources:
2450
  - MIT License
2451
  defeasible-nli/social:
2452
  rows:
2453
- train: 1888
2454
  validation: 6
2455
  test: 7
2456
  dataset: tasksource/defeasible-nli
@@ -2498,7 +2498,7 @@ sources:
2498
  license_use: unspecified
2499
  discovery/discovery:
2500
  rows:
2501
- train: 7121
2502
  validation: 39
2503
  test: 41
2504
  dataset: sileod/discovery
@@ -2512,7 +2512,7 @@ sources:
2512
  - apache-2.0
2513
  disrpt/eng.dep.scidtb.rels:
2514
  rows:
2515
- train: 6739
2516
  validation: 40
2517
  test: 41
2518
  dataset: multilingual-discourse-hub/disrpt
@@ -2526,7 +2526,7 @@ sources:
2526
  - apache-2.0
2527
  dnc:
2528
  rows:
2529
- train: 4401
2530
  validation: 23
2531
  test: 23
2532
  dataset: pietrolesci/dnc
@@ -2538,7 +2538,7 @@ sources:
2538
  - Various
2539
  dnd_style_intents:
2540
  rows:
2541
- train: 6258
2542
  validation: 33
2543
  test: 34
2544
  dataset: neurae/dnd_style_intents
@@ -2551,7 +2551,7 @@ sources:
2551
  - apache-2.0
2552
  doc-nli:
2553
  rows:
2554
- train: 19492
2555
  validation: 113
2556
  test: 113
2557
  dataset: tasksource/doc-nli
@@ -2564,7 +2564,7 @@ sources:
2564
  - bsd
2565
  docred:
2566
  rows:
2567
- train: 10427
2568
  validation: 60
2569
  test: 60
2570
  data_files_from:
@@ -2580,7 +2580,7 @@ sources:
2580
  - mit
2581
  dream:
2582
  rows:
2583
- train: 5494
2584
  validation: 30
2585
  test: 31
2586
  dataset: dataset-org/dream
@@ -2591,7 +2591,7 @@ sources:
2591
  license_use: unspecified
2592
  dynahate:
2593
  rows:
2594
- train: 4396
2595
  validation: 23
2596
  test: 22
2597
  dataset: tasksource/dynahate
@@ -2636,9 +2636,9 @@ sources:
2636
  annotators: 5
2637
  e-CARE:
2638
  rows:
2639
- train: 9845
2640
  validation: 50
2641
- test: 50
2642
  dataset: 12ml/e-CARE
2643
  revisions:
2644
  12ml/e-CARE: a9c788710144e6edd31f925345fa107c0634e223
@@ -2663,7 +2663,7 @@ sources:
2663
  - CC BY-NC-SA 4.0
2664
  emo/emo2019:
2665
  rows:
2666
- train: 2934
2667
  validation: 14
2668
  test: 14
2669
  dataset: oneonlee/cleansed_emocontext
@@ -2678,7 +2678,7 @@ sources:
2678
  - mpl-2.0
2679
  emotion:
2680
  rows:
2681
- train: 5992
2682
  validation: 33
2683
  test: 33
2684
  dataset: dair-ai/emotion
@@ -2693,7 +2693,7 @@ sources:
2693
  - Custom
2694
  english-grading/cohesion:
2695
  rows:
2696
- train: 449
2697
  validation: 2
2698
  test: 3
2699
  dataset: tasksource/english-grading
@@ -2703,7 +2703,7 @@ sources:
2703
  license_use: unspecified
2704
  english-grading/conventions:
2705
  rows:
2706
- train: 465
2707
  validation: 5
2708
  test: 3
2709
  dataset: tasksource/english-grading
@@ -2713,7 +2713,7 @@ sources:
2713
  license_use: unspecified
2714
  english-grading/grammar:
2715
  rows:
2716
- train: 453
2717
  validation: 2
2718
  test: 2
2719
  dataset: tasksource/english-grading
@@ -2723,7 +2723,7 @@ sources:
2723
  license_use: unspecified
2724
  english-grading/phraseology:
2725
  rows:
2726
- train: 459
2727
  validation: 2
2728
  test: 2
2729
  dataset: tasksource/english-grading
@@ -2733,7 +2733,7 @@ sources:
2733
  license_use: unspecified
2734
  english-grading/syntax:
2735
  rows:
2736
- train: 443
2737
  validation: 2
2738
  test: 2
2739
  dataset: tasksource/english-grading
@@ -2743,7 +2743,7 @@ sources:
2743
  license_use: unspecified
2744
  english-grading/vocabulary:
2745
  rows:
2746
- train: 457
2747
  validation: 1
2748
  test: 2
2749
  dataset: tasksource/english-grading
@@ -2766,7 +2766,7 @@ sources:
2766
  - apache-2.0
2767
  esci:
2768
  rows:
2769
- train: 3044
2770
  validation: 15
2771
  test: 15
2772
  dataset: tasksource/esci
@@ -2779,7 +2779,7 @@ sources:
2779
  - apache-2.0
2780
  ethics/commonsense:
2781
  rows:
2782
- train: 1357
2783
  validation: 6
2784
  test: 6
2785
  config: commonsense
@@ -2794,7 +2794,7 @@ sources:
2794
  - mit
2795
  ethics/deontology:
2796
  rows:
2797
- train: 1350
2798
  validation: 6
2799
  test: 6
2800
  config: deontology
@@ -2808,7 +2808,7 @@ sources:
2808
  hendrycks/ethics: *id013
2809
  ethics/justice:
2810
  rows:
2811
- train: 1349
2812
  validation: 5
2813
  test: 5
2814
  config: justice
@@ -2822,7 +2822,7 @@ sources:
2822
  hendrycks/ethics: *id013
2823
  ethics/virtue:
2824
  rows:
2825
- train: 1366
2826
  validation: 6
2827
  test: 5
2828
  dataset: hendrycks/ethics
@@ -2846,7 +2846,7 @@ sources:
2846
  license_use: unspecified
2847
  ethos/multilabel:
2848
  rows:
2849
- train: 2714
2850
  validation: 12
2851
  test: 11
2852
  dataset: tasksource/ethos
@@ -2875,7 +2875,7 @@ sources:
2875
  - mit
2876
  fever-evidence-related:
2877
  rows:
2878
- train: 2599
2879
  validation: 13
2880
  test: 14
2881
  dataset: mwong/fever-evidence-related
@@ -2891,7 +2891,7 @@ sources:
2891
  - CC BY-SA 4.0
2892
  few_rel/default:
2893
  rows:
2894
- train: 4424
2895
  validation: 22
2896
  test: 23
2897
  dataset: tasksource/few_rel
@@ -2902,7 +2902,7 @@ sources:
2902
  license_use: unspecified
2903
  fig-qa:
2904
  rows:
2905
- train: 8737
2906
  validation: 50
2907
  test: 49
2908
  dataset: nightingal3/fig-qa
@@ -2945,7 +2945,7 @@ sources:
2945
  - CC BY-SA 4.0
2946
  fool-me-twice:
2947
  rows:
2948
- train: 3991
2949
  validation: 22
2950
  test: 22
2951
  dataset: tasksource/fool-me-twice
@@ -2968,7 +2968,7 @@ sources:
2968
  license_use: unspecified
2969
  gen_debiased_nli/mnli_par_z:
2970
  rows:
2971
- train: 723
2972
  validation: 2
2973
  dataset: pietrolesci/gen_debiased_nli
2974
  revisions:
@@ -2980,7 +2980,7 @@ sources:
2980
  - OANC
2981
  gen_debiased_nli/mnli_seq_z:
2982
  rows:
2983
- train: 703
2984
  validation: 1
2985
  test: 1
2986
  dataset: pietrolesci/gen_debiased_nli
@@ -2993,7 +2993,7 @@ sources:
2993
  - OANC
2994
  gen_debiased_nli/mnli_z_aug:
2995
  rows:
2996
- train: 697
2997
  test: 1
2998
  dataset: pietrolesci/gen_debiased_nli
2999
  revisions:
@@ -3005,7 +3005,7 @@ sources:
3005
  - OANC
3006
  gen_debiased_nli/snli_par_z:
3007
  rows:
3008
- train: 681
3009
  dataset: pietrolesci/gen_debiased_nli
3010
  revisions:
3011
  pietrolesci/gen_debiased_nli: 8526f3a347c2d5760dc79a3dbe88134cc89c36b9
@@ -3016,7 +3016,7 @@ sources:
3016
  - OANC
3017
  gen_debiased_nli/snli_seq_z:
3018
  rows:
3019
- train: 658
3020
  dataset: pietrolesci/gen_debiased_nli
3021
  revisions:
3022
  pietrolesci/gen_debiased_nli: 8526f3a347c2d5760dc79a3dbe88134cc89c36b9
@@ -3027,7 +3027,7 @@ sources:
3027
  - OANC
3028
  gen_debiased_nli/snli_z_aug:
3029
  rows:
3030
- train: 670
3031
  dataset: pietrolesci/gen_debiased_nli
3032
  revisions:
3033
  pietrolesci/gen_debiased_nli: 8526f3a347c2d5760dc79a3dbe88134cc89c36b9
@@ -3038,7 +3038,7 @@ sources:
3038
  - OANC
3039
  github-issue-similarity:
3040
  rows:
3041
- train: 4152
3042
  validation: 23
3043
  test: 22
3044
  dataset: WhereIsAI/github-issue-similarity
@@ -3051,7 +3051,7 @@ sources:
3051
  - mit
3052
  glue/cola:
3053
  rows:
3054
- train: 814
3055
  validation: 4
3056
  test: 4
3057
  dataset: nyu-mll/glue
@@ -3065,7 +3065,7 @@ sources:
3065
  - other
3066
  glue/mnli:
3067
  rows:
3068
- train: 816
3069
  validation: 4
3070
  test: 3
3071
  dataset: nyu-mll/glue
@@ -3078,7 +3078,7 @@ sources:
3078
  nyu-mll/glue: *id014
3079
  glue/mrpc:
3080
  rows:
3081
- train: 840
3082
  validation: 4
3083
  test: 3
3084
  dataset: nyu-mll/glue
@@ -3091,7 +3091,7 @@ sources:
3091
  nyu-mll/glue: *id014
3092
  glue/qnli:
3093
  rows:
3094
- train: 815
3095
  validation: 3
3096
  test: 3
3097
  dataset: nyu-mll/glue
@@ -3104,7 +3104,7 @@ sources:
3104
  nyu-mll/glue: *id014
3105
  glue/qqp:
3106
  rows:
3107
- train: 857
3108
  validation: 2
3109
  test: 2
3110
  dataset: nyu-mll/glue
@@ -3117,7 +3117,7 @@ sources:
3117
  nyu-mll/glue: *id014
3118
  glue/rte:
3119
  rows:
3120
- train: 807
3121
  validation: 2
3122
  test: 2
3123
  dataset: nyu-mll/glue
@@ -3130,7 +3130,7 @@ sources:
3130
  nyu-mll/glue: *id014
3131
  glue/sst2:
3132
  rows:
3133
- train: 792
3134
  validation: 2
3135
  test: 3
3136
  dataset: nyu-mll/glue
@@ -3156,7 +3156,7 @@ sources:
3156
  aggregation: mean
3157
  glue/wnli:
3158
  rows:
3159
- train: 745
3160
  validation: 2
3161
  test: 2
3162
  dataset: nyu-mll/glue
@@ -3169,7 +3169,7 @@ sources:
3169
  nyu-mll/glue: *id014
3170
  go_emotions/simplified:
3171
  rows:
3172
- train: 3936
3173
  validation: 20
3174
  test: 20
3175
  dataset: google-research-datasets/go_emotions
@@ -3183,7 +3183,7 @@ sources:
3183
  - apache-2.0
3184
  goal-step-wikihow/goal:
3185
  rows:
3186
- train: 9117
3187
  validation: 21
3188
  test: 18
3189
  dataset: tasksource/goal-step-wikihow
@@ -3197,7 +3197,7 @@ sources:
3197
  - mit
3198
  goal-step-wikihow/order:
3199
  rows:
3200
- train: 9157
3201
  validation: 21
3202
  test: 20
3203
  dataset: tasksource/goal-step-wikihow
@@ -3210,7 +3210,7 @@ sources:
3210
  tasksource/goal-step-wikihow: *id015
3211
  goal-step-wikihow/step:
3212
  rows:
3213
- train: 9069
3214
  validation: 18
3215
  test: 22
3216
  dataset: tasksource/goal-step-wikihow
@@ -3240,7 +3240,7 @@ sources:
3240
  annotators: 5
3241
  hans:
3242
  rows:
3243
- train: 4378
3244
  validation: 23
3245
  test: 22
3246
  dataset: tasksource/hans
@@ -3252,7 +3252,7 @@ sources:
3252
  license_use: unspecified
3253
  hate_speech18:
3254
  rows:
3255
- train: 3993
3256
  validation: 22
3257
  test: 24
3258
  dataset: tasksource/hate_speech18
@@ -3269,7 +3269,7 @@ sources:
3269
  - CC BY-SA 3.0
3270
  hate_speech_offensive:
3271
  rows:
3272
- train: 5183
3273
  validation: 28
3274
  test: 28
3275
  dataset: tdavidson/hate_speech_offensive
@@ -3297,7 +3297,7 @@ sources:
3297
  - mit
3298
  headline_cause/en_simple:
3299
  rows:
3300
- train: 4834
3301
  validation: 28
3302
  test: 28
3303
  data_files_from:
@@ -3311,7 +3311,7 @@ sources:
3311
  - cc0-1.0
3312
  health_fact:
3313
  rows:
3314
- train: 5303
3315
  validation: 30
3316
  test: 28
3317
  dataset: marcov/health_fact_promptsource
@@ -3326,7 +3326,7 @@ sources:
3326
  - mit
3327
  hellaswag:
3328
  rows:
3329
- train: 14696
3330
  validation: 61
3331
  test: 61
3332
  dataset: Rowan/hellaswag
@@ -3336,7 +3336,7 @@ sources:
3336
  license_use: unspecified
3337
  help-nli:
3338
  rows:
3339
- train: 6283
3340
  validation: 33
3341
  test: 35
3342
  dataset: tasksource/help-nli
@@ -3351,7 +3351,7 @@ sources:
3351
  - CC BY-SA 4.0
3352
  hh-rlhf/harmless-base:
3353
  rows:
3354
- train: 7035
3355
  validation: 12
3356
  test: 14
3357
  dataset: tasksource/hh-rlhf
@@ -3364,7 +3364,7 @@ sources:
3364
  - MIT License
3365
  hh-rlhf/helpful-base:
3366
  rows:
3367
- train: 7000
3368
  validation: 12
3369
  test: 13
3370
  dataset: tasksource/hh-rlhf
@@ -3377,7 +3377,7 @@ sources:
3377
  - MIT License
3378
  hh-rlhf/helpful-online:
3379
  rows:
3380
- train: 6998
3381
  validation: 11
3382
  test: 12
3383
  dataset: tasksource/hh-rlhf
@@ -3390,7 +3390,7 @@ sources:
3390
  - MIT License
3391
  hh-rlhf/helpful-rejection-sampled:
3392
  rows:
3393
- train: 7025
3394
  validation: 14
3395
  test: 10
3396
  dataset: tasksource/hh-rlhf
@@ -3403,7 +3403,7 @@ sources:
3403
  - MIT License
3404
  hlgd:
3405
  rows:
3406
- train: 4103
3407
  validation: 23
3408
  test: 22
3409
  dataset: tasksource/hlgd
@@ -3420,7 +3420,7 @@ sources:
3420
  - Apache License 2.0
3421
  hope_edi/english:
3422
  rows:
3423
- train: 5191
3424
  validation: 28
3425
  test: 28
3426
  source_urls:
@@ -3435,7 +3435,7 @@ sources:
3435
  - cc-by-4.0
3436
  hover:
3437
  rows:
3438
- train: 4054
3439
  validation: 22
3440
  test: 23
3441
  dataset: Dzeniks/hover
@@ -3448,7 +3448,7 @@ sources:
3448
  - mit
3449
  humicroedit/subtask-1:
3450
  rows:
3451
- train: 1277
3452
  validation: 5
3453
  test: 10
3454
  dataset: tasksource/humicroedit
@@ -3461,7 +3461,7 @@ sources:
3461
  license_use: unspecified
3462
  humicroedit/subtask-2:
3463
  rows:
3464
- train: 1425
3465
  validation: 10
3466
  test: 4
3467
  dataset: tasksource/humicroedit
@@ -3486,7 +3486,7 @@ sources:
3486
  - CC BY 4.0
3487
  idioms-nli:
3488
  rows:
3489
- train: 4173
3490
  validation: 23
3491
  test: 26
3492
  dataset: tasksource/idioms-nli
@@ -3496,7 +3496,7 @@ sources:
3496
  license_use: unspecified
3497
  imdb:
3498
  rows:
3499
- train: 4222
3500
  validation: 23
3501
  test: 22
3502
  dataset: stanfordnlp/imdb
@@ -3522,7 +3522,7 @@ sources:
3522
  - gpl
3523
  implicit-hate-stg1:
3524
  rows:
3525
- train: 5089
3526
  validation: 28
3527
  test: 32
3528
  dataset: tasksource/implicit-hate-stg1
@@ -3534,7 +3534,7 @@ sources:
3534
  - Request Form
3535
  insincere-questions:
3536
  rows:
3537
- train: 4398
3538
  validation: 25
3539
  test: 22
3540
  dataset: SetFit/insincere-questions
@@ -3557,7 +3557,7 @@ sources:
3557
  - cc-by-4.0
3558
  jigsaw_toxicity:
3559
  rows:
3560
- train: 4318
3561
  validation: 22
3562
  test: 22
3563
  dataset: tasksource/jigsaw_toxicity
@@ -3570,7 +3570,7 @@ sources:
3570
  - apache-2.0
3571
  joci:
3572
  rows:
3573
- train: 5212
3574
  validation: 30
3575
  test: 28
3576
  dataset: pietrolesci/joci
@@ -3580,7 +3580,7 @@ sources:
3580
  license_use: unspecified
3581
  language-identification:
3582
  rows:
3583
- train: 3404
3584
  validation: 17
3585
  test: 16
3586
  dataset: papluca/language-identification
@@ -3640,7 +3640,7 @@ sources:
3640
  annotators: 5
3641
  lex_glue/case_hold:
3642
  rows:
3643
- train: 14690
3644
  validation: 63
3645
  test: 64
3646
  dataset: coastalcph/lex_glue
@@ -3654,7 +3654,7 @@ sources:
3654
  - cc-by-4.0
3655
  lex_glue/ledgar:
3656
  rows:
3657
- train: 2386
3658
  validation: 12
3659
  test: 12
3660
  dataset: coastalcph/lex_glue
@@ -3667,7 +3667,7 @@ sources:
3667
  coastalcph/lex_glue: *id017
3668
  lex_glue/scotus:
3669
  rows:
3670
- train: 2481
3671
  validation: 11
3672
  test: 11
3673
  dataset: coastalcph/lex_glue
@@ -3682,7 +3682,7 @@ sources:
3682
  - Custom
3683
  lex_glue/unfair_tos:
3684
  rows:
3685
- train: 2459
3686
  validation: 11
3687
  test: 11
3688
  dataset: coastalcph/lex_glue
@@ -3695,7 +3695,7 @@ sources:
3695
  coastalcph/lex_glue: *id017
3696
  lexical_relation_classification/BLESS:
3697
  rows:
3698
- train: 1202
3699
  validation: 6
3700
  test: 6
3701
  config: BLESS
@@ -3712,7 +3712,7 @@ sources:
3712
  - CC BY-NC 4.0
3713
  lexical_relation_classification/CogALexV:
3714
  rows:
3715
- train: 1176
3716
  validation: 5
3717
  test: 7
3718
  data_files_from:
@@ -3727,7 +3727,7 @@ sources:
3727
  - CC BY-NC 4.0
3728
  lexical_relation_classification/EVALution:
3729
  rows:
3730
- train: 1203
3731
  validation: 6
3732
  test: 6
3733
  config: EVALution
@@ -3743,7 +3743,7 @@ sources:
3743
  - CC BY-NC 4.0
3744
  lexical_relation_classification/K&H+N:
3745
  rows:
3746
- train: 1216
3747
  validation: 8
3748
  test: 5
3749
  config: K&H+N
@@ -3759,7 +3759,7 @@ sources:
3759
  - CC BY-NC 4.0
3760
  lexical_relation_classification/ROOT09:
3761
  rows:
3762
- train: 1237
3763
  validation: 4
3764
  test: 5
3765
  config: ROOT09
@@ -3775,7 +3775,7 @@ sources:
3775
  - CC BY-NC 4.0
3776
  liar:
3777
  rows:
3778
- train: 3007
3779
  validation: 17
3780
  test: 16
3781
  dataset: tasksource/liar
@@ -3787,7 +3787,7 @@ sources:
3787
  license_use: unspecified
3788
  lifecycle-entailment:
3789
  rows:
3790
- train: 3948
3791
  validation: 22
3792
  test: 22
3793
  dataset: tasksource/lifecycle-entailment
@@ -3797,7 +3797,7 @@ sources:
3797
  license_use: unspecified
3798
  lingnli:
3799
  rows:
3800
- train: 5306
3801
  validation: 29
3802
  test: 29
3803
  dataset: tasksource/lingnli
@@ -3807,7 +3807,7 @@ sources:
3807
  license_use: unspecified
3808
  linguisticprobing/bigram_shift:
3809
  rows:
3810
- train: 582
3811
  validation: 1
3812
  test: 1
3813
  dataset: tasksource/linguisticprobing
@@ -3818,7 +3818,7 @@ sources:
3818
  license_use: unspecified
3819
  linguisticprobing/coordination_inversion:
3820
  rows:
3821
- train: 651
3822
  validation: 1
3823
  test: 1
3824
  dataset: tasksource/linguisticprobing
@@ -3829,7 +3829,7 @@ sources:
3829
  license_use: unspecified
3830
  linguisticprobing/obj_number:
3831
  rows:
3832
- train: 603
3833
  validation: 1
3834
  dataset: tasksource/linguisticprobing
3835
  config: obj_number
@@ -3839,7 +3839,7 @@ sources:
3839
  license_use: unspecified
3840
  linguisticprobing/odd_man_out:
3841
  rows:
3842
- train: 628
3843
  dataset: tasksource/linguisticprobing
3844
  config: odd_man_out
3845
  revisions:
@@ -3848,7 +3848,7 @@ sources:
3848
  license_use: unspecified
3849
  linguisticprobing/past_present:
3850
  rows:
3851
- train: 629
3852
  dataset: tasksource/linguisticprobing
3853
  config: past_present
3854
  revisions:
@@ -3857,7 +3857,7 @@ sources:
3857
  license_use: unspecified
3858
  linguisticprobing/subj_number:
3859
  rows:
3860
- train: 628
3861
  dataset: tasksource/linguisticprobing
3862
  config: subj_number
3863
  revisions:
@@ -3866,7 +3866,7 @@ sources:
3866
  license_use: unspecified
3867
  linguisticprobing/top_constituents:
3868
  rows:
3869
- train: 602
3870
  dataset: tasksource/linguisticprobing
3871
  config: top_constituents
3872
  revisions:
@@ -3875,7 +3875,7 @@ sources:
3875
  license_use: unspecified
3876
  logical-entailment:
3877
  rows:
3878
- train: 4369
3879
  validation: 22
3880
  test: 22
3881
  dataset: tasksource/logical-entailment
@@ -3910,7 +3910,7 @@ sources:
3910
  license_use: unspecified
3911
  logiqa-2.0-nli:
3912
  rows:
3913
- train: 5804
3914
  validation: 33
3915
  test: 33
3916
  dataset: tasksource/logiqa-2.0-nli
@@ -3925,7 +3925,7 @@ sources:
3925
  - CC BY-NC-SA 4.0
3926
  lonli:
3927
  rows:
3928
- train: 5331
3929
  validation: 31
3930
  test: 28
3931
  dataset: tasksource/lonli
@@ -3969,7 +3969,7 @@ sources:
3969
  license_use: unspecified
3970
  math_qa:
3971
  rows:
3972
- train: 14577
3973
  validation: 60
3974
  test: 60
3975
  dataset: tasksource/math_qa
@@ -3984,7 +3984,7 @@ sources:
3984
  - apache-2.0
3985
  mc_taco:
3986
  rows:
3987
- train: 4380
3988
  validation: 23
3989
  test: 22
3990
  dataset: marcov/mc_taco_promptsource
@@ -4016,7 +4016,7 @@ sources:
4016
  license_use: unspecified
4017
  medmcqa:
4018
  rows:
4019
- train: 14734
4020
  validation: 62
4021
  test: 62
4022
  dataset: openlifescienceai/medmcqa
@@ -4029,7 +4029,7 @@ sources:
4029
  - apache-2.0
4030
  mindgames:
4031
  rows:
4032
- train: 4018
4033
  validation: 23
4034
  test: 22
4035
  dataset: sileod/mindgames
@@ -4044,7 +4044,7 @@ sources:
4044
  - Apache License 2.0
4045
  missing-item-prediction/contrastive:
4046
  rows:
4047
- train: 1996
4048
  validation: 11
4049
  test: 11
4050
  dataset: sileod/missing-item-prediction
@@ -4065,7 +4065,7 @@ sources:
4065
  license_use: unspecified
4066
  monotonicity-entailment:
4067
  rows:
4068
- train: 3883
4069
  validation: 23
4070
  test: 23
4071
  dataset: tasksource/monotonicity-entailment
@@ -4078,7 +4078,7 @@ sources:
4078
  - apache-2.0
4079
  moral_stories/full:
4080
  rows:
4081
- train: 8999
4082
  validation: 48
4083
  test: 49
4084
  dataset: LabHC/moral_stories
@@ -4095,7 +4095,7 @@ sources:
4095
  - MIT License
4096
  mpe:
4097
  rows:
4098
- train: 4902
4099
  validation: 28
4100
  test: 30
4101
  dataset: pietrolesci/mpe
@@ -4105,7 +4105,7 @@ sources:
4105
  license_use: unspecified
4106
  multilingual/AfriSenti-twitter-sentiment/amh:
4107
  rows:
4108
- train: 470
4109
  validation: 3
4110
  test: 3
4111
  dataset: mteb/AfriSentiClassification
@@ -4121,7 +4121,7 @@ sources:
4121
  - cc-by-4.0
4122
  multilingual/AfriSenti-twitter-sentiment/arq:
4123
  rows:
4124
- train: 476
4125
  validation: 3
4126
  test: 3
4127
  dataset: mteb/AfriSentiClassification
@@ -4136,7 +4136,7 @@ sources:
4136
  mteb/AfriSentiClassification: *id019
4137
  multilingual/AfriSenti-twitter-sentiment/ary:
4138
  rows:
4139
- train: 483
4140
  validation: 3
4141
  test: 4
4142
  dataset: mteb/AfriSentiClassification
@@ -4151,7 +4151,7 @@ sources:
4151
  mteb/AfriSentiClassification: *id019
4152
  multilingual/AfriSenti-twitter-sentiment/hau:
4153
  rows:
4154
- train: 492
4155
  validation: 3
4156
  test: 2
4157
  dataset: mteb/AfriSentiClassification
@@ -4166,7 +4166,7 @@ sources:
4166
  mteb/AfriSentiClassification: *id019
4167
  multilingual/AfriSenti-twitter-sentiment/ibo:
4168
  rows:
4169
- train: 471
4170
  validation: 2
4171
  test: 2
4172
  dataset: mteb/AfriSentiClassification
@@ -4181,7 +4181,7 @@ sources:
4181
  mteb/AfriSentiClassification: *id019
4182
  multilingual/AfriSenti-twitter-sentiment/kin:
4183
  rows:
4184
- train: 473
4185
  validation: 4
4186
  test: 3
4187
  dataset: mteb/AfriSentiClassification
@@ -4196,7 +4196,7 @@ sources:
4196
  mteb/AfriSentiClassification: *id019
4197
  multilingual/AfriSenti-twitter-sentiment/pcm:
4198
  rows:
4199
- train: 471
4200
  validation: 2
4201
  test: 3
4202
  dataset: mteb/AfriSentiClassification
@@ -4211,7 +4211,7 @@ sources:
4211
  mteb/AfriSentiClassification: *id019
4212
  multilingual/AfriSenti-twitter-sentiment/por:
4213
  rows:
4214
- train: 463
4215
  validation: 2
4216
  test: 2
4217
  dataset: mteb/AfriSentiClassification
@@ -4226,7 +4226,7 @@ sources:
4226
  mteb/AfriSentiClassification: *id019
4227
  multilingual/AfriSenti-twitter-sentiment/swa:
4228
  rows:
4229
- train: 468
4230
  validation: 2
4231
  test: 2
4232
  dataset: mteb/AfriSentiClassification
@@ -4241,7 +4241,7 @@ sources:
4241
  mteb/AfriSentiClassification: *id019
4242
  multilingual/AfriSenti-twitter-sentiment/tso:
4243
  rows:
4244
- train: 478
4245
  validation: 2
4246
  test: 2
4247
  dataset: mteb/AfriSentiClassification
@@ -4256,7 +4256,7 @@ sources:
4256
  mteb/AfriSentiClassification: *id019
4257
  multilingual/AfriSenti-twitter-sentiment/twi:
4258
  rows:
4259
- train: 473
4260
  validation: 2
4261
  test: 2
4262
  dataset: mteb/AfriSentiClassification
@@ -4271,7 +4271,7 @@ sources:
4271
  mteb/AfriSentiClassification: *id019
4272
  multilingual/AfriSenti-twitter-sentiment/yor:
4273
  rows:
4274
- train: 469
4275
  validation: 3
4276
  test: 2
4277
  dataset: mteb/AfriSentiClassification
@@ -4286,7 +4286,7 @@ sources:
4286
  mteb/AfriSentiClassification: *id019
4287
  multilingual/MLMA_hate_speech:
4288
  rows:
4289
- train: 3106
4290
  validation: 17
4291
  test: 16
4292
  dataset: nedjmaou/MLMA_hate_speech
@@ -4299,7 +4299,7 @@ sources:
4299
  - mit
4300
  multilingual/NusaX-senti/ace:
4301
  rows:
4302
- train: 400
4303
  validation: 3
4304
  test: 3
4305
  dataset: mteb/NusaX-senti
@@ -4429,7 +4429,7 @@ sources:
4429
  indonlp/NusaX-senti: *id021
4430
  multilingual/NusaX-senti/mad:
4431
  rows:
4432
- train: 402
4433
  validation: 2
4434
  test: 2
4435
  dataset: mteb/NusaX-senti
@@ -4461,7 +4461,7 @@ sources:
4461
  indonlp/NusaX-senti: *id021
4462
  multilingual/NusaX-senti/nij:
4463
  rows:
4464
- train: 411
4465
  validation: 3
4466
  test: 3
4467
  dataset: mteb/NusaX-senti
@@ -4477,7 +4477,7 @@ sources:
4477
  indonlp/NusaX-senti: *id021
4478
  multilingual/NusaX-senti/sun:
4479
  rows:
4480
- train: 402
4481
  validation: 2
4482
  test: 2
4483
  dataset: mteb/NusaX-senti
@@ -4493,7 +4493,7 @@ sources:
4493
  indonlp/NusaX-senti: *id021
4494
  multilingual/amazon_reviews_multi/all_languages:
4495
  rows:
4496
- train: 5174
4497
  validation: 29
4498
  test: 29
4499
  dataset: goosmanlei/amazon_reviews_multi
@@ -4525,7 +4525,7 @@ sources:
4525
  - cc-by-sa-4.0
4526
  multilingual/clue/afqmc:
4527
  rows:
4528
- train: 2125
4529
  validation: 12
4530
  test: 12
4531
  dataset: clue/clue
@@ -4536,7 +4536,7 @@ sources:
4536
  license_use: unspecified
4537
  multilingual/clue/ocnli:
4538
  rows:
4539
- train: 2216
4540
  validation: 9
4541
  test: 8
4542
  dataset: clue/clue
@@ -4547,7 +4547,7 @@ sources:
4547
  license_use: unspecified
4548
  multilingual/clue/tnews:
4549
  rows:
4550
- train: 2078
4551
  validation: 7
4552
  test: 8
4553
  dataset: clue/clue
@@ -4558,7 +4558,7 @@ sources:
4558
  license_use: unspecified
4559
  multilingual/disrpt/deu.rst.pcc.rels:
4560
  rows:
4561
- train: 782
4562
  validation: 4
4563
  test: 5
4564
  dataset: multilingual-discourse-hub/disrpt
@@ -4571,7 +4571,7 @@ sources:
4571
  multilingual-discourse-hub/disrpt: *id022
4572
  multilingual/disrpt/eus.rst.ert.rels:
4573
  rows:
4574
- train: 784
4575
  validation: 3
4576
  test: 6
4577
  dataset: multilingual-discourse-hub/disrpt
@@ -4584,7 +4584,7 @@ sources:
4584
  multilingual-discourse-hub/disrpt: *id022
4585
  multilingual/disrpt/fas.rst.prstc.rels:
4586
  rows:
4587
- train: 790
4588
  validation: 4
4589
  test: 3
4590
  dataset: multilingual-discourse-hub/disrpt
@@ -4597,7 +4597,7 @@ sources:
4597
  multilingual-discourse-hub/disrpt: *id022
4598
  multilingual/disrpt/fra.sdrt.annodis.rels:
4599
  rows:
4600
- train: 798
4601
  validation: 4
4602
  test: 3
4603
  dataset: multilingual-discourse-hub/disrpt
@@ -4610,7 +4610,7 @@ sources:
4610
  multilingual-discourse-hub/disrpt: *id022
4611
  multilingual/disrpt/nld.rst.nldt.rels:
4612
  rows:
4613
- train: 775
4614
  validation: 4
4615
  test: 3
4616
  dataset: multilingual-discourse-hub/disrpt
@@ -4623,7 +4623,7 @@ sources:
4623
  multilingual-discourse-hub/disrpt: *id022
4624
  multilingual/disrpt/por.rst.cstn.rels:
4625
  rows:
4626
- train: 790
4627
  validation: 3
4628
  test: 3
4629
  dataset: multilingual-discourse-hub/disrpt
@@ -4636,7 +4636,7 @@ sources:
4636
  multilingual-discourse-hub/disrpt: *id022
4637
  multilingual/disrpt/rus.rst.rrt.rels:
4638
  rows:
4639
- train: 759
4640
  validation: 3
4641
  test: 5
4642
  dataset: multilingual-discourse-hub/disrpt
@@ -4649,7 +4649,7 @@ sources:
4649
  multilingual-discourse-hub/disrpt: *id022
4650
  multilingual/disrpt/spa.rst.rststb.rels:
4651
  rows:
4652
- train: 787
4653
  validation: 4
4654
  test: 6
4655
  dataset: multilingual-discourse-hub/disrpt
@@ -4662,7 +4662,7 @@ sources:
4662
  multilingual-discourse-hub/disrpt: *id022
4663
  multilingual/disrpt/tha.pdtb.tdtb.rels:
4664
  rows:
4665
- train: 789
4666
  validation: 6
4667
  test: 3
4668
  dataset: multilingual-discourse-hub/disrpt
@@ -4675,7 +4675,7 @@ sources:
4675
  multilingual-discourse-hub/disrpt: *id022
4676
  multilingual/disrpt/zho.rst.gcdt.rels:
4677
  rows:
4678
- train: 745
4679
  validation: 4
4680
  test: 3
4681
  dataset: multilingual-discourse-hub/disrpt
@@ -4702,7 +4702,7 @@ sources:
4702
  - cc-by-sa-4.0
4703
  multilingual/indic_glue/actsa-sc.te/sentiment:
4704
  rows:
4705
- train: 854
4706
  validation: 5
4707
  test: 4
4708
  dataset: ai4bharat/indic_glue
@@ -4716,7 +4716,7 @@ sources:
4716
  - other
4717
  multilingual/indic_glue/bbca.hi/news:
4718
  rows:
4719
- train: 845
4720
  validation: 5
4721
  test: 5
4722
  dataset: ai4bharat/indic_glue
@@ -4729,7 +4729,7 @@ sources:
4729
  ai4bharat/indic_glue: *id023
4730
  multilingual/indic_glue/iitp-mr.hi/sentiment:
4731
  rows:
4732
- train: 808
4733
  validation: 5
4734
  test: 7
4735
  dataset: ai4bharat/indic_glue
@@ -4742,7 +4742,7 @@ sources:
4742
  ai4bharat/indic_glue: *id023
4743
  multilingual/indic_glue/iitp-pr.hi/sentiment:
4744
  rows:
4745
- train: 805
4746
  validation: 4
4747
  test: 3
4748
  dataset: ai4bharat/indic_glue
@@ -4755,7 +4755,7 @@ sources:
4755
  ai4bharat/indic_glue: *id023
4756
  multilingual/indic_glue/inltkh:
4757
  rows:
4758
- train: 898
4759
  validation: 4
4760
  test: 3
4761
  data_files_from:
@@ -4768,7 +4768,7 @@ sources:
4768
  ai4bharat/indic_glue: *id023
4769
  multilingual/indic_glue/inltkh.te/sentiment:
4770
  rows:
4771
- train: 776
4772
  validation: 4
4773
  test: 4
4774
  dataset: ai4bharat/indic_glue
@@ -4781,7 +4781,7 @@ sources:
4781
  ai4bharat/indic_glue: *id023
4782
  multilingual/indic_glue/md.hi/discourse_mode:
4783
  rows:
4784
- train: 888
4785
  validation: 4
4786
  test: 4
4787
  dataset: ai4bharat/indic_glue
@@ -4794,7 +4794,7 @@ sources:
4794
  ai4bharat/indic_glue: *id023
4795
  multilingual/indic_glue/sna.bn/news:
4796
  rows:
4797
- train: 916
4798
  validation: 5
4799
  test: 3
4800
  dataset: ai4bharat/indic_glue
@@ -4807,7 +4807,7 @@ sources:
4807
  ai4bharat/indic_glue: *id023
4808
  multilingual/indic_glue/wstp:
4809
  rows:
4810
- train: 14203
4811
  validation: 64
4812
  test: 60
4813
  data_files_from:
@@ -4820,7 +4820,7 @@ sources:
4820
  ai4bharat/indic_glue: *id023
4821
  multilingual/klue/nli:
4822
  rows:
4823
- train: 1994
4824
  validation: 12
4825
  test: 14
4826
  dataset: klue/klue
@@ -4834,7 +4834,7 @@ sources:
4834
  - cc-by-sa-4.0
4835
  multilingual/klue/sts:
4836
  rows:
4837
- train: 2068
4838
  validation: 11
4839
  test: 10
4840
  dataset: klue/klue
@@ -4847,7 +4847,7 @@ sources:
4847
  klue/klue: *id024
4848
  multilingual/klue/ynat:
4849
  rows:
4850
- train: 1996
4851
  validation: 10
4852
  test: 9
4853
  dataset: klue/klue
@@ -4860,7 +4860,7 @@ sources:
4860
  klue/klue: *id024
4861
  multilingual/language-identification:
4862
  rows:
4863
- train: 3374
4864
  validation: 17
4865
  test: 16
4866
  dataset: papluca/language-identification
@@ -4874,7 +4874,7 @@ sources:
4874
  - Custom
4875
  multilingual/masakhanews/amh:
4876
  rows:
4877
- train: 327
4878
  validation: 4
4879
  test: 2
4880
  dataset: masakhane/masakhanews
@@ -4888,7 +4888,7 @@ sources:
4888
  - afl-3.0
4889
  multilingual/masakhanews/eng:
4890
  rows:
4891
- train: 330
4892
  validation: 3
4893
  test: 5
4894
  dataset: masakhane/masakhanews
@@ -4914,7 +4914,7 @@ sources:
4914
  masakhane/masakhanews: *id025
4915
  multilingual/masakhanews/hau:
4916
  rows:
4917
- train: 335
4918
  validation: 2
4919
  test: 2
4920
  dataset: masakhane/masakhanews
@@ -4940,7 +4940,7 @@ sources:
4940
  masakhane/masakhanews: *id025
4941
  multilingual/masakhanews/lin:
4942
  rows:
4943
- train: 329
4944
  validation: 1
4945
  test: 2
4946
  dataset: masakhane/masakhanews
@@ -4953,7 +4953,7 @@ sources:
4953
  masakhane/masakhanews: *id025
4954
  multilingual/masakhanews/lug:
4955
  rows:
4956
- train: 321
4957
  validation: 1
4958
  test: 2
4959
  dataset: masakhane/masakhanews
@@ -4966,7 +4966,7 @@ sources:
4966
  masakhane/masakhanews: *id025
4967
  multilingual/masakhanews/orm:
4968
  rows:
4969
- train: 326
4970
  validation: 4
4971
  test: 2
4972
  dataset: masakhane/masakhanews
@@ -4979,7 +4979,7 @@ sources:
4979
  masakhane/masakhanews: *id025
4980
  multilingual/masakhanews/pcm:
4981
  rows:
4982
- train: 323
4983
  validation: 1
4984
  test: 1
4985
  dataset: masakhane/masakhanews
@@ -4992,7 +4992,7 @@ sources:
4992
  masakhane/masakhanews: *id025
4993
  multilingual/masakhanews/run:
4994
  rows:
4995
- train: 308
4996
  validation: 1
4997
  test: 1
4998
  dataset: masakhane/masakhanews
@@ -5005,7 +5005,7 @@ sources:
5005
  masakhane/masakhanews: *id025
5006
  multilingual/masakhanews/sna:
5007
  rows:
5008
- train: 314
5009
  validation: 1
5010
  test: 1
5011
  dataset: masakhane/masakhanews
@@ -5018,7 +5018,7 @@ sources:
5018
  masakhane/masakhanews: *id025
5019
  multilingual/masakhanews/som:
5020
  rows:
5021
- train: 322
5022
  validation: 1
5023
  test: 2
5024
  dataset: masakhane/masakhanews
@@ -5031,7 +5031,7 @@ sources:
5031
  masakhane/masakhanews: *id025
5032
  multilingual/masakhanews/swa:
5033
  rows:
5034
- train: 316
5035
  validation: 1
5036
  test: 1
5037
  dataset: masakhane/masakhanews
@@ -5044,7 +5044,7 @@ sources:
5044
  masakhane/masakhanews: *id025
5045
  multilingual/masakhanews/tir:
5046
  rows:
5047
- train: 328
5048
  validation: 1
5049
  test: 1
5050
  dataset: masakhane/masakhanews
@@ -5057,7 +5057,7 @@ sources:
5057
  masakhane/masakhanews: *id025
5058
  multilingual/masakhanews/xho:
5059
  rows:
5060
- train: 318
5061
  validation: 4
5062
  test: 1
5063
  dataset: masakhane/masakhanews
@@ -5070,7 +5070,7 @@ sources:
5070
  masakhane/masakhanews: *id025
5071
  multilingual/masakhanews/yor:
5072
  rows:
5073
- train: 313
5074
  validation: 1
5075
  test: 1
5076
  dataset: masakhane/masakhanews
@@ -5083,7 +5083,7 @@ sources:
5083
  masakhane/masakhanews: *id025
5084
  multilingual/massive:
5085
  rows:
5086
- train: 6802
5087
  validation: 39
5088
  test: 39
5089
  dataset: mteb/MassiveIntentClassification
@@ -5099,7 +5099,7 @@ sources:
5099
  - cc-by-4.0
5100
  multilingual/miam:
5101
  rows:
5102
- train: 5825
5103
  validation: 35
5104
  test: 33
5105
  source_urls:
@@ -5115,7 +5115,7 @@ sources:
5115
  - cc-by-sa-4.0
5116
  multilingual/mms:
5117
  rows:
5118
- train: 5193
5119
  validation: 29
5120
  test: 30
5121
  data_files_from:
@@ -5133,7 +5133,7 @@ sources:
5133
  - other
5134
  multilingual/mtop:
5135
  rows:
5136
- train: 7137
5137
  validation: 39
5138
  test: 39
5139
  dataset: tasksource/mtop
@@ -5146,7 +5146,7 @@ sources:
5146
  - cc-by-sa-4.0
5147
  multilingual/multilingual-NLI-26lang-2mil7:
5148
  rows:
5149
- train: 5334
5150
  validation: 31
5151
  test: 30
5152
  dataset: MoritzLaurer/multilingual-NLI-26lang-2mil7
@@ -5156,7 +5156,7 @@ sources:
5156
  license_use: unspecified
5157
  multilingual/multilingual-sentiments/all:
5158
  rows:
5159
- train: 4984
5160
  validation: 28
5161
  test: 28
5162
  dataset: tasksource/multilingual-sentiments
@@ -5171,7 +5171,7 @@ sources:
5171
  - apache-2.0
5172
  multilingual/oasst1_pairwise_rlhf_reward:
5173
  rows:
5174
- train: 10229
5175
  validation: 50
5176
  test: 49
5177
  dataset: tasksource/oasst1_pairwise_rlhf_reward
@@ -5181,7 +5181,7 @@ sources:
5181
  license_use: unspecified
5182
  multilingual/offenseval_2020/ar:
5183
  rows:
5184
- train: 1156
5185
  validation: 6
5186
  test: 5
5187
  dataset: khalidalt/offenseval_2020_ar
@@ -5191,7 +5191,7 @@ sources:
5191
  license_use: unspecified
5192
  multilingual/offenseval_2020/da:
5193
  rows:
5194
- train: 1170
5195
  validation: 5
5196
  test: 9
5197
  dataset: tasksource/offenseval_2020
@@ -5202,7 +5202,7 @@ sources:
5202
  license_use: unspecified
5203
  multilingual/offenseval_2020/gr:
5204
  rows:
5205
- train: 1172
5206
  validation: 5
5207
  test: 5
5208
  dataset: tasksource/offenseval_2020
@@ -5213,7 +5213,7 @@ sources:
5213
  license_use: unspecified
5214
  multilingual/offenseval_2020/tr:
5215
  rows:
5216
- train: 1160
5217
  validation: 6
5218
  test: 4
5219
  dataset: tasksource/offenseval_2020
@@ -5224,7 +5224,7 @@ sources:
5224
  license_use: unspecified
5225
  multilingual/offenseval_dravidian/kannada:
5226
  rows:
5227
- train: 2247
5228
  validation: 13
5229
  test: 17
5230
  dataset: community-datasets/offenseval_dravidian
@@ -5238,7 +5238,7 @@ sources:
5238
  - cc-by-4.0
5239
  multilingual/offenseval_dravidian/malayalam:
5240
  rows:
5241
- train: 2225
5242
  validation: 11
5243
  test: 10
5244
  dataset: community-datasets/offenseval_dravidian
@@ -5251,7 +5251,7 @@ sources:
5251
  community-datasets/offenseval_dravidian: *id026
5252
  multilingual/offenseval_dravidian/tamil:
5253
  rows:
5254
- train: 2267
5255
  validation: 9
5256
  test: 10
5257
  dataset: community-datasets/offenseval_dravidian
@@ -5264,7 +5264,7 @@ sources:
5264
  community-datasets/offenseval_dravidian: *id026
5265
  multilingual/paws-x/de:
5266
  rows:
5267
- train: 1142
5268
  validation: 3
5269
  test: 4
5270
  dataset: google-research-datasets/paws-x
@@ -5278,7 +5278,7 @@ sources:
5278
  - other
5279
  multilingual/paws-x/en:
5280
  rows:
5281
- train: 1125
5282
  validation: 3
5283
  test: 3
5284
  dataset: google-research-datasets/paws-x
@@ -5291,7 +5291,7 @@ sources:
5291
  google-research-datasets/paws-x: *id027
5292
  multilingual/paws-x/es:
5293
  rows:
5294
- train: 1151
5295
  validation: 7
5296
  test: 3
5297
  dataset: google-research-datasets/paws-x
@@ -5304,7 +5304,7 @@ sources:
5304
  google-research-datasets/paws-x: *id027
5305
  multilingual/paws-x/fr:
5306
  rows:
5307
- train: 1152
5308
  validation: 4
5309
  test: 3
5310
  dataset: google-research-datasets/paws-x
@@ -5317,7 +5317,7 @@ sources:
5317
  google-research-datasets/paws-x: *id027
5318
  multilingual/paws-x/ja:
5319
  rows:
5320
- train: 1161
5321
  validation: 2
5322
  test: 4
5323
  dataset: google-research-datasets/paws-x
@@ -5330,7 +5330,7 @@ sources:
5330
  google-research-datasets/paws-x: *id027
5331
  multilingual/paws-x/ko:
5332
  rows:
5333
- train: 1121
5334
  validation: 2
5335
  test: 3
5336
  dataset: google-research-datasets/paws-x
@@ -5343,7 +5343,7 @@ sources:
5343
  google-research-datasets/paws-x: *id027
5344
  multilingual/paws-x/zh:
5345
  rows:
5346
- train: 1117
5347
  validation: 2
5348
  test: 2
5349
  dataset: google-research-datasets/paws-x
@@ -5356,7 +5356,7 @@ sources:
5356
  google-research-datasets/paws-x: *id027
5357
  multilingual/tweet_sentiment_multilingual:
5358
  rows:
5359
- train: 4968
5360
  validation: 28
5361
  test: 28
5362
  data_files_from:
@@ -5372,7 +5372,7 @@ sources:
5372
  - cc-by-3.0
5373
  multilingual/tydi-as2-balanced:
5374
  rows:
5375
- train: 4410
5376
  validation: 22
5377
  test: 24
5378
  dataset: tasksource/tydi-as2-balanced
@@ -5382,7 +5382,7 @@ sources:
5382
  license_use: unspecified
5383
  multilingual/universal-joy:
5384
  rows:
5385
- train: 5299
5386
  validation: 29
5387
  test: 28
5388
  dataset: tasksource/universal-joy
@@ -5395,7 +5395,7 @@ sources:
5395
  - gpl
5396
  multilingual/wili_2018:
5397
  rows:
5398
- train: 7090
5399
  validation: 39
5400
  test: 40
5401
  dataset: MartinThoma/wili_2018
@@ -5408,7 +5408,7 @@ sources:
5408
  - odbl
5409
  multilingual/x-fact:
5410
  rows:
5411
- train: 3518
5412
  validation: 16
5413
  test: 18
5414
  dataset: tasksource/x-fact
@@ -5418,7 +5418,7 @@ sources:
5418
  license_use: unspecified
5419
  multilingual/x-stance:
5420
  rows:
5421
- train: 4429
5422
  validation: 22
5423
  test: 23
5424
  dataset: michiel/xstance
@@ -5916,7 +5916,7 @@ sources:
5916
  INK-USC/xcsr: *id029
5917
  multilingual/xcsr/X-CSQA-ar:
5918
  rows:
5919
- train: 489
5920
  validation: 2
5921
  test: 2
5922
  dataset: INK-USC/xcsr
@@ -5929,7 +5929,7 @@ sources:
5929
  INK-USC/xcsr: *id029
5930
  multilingual/xcsr/X-CSQA-de:
5931
  rows:
5932
- train: 482
5933
  validation: 2
5934
  test: 2
5935
  dataset: INK-USC/xcsr
@@ -5942,7 +5942,7 @@ sources:
5942
  INK-USC/xcsr: *id029
5943
  multilingual/xcsr/X-CSQA-en:
5944
  rows:
5945
- train: 482
5946
  validation: 2
5947
  test: 2
5948
  dataset: INK-USC/xcsr
@@ -5955,7 +5955,7 @@ sources:
5955
  INK-USC/xcsr: *id029
5956
  multilingual/xcsr/X-CSQA-es:
5957
  rows:
5958
- train: 487
5959
  validation: 3
5960
  test: 2
5961
  dataset: INK-USC/xcsr
@@ -5968,7 +5968,7 @@ sources:
5968
  INK-USC/xcsr: *id029
5969
  multilingual/xcsr/X-CSQA-fr:
5970
  rows:
5971
- train: 496
5972
  validation: 2
5973
  test: 2
5974
  dataset: INK-USC/xcsr
@@ -5981,7 +5981,7 @@ sources:
5981
  INK-USC/xcsr: *id029
5982
  multilingual/xcsr/X-CSQA-hi:
5983
  rows:
5984
- train: 486
5985
  validation: 3
5986
  test: 2
5987
  dataset: INK-USC/xcsr
@@ -5994,7 +5994,7 @@ sources:
5994
  INK-USC/xcsr: *id029
5995
  multilingual/xcsr/X-CSQA-it:
5996
  rows:
5997
- train: 492
5998
  validation: 1
5999
  test: 2
6000
  dataset: INK-USC/xcsr
@@ -6007,7 +6007,7 @@ sources:
6007
  INK-USC/xcsr: *id029
6008
  multilingual/xcsr/X-CSQA-jap:
6009
  rows:
6010
- train: 491
6011
  validation: 1
6012
  test: 2
6013
  dataset: INK-USC/xcsr
@@ -6020,7 +6020,7 @@ sources:
6020
  INK-USC/xcsr: *id029
6021
  multilingual/xcsr/X-CSQA-nl:
6022
  rows:
6023
- train: 484
6024
  validation: 1
6025
  test: 3
6026
  dataset: INK-USC/xcsr
@@ -6033,7 +6033,7 @@ sources:
6033
  INK-USC/xcsr: *id029
6034
  multilingual/xcsr/X-CSQA-pl:
6035
  rows:
6036
- train: 486
6037
  validation: 1
6038
  test: 1
6039
  dataset: INK-USC/xcsr
@@ -6046,7 +6046,7 @@ sources:
6046
  INK-USC/xcsr: *id029
6047
  multilingual/xcsr/X-CSQA-pt:
6048
  rows:
6049
- train: 480
6050
  validation: 2
6051
  test: 1
6052
  dataset: INK-USC/xcsr
@@ -6059,7 +6059,7 @@ sources:
6059
  INK-USC/xcsr: *id029
6060
  multilingual/xcsr/X-CSQA-ru:
6061
  rows:
6062
- train: 491
6063
  validation: 1
6064
  test: 1
6065
  dataset: INK-USC/xcsr
@@ -6072,7 +6072,7 @@ sources:
6072
  INK-USC/xcsr: *id029
6073
  multilingual/xcsr/X-CSQA-sw:
6074
  rows:
6075
- train: 495
6076
  validation: 1
6077
  test: 1
6078
  dataset: INK-USC/xcsr
@@ -6085,7 +6085,7 @@ sources:
6085
  INK-USC/xcsr: *id029
6086
  multilingual/xcsr/X-CSQA-ur:
6087
  rows:
6088
- train: 497
6089
  validation: 1
6090
  test: 1
6091
  dataset: INK-USC/xcsr
@@ -6098,7 +6098,7 @@ sources:
6098
  INK-USC/xcsr: *id029
6099
  multilingual/xcsr/X-CSQA-vi:
6100
  rows:
6101
- train: 481
6102
  validation: 1
6103
  test: 1
6104
  dataset: INK-USC/xcsr
@@ -6111,7 +6111,7 @@ sources:
6111
  INK-USC/xcsr: *id029
6112
  multilingual/xcsr/X-CSQA-zh:
6113
  rows:
6114
- train: 494
6115
  validation: 1
6116
  test: 1
6117
  dataset: INK-USC/xcsr
@@ -6124,7 +6124,7 @@ sources:
6124
  INK-USC/xcsr: *id029
6125
  multilingual/xglue/nc:
6126
  rows:
6127
- train: 1545
6128
  validation: 6
6129
  test: 8
6130
  dataset: SetFit/xglue_nc
@@ -6134,7 +6134,7 @@ sources:
6134
  license_use: unspecified
6135
  multilingual/xglue/qadsm:
6136
  rows:
6137
- train: 1510
6138
  validation: 8
6139
  test: 6
6140
  dataset: tasksource/xglue
@@ -6150,7 +6150,7 @@ sources:
6150
  - other
6151
  multilingual/xglue/qam:
6152
  rows:
6153
- train: 1536
6154
  validation: 6
6155
  test: 4
6156
  dataset: tasksource/xglue
@@ -6165,7 +6165,7 @@ sources:
6165
  microsoft/xglue: *id030
6166
  multilingual/xglue/wpr:
6167
  rows:
6168
- train: 1384
6169
  validation: 3
6170
  test: 4
6171
  dataset: tasksource/xglue
@@ -6180,7 +6180,7 @@ sources:
6180
  microsoft/xglue: *id030
6181
  multilingual/xlwic/xlwic_de_de:
6182
  rows:
6183
- train: 1264
6184
  validation: 4
6185
  test: 4
6186
  dataset: tasksource/xlwic
@@ -6198,7 +6198,7 @@ sources:
6198
  - CC BY-NC 4.0
6199
  multilingual/xlwic/xlwic_en_ko:
6200
  rows:
6201
- train: 1300
6202
  validation: 8
6203
  test: 4
6204
  dataset: tasksource/xlwic
@@ -6215,7 +6215,7 @@ sources:
6215
  - CC BY-NC 4.0
6216
  multilingual/xlwic/xlwic_fr_fr:
6217
  rows:
6218
- train: 1267
6219
  validation: 6
6220
  test: 7
6221
  dataset: tasksource/xlwic
@@ -6232,7 +6232,7 @@ sources:
6232
  - CC BY-NC 4.0
6233
  multilingual/xlwic/xlwic_it_it:
6234
  rows:
6235
- train: 1272
6236
  validation: 4
6237
  test: 7
6238
  dataset: tasksource/xlwic
@@ -6249,7 +6249,7 @@ sources:
6249
  - CC BY-NC 4.0
6250
  multilingual/xnli:
6251
  rows:
6252
- train: 14765
6253
  validation: 85
6254
  test: 84
6255
  dataset: facebook/xnli
@@ -6449,7 +6449,7 @@ sources:
6449
  - cc-by-sa-4.0
6450
  natural-language-satisfiability:
6451
  rows:
6452
- train: 3945
6453
  validation: 23
6454
  test: 22
6455
  dataset: tasksource/natural-language-satisfiability
@@ -6459,7 +6459,7 @@ sources:
6459
  license_use: unspecified
6460
  naturallogic:
6461
  rows:
6462
- train: 4851
6463
  validation: 28
6464
  test: 29
6465
  dataset: tasksource/naturallogic
@@ -6482,7 +6482,7 @@ sources:
6482
  license_use: unspecified
6483
  nli-veridicality-transitivity:
6484
  rows:
6485
- train: 4369
6486
  validation: 22
6487
  test: 22
6488
  dataset: tasksource/nli-veridicality-transitivity
@@ -6505,7 +6505,7 @@ sources:
6505
  license_use: unspecified
6506
  nli_fever:
6507
  rows:
6508
- train: 5331
6509
  validation: 29
6510
  test: 29
6511
  dataset: pietrolesci/nli_fever
@@ -6525,7 +6525,7 @@ sources:
6525
  license_use: unspecified
6526
  numer_sense:
6527
  rows:
6528
- train: 5838
6529
  validation: 33
6530
  test: 33
6531
  dataset: tasksource/numer_sense
@@ -6612,7 +6612,7 @@ sources:
6612
  annotators: 3
6613
  oasst2_pairwise_rlhf_reward:
6614
  rows:
6615
- train: 11986
6616
  validation: 49
6617
  test: 49
6618
  dataset: tasksource/oasst2_pairwise_rlhf_reward
@@ -6655,7 +6655,7 @@ sources:
6655
  - Custom
6656
  openbookqa:
6657
  rows:
6658
- train: 5269
6659
  validation: 31
6660
  test: 32
6661
  dataset: allenai/openbookqa
@@ -6665,7 +6665,7 @@ sources:
6665
  license_use: unspecified
6666
  parade:
6667
  rows:
6668
- train: 3955
6669
  validation: 22
6670
  test: 23
6671
  dataset: tasksource/parade
@@ -6675,7 +6675,7 @@ sources:
6675
  license_use: unspecified
6676
  patent-phrase-similarity:
6677
  rows:
6678
- train: 6227
6679
  validation: 33
6680
  test: 33
6681
  dataset: tasksource/patent-phrase-similarity
@@ -6688,7 +6688,7 @@ sources:
6688
  - cc-by-4.0
6689
  path-naturalness-prediction:
6690
  rows:
6691
- train: 12518
6692
  validation: 50
6693
  test: 50
6694
  dataset: tasksource/path-naturalness-prediction
@@ -6698,7 +6698,7 @@ sources:
6698
  license_use: unspecified
6699
  paws/labeled_final:
6700
  rows:
6701
- train: 2482
6702
  validation: 11
6703
  test: 11
6704
  dataset: google-research-datasets/paws
@@ -6712,7 +6712,7 @@ sources:
6712
  - other
6713
  paws/labeled_swap:
6714
  rows:
6715
- train: 2472
6716
  validation: 11
6717
  test: 11
6718
  dataset: google-research-datasets/paws
@@ -6736,7 +6736,7 @@ sources:
6736
  - cc-by-nc-sa-4.0
6737
  phrase_similarity:
6738
  rows:
6739
- train: 3938
6740
  validation: 22
6741
  test: 22
6742
  dataset: Deehan1866/processed_phrase_similarity
@@ -6753,7 +6753,7 @@ sources:
6753
  - CC BY-NC 4.0
6754
  piqa:
6755
  rows:
6756
- train: 10108
6757
  validation: 51
6758
  test: 51
6759
  dataset: baber/piqa
@@ -6778,7 +6778,7 @@ sources:
6778
  - cc-by-4.0
6779
  pragmeval/emergent:
6780
  rows:
6781
- train: 418
6782
  validation: 2
6783
  test: 2
6784
  dataset: sileod/pragmeval
@@ -6789,7 +6789,7 @@ sources:
6789
  license_use: unspecified
6790
  pragmeval/emobank-arousal:
6791
  rows:
6792
- train: 394
6793
  validation: 2
6794
  test: 3
6795
  dataset: sileod/pragmeval
@@ -6800,7 +6800,7 @@ sources:
6800
  license_use: unspecified
6801
  pragmeval/emobank-dominance:
6802
  rows:
6803
- train: 366
6804
  validation: 2
6805
  test: 2
6806
  dataset: sileod/pragmeval
@@ -6811,7 +6811,7 @@ sources:
6811
  license_use: unspecified
6812
  pragmeval/emobank-valence:
6813
  rows:
6814
- train: 389
6815
  validation: 2
6816
  test: 2
6817
  dataset: sileod/pragmeval
@@ -6822,7 +6822,7 @@ sources:
6822
  license_use: unspecified
6823
  pragmeval/gum:
6824
  rows:
6825
- train: 364
6826
  validation: 2
6827
  test: 2
6828
  dataset: sileod/pragmeval
@@ -6833,7 +6833,7 @@ sources:
6833
  license_use: unspecified
6834
  pragmeval/mrda:
6835
  rows:
6836
- train: 362
6837
  validation: 2
6838
  test: 2
6839
  dataset: sileod/pragmeval
@@ -6844,7 +6844,7 @@ sources:
6844
  license_use: unspecified
6845
  pragmeval/pdtb:
6846
  rows:
6847
- train: 423
6848
  validation: 2
6849
  test: 1
6850
  dataset: sileod/pragmeval
@@ -6866,7 +6866,7 @@ sources:
6866
  license_use: unspecified
6867
  pragmeval/persuasiveness-eloquence:
6868
  rows:
6869
- train: 406
6870
  validation: 2
6871
  test: 1
6872
  dataset: sileod/pragmeval
@@ -6877,7 +6877,7 @@ sources:
6877
  license_use: unspecified
6878
  pragmeval/persuasiveness-premisetype:
6879
  rows:
6880
- train: 398
6881
  validation: 2
6882
  test: 1
6883
  dataset: sileod/pragmeval
@@ -6888,7 +6888,7 @@ sources:
6888
  license_use: unspecified
6889
  pragmeval/persuasiveness-relevance:
6890
  rows:
6891
- train: 393
6892
  validation: 2
6893
  test: 1
6894
  dataset: sileod/pragmeval
@@ -6899,7 +6899,7 @@ sources:
6899
  license_use: unspecified
6900
  pragmeval/persuasiveness-specificity:
6901
  rows:
6902
- train: 405
6903
  validation: 1
6904
  test: 1
6905
  dataset: sileod/pragmeval
@@ -6910,7 +6910,7 @@ sources:
6910
  license_use: unspecified
6911
  pragmeval/persuasiveness-strength:
6912
  rows:
6913
- train: 415
6914
  validation: 2
6915
  test: 1
6916
  dataset: sileod/pragmeval
@@ -6921,7 +6921,7 @@ sources:
6921
  license_use: unspecified
6922
  pragmeval/sarcasm:
6923
  rows:
6924
- train: 426
6925
  validation: 1
6926
  test: 1
6927
  dataset: sileod/pragmeval
@@ -6932,7 +6932,7 @@ sources:
6932
  license_use: unspecified
6933
  pragmeval/squinky-formality:
6934
  rows:
6935
- train: 393
6936
  validation: 1
6937
  test: 1
6938
  dataset: sileod/pragmeval
@@ -6943,7 +6943,7 @@ sources:
6943
  license_use: unspecified
6944
  pragmeval/squinky-implicature:
6945
  rows:
6946
- train: 378
6947
  validation: 1
6948
  test: 1
6949
  dataset: sileod/pragmeval
@@ -6954,7 +6954,7 @@ sources:
6954
  license_use: unspecified
6955
  pragmeval/squinky-informativeness:
6956
  rows:
6957
- train: 379
6958
  validation: 1
6959
  test: 1
6960
  dataset: sileod/pragmeval
@@ -6965,7 +6965,7 @@ sources:
6965
  license_use: unspecified
6966
  pragmeval/stac:
6967
  rows:
6968
- train: 399
6969
  validation: 2
6970
  test: 1
6971
  dataset: sileod/pragmeval
@@ -6976,7 +6976,7 @@ sources:
6976
  license_use: unspecified
6977
  pragmeval/switchboard:
6978
  rows:
6979
- train: 355
6980
  validation: 1
6981
  test: 2
6982
  dataset: sileod/pragmeval
@@ -6987,7 +6987,7 @@ sources:
6987
  license_use: unspecified
6988
  pragmeval/verifiability:
6989
  rows:
6990
- train: 379
6991
  validation: 1
6992
  test: 1
6993
  dataset: sileod/pragmeval
@@ -6998,7 +6998,7 @@ sources:
6998
  license_use: unspecified
6999
  privacy-200k-Mistral-Large-3:
7000
  rows:
7001
- train: 5243
7002
  validation: 29
7003
  test: 28
7004
  dataset: gabrielloiseau/privacy-200k-Mistral-Large-3
@@ -7042,7 +7042,7 @@ sources:
7042
  tasksource/PRM800K: *id035
7043
  probability_words_nli/reasoning_1hop:
7044
  rows:
7045
- train: 1981
7046
  validation: 14
7047
  test: 11
7048
  dataset: sileod/probability_words_nli
@@ -7056,7 +7056,7 @@ sources:
7056
  - CC BY-SA 4.0
7057
  probability_words_nli/reasoning_2hop:
7058
  rows:
7059
- train: 1973
7060
  validation: 11
7061
  test: 11
7062
  dataset: sileod/probability_words_nli
@@ -7253,7 +7253,7 @@ sources:
7253
  tasksource/procedural-typed-decisions: *id036
7254
  prompt-injection-dataset:
7255
  rows:
7256
- train: 4006
7257
  validation: 23
7258
  test: 24
7259
  dataset: S-Labs/prompt-injection-dataset
@@ -7279,7 +7279,7 @@ sources:
7279
  - apache-2.0
7280
  proofwriter:
7281
  rows:
7282
- train: 5381
7283
  validation: 30
7284
  test: 28
7285
  dataset: tasksource/proofwriter
@@ -7289,7 +7289,7 @@ sources:
7289
  license_use: unspecified
7290
  propsegment/nli:
7291
  rows:
7292
- train: 5252
7293
  validation: 30
7294
  test: 28
7295
  source_urls:
@@ -7305,7 +7305,7 @@ sources:
7305
  - cc-by-4.0
7306
  prost:
7307
  rows:
7308
- train: 7756
7309
  validation: 30
7310
  test: 31
7311
  data_files_from:
@@ -7337,7 +7337,7 @@ sources:
7337
  annotators: 100
7338
  qasc:
7339
  rows:
7340
- train: 6763
7341
  validation: 38
7342
  test: 37
7343
  dataset: allenai/qasc
@@ -7350,7 +7350,7 @@ sources:
7350
  - cc-by-4.0
7351
  quail:
7352
  rows:
7353
- train: 10522
7354
  validation: 60
7355
  test: 60
7356
  dataset: textmachinelab/quail
@@ -7363,7 +7363,7 @@ sources:
7363
  - cc-by-nc-sa-4.0
7364
  quarel:
7365
  rows:
7366
- train: 1956
7367
  validation: 11
7368
  test: 11
7369
  dataset: community-datasets/quarel
@@ -7386,7 +7386,7 @@ sources:
7386
  - cc-by-4.0
7387
  race-c:
7388
  rows:
7389
- train: 6864
7390
  validation: 30
7391
  test: 33
7392
  dataset: tasksource/race-c
@@ -7398,7 +7398,7 @@ sources:
7398
  - Non Commercial
7399
  race/high:
7400
  rows:
7401
- train: 10040
7402
  validation: 31
7403
  test: 28
7404
  dataset: ehovy/race
@@ -7412,7 +7412,7 @@ sources:
7412
  - other
7413
  race/middle:
7414
  rows:
7415
- train: 10012
7416
  validation: 30
7417
  test: 32
7418
  dataset: ehovy/race
@@ -7425,7 +7425,7 @@ sources:
7425
  ehovy/race: *id037
7426
  recast/recast_factuality:
7427
  rows:
7428
- train: 870
7429
  validation: 3
7430
  test: 3
7431
  dataset: tasksource/recast
@@ -7438,7 +7438,7 @@ sources:
7438
  - CC BY-SA 4.0
7439
  recast/recast_megaveridicality:
7440
  rows:
7441
- train: 912
7442
  validation: 3
7443
  test: 5
7444
  dataset: tasksource/recast
@@ -7451,7 +7451,7 @@ sources:
7451
  - CC BY-SA 4.0
7452
  recast/recast_ner:
7453
  rows:
7454
- train: 869
7455
  validation: 3
7456
  test: 3
7457
  dataset: tasksource/recast
@@ -7464,7 +7464,7 @@ sources:
7464
  - CC BY-SA 4.0
7465
  recast/recast_puns:
7466
  rows:
7467
- train: 865
7468
  validation: 2
7469
  test: 3
7470
  dataset: tasksource/recast
@@ -7477,7 +7477,7 @@ sources:
7477
  - CC BY-SA 4.0
7478
  recast/recast_sentiment:
7479
  rows:
7480
- train: 896
7481
  validation: 4
7482
  test: 3
7483
  dataset: tasksource/recast
@@ -7490,7 +7490,7 @@ sources:
7490
  - CC BY-SA 4.0
7491
  recast/recast_verbcorner:
7492
  rows:
7493
- train: 865
7494
  validation: 5
7495
  test: 3
7496
  dataset: tasksource/recast
@@ -7503,7 +7503,7 @@ sources:
7503
  - CC BY-SA 4.0
7504
  recast/recast_verbnet:
7505
  rows:
7506
- train: 881
7507
  validation: 2
7508
  test: 2
7509
  dataset: tasksource/recast
@@ -7516,7 +7516,7 @@ sources:
7516
  - CC BY-SA 4.0
7517
  recast_white/dpr:
7518
  rows:
7519
- train: 1654
7520
  validation: 6
7521
  test: 6
7522
  dataset: pietrolesci/recast_white
@@ -7526,7 +7526,7 @@ sources:
7526
  license_use: unspecified
7527
  recast_white/fnplus:
7528
  rows:
7529
- train: 1673
7530
  validation: 10
7531
  test: 10
7532
  dataset: pietrolesci/recast_white
@@ -7536,7 +7536,7 @@ sources:
7536
  license_use: unspecified
7537
  recast_white/sprl:
7538
  rows:
7539
- train: 1691
7540
  validation: 6
7541
  test: 6
7542
  dataset: pietrolesci/recast_white
@@ -7546,7 +7546,7 @@ sources:
7546
  license_use: unspecified
7547
  reclor:
7548
  rows:
7549
- train: 5186
7550
  validation: 31
7551
  test: 32
7552
  dataset: tasksource/reclor
@@ -7559,7 +7559,7 @@ sources:
7559
  - other
7560
  regset:
7561
  rows:
7562
- train: 6094
7563
  validation: 33
7564
  test: 34
7565
  dataset: tasksource/regset
@@ -7569,7 +7569,7 @@ sources:
7569
  license_use: unspecified
7570
  resnli:
7571
  rows:
7572
- train: 4333
7573
  validation: 22
7574
  test: 22
7575
  dataset: tasksource/resnli
@@ -7609,7 +7609,7 @@ sources:
7609
  license_use: unspecified
7610
  robust_nli/IS_CS:
7611
  rows:
7612
- train: 226
7613
  validation: 1
7614
  test: 1
7615
  dataset: pietrolesci/robust_nli
@@ -7623,7 +7623,7 @@ sources:
7623
  - OANC
7624
  robust_nli/LI_LI:
7625
  rows:
7626
- train: 244
7627
  validation: 1
7628
  test: 1
7629
  dataset: pietrolesci/robust_nli
@@ -7637,7 +7637,7 @@ sources:
7637
  - OANC
7638
  robust_nli/PI_CD:
7639
  rows:
7640
- train: 226
7641
  validation: 1
7642
  test: 1
7643
  dataset: pietrolesci/robust_nli
@@ -7651,7 +7651,7 @@ sources:
7651
  - OANC
7652
  robust_nli/PI_SP:
7653
  rows:
7654
- train: 222
7655
  dataset: pietrolesci/robust_nli
7656
  revisions:
7657
  pietrolesci/robust_nli: 429dde22805398bdd6cfece27284f53a44ed6e67
@@ -7663,7 +7663,7 @@ sources:
7663
  - OANC
7664
  robust_nli/ST_LM:
7665
  rows:
7666
- train: 228
7667
  dataset: pietrolesci/robust_nli
7668
  revisions:
7669
  pietrolesci/robust_nli: 429dde22805398bdd6cfece27284f53a44ed6e67
@@ -7675,7 +7675,7 @@ sources:
7675
  - OANC
7676
  robust_nli/ST_NE:
7677
  rows:
7678
- train: 238
7679
  test: 1
7680
  dataset: pietrolesci/robust_nli
7681
  revisions:
@@ -7688,7 +7688,7 @@ sources:
7688
  - OANC
7689
  robust_nli/ST_SE:
7690
  rows:
7691
- train: 220
7692
  dataset: pietrolesci/robust_nli
7693
  revisions:
7694
  pietrolesci/robust_nli: 429dde22805398bdd6cfece27284f53a44ed6e67
@@ -7700,7 +7700,7 @@ sources:
7700
  - OANC
7701
  robust_nli/ST_WO:
7702
  rows:
7703
- train: 211
7704
  dataset: pietrolesci/robust_nli
7705
  revisions:
7706
  pietrolesci/robust_nli: 429dde22805398bdd6cfece27284f53a44ed6e67
@@ -7712,7 +7712,7 @@ sources:
7712
  - OANC
7713
  robust_nli_is_sd:
7714
  rows:
7715
- train: 950
7716
  validation: 2
7717
  test: 3
7718
  dataset: pietrolesci/robust_nli_is_sd
@@ -7724,7 +7724,7 @@ sources:
7724
  - OANC
7725
  robust_nli_li_ts:
7726
  rows:
7727
- train: 600
7728
  validation: 3
7729
  test: 2
7730
  dataset: pietrolesci/robust_nli_li_ts
@@ -7736,7 +7736,7 @@ sources:
7736
  - OANC
7737
  rotten_tomatoes:
7738
  rows:
7739
- train: 3969
7740
  validation: 22
7741
  test: 22
7742
  dataset: cornell-movie-review-data/rotten_tomatoes
@@ -7746,7 +7746,7 @@ sources:
7746
  license_use: unspecified
7747
  ruletaker:
7748
  rows:
7749
- train: 4381
7750
  validation: 22
7751
  test: 22
7752
  dataset: tasksource/ruletaker
@@ -7761,7 +7761,7 @@ sources:
7761
  - Apache License 2.0
7762
  rumoureval_2019/RumourEval2019:
7763
  rows:
7764
- train: 4844
7765
  validation: 29
7766
  test: 29
7767
  data_files_from:
@@ -7778,7 +7778,7 @@ sources:
7778
  - Custom
7779
  safe-guard-prompt-injection:
7780
  rows:
7781
- train: 3928
7782
  validation: 22
7783
  test: 22
7784
  dataset: xTRam1/safe-guard-prompt-injection
@@ -7788,7 +7788,7 @@ sources:
7788
  license_use: unspecified
7789
  scicite:
7790
  rows:
7791
- train: 4900
7792
  validation: 29
7793
  test: 28
7794
  dataset: tasksource/scicite
@@ -7838,7 +7838,7 @@ sources:
7838
  license_use: unspecified
7839
  scinli:
7840
  rows:
7841
- train: 5364
7842
  validation: 28
7843
  test: 28
7844
  dataset: tasksource/scinli
@@ -7853,7 +7853,7 @@ sources:
7853
  - CC BY-SA 4.0
7854
  sciq:
7855
  rows:
7856
- train: 6695
7857
  validation: 31
7858
  test: 30
7859
  dataset: allenai/sciq
@@ -7866,7 +7866,7 @@ sources:
7866
  - cc-by-nc-3.0
7867
  scitail/snli_format:
7868
  rows:
7869
- train: 4253
7870
  validation: 25
7871
  test: 22
7872
  dataset: allenai/scitail
@@ -7877,7 +7877,7 @@ sources:
7877
  license_use: unspecified
7878
  scone:
7879
  rows:
7880
- train: 3896
7881
  validation: 22
7882
  test: 23
7883
  dataset: tasksource/scone
@@ -7907,7 +7907,7 @@ sources:
7907
  annotators: 8
7908
  seahorse_summarization_evaluation:
7909
  rows:
7910
- train: 19538
7911
  validation: 113
7912
  test: 114
7913
  dataset: tasksource/seahorse_summarization_evaluation
@@ -7920,7 +7920,7 @@ sources:
7920
  - cc
7921
  sem_eval_2010_task_8:
7922
  rows:
7923
- train: 5834
7924
  validation: 34
7925
  test: 34
7926
  dataset: SemEvalWorkshop/sem_eval_2010_task_8
@@ -7932,7 +7932,7 @@ sources:
7932
  - CC0 1.0
7933
  semantic_fragments_nli:
7934
  rows:
7935
- train: 5324
7936
  validation: 31
7937
  test: 28
7938
  dataset: tasksource/semantic_fragments_nli
@@ -7962,7 +7962,7 @@ sources:
7962
  license_use: unspecified
7963
  sharc:
7964
  rows:
7965
- train: 5134
7966
  validation: 29
7967
  test: 28
7968
  dataset: tasksource/sharc
@@ -7974,7 +7974,7 @@ sources:
7974
  license_use: unspecified
7975
  shell-safety-v2:
7976
  rows:
7977
- train: 5323
7978
  validation: 30
7979
  test: 28
7980
  dataset: tomngdev/shell-safety-v2
@@ -7999,7 +7999,7 @@ sources:
7999
  - CC BY 4.0
8000
  sick/label:
8001
  rows:
8002
- train: 4830
8003
  validation: 29
8004
  test: 30
8005
  dataset: tasksource/sick
@@ -8030,7 +8030,7 @@ sources:
8030
  annotators: 10
8031
  silicone/dyda_da:
8032
  rows:
8033
- train: 1435
8034
  validation: 9
8035
  test: 7
8036
  dataset: tasksource/silicone
@@ -8048,7 +8048,7 @@ sources:
8048
  - CC BY-NC-SA 4.0
8049
  silicone/maptask:
8050
  rows:
8051
- train: 1455
8052
  validation: 6
8053
  test: 7
8054
  dataset: tasksource/silicone
@@ -8065,7 +8065,7 @@ sources:
8065
  - CC BY 4.0
8066
  silicone/oasis:
8067
  rows:
8068
- train: 1485
8069
  validation: 8
8070
  test: 8
8071
  dataset: tasksource/silicone
@@ -8082,7 +8082,7 @@ sources:
8082
  - CC BY-NC-SA 4.0
8083
  silicone/sem:
8084
  rows:
8085
- train: 1299
8086
  validation: 5
8087
  test: 6
8088
  dataset: tasksource/silicone
@@ -8099,7 +8099,7 @@ sources:
8099
  - CC BY-NC-SA 4.0
8100
  simple_pair:
8101
  rows:
8102
- train: 2500
8103
  validation: 17
8104
  test: 15
8105
  dataset: tasksource/simple_pair
@@ -8109,7 +8109,7 @@ sources:
8109
  license_use: unspecified
8110
  sms_spam:
8111
  rows:
8112
- train: 3895
8113
  validation: 22
8114
  test: 23
8115
  dataset: ucirvine/sms_spam
@@ -8136,7 +8136,7 @@ sources:
8136
  - CC0 1.0
8137
  snli:
8138
  rows:
8139
- train: 5333
8140
  validation: 29
8141
  test: 28
8142
  dataset: stanfordnlp/snli
@@ -8149,7 +8149,7 @@ sources:
8149
  - cc-by-sa-4.0
8150
  social_i_qa:
8151
  rows:
8152
- train: 14746
8153
  validation: 60
8154
  test: 60
8155
  dataset: tasksource/social_i_qa
@@ -8163,7 +8163,7 @@ sources:
8163
  - CC BY 4.0
8164
  spartqa-mchoice:
8165
  rows:
8166
- train: 17395
8167
  validation: 90
8168
  test: 92
8169
  dataset: tasksource/spartqa-mchoice
@@ -8176,7 +8176,7 @@ sources:
8176
  - mit
8177
  spartqa-yn:
8178
  rows:
8179
- train: 7609
8180
  validation: 45
8181
  test: 42
8182
  dataset: tasksource/spartqa-yn
@@ -8189,7 +8189,7 @@ sources:
8189
  - apache-2.0
8190
  stackoverflow-questions:
8191
  rows:
8192
- train: 5233
8193
  validation: 28
8194
  test: 29
8195
  dataset: pacovaldez/stackoverflow-questions
@@ -8214,7 +8214,7 @@ sources:
8214
  - CC0 1.0
8215
  stepgame:
8216
  rows:
8217
- train: 6261
8218
  validation: 33
8219
  test: 33
8220
  dataset: tasksource/stepgame
@@ -8264,7 +8264,7 @@ sources:
8264
  - mit
8265
  summarize_from_feedback/comparisons:
8266
  rows:
8267
- train: 28536
8268
  validation: 244
8269
  test: 240
8270
  dataset: vwxyzjn/summarize_from_feedback_oai_preprocessing
@@ -8294,7 +8294,7 @@ sources:
8294
  - other
8295
  super_glue/boolq:
8296
  rows:
8297
- train: 1013
8298
  validation: 3
8299
  test: 3
8300
  dataset: aps/super_glue
@@ -8307,7 +8307,7 @@ sources:
8307
  aps/super_glue: *id040
8308
  super_glue/boolq_passage:
8309
  rows:
8310
- train: 1045
8311
  validation: 4
8312
  test: 3
8313
  dataset: aps/super_glue
@@ -8346,7 +8346,7 @@ sources:
8346
  aps/super_glue: *id040
8347
  super_glue/multirc:
8348
  rows:
8349
- train: 1083
8350
  validation: 4
8351
  test: 3
8352
  dataset: aps/super_glue
@@ -8359,7 +8359,7 @@ sources:
8359
  aps/super_glue: *id040
8360
  super_glue/wic:
8361
  rows:
8362
- train: 1044
8363
  validation: 3
8364
  test: 3
8365
  dataset: aps/super_glue
@@ -8372,7 +8372,7 @@ sources:
8372
  aps/super_glue: *id040
8373
  swag/regular:
8374
  rows:
8375
- train: 14746
8376
  validation: 61
8377
  test: 61
8378
  dataset: allenai/swag
@@ -8383,7 +8383,7 @@ sources:
8383
  license_use: unspecified
8384
  syntactic-augmentation-nli:
8385
  rows:
8386
- train: 4970
8387
  validation: 28
8388
  test: 28
8389
  dataset: tasksource/syntactic-augmentation-nli
@@ -8396,7 +8396,7 @@ sources:
8396
  - mit
8397
  synthetic-instruct-gptj-pairwise:
8398
  rows:
8399
- train: 9218
8400
  validation: 26
8401
  test: 25
8402
  dataset: Dahoas/synthetic-instruct-gptj-pairwise
@@ -8406,7 +8406,7 @@ sources:
8406
  license_use: unspecified
8407
  synthetic-retrieval-NLI/binary:
8408
  rows:
8409
- train: 1679
8410
  validation: 8
8411
  test: 14
8412
  dataset: tasksource/synthetic-retrieval-NLI
@@ -8417,7 +8417,7 @@ sources:
8417
  license_use: unspecified
8418
  synthetic-retrieval-NLI/count:
8419
  rows:
8420
- train: 1730
8421
  validation: 11
8422
  test: 7
8423
  dataset: tasksource/synthetic-retrieval-NLI
@@ -8428,7 +8428,7 @@ sources:
8428
  license_use: unspecified
8429
  synthetic-retrieval-NLI/position:
8430
  rows:
8431
- train: 1684
8432
  validation: 10
8433
  test: 8
8434
  dataset: tasksource/synthetic-retrieval-NLI
@@ -8452,7 +8452,7 @@ sources:
8452
  - other
8453
  temporal-nli:
8454
  rows:
8455
- train: 5326
8456
  validation: 29
8457
  test: 28
8458
  dataset: tasksource/temporal-nli
@@ -8465,7 +8465,7 @@ sources:
8465
  - apache-2.0
8466
  tomi-nli:
8467
  rows:
8468
- train: 5784
8469
  validation: 35
8470
  test: 33
8471
  dataset: tasksource/tomi-nli
@@ -8478,7 +8478,7 @@ sources:
8478
  - gpl-3.0
8479
  toxic-chat/toxicchat0124/jailbreaking:
8480
  rows:
8481
- train: 1984
8482
  validation: 11
8483
  test: 11
8484
  dataset: lmsys/toxic-chat
@@ -8495,7 +8495,7 @@ sources:
8495
  - OpenAI
8496
  toxic-chat/toxicchat0124/toxicity:
8497
  rows:
8498
- train: 1976
8499
  validation: 12
8500
  test: 11
8501
  dataset: lmsys/toxic-chat
@@ -8511,7 +8511,7 @@ sources:
8511
  - OpenAI
8512
  toxic_conversations:
8513
  rows:
8514
- train: 4319
8515
  validation: 22
8516
  test: 22
8517
  dataset: SetFit/toxic_conversations
@@ -8521,7 +8521,7 @@ sources:
8521
  license_use: unspecified
8522
  toxigen-data/annotated:
8523
  rows:
8524
- train: 3914
8525
  validation: 22
8526
  test: 22
8527
  dataset: skg/toxigen-data
@@ -8557,7 +8557,7 @@ sources:
8557
  license_use: unspecified
8558
  tweet_eval/emoji:
8559
  rows:
8560
- train: 635
8561
  validation: 4
8562
  test: 2
8563
  dataset: cardiffnlp/tweet_eval
@@ -8568,7 +8568,7 @@ sources:
8568
  license_use: unspecified
8569
  tweet_eval/emotion:
8570
  rows:
8571
- train: 597
8572
  validation: 2
8573
  test: 3
8574
  dataset: cardiffnlp/tweet_eval
@@ -8579,7 +8579,7 @@ sources:
8579
  license_use: unspecified
8580
  tweet_eval/hate:
8581
  rows:
8582
- train: 623
8583
  validation: 2
8584
  test: 3
8585
  dataset: cardiffnlp/tweet_eval
@@ -8590,7 +8590,7 @@ sources:
8590
  license_use: unspecified
8591
  tweet_eval/irony:
8592
  rows:
8593
- train: 616
8594
  validation: 5
8595
  test: 2
8596
  dataset: cardiffnlp/tweet_eval
@@ -8601,7 +8601,7 @@ sources:
8601
  license_use: unspecified
8602
  tweet_eval/offensive:
8603
  rows:
8604
- train: 591
8605
  validation: 3
8606
  test: 2
8607
  dataset: cardiffnlp/tweet_eval
@@ -8612,7 +8612,7 @@ sources:
8612
  license_use: unspecified
8613
  tweet_eval/sentiment:
8614
  rows:
8615
- train: 544
8616
  validation: 2
8617
  test: 2
8618
  dataset: cardiffnlp/tweet_eval
@@ -8623,7 +8623,7 @@ sources:
8623
  license_use: unspecified
8624
  tweet_eval/stance_abortion:
8625
  rows:
8626
- train: 599
8627
  validation: 2
8628
  test: 2
8629
  dataset: cardiffnlp/tweet_eval
@@ -8634,7 +8634,7 @@ sources:
8634
  license_use: unspecified
8635
  tweet_eval/stance_atheism:
8636
  rows:
8637
- train: 531
8638
  validation: 2
8639
  test: 2
8640
  dataset: cardiffnlp/tweet_eval
@@ -8656,7 +8656,7 @@ sources:
8656
  license_use: unspecified
8657
  tweet_eval/stance_feminist:
8658
  rows:
8659
- train: 590
8660
  validation: 2
8661
  test: 6
8662
  dataset: cardiffnlp/tweet_eval
@@ -8667,7 +8667,7 @@ sources:
8667
  license_use: unspecified
8668
  tweet_eval/stance_hillary:
8669
  rows:
8670
- train: 601
8671
  validation: 2
8672
  test: 2
8673
  dataset: cardiffnlp/tweet_eval
@@ -8678,7 +8678,7 @@ sources:
8678
  license_use: unspecified
8679
  tweets_hate_speech_detection:
8680
  rows:
8681
- train: 4363
8682
  validation: 24
8683
  test: 23
8684
  dataset: tweets-hate-speech-detection/tweets_hate_speech_detection
@@ -8691,7 +8691,7 @@ sources:
8691
  - gpl-3.0
8692
  twentyquestions:
8693
  rows:
8694
- train: 6258
8695
  validation: 37
8696
  test: 33
8697
  dataset: tasksource/twentyquestions
@@ -8701,7 +8701,7 @@ sources:
8701
  license_use: unspecified
8702
  twitter-financial-news-sentiment:
8703
  rows:
8704
- train: 4931
8705
  validation: 29
8706
  test: 30
8707
  dataset: zeroshot/twitter-financial-news-sentiment
@@ -8714,7 +8714,7 @@ sources:
8714
  - mit
8715
  utilitarianism:
8716
  rows:
8717
- train: 2156
8718
  validation: 11
8719
  test: 12
8720
  data_files_from:
@@ -8727,7 +8727,7 @@ sources:
8727
  hendrycks/ethics: *id013
8728
  vitaminc:
8729
  rows:
8730
- train: 5372
8731
  validation: 31
8732
  test: 28
8733
  dataset: tals/vitaminc
@@ -8740,7 +8740,7 @@ sources:
8740
  - cc-by-sa-3.0
8741
  webgpt_comparisons:
8742
  rows:
8743
- train: 5723
8744
  validation: 27
8745
  test: 27
8746
  dataset: heegyu/webgpt_comparisons_ko
@@ -8765,7 +8765,7 @@ sources:
8765
  - cc-by-sa-4.0
8766
  wiki_hop/original:
8767
  rows:
8768
- train: 16371
8769
  validation: 72
8770
  test: 76
8771
  dataset: MoE-UNC/wikihop
@@ -8781,7 +8781,7 @@ sources:
8781
  - cc-by-sa-3.0
8782
  wiki_qa:
8783
  rows:
8784
- train: 4181
8785
  validation: 23
8786
  test: 22
8787
  dataset: microsoft/wiki_qa
@@ -8794,7 +8794,7 @@ sources:
8794
  - other
8795
  wikimedqa/medwiki:
8796
  rows:
8797
- train: 16324
8798
  validation: 75
8799
  test: 76
8800
  dataset: sileod/wikimedqa
@@ -8808,7 +8808,7 @@ sources:
8808
  - apache-2.0
8809
  wildguardmix-cleaned/prompt_harm:
8810
  rows:
8811
- train: 1738
8812
  validation: 6
8813
  test: 11
8814
  dataset: bogdanminko/wildguardmix-cleaned
@@ -8823,7 +8823,7 @@ sources:
8823
  - odc-by
8824
  wildguardmix-cleaned/response_harm:
8825
  rows:
8826
- train: 1911
8827
  validation: 7
8828
  test: 4
8829
  dataset: bogdanminko/wildguardmix-cleaned
@@ -8837,7 +8837,7 @@ sources:
8837
  allenai/wildguardmix: *id042
8838
  wildguardmix-cleaned/response_refusal:
8839
  rows:
8840
- train: 1802
8841
  validation: 9
8842
  test: 7
8843
  dataset: bogdanminko/wildguardmix-cleaned
@@ -8864,7 +8864,7 @@ sources:
8864
  - cc-by-4.0
8865
  winogrande/winogrande_xl:
8866
  rows:
8867
- train: 13093
8868
  validation: 48
8869
  test: 49
8870
  dataset: allenai/winogrande
@@ -8888,7 +8888,7 @@ sources:
8888
  - mit
8889
  wiqa:
8890
  rows:
8891
- train: 14651
8892
  validation: 61
8893
  test: 62
8894
  data_files_from:
@@ -8930,7 +8930,7 @@ sources:
8930
  annotators: 1000
8931
  yahoo_answers_topics:
8932
  rows:
8933
- train: 6311
8934
  validation: 36
8935
  test: 33
8936
  dataset: community-datasets/yahoo_answers_topics
@@ -8940,7 +8940,7 @@ sources:
8940
  license_use: unspecified
8941
  yelp_review_full/yelp_review_full:
8942
  rows:
8943
- train: 5194
8944
  validation: 28
8945
  test: 28
8946
  dataset: Yelp/yelp_review_full
 
1
  repo_id: tasksource/tasksource-jev-typed-decisions
2
+ tasksource_commit: 22f3ab016d154a411a09129ff962941f1f85f712
3
  datasets:
4
  - 12ml/e-CARE
5
  - AmazonScience/massive
 
400
  sources:
401
  AES2-essay-scoring:
402
  rows:
403
+ train: 3080
404
  validation: 16
405
  test: 17
406
  dataset: tasksource/AES2-essay-scoring
 
413
  - cc-by-nc-4.0
414
  AdjectiveScaleProbe-nli:
415
  rows:
416
+ train: 5017
417
  validation: 29
418
  test: 29
419
  dataset: tasksource/AdjectiveScaleProbe-nli
 
423
  license_use: unspecified
424
  AmbigNQ-clarifying-question:
425
  rows:
426
+ train: 3965
427
  validation: 23
428
  test: 22
429
  dataset: erbacher/AmbigNQ-clarifying-question
 
433
  license_use: unspecified
434
  BeaverTails:
435
  rows:
436
+ train: 4331
437
  validation: 23
438
  test: 23
439
  dataset: PKU-Alignment/BeaverTails
 
446
  - cc-by-nc-4.0
447
  CONDAQA:
448
  rows:
449
+ train: 4861
450
  validation: 29
451
  test: 28
452
  dataset: lasha-nlp/CONDAQA
 
461
  - Apache License 2.0
462
  CREAK:
463
  rows:
464
+ train: 3991
465
  validation: 24
466
  test: 23
467
  dataset: amydeng2000/CREAK
 
485
  - CC BY-NC-SA 4.0
486
  Dilemmas_Disagreement:
487
  rows:
488
+ train: 2288
489
  validation: 11
490
  test: 11
491
  dataset: RuyuanWan/Dilemmas_Disagreement
 
495
  license_use: unspecified
496
  Dynasent_Disagreement:
497
  rows:
498
+ train: 2415
499
  validation: 11
500
  test: 11
501
  dataset: RuyuanWan/Dynasent_Disagreement
 
505
  license_use: unspecified
506
  FLD.v2/default:
507
  rows:
508
+ train: 2955
509
  validation: 16
510
  test: 13
511
  dataset: hitachi-nlp/FLD.v2
 
516
  license_use: unspecified
517
  FLD.v2/star:
518
  rows:
519
+ train: 2918
520
  validation: 12
521
  test: 15
522
  dataset: hitachi-nlp/FLD.v2
 
527
  license_use: unspecified
528
  FLUTE:
529
  rows:
530
+ train: 3924
531
  validation: 22
532
  test: 23
533
  dataset: ColumbiaNLP/FLUTE
 
540
  - afl-3.0
541
  FOL-nli:
542
  rows:
543
+ train: 14733
544
  validation: 85
545
  test: 84
546
  dataset: unigram/FOL-nli
 
553
  - apache-2.0
554
  HatemojiBuild:
555
  rows:
556
+ train: 3890
557
  validation: 22
558
  test: 23
559
  dataset: HannahRoseKirk/HatemojiBuild
 
566
  - cc-by-4.0
567
  HelpSteer/coherence:
568
  rows:
569
+ train: 948
570
  validation: 3
571
  test: 3
572
  dataset: nvidia/HelpSteer
 
581
  - CC BY 4.0
582
  HelpSteer/complexity:
583
  rows:
584
+ train: 938
585
  validation: 2
586
  test: 3
587
  dataset: nvidia/HelpSteer
 
595
  - CC BY 4.0
596
  HelpSteer/correctness:
597
  rows:
598
+ train: 930
599
  validation: 2
600
  test: 4
601
  dataset: nvidia/HelpSteer
 
609
  - CC BY 4.0
610
  HelpSteer/helpfulness:
611
  rows:
612
+ train: 930
613
  validation: 5
614
  test: 3
615
  dataset: nvidia/HelpSteer
 
623
  - CC BY 4.0
624
  HelpSteer/verbosity:
625
  rows:
626
+ train: 910
627
  validation: 2
628
  test: 2
629
  dataset: nvidia/HelpSteer
 
637
  - CC BY 4.0
638
  HelpSteer2/coherence:
639
  rows:
640
+ train: 1244
641
  validation: 4
642
  test: 6
643
  dataset: nvidia/HelpSteer2
 
650
  - cc-by-4.0
651
  HelpSteer2/complexity:
652
  rows:
653
+ train: 1272
654
  validation: 10
655
  test: 8
656
  dataset: nvidia/HelpSteer2
 
662
  nvidia/HelpSteer2: *id002
663
  HelpSteer2/correctness:
664
  rows:
665
+ train: 1251
666
  validation: 7
667
  test: 4
668
  dataset: nvidia/HelpSteer2
 
674
  nvidia/HelpSteer2: *id002
675
  HelpSteer2/helpfulness:
676
  rows:
677
+ train: 1257
678
  validation: 4
679
  test: 6
680
  dataset: nvidia/HelpSteer2
 
686
  nvidia/HelpSteer2: *id002
687
  HelpSteer2/verbosity:
688
  rows:
689
+ train: 1253
690
  validation: 4
691
  test: 4
692
  dataset: nvidia/HelpSteer2
 
712
  - cc-by-4.0
713
  HelpSteer3/feedback:
714
  rows:
715
+ train: 1936
716
  validation: 9
717
  test: 12
718
  dataset: nvidia/HelpSteer3
 
725
  nvidia/HelpSteer3: *id003
726
  HelpSteer3/preference:
727
  rows:
728
+ train: 9258
729
  validation: 25
730
  test: 23
731
  dataset: nvidia/HelpSteer3
 
738
  nvidia/HelpSteer3: *id003
739
  HelpSteer3/preference_strength:
740
  rows:
741
+ train: 1912
742
  validation: 8
743
  test: 10
744
  dataset: nvidia/HelpSteer3
 
751
  nvidia/HelpSteer3: *id003
752
  HelpSteer3/principle:
753
  rows:
754
+ train: 2304
755
  validation: 11
756
  test: 10
757
  dataset: nvidia/HelpSteer3
 
764
  nvidia/HelpSteer3: *id003
765
  I2D2:
766
  rows:
767
+ train: 4052
768
  validation: 23
769
  test: 23
770
  dataset: tasksource/I2D2
 
777
  - apache-2.0
778
  IntentGrasp/all:
779
  rows:
780
+ train: 15978
781
  validation: 73
782
+ test: 73
783
  dataset: yuweiyin/IntentGrasp
784
  config: all
785
  revisions:
 
791
  - cc-by-nc-sa-4.0
792
  LogicNLI:
793
  rows:
794
+ train: 5039
795
  validation: 28
796
  test: 29
797
  dataset: tasksource/LogicNLI
 
811
  license_use: unspecified
812
  MSciNLI:
813
  rows:
814
+ train: 5331
815
  validation: 28
816
  test: 28
817
  dataset: sadat2307/MSciNLI
 
824
  - cc-by-sa-4.0
825
  MedQA-USMLE-4-options-hf:
826
  rows:
827
+ train: 10505
828
  validation: 62
829
  test: 61
830
  dataset: GBaker/MedQA-USMLE-4-options-hf
 
837
  - cc-by-sa-4.0
838
  PARADISE:
839
  rows:
840
+ train: 14306
841
  validation: 60
842
  test: 61
843
  dataset: GGLab/PARADISE
 
850
  - mit
851
  PARARULE-Plus:
852
  rows:
853
+ train: 4337
854
  validation: 22
855
  test: 22
856
  dataset: qbao775/PARARULE-Plus
 
863
  - mit
864
  PKU-SafeRLHF/helpfulness:
865
  rows:
866
+ train: 8671
867
  validation: 24
868
  test: 24
869
  dataset: PKU-Alignment/PKU-SafeRLHF
 
876
  - cc-by-nc-4.0
877
  PKU-SafeRLHF/safety:
878
  rows:
879
+ train: 8710
880
  validation: 24
881
  test: 24
882
  dataset: PKU-Alignment/PKU-SafeRLHF
 
888
  PKU-Alignment/PKU-SafeRLHF: *id004
889
  Pol_NLI:
890
  rows:
891
+ train: 4340
892
  validation: 25
893
  test: 24
894
  dataset: mlburnham/Pol_NLI
 
908
  license_use: unspecified
909
  Prompt-injection-dataset/full:
910
  rows:
911
+ train: 4029
912
  validation: 22
913
  test: 22
914
  dataset: neuralchemy/Prompt-injection-dataset
 
922
  - apache-2.0
923
  PromptShield:
924
  rows:
925
+ train: 4118
926
  validation: 22
927
  test: 24
928
  dataset: hendzh/PromptShield
 
945
  license_use: unspecified
946
  SBIC_Disagreement:
947
  rows:
948
+ train: 2365
949
  validation: 11
950
  test: 12
951
  dataset: RuyuanWan/SBIC_Disagreement
 
955
  license_use: unspecified
956
  SChem_Disagreement:
957
  rows:
958
+ train: 2000
959
  validation: 11
960
  test: 12
961
  dataset: RuyuanWan/SChem_Disagreement
 
965
  license_use: unspecified
966
  SDOH-NLI:
967
  rows:
968
+ train: 2280
969
  validation: 13
970
  test: 11
971
  dataset: tasksource/SDOH-NLI
 
978
  - cc-by-4.0
979
  SHP:
980
  rows:
981
+ train: 8730
982
  validation: 25
983
  test: 24
984
  dataset: stanfordnlp/SHP
 
990
  - Custom
991
  Sarcasm_News_Headline:
992
  rows:
993
+ train: 4266
994
  validation: 22
995
  test: 23
996
  dataset: raquiba/Sarcasm_News_Headline
 
1010
  license_use: unspecified
1011
  ShellRisk-Bench:
1012
  rows:
1013
+ train: 4050
1014
  validation: 22
1015
  test: 22
1016
  dataset: kontext-security/ShellRisk-Bench
 
1023
  - other
1024
  SpaRTUN:
1025
  rows:
1026
+ train: 12309
1027
  validation: 49
1028
  test: 48
1029
  dataset: tasksource/SpaRTUN
 
1033
  license_use: unspecified
1034
  SpaceNLI:
1035
  rows:
1036
+ train: 5256
1037
  validation: 30
1038
  test: 28
1039
  dataset: tasksource/SpaceNLI
 
1046
  - mit
1047
  Touche23-ValueEval:
1048
  rows:
1049
+ train: 2017
1050
  validation: 13
1051
  test: 13
1052
  source_urls:
 
1080
  - Custom
1081
  TuringBench:
1082
  rows:
1083
+ train: 9069
1084
  validation: 50
1085
  test: 50
1086
  data_files_from:
 
1113
  annotators: 2
1114
  UltraFeedback-paired:
1115
  rows:
1116
+ train: 12114
1117
  validation: 51
1118
  test: 53
1119
  dataset: pushpdeep/UltraFeedback-paired
 
1126
  - mit
1127
  VUAC:
1128
  rows:
1129
+ train: 2186
1130
  validation: 12
1131
  test: 11
1132
  dataset: tasksource/VUAC
 
1136
  license_use: unspecified
1137
  WANLI:
1138
  rows:
1139
+ train: 14707
1140
  validation: 84
1141
  test: 86
1142
  dataset: alisawuffles/WANLI
 
1178
  annotators: 15
1179
  add_one_rte:
1180
  rows:
1181
+ train: 3877
1182
  validation: 22
1183
  test: 22
1184
  dataset: pietrolesci/add_one_rte
 
1190
  - Non Commercial
1191
  ade_corpus_v2/Ade_corpus_v2_classification:
1192
  rows:
1193
+ train: 4119
1194
  validation: 23
1195
  test: 22
1196
  dataset: ade-benchmark-corpus/ade_corpus_v2
 
1201
  license_use: unspecified
1202
  ag_news:
1203
  rows:
1204
+ train: 5285
1205
  validation: 29
1206
  test: 28
1207
  dataset: fancyzhx/ag_news
 
1211
  license_use: unspecified
1212
  agent_action_safety:
1213
  rows:
1214
+ train: 2280
1215
  validation: 12
1216
  test: 13
1217
  data_files_from:
 
1252
  allenai/ai2_arc: *id006
1253
  amazon_counterfactual/en:
1254
  rows:
1255
+ train: 3873
1256
  validation: 22
1257
  test: 25
1258
  dataset: mteb/amazon_counterfactual
 
1266
  - cc-by-4.0
1267
  amazon_polarity/amazon_polarity:
1268
  rows:
1269
+ train: 4281
1270
  validation: 22
1271
  test: 22
1272
  dataset: fancyzhx/amazon_polarity
 
1290
  license_use: unspecified
1291
  anli/a1:
1292
  rows:
1293
+ train: 5193
1294
  validation: 28
1295
  test: 30
1296
  dataset: facebook/anli
 
1303
  - cc-by-nc-4.0
1304
  anli/a2:
1305
  rows:
1306
+ train: 5212
1307
  validation: 29
1308
  test: 25
1309
  dataset: facebook/anli
 
1315
  facebook/anli: *id007
1316
  anli/a3:
1317
  rows:
1318
+ train: 5202
1319
  validation: 30
1320
  test: 29
1321
  dataset: facebook/anli
 
1327
  facebook/anli: *id007
1328
  app_reviews:
1329
  rows:
1330
+ train: 5134
1331
  validation: 28
1332
  test: 28
1333
  dataset: sealuzh/app_reviews
 
1337
  license_use: unspecified
1338
  apt:
1339
  rows:
1340
+ train: 3869
1341
  validation: 22
1342
  test: 22
1343
  dataset: tasksource/apt
 
1360
  - apache-2.0
1361
  args_me:
1362
  rows:
1363
+ train: 4350
1364
  validation: 22
1365
  test: 22
1366
  dataset: webis/args_me
 
1376
  - CC BY 4.0
1377
  argument-feedback:
1378
  rows:
1379
+ train: 2880
1380
  validation: 17
1381
  test: 14
1382
  dataset: tasksource/argument-feedback
 
1386
  license_use: unspecified
1387
  art:
1388
  rows:
1389
+ train: 12177
1390
  validation: 49
1391
  test: 49
1392
  dataset: allenai/art
 
1406
  license_use: unspecified
1407
  autotnli:
1408
  rows:
1409
+ train: 4335
1410
  validation: 23
1411
  test: 27
1412
  dataset: tasksource/autotnli
 
1419
  - apache-2.0
1420
  avicenna:
1421
  rows:
1422
+ train: 3880
1423
  validation: 22
1424
  test: 22
1425
  dataset: tasksource/avicenna
 
1432
  - cc
1433
  babi_nli/basic-coreference:
1434
  rows:
1435
+ train: 332
1436
  validation: 2
1437
  test: 2
1438
  dataset: tasksource/babi_nli
 
1446
  - bsd
1447
  babi_nli/basic-deduction:
1448
  rows:
1449
+ train: 320
1450
  validation: 2
1451
  test: 2
1452
  dataset: tasksource/babi_nli
 
1459
  tasksource/babi_nli: *id008
1460
  babi_nli/basic-induction:
1461
  rows:
1462
+ train: 317
1463
  validation: 2
1464
  test: 2
1465
  dataset: tasksource/babi_nli
 
1472
  tasksource/babi_nli: *id008
1473
  babi_nli/compound-coreference:
1474
  rows:
1475
+ train: 315
1476
  validation: 5
1477
  test: 2
1478
  dataset: tasksource/babi_nli
 
1485
  tasksource/babi_nli: *id008
1486
  babi_nli/conjunction:
1487
  rows:
1488
+ train: 323
1489
  validation: 3
1490
  test: 1
1491
  dataset: tasksource/babi_nli
 
1511
  tasksource/babi_nli: *id008
1512
  babi_nli/indefinite-knowledge:
1513
  rows:
1514
+ train: 325
1515
  validation: 2
1516
  test: 1
1517
  dataset: tasksource/babi_nli
 
1524
  tasksource/babi_nli: *id008
1525
  babi_nli/lists-sets:
1526
  rows:
1527
+ train: 326
1528
  validation: 1
1529
  test: 1
1530
  dataset: tasksource/babi_nli
 
1537
  tasksource/babi_nli: *id008
1538
  babi_nli/path-finding:
1539
  rows:
1540
+ train: 310
1541
  validation: 1
1542
  test: 1
1543
  dataset: tasksource/babi_nli
 
1550
  tasksource/babi_nli: *id008
1551
  babi_nli/positional-reasoning:
1552
  rows:
1553
+ train: 303
1554
  validation: 2
1555
  test: 2
1556
  dataset: tasksource/babi_nli
 
1563
  tasksource/babi_nli: *id008
1564
  babi_nli/simple-negation:
1565
  rows:
1566
+ train: 324
1567
  validation: 2
1568
  test: 1
1569
  dataset: tasksource/babi_nli
 
1576
  tasksource/babi_nli: *id008
1577
  babi_nli/single-supporting-fact:
1578
  rows:
1579
+ train: 294
1580
  validation: 1
1581
  test: 1
1582
  dataset: tasksource/babi_nli
 
1589
  tasksource/babi_nli: *id008
1590
  babi_nli/size-reasoning:
1591
  rows:
1592
+ train: 318
1593
  validation: 1
1594
  test: 3
1595
  dataset: tasksource/babi_nli
 
1602
  tasksource/babi_nli: *id008
1603
  babi_nli/three-arg-relations:
1604
  rows:
1605
+ train: 330
1606
  validation: 1
1607
  test: 1
1608
  dataset: tasksource/babi_nli
 
1615
  tasksource/babi_nli: *id008
1616
  babi_nli/three-supporting-facts:
1617
  rows:
1618
+ train: 333
1619
  validation: 1
1620
  test: 1
1621
  dataset: tasksource/babi_nli
 
1628
  tasksource/babi_nli: *id008
1629
  babi_nli/time-reasoning:
1630
  rows:
1631
+ train: 319
1632
  validation: 2
1633
  test: 1
1634
  dataset: tasksource/babi_nli
 
1641
  tasksource/babi_nli: *id008
1642
  babi_nli/two-arg-relations:
1643
  rows:
1644
+ train: 324
1645
  validation: 1
1646
  test: 4
1647
  dataset: tasksource/babi_nli
 
1654
  tasksource/babi_nli: *id008
1655
  babi_nli/two-supporting-facts:
1656
  rows:
1657
+ train: 298
1658
  validation: 1
1659
  test: 1
1660
  dataset: tasksource/babi_nli
 
1667
  tasksource/babi_nli: *id008
1668
  babi_nli/yes-no-questions:
1669
  rows:
1670
+ train: 328
1671
  validation: 1
1672
  test: 4
1673
  dataset: tasksource/babi_nli
 
1695
  - BSD 2-Clause License
1696
  banking77:
1697
  rows:
1698
+ train: 6770
1699
  validation: 39
1700
  test: 39
1701
  dataset: legacy-datasets/banking77
 
1714
  - CC BY 4.0
1715
  biosift-nli:
1716
  rows:
1717
+ train: 4361
1718
  validation: 22
1719
  test: 22
1720
  dataset: AshtonIsNotHere/biosift-nli
 
1724
  license_use: unspecified
1725
  blog_authorship_corpus/age:
1726
  rows:
1727
+ train: 2068
1728
  validation: 7
1729
  test: 9
1730
  dataset: tasksource/blog_authorship_corpus
 
1739
  - apache-2.0
1740
  blog_authorship_corpus/gender:
1741
  rows:
1742
+ train: 2066
1743
  validation: 13
1744
  test: 12
1745
  dataset: tasksource/blog_authorship_corpus
 
1755
  - Custom
1756
  blog_authorship_corpus/job:
1757
  rows:
1758
+ train: 2138
1759
  validation: 8
1760
  test: 8
1761
  dataset: tasksource/blog_authorship_corpus
 
1771
  - Custom
1772
  boolq-natural-perturbations:
1773
  rows:
1774
+ train: 3982
1775
  validation: 22
1776
  test: 22
1777
  dataset: tasksource/boolq-natural-perturbations
 
1803
  license_use: unspecified
1804
  breaking_nli:
1805
  rows:
1806
+ train: 4865
1807
  validation: 30
1808
  test: 29
1809
  dataset: pietrolesci/breaking_nli
 
1827
  annotators: 100
1828
  chatbot_arena_conversations:
1829
  rows:
1830
+ train: 10158
1831
  validation: 50
1832
  test: 50
1833
  dataset: lmsys/chatbot_arena_conversations
 
1858
  - other
1859
  cicero:
1860
  rows:
1861
+ train: 14262
1862
  validation: 60
1863
  test: 61
1864
  dataset: declare-lab/cicero
 
1871
  - mit
1872
  circa:
1873
  rows:
1874
+ train: 5325
1875
  validation: 29
1876
  test: 29
1877
  dataset: google-research-datasets/circa
 
1993
  annotators: 6
1994
  cladder:
1995
  rows:
1996
+ train: 3942
1997
  validation: 22
1998
  test: 23
1999
  dataset: tasksource/cladder
 
2006
  - mit
2007
  clcd-english:
2008
  rows:
2009
+ train: 3968
2010
  validation: 23
2011
  test: 24
2012
  dataset: tasksource/clcd-english
 
2019
  - apache-2.0
2020
  clinc_oos/plus:
2021
  rows:
2022
+ train: 6861
2023
  validation: 41
2024
  test: 39
2025
  dataset: clinc/clinc_oos
 
2033
  - cc-by-3.0
2034
  cloth:
2035
  rows:
2036
+ train: 14276
2037
  validation: 60
2038
  test: 66
2039
  dataset: AndyChiang/cloth
 
2046
  - mit
2047
  clutrr:
2048
  rows:
2049
+ train: 5907
2050
  validation: 33
2051
  test: 34
2052
  dataset: tasksource/clutrr
 
2058
  license_use: unspecified
2059
  cnli:
2060
  rows:
2061
+ train: 4890
2062
  validation: 28
2063
  test: 28
2064
  dataset: tasksource/cnli
 
2082
  - odc-by
2083
  code_x_glue_cc_defect_detection:
2084
  rows:
2085
+ train: 4183
2086
  validation: 24
2087
  test: 24
2088
  dataset: google/code_x_glue_cc_defect_detection
 
2105
  license_use: unspecified
2106
  commonsense_qa:
2107
  rows:
2108
+ train: 10401
2109
  validation: 63
2110
  test: 64
2111
  dataset: tau/commonsense_qa
 
2118
  - mit
2119
  commonsense_qa_2.0:
2120
  rows:
2121
+ train: 3956
2122
  validation: 22
2123
  test: 23
2124
  dataset: tasksource/commonsense_qa_2.0
 
2131
  - cc-by-4.0
2132
  conceptrules_v2:
2133
  rows:
2134
+ train: 6207
2135
  validation: 34
2136
  test: 33
2137
  dataset: tasksource/conceptrules_v2
 
2146
  - Custom
2147
  conj_nli:
2148
  rows:
2149
+ train: 5011
2150
  validation: 29
2151
  test: 28
2152
  dataset: pietrolesci/conj_nli
 
2176
  - Request Form
2177
  contract-nli/contractnli_a/seg:
2178
  rows:
2179
+ train: 2604
2180
  validation: 15
2181
  test: 14
2182
  dataset: tasksource/contract-nli
 
2192
  - cc-by-nc-sa-4.0
2193
  contract-nli/contractnli_b/full:
2194
  rows:
2195
+ train: 2377
2196
  validation: 14
2197
  test: 16
2198
  dataset: tasksource/contract-nli
 
2207
  kiddothe2b/contract-nli: *id011
2208
  corr2cause:
2209
  rows:
2210
+ train: 7667
2211
  validation: 44
2212
  test: 42
2213
  dataset: tasksource/corr2cause
 
2233
  license_use: unspecified
2234
  cosmos_qa:
2235
  rows:
2236
+ train: 13341
2237
  validation: 61
2238
  test: 63
2239
  dataset: Samsoup/cosmos_qa
 
2258
  license_use: unspecified
2259
  counterfactually-augmented-snli:
2260
  rows:
2261
+ train: 4879
2262
  validation: 28
2263
  test: 28
2264
  dataset: tasksource/counterfactually-augmented-snli
 
2268
  license_use: unspecified
2269
  crowdflower/airline-sentiment:
2270
  rows:
2271
+ train: 728
2272
  validation: 4
2273
  test: 3
2274
  dataset: tasksource/crowdflower
 
2279
  license_use: unspecified
2280
  crowdflower/corporate-messaging:
2281
  rows:
2282
+ train: 802
2283
  validation: 5
2284
  test: 3
2285
  dataset: tasksource/crowdflower
 
2290
  license_use: unspecified
2291
  crowdflower/political-media-audience:
2292
  rows:
2293
+ train: 784
2294
  validation: 3
2295
  test: 6
2296
  dataset: tasksource/crowdflower
 
2301
  license_use: unspecified
2302
  crowdflower/political-media-bias:
2303
  rows:
2304
+ train: 792
2305
  validation: 3
2306
  test: 3
2307
  dataset: tasksource/crowdflower
 
2312
  license_use: unspecified
2313
  crowdflower/political-media-message:
2314
  rows:
2315
+ train: 827
2316
  validation: 3
2317
  test: 3
2318
  dataset: tasksource/crowdflower
 
2334
  license_use: unspecified
2335
  crowdflower/text_emotion:
2336
  rows:
2337
+ train: 819
2338
  validation: 3
2339
  test: 4
2340
  dataset: tasksource/crowdflower
 
2345
  license_use: unspecified
2346
  crowdflower/tweet_global_warming:
2347
  rows:
2348
+ train: 811
2349
  validation: 3
2350
  test: 3
2351
  dataset: tasksource/crowdflower
 
2356
  license_use: unspecified
2357
  cycic_classification:
2358
  rows:
2359
+ train: 3878
2360
  validation: 22
2361
  test: 23
2362
  dataset: tasksource/cycic_classification
 
2395
  - cc
2396
  dataset_train_nli:
2397
  rows:
2398
+ train: 19432
2399
  validation: 117
2400
  test: 114
2401
  dataset: MoritzLaurer/dataset_train_nli
 
2405
  license_use: unspecified
2406
  dbpedia_14/dbpedia_14:
2407
  rows:
2408
+ train: 3378
2409
  validation: 16
2410
  test: 18
2411
  dataset: fancyzhx/dbpedia_14
 
2419
  - cc-by-sa-3.0
2420
  defeasible-nli/atomic:
2421
  rows:
2422
+ train: 1858
2423
  validation: 8
2424
  test: 8
2425
  dataset: tasksource/defeasible-nli
 
2435
  - MIT License
2436
  defeasible-nli/snli:
2437
  rows:
2438
+ train: 1819
2439
  validation: 8
2440
  test: 7
2441
  dataset: tasksource/defeasible-nli
 
2450
  - MIT License
2451
  defeasible-nli/social:
2452
  rows:
2453
+ train: 1815
2454
  validation: 6
2455
  test: 7
2456
  dataset: tasksource/defeasible-nli
 
2498
  license_use: unspecified
2499
  discovery/discovery:
2500
  rows:
2501
+ train: 7085
2502
  validation: 39
2503
  test: 41
2504
  dataset: sileod/discovery
 
2512
  - apache-2.0
2513
  disrpt/eng.dep.scidtb.rels:
2514
  rows:
2515
+ train: 6737
2516
  validation: 40
2517
  test: 41
2518
  dataset: multilingual-discourse-hub/disrpt
 
2526
  - apache-2.0
2527
  dnc:
2528
  rows:
2529
+ train: 4360
2530
  validation: 23
2531
  test: 23
2532
  dataset: pietrolesci/dnc
 
2538
  - Various
2539
  dnd_style_intents:
2540
  rows:
2541
+ train: 6214
2542
  validation: 33
2543
  test: 34
2544
  dataset: neurae/dnd_style_intents
 
2551
  - apache-2.0
2552
  doc-nli:
2553
  rows:
2554
+ train: 24347
2555
  validation: 113
2556
  test: 113
2557
  dataset: tasksource/doc-nli
 
2564
  - bsd
2565
  docred:
2566
  rows:
2567
+ train: 10387
2568
  validation: 60
2569
  test: 60
2570
  data_files_from:
 
2580
  - mit
2581
  dream:
2582
  rows:
2583
+ train: 5462
2584
  validation: 30
2585
  test: 31
2586
  dataset: dataset-org/dream
 
2591
  license_use: unspecified
2592
  dynahate:
2593
  rows:
2594
+ train: 4346
2595
  validation: 23
2596
  test: 22
2597
  dataset: tasksource/dynahate
 
2636
  annotators: 5
2637
  e-CARE:
2638
  rows:
2639
+ train: 9673
2640
  validation: 50
2641
+ test: 49
2642
  dataset: 12ml/e-CARE
2643
  revisions:
2644
  12ml/e-CARE: a9c788710144e6edd31f925345fa107c0634e223
 
2663
  - CC BY-NC-SA 4.0
2664
  emo/emo2019:
2665
  rows:
2666
+ train: 2883
2667
  validation: 14
2668
  test: 14
2669
  dataset: oneonlee/cleansed_emocontext
 
2678
  - mpl-2.0
2679
  emotion:
2680
  rows:
2681
+ train: 5974
2682
  validation: 33
2683
  test: 33
2684
  dataset: dair-ai/emotion
 
2693
  - Custom
2694
  english-grading/cohesion:
2695
  rows:
2696
+ train: 444
2697
  validation: 2
2698
  test: 3
2699
  dataset: tasksource/english-grading
 
2703
  license_use: unspecified
2704
  english-grading/conventions:
2705
  rows:
2706
+ train: 459
2707
  validation: 5
2708
  test: 3
2709
  dataset: tasksource/english-grading
 
2713
  license_use: unspecified
2714
  english-grading/grammar:
2715
  rows:
2716
+ train: 449
2717
  validation: 2
2718
  test: 2
2719
  dataset: tasksource/english-grading
 
2723
  license_use: unspecified
2724
  english-grading/phraseology:
2725
  rows:
2726
+ train: 453
2727
  validation: 2
2728
  test: 2
2729
  dataset: tasksource/english-grading
 
2733
  license_use: unspecified
2734
  english-grading/syntax:
2735
  rows:
2736
+ train: 436
2737
  validation: 2
2738
  test: 2
2739
  dataset: tasksource/english-grading
 
2743
  license_use: unspecified
2744
  english-grading/vocabulary:
2745
  rows:
2746
+ train: 451
2747
  validation: 1
2748
  test: 2
2749
  dataset: tasksource/english-grading
 
2766
  - apache-2.0
2767
  esci:
2768
  rows:
2769
+ train: 2976
2770
  validation: 15
2771
  test: 15
2772
  dataset: tasksource/esci
 
2779
  - apache-2.0
2780
  ethics/commonsense:
2781
  rows:
2782
+ train: 1319
2783
  validation: 6
2784
  test: 6
2785
  config: commonsense
 
2794
  - mit
2795
  ethics/deontology:
2796
  rows:
2797
+ train: 1311
2798
  validation: 6
2799
  test: 6
2800
  config: deontology
 
2808
  hendrycks/ethics: *id013
2809
  ethics/justice:
2810
  rows:
2811
+ train: 1313
2812
  validation: 5
2813
  test: 5
2814
  config: justice
 
2822
  hendrycks/ethics: *id013
2823
  ethics/virtue:
2824
  rows:
2825
+ train: 1325
2826
  validation: 6
2827
  test: 5
2828
  dataset: hendrycks/ethics
 
2846
  license_use: unspecified
2847
  ethos/multilabel:
2848
  rows:
2849
+ train: 2713
2850
  validation: 12
2851
  test: 11
2852
  dataset: tasksource/ethos
 
2875
  - mit
2876
  fever-evidence-related:
2877
  rows:
2878
+ train: 2536
2879
  validation: 13
2880
  test: 14
2881
  dataset: mwong/fever-evidence-related
 
2891
  - CC BY-SA 4.0
2892
  few_rel/default:
2893
  rows:
2894
+ train: 4367
2895
  validation: 22
2896
  test: 23
2897
  dataset: tasksource/few_rel
 
2902
  license_use: unspecified
2903
  fig-qa:
2904
  rows:
2905
+ train: 8685
2906
  validation: 50
2907
  test: 49
2908
  dataset: nightingal3/fig-qa
 
2945
  - CC BY-SA 4.0
2946
  fool-me-twice:
2947
  rows:
2948
+ train: 3981
2949
  validation: 22
2950
  test: 22
2951
  dataset: tasksource/fool-me-twice
 
2968
  license_use: unspecified
2969
  gen_debiased_nli/mnli_par_z:
2970
  rows:
2971
+ train: 661
2972
  validation: 2
2973
  dataset: pietrolesci/gen_debiased_nli
2974
  revisions:
 
2980
  - OANC
2981
  gen_debiased_nli/mnli_seq_z:
2982
  rows:
2983
+ train: 644
2984
  validation: 1
2985
  test: 1
2986
  dataset: pietrolesci/gen_debiased_nli
 
2993
  - OANC
2994
  gen_debiased_nli/mnli_z_aug:
2995
  rows:
2996
+ train: 640
2997
  test: 1
2998
  dataset: pietrolesci/gen_debiased_nli
2999
  revisions:
 
3005
  - OANC
3006
  gen_debiased_nli/snli_par_z:
3007
  rows:
3008
+ train: 628
3009
  dataset: pietrolesci/gen_debiased_nli
3010
  revisions:
3011
  pietrolesci/gen_debiased_nli: 8526f3a347c2d5760dc79a3dbe88134cc89c36b9
 
3016
  - OANC
3017
  gen_debiased_nli/snli_seq_z:
3018
  rows:
3019
+ train: 608
3020
  dataset: pietrolesci/gen_debiased_nli
3021
  revisions:
3022
  pietrolesci/gen_debiased_nli: 8526f3a347c2d5760dc79a3dbe88134cc89c36b9
 
3027
  - OANC
3028
  gen_debiased_nli/snli_z_aug:
3029
  rows:
3030
+ train: 616
3031
  dataset: pietrolesci/gen_debiased_nli
3032
  revisions:
3033
  pietrolesci/gen_debiased_nli: 8526f3a347c2d5760dc79a3dbe88134cc89c36b9
 
3038
  - OANC
3039
  github-issue-similarity:
3040
  rows:
3041
+ train: 4123
3042
  validation: 23
3043
  test: 22
3044
  dataset: WhereIsAI/github-issue-similarity
 
3051
  - mit
3052
  glue/cola:
3053
  rows:
3054
+ train: 774
3055
  validation: 4
3056
  test: 4
3057
  dataset: nyu-mll/glue
 
3065
  - other
3066
  glue/mnli:
3067
  rows:
3068
+ train: 778
3069
  validation: 4
3070
  test: 3
3071
  dataset: nyu-mll/glue
 
3078
  nyu-mll/glue: *id014
3079
  glue/mrpc:
3080
  rows:
3081
+ train: 802
3082
  validation: 4
3083
  test: 3
3084
  dataset: nyu-mll/glue
 
3091
  nyu-mll/glue: *id014
3092
  glue/qnli:
3093
  rows:
3094
+ train: 786
3095
  validation: 3
3096
  test: 3
3097
  dataset: nyu-mll/glue
 
3104
  nyu-mll/glue: *id014
3105
  glue/qqp:
3106
  rows:
3107
+ train: 823
3108
  validation: 2
3109
  test: 2
3110
  dataset: nyu-mll/glue
 
3117
  nyu-mll/glue: *id014
3118
  glue/rte:
3119
  rows:
3120
+ train: 767
3121
  validation: 2
3122
  test: 2
3123
  dataset: nyu-mll/glue
 
3130
  nyu-mll/glue: *id014
3131
  glue/sst2:
3132
  rows:
3133
+ train: 753
3134
  validation: 2
3135
  test: 3
3136
  dataset: nyu-mll/glue
 
3156
  aggregation: mean
3157
  glue/wnli:
3158
  rows:
3159
+ train: 743
3160
  validation: 2
3161
  test: 2
3162
  dataset: nyu-mll/glue
 
3169
  nyu-mll/glue: *id014
3170
  go_emotions/simplified:
3171
  rows:
3172
+ train: 3889
3173
  validation: 20
3174
  test: 20
3175
  dataset: google-research-datasets/go_emotions
 
3183
  - apache-2.0
3184
  goal-step-wikihow/goal:
3185
  rows:
3186
+ train: 8519
3187
  validation: 21
3188
  test: 18
3189
  dataset: tasksource/goal-step-wikihow
 
3197
  - mit
3198
  goal-step-wikihow/order:
3199
  rows:
3200
+ train: 8568
3201
  validation: 21
3202
  test: 20
3203
  dataset: tasksource/goal-step-wikihow
 
3210
  tasksource/goal-step-wikihow: *id015
3211
  goal-step-wikihow/step:
3212
  rows:
3213
+ train: 8506
3214
  validation: 18
3215
  test: 22
3216
  dataset: tasksource/goal-step-wikihow
 
3240
  annotators: 5
3241
  hans:
3242
  rows:
3243
+ train: 4336
3244
  validation: 23
3245
  test: 22
3246
  dataset: tasksource/hans
 
3252
  license_use: unspecified
3253
  hate_speech18:
3254
  rows:
3255
+ train: 3980
3256
  validation: 22
3257
  test: 24
3258
  dataset: tasksource/hate_speech18
 
3269
  - CC BY-SA 3.0
3270
  hate_speech_offensive:
3271
  rows:
3272
+ train: 5146
3273
  validation: 28
3274
  test: 28
3275
  dataset: tdavidson/hate_speech_offensive
 
3297
  - mit
3298
  headline_cause/en_simple:
3299
  rows:
3300
+ train: 4830
3301
  validation: 28
3302
  test: 28
3303
  data_files_from:
 
3311
  - cc0-1.0
3312
  health_fact:
3313
  rows:
3314
+ train: 5262
3315
  validation: 30
3316
  test: 28
3317
  dataset: marcov/health_fact_promptsource
 
3326
  - mit
3327
  hellaswag:
3328
  rows:
3329
+ train: 14239
3330
  validation: 61
3331
  test: 61
3332
  dataset: Rowan/hellaswag
 
3336
  license_use: unspecified
3337
  help-nli:
3338
  rows:
3339
+ train: 6230
3340
  validation: 33
3341
  test: 35
3342
  dataset: tasksource/help-nli
 
3351
  - CC BY-SA 4.0
3352
  hh-rlhf/harmless-base:
3353
  rows:
3354
+ train: 6533
3355
  validation: 12
3356
  test: 14
3357
  dataset: tasksource/hh-rlhf
 
3364
  - MIT License
3365
  hh-rlhf/helpful-base:
3366
  rows:
3367
+ train: 6480
3368
  validation: 12
3369
  test: 13
3370
  dataset: tasksource/hh-rlhf
 
3377
  - MIT License
3378
  hh-rlhf/helpful-online:
3379
  rows:
3380
+ train: 6482
3381
  validation: 11
3382
  test: 12
3383
  dataset: tasksource/hh-rlhf
 
3390
  - MIT License
3391
  hh-rlhf/helpful-rejection-sampled:
3392
  rows:
3393
+ train: 6531
3394
  validation: 14
3395
  test: 10
3396
  dataset: tasksource/hh-rlhf
 
3403
  - MIT License
3404
  hlgd:
3405
  rows:
3406
+ train: 4076
3407
  validation: 23
3408
  test: 22
3409
  dataset: tasksource/hlgd
 
3420
  - Apache License 2.0
3421
  hope_edi/english:
3422
  rows:
3423
+ train: 5155
3424
  validation: 28
3425
  test: 28
3426
  source_urls:
 
3435
  - cc-by-4.0
3436
  hover:
3437
  rows:
3438
+ train: 4035
3439
  validation: 22
3440
  test: 23
3441
  dataset: Dzeniks/hover
 
3448
  - mit
3449
  humicroedit/subtask-1:
3450
  rows:
3451
+ train: 1265
3452
  validation: 5
3453
  test: 10
3454
  dataset: tasksource/humicroedit
 
3461
  license_use: unspecified
3462
  humicroedit/subtask-2:
3463
  rows:
3464
+ train: 1407
3465
  validation: 10
3466
  test: 4
3467
  dataset: tasksource/humicroedit
 
3486
  - CC BY 4.0
3487
  idioms-nli:
3488
  rows:
3489
+ train: 4138
3490
  validation: 23
3491
  test: 26
3492
  dataset: tasksource/idioms-nli
 
3496
  license_use: unspecified
3497
  imdb:
3498
  rows:
3499
+ train: 4184
3500
  validation: 23
3501
  test: 22
3502
  dataset: stanfordnlp/imdb
 
3522
  - gpl
3523
  implicit-hate-stg1:
3524
  rows:
3525
+ train: 5069
3526
  validation: 28
3527
  test: 32
3528
  dataset: tasksource/implicit-hate-stg1
 
3534
  - Request Form
3535
  insincere-questions:
3536
  rows:
3537
+ train: 4350
3538
  validation: 25
3539
  test: 22
3540
  dataset: SetFit/insincere-questions
 
3557
  - cc-by-4.0
3558
  jigsaw_toxicity:
3559
  rows:
3560
+ train: 4276
3561
  validation: 22
3562
  test: 22
3563
  dataset: tasksource/jigsaw_toxicity
 
3570
  - apache-2.0
3571
  joci:
3572
  rows:
3573
+ train: 5178
3574
  validation: 30
3575
  test: 28
3576
  dataset: pietrolesci/joci
 
3580
  license_use: unspecified
3581
  language-identification:
3582
  rows:
3583
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3584
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3585
  test: 16
3586
  dataset: papluca/language-identification
 
3640
  annotators: 5
3641
  lex_glue/case_hold:
3642
  rows:
3643
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3644
  validation: 63
3645
  test: 64
3646
  dataset: coastalcph/lex_glue
 
3654
  - cc-by-4.0
3655
  lex_glue/ledgar:
3656
  rows:
3657
+ train: 2370
3658
  validation: 12
3659
  test: 12
3660
  dataset: coastalcph/lex_glue
 
3667
  coastalcph/lex_glue: *id017
3668
  lex_glue/scotus:
3669
  rows:
3670
+ train: 2461
3671
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3672
  test: 11
3673
  dataset: coastalcph/lex_glue
 
3682
  - Custom
3683
  lex_glue/unfair_tos:
3684
  rows:
3685
+ train: 2442
3686
  validation: 11
3687
  test: 11
3688
  dataset: coastalcph/lex_glue
 
3695
  coastalcph/lex_glue: *id017
3696
  lexical_relation_classification/BLESS:
3697
  rows:
3698
+ train: 1176
3699
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3700
  test: 6
3701
  config: BLESS
 
3712
  - CC BY-NC 4.0
3713
  lexical_relation_classification/CogALexV:
3714
  rows:
3715
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3716
  validation: 5
3717
  test: 7
3718
  data_files_from:
 
3727
  - CC BY-NC 4.0
3728
  lexical_relation_classification/EVALution:
3729
  rows:
3730
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3731
  validation: 6
3732
  test: 6
3733
  config: EVALution
 
3743
  - CC BY-NC 4.0
3744
  lexical_relation_classification/K&H+N:
3745
  rows:
3746
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3747
  validation: 8
3748
  test: 5
3749
  config: K&H+N
 
3759
  - CC BY-NC 4.0
3760
  lexical_relation_classification/ROOT09:
3761
  rows:
3762
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3763
  validation: 4
3764
  test: 5
3765
  config: ROOT09
 
3775
  - CC BY-NC 4.0
3776
  liar:
3777
  rows:
3778
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3779
  validation: 17
3780
  test: 16
3781
  dataset: tasksource/liar
 
3787
  license_use: unspecified
3788
  lifecycle-entailment:
3789
  rows:
3790
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3791
  validation: 22
3792
  test: 22
3793
  dataset: tasksource/lifecycle-entailment
 
3797
  license_use: unspecified
3798
  lingnli:
3799
  rows:
3800
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3801
  validation: 29
3802
  test: 29
3803
  dataset: tasksource/lingnli
 
3807
  license_use: unspecified
3808
  linguisticprobing/bigram_shift:
3809
  rows:
3810
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3811
  validation: 1
3812
  test: 1
3813
  dataset: tasksource/linguisticprobing
 
3818
  license_use: unspecified
3819
  linguisticprobing/coordination_inversion:
3820
  rows:
3821
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3822
  validation: 1
3823
  test: 1
3824
  dataset: tasksource/linguisticprobing
 
3829
  license_use: unspecified
3830
  linguisticprobing/obj_number:
3831
  rows:
3832
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3833
  validation: 1
3834
  dataset: tasksource/linguisticprobing
3835
  config: obj_number
 
3839
  license_use: unspecified
3840
  linguisticprobing/odd_man_out:
3841
  rows:
3842
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3843
  dataset: tasksource/linguisticprobing
3844
  config: odd_man_out
3845
  revisions:
 
3848
  license_use: unspecified
3849
  linguisticprobing/past_present:
3850
  rows:
3851
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3852
  dataset: tasksource/linguisticprobing
3853
  config: past_present
3854
  revisions:
 
3857
  license_use: unspecified
3858
  linguisticprobing/subj_number:
3859
  rows:
3860
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3861
  dataset: tasksource/linguisticprobing
3862
  config: subj_number
3863
  revisions:
 
3866
  license_use: unspecified
3867
  linguisticprobing/top_constituents:
3868
  rows:
3869
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3870
  dataset: tasksource/linguisticprobing
3871
  config: top_constituents
3872
  revisions:
 
3875
  license_use: unspecified
3876
  logical-entailment:
3877
  rows:
3878
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3879
  validation: 22
3880
  test: 22
3881
  dataset: tasksource/logical-entailment
 
3910
  license_use: unspecified
3911
  logiqa-2.0-nli:
3912
  rows:
3913
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3914
  validation: 33
3915
  test: 33
3916
  dataset: tasksource/logiqa-2.0-nli
 
3925
  - CC BY-NC-SA 4.0
3926
  lonli:
3927
  rows:
3928
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3929
  validation: 31
3930
  test: 28
3931
  dataset: tasksource/lonli
 
3969
  license_use: unspecified
3970
  math_qa:
3971
  rows:
3972
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3973
  validation: 60
3974
  test: 60
3975
  dataset: tasksource/math_qa
 
3984
  - apache-2.0
3985
  mc_taco:
3986
  rows:
3987
+ train: 4329
3988
  validation: 23
3989
  test: 22
3990
  dataset: marcov/mc_taco_promptsource
 
4016
  license_use: unspecified
4017
  medmcqa:
4018
  rows:
4019
+ train: 14276
4020
  validation: 62
4021
  test: 62
4022
  dataset: openlifescienceai/medmcqa
 
4029
  - apache-2.0
4030
  mindgames:
4031
  rows:
4032
+ train: 4005
4033
  validation: 23
4034
  test: 22
4035
  dataset: sileod/mindgames
 
4044
  - Apache License 2.0
4045
  missing-item-prediction/contrastive:
4046
  rows:
4047
+ train: 1991
4048
  validation: 11
4049
  test: 11
4050
  dataset: sileod/missing-item-prediction
 
4065
  license_use: unspecified
4066
  monotonicity-entailment:
4067
  rows:
4068
+ train: 3878
4069
  validation: 23
4070
  test: 23
4071
  dataset: tasksource/monotonicity-entailment
 
4078
  - apache-2.0
4079
  moral_stories/full:
4080
  rows:
4081
+ train: 8909
4082
  validation: 48
4083
  test: 49
4084
  dataset: LabHC/moral_stories
 
4095
  - MIT License
4096
  mpe:
4097
  rows:
4098
+ train: 4895
4099
  validation: 28
4100
  test: 30
4101
  dataset: pietrolesci/mpe
 
4105
  license_use: unspecified
4106
  multilingual/AfriSenti-twitter-sentiment/amh:
4107
  rows:
4108
+ train: 464
4109
  validation: 3
4110
  test: 3
4111
  dataset: mteb/AfriSentiClassification
 
4121
  - cc-by-4.0
4122
  multilingual/AfriSenti-twitter-sentiment/arq:
4123
  rows:
4124
+ train: 470
4125
  validation: 3
4126
  test: 3
4127
  dataset: mteb/AfriSentiClassification
 
4136
  mteb/AfriSentiClassification: *id019
4137
  multilingual/AfriSenti-twitter-sentiment/ary:
4138
  rows:
4139
+ train: 476
4140
  validation: 3
4141
  test: 4
4142
  dataset: mteb/AfriSentiClassification
 
4151
  mteb/AfriSentiClassification: *id019
4152
  multilingual/AfriSenti-twitter-sentiment/hau:
4153
  rows:
4154
+ train: 485
4155
  validation: 3
4156
  test: 2
4157
  dataset: mteb/AfriSentiClassification
 
4166
  mteb/AfriSentiClassification: *id019
4167
  multilingual/AfriSenti-twitter-sentiment/ibo:
4168
  rows:
4169
+ train: 463
4170
  validation: 2
4171
  test: 2
4172
  dataset: mteb/AfriSentiClassification
 
4181
  mteb/AfriSentiClassification: *id019
4182
  multilingual/AfriSenti-twitter-sentiment/kin:
4183
  rows:
4184
+ train: 464
4185
  validation: 4
4186
  test: 3
4187
  dataset: mteb/AfriSentiClassification
 
4196
  mteb/AfriSentiClassification: *id019
4197
  multilingual/AfriSenti-twitter-sentiment/pcm:
4198
  rows:
4199
+ train: 465
4200
  validation: 2
4201
  test: 3
4202
  dataset: mteb/AfriSentiClassification
 
4211
  mteb/AfriSentiClassification: *id019
4212
  multilingual/AfriSenti-twitter-sentiment/por:
4213
  rows:
4214
+ train: 455
4215
  validation: 2
4216
  test: 2
4217
  dataset: mteb/AfriSentiClassification
 
4226
  mteb/AfriSentiClassification: *id019
4227
  multilingual/AfriSenti-twitter-sentiment/swa:
4228
  rows:
4229
+ train: 462
4230
  validation: 2
4231
  test: 2
4232
  dataset: mteb/AfriSentiClassification
 
4241
  mteb/AfriSentiClassification: *id019
4242
  multilingual/AfriSenti-twitter-sentiment/tso:
4243
  rows:
4244
+ train: 470
4245
  validation: 2
4246
  test: 2
4247
  dataset: mteb/AfriSentiClassification
 
4256
  mteb/AfriSentiClassification: *id019
4257
  multilingual/AfriSenti-twitter-sentiment/twi:
4258
  rows:
4259
+ train: 464
4260
  validation: 2
4261
  test: 2
4262
  dataset: mteb/AfriSentiClassification
 
4271
  mteb/AfriSentiClassification: *id019
4272
  multilingual/AfriSenti-twitter-sentiment/yor:
4273
  rows:
4274
+ train: 463
4275
  validation: 3
4276
  test: 2
4277
  dataset: mteb/AfriSentiClassification
 
4286
  mteb/AfriSentiClassification: *id019
4287
  multilingual/MLMA_hate_speech:
4288
  rows:
4289
+ train: 3084
4290
  validation: 17
4291
  test: 16
4292
  dataset: nedjmaou/MLMA_hate_speech
 
4299
  - mit
4300
  multilingual/NusaX-senti/ace:
4301
  rows:
4302
+ train: 398
4303
  validation: 3
4304
  test: 3
4305
  dataset: mteb/NusaX-senti
 
4429
  indonlp/NusaX-senti: *id021
4430
  multilingual/NusaX-senti/mad:
4431
  rows:
4432
+ train: 401
4433
  validation: 2
4434
  test: 2
4435
  dataset: mteb/NusaX-senti
 
4461
  indonlp/NusaX-senti: *id021
4462
  multilingual/NusaX-senti/nij:
4463
  rows:
4464
+ train: 409
4465
  validation: 3
4466
  test: 3
4467
  dataset: mteb/NusaX-senti
 
4477
  indonlp/NusaX-senti: *id021
4478
  multilingual/NusaX-senti/sun:
4479
  rows:
4480
+ train: 400
4481
  validation: 2
4482
  test: 2
4483
  dataset: mteb/NusaX-senti
 
4493
  indonlp/NusaX-senti: *id021
4494
  multilingual/amazon_reviews_multi/all_languages:
4495
  rows:
4496
+ train: 5141
4497
  validation: 29
4498
  test: 29
4499
  dataset: goosmanlei/amazon_reviews_multi
 
4525
  - cc-by-sa-4.0
4526
  multilingual/clue/afqmc:
4527
  rows:
4528
+ train: 2061
4529
  validation: 12
4530
  test: 12
4531
  dataset: clue/clue
 
4536
  license_use: unspecified
4537
  multilingual/clue/ocnli:
4538
  rows:
4539
+ train: 2164
4540
  validation: 9
4541
  test: 8
4542
  dataset: clue/clue
 
4547
  license_use: unspecified
4548
  multilingual/clue/tnews:
4549
  rows:
4550
+ train: 2025
4551
  validation: 7
4552
  test: 8
4553
  dataset: clue/clue
 
4558
  license_use: unspecified
4559
  multilingual/disrpt/deu.rst.pcc.rels:
4560
  rows:
4561
+ train: 773
4562
  validation: 4
4563
  test: 5
4564
  dataset: multilingual-discourse-hub/disrpt
 
4571
  multilingual-discourse-hub/disrpt: *id022
4572
  multilingual/disrpt/eus.rst.ert.rels:
4573
  rows:
4574
+ train: 776
4575
  validation: 3
4576
  test: 6
4577
  dataset: multilingual-discourse-hub/disrpt
 
4584
  multilingual-discourse-hub/disrpt: *id022
4585
  multilingual/disrpt/fas.rst.prstc.rels:
4586
  rows:
4587
+ train: 778
4588
  validation: 4
4589
  test: 3
4590
  dataset: multilingual-discourse-hub/disrpt
 
4597
  multilingual-discourse-hub/disrpt: *id022
4598
  multilingual/disrpt/fra.sdrt.annodis.rels:
4599
  rows:
4600
+ train: 783
4601
  validation: 4
4602
  test: 3
4603
  dataset: multilingual-discourse-hub/disrpt
 
4610
  multilingual-discourse-hub/disrpt: *id022
4611
  multilingual/disrpt/nld.rst.nldt.rels:
4612
  rows:
4613
+ train: 766
4614
  validation: 4
4615
  test: 3
4616
  dataset: multilingual-discourse-hub/disrpt
 
4623
  multilingual-discourse-hub/disrpt: *id022
4624
  multilingual/disrpt/por.rst.cstn.rels:
4625
  rows:
4626
+ train: 778
4627
  validation: 3
4628
  test: 3
4629
  dataset: multilingual-discourse-hub/disrpt
 
4636
  multilingual-discourse-hub/disrpt: *id022
4637
  multilingual/disrpt/rus.rst.rrt.rels:
4638
  rows:
4639
+ train: 750
4640
  validation: 3
4641
  test: 5
4642
  dataset: multilingual-discourse-hub/disrpt
 
4649
  multilingual-discourse-hub/disrpt: *id022
4650
  multilingual/disrpt/spa.rst.rststb.rels:
4651
  rows:
4652
+ train: 778
4653
  validation: 4
4654
  test: 6
4655
  dataset: multilingual-discourse-hub/disrpt
 
4662
  multilingual-discourse-hub/disrpt: *id022
4663
  multilingual/disrpt/tha.pdtb.tdtb.rels:
4664
  rows:
4665
+ train: 781
4666
  validation: 6
4667
  test: 3
4668
  dataset: multilingual-discourse-hub/disrpt
 
4675
  multilingual-discourse-hub/disrpt: *id022
4676
  multilingual/disrpt/zho.rst.gcdt.rels:
4677
  rows:
4678
+ train: 737
4679
  validation: 4
4680
  test: 3
4681
  dataset: multilingual-discourse-hub/disrpt
 
4702
  - cc-by-sa-4.0
4703
  multilingual/indic_glue/actsa-sc.te/sentiment:
4704
  rows:
4705
+ train: 839
4706
  validation: 5
4707
  test: 4
4708
  dataset: ai4bharat/indic_glue
 
4716
  - other
4717
  multilingual/indic_glue/bbca.hi/news:
4718
  rows:
4719
+ train: 830
4720
  validation: 5
4721
  test: 5
4722
  dataset: ai4bharat/indic_glue
 
4729
  ai4bharat/indic_glue: *id023
4730
  multilingual/indic_glue/iitp-mr.hi/sentiment:
4731
  rows:
4732
+ train: 798
4733
  validation: 5
4734
  test: 7
4735
  dataset: ai4bharat/indic_glue
 
4742
  ai4bharat/indic_glue: *id023
4743
  multilingual/indic_glue/iitp-pr.hi/sentiment:
4744
  rows:
4745
+ train: 793
4746
  validation: 4
4747
  test: 3
4748
  dataset: ai4bharat/indic_glue
 
4755
  ai4bharat/indic_glue: *id023
4756
  multilingual/indic_glue/inltkh:
4757
  rows:
4758
+ train: 889
4759
  validation: 4
4760
  test: 3
4761
  data_files_from:
 
4768
  ai4bharat/indic_glue: *id023
4769
  multilingual/indic_glue/inltkh.te/sentiment:
4770
  rows:
4771
+ train: 767
4772
  validation: 4
4773
  test: 4
4774
  dataset: ai4bharat/indic_glue
 
4781
  ai4bharat/indic_glue: *id023
4782
  multilingual/indic_glue/md.hi/discourse_mode:
4783
  rows:
4784
+ train: 880
4785
  validation: 4
4786
  test: 4
4787
  dataset: ai4bharat/indic_glue
 
4794
  ai4bharat/indic_glue: *id023
4795
  multilingual/indic_glue/sna.bn/news:
4796
  rows:
4797
+ train: 901
4798
  validation: 5
4799
  test: 3
4800
  dataset: ai4bharat/indic_glue
 
4807
  ai4bharat/indic_glue: *id023
4808
  multilingual/indic_glue/wstp:
4809
  rows:
4810
+ train: 13802
4811
  validation: 64
4812
  test: 60
4813
  data_files_from:
 
4820
  ai4bharat/indic_glue: *id023
4821
  multilingual/klue/nli:
4822
  rows:
4823
+ train: 1959
4824
  validation: 12
4825
  test: 14
4826
  dataset: klue/klue
 
4834
  - cc-by-sa-4.0
4835
  multilingual/klue/sts:
4836
  rows:
4837
+ train: 2025
4838
  validation: 11
4839
  test: 10
4840
  dataset: klue/klue
 
4847
  klue/klue: *id024
4848
  multilingual/klue/ynat:
4849
  rows:
4850
+ train: 1950
4851
  validation: 10
4852
  test: 9
4853
  dataset: klue/klue
 
4860
  klue/klue: *id024
4861
  multilingual/language-identification:
4862
  rows:
4863
+ train: 3329
4864
  validation: 17
4865
  test: 16
4866
  dataset: papluca/language-identification
 
4874
  - Custom
4875
  multilingual/masakhanews/amh:
4876
  rows:
4877
+ train: 325
4878
  validation: 4
4879
  test: 2
4880
  dataset: masakhane/masakhanews
 
4888
  - afl-3.0
4889
  multilingual/masakhanews/eng:
4890
  rows:
4891
+ train: 328
4892
  validation: 3
4893
  test: 5
4894
  dataset: masakhane/masakhanews
 
4914
  masakhane/masakhanews: *id025
4915
  multilingual/masakhanews/hau:
4916
  rows:
4917
+ train: 333
4918
  validation: 2
4919
  test: 2
4920
  dataset: masakhane/masakhanews
 
4940
  masakhane/masakhanews: *id025
4941
  multilingual/masakhanews/lin:
4942
  rows:
4943
+ train: 325
4944
  validation: 1
4945
  test: 2
4946
  dataset: masakhane/masakhanews
 
4953
  masakhane/masakhanews: *id025
4954
  multilingual/masakhanews/lug:
4955
  rows:
4956
+ train: 320
4957
  validation: 1
4958
  test: 2
4959
  dataset: masakhane/masakhanews
 
4966
  masakhane/masakhanews: *id025
4967
  multilingual/masakhanews/orm:
4968
  rows:
4969
+ train: 325
4970
  validation: 4
4971
  test: 2
4972
  dataset: masakhane/masakhanews
 
4979
  masakhane/masakhanews: *id025
4980
  multilingual/masakhanews/pcm:
4981
  rows:
4982
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4983
  validation: 1
4984
  test: 1
4985
  dataset: masakhane/masakhanews
 
4992
  masakhane/masakhanews: *id025
4993
  multilingual/masakhanews/run:
4994
  rows:
4995
+ train: 306
4996
  validation: 1
4997
  test: 1
4998
  dataset: masakhane/masakhanews
 
5005
  masakhane/masakhanews: *id025
5006
  multilingual/masakhanews/sna:
5007
  rows:
5008
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5009
  validation: 1
5010
  test: 1
5011
  dataset: masakhane/masakhanews
 
5018
  masakhane/masakhanews: *id025
5019
  multilingual/masakhanews/som:
5020
  rows:
5021
+ train: 320
5022
  validation: 1
5023
  test: 2
5024
  dataset: masakhane/masakhanews
 
5031
  masakhane/masakhanews: *id025
5032
  multilingual/masakhanews/swa:
5033
  rows:
5034
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5035
  validation: 1
5036
  test: 1
5037
  dataset: masakhane/masakhanews
 
5044
  masakhane/masakhanews: *id025
5045
  multilingual/masakhanews/tir:
5046
  rows:
5047
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5048
  validation: 1
5049
  test: 1
5050
  dataset: masakhane/masakhanews
 
5057
  masakhane/masakhanews: *id025
5058
  multilingual/masakhanews/xho:
5059
  rows:
5060
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5061
  validation: 4
5062
  test: 1
5063
  dataset: masakhane/masakhanews
 
5070
  masakhane/masakhanews: *id025
5071
  multilingual/masakhanews/yor:
5072
  rows:
5073
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5074
  validation: 1
5075
  test: 1
5076
  dataset: masakhane/masakhanews
 
5083
  masakhane/masakhanews: *id025
5084
  multilingual/massive:
5085
  rows:
5086
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5087
  validation: 39
5088
  test: 39
5089
  dataset: mteb/MassiveIntentClassification
 
5099
  - cc-by-4.0
5100
  multilingual/miam:
5101
  rows:
5102
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5103
  validation: 35
5104
  test: 33
5105
  source_urls:
 
5115
  - cc-by-sa-4.0
5116
  multilingual/mms:
5117
  rows:
5118
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5119
  validation: 29
5120
  test: 30
5121
  data_files_from:
 
5133
  - other
5134
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5135
  rows:
5136
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5137
  validation: 39
5138
  test: 39
5139
  dataset: tasksource/mtop
 
5146
  - cc-by-sa-4.0
5147
  multilingual/multilingual-NLI-26lang-2mil7:
5148
  rows:
5149
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5150
  validation: 31
5151
  test: 30
5152
  dataset: MoritzLaurer/multilingual-NLI-26lang-2mil7
 
5156
  license_use: unspecified
5157
  multilingual/multilingual-sentiments/all:
5158
  rows:
5159
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5160
  validation: 28
5161
  test: 28
5162
  dataset: tasksource/multilingual-sentiments
 
5171
  - apache-2.0
5172
  multilingual/oasst1_pairwise_rlhf_reward:
5173
  rows:
5174
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5175
  validation: 50
5176
  test: 49
5177
  dataset: tasksource/oasst1_pairwise_rlhf_reward
 
5181
  license_use: unspecified
5182
  multilingual/offenseval_2020/ar:
5183
  rows:
5184
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5185
  validation: 6
5186
  test: 5
5187
  dataset: khalidalt/offenseval_2020_ar
 
5191
  license_use: unspecified
5192
  multilingual/offenseval_2020/da:
5193
  rows:
5194
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5195
  validation: 5
5196
  test: 9
5197
  dataset: tasksource/offenseval_2020
 
5202
  license_use: unspecified
5203
  multilingual/offenseval_2020/gr:
5204
  rows:
5205
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5206
  validation: 5
5207
  test: 5
5208
  dataset: tasksource/offenseval_2020
 
5213
  license_use: unspecified
5214
  multilingual/offenseval_2020/tr:
5215
  rows:
5216
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5217
  validation: 6
5218
  test: 4
5219
  dataset: tasksource/offenseval_2020
 
5224
  license_use: unspecified
5225
  multilingual/offenseval_dravidian/kannada:
5226
  rows:
5227
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5228
  validation: 13
5229
  test: 17
5230
  dataset: community-datasets/offenseval_dravidian
 
5238
  - cc-by-4.0
5239
  multilingual/offenseval_dravidian/malayalam:
5240
  rows:
5241
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5242
  validation: 11
5243
  test: 10
5244
  dataset: community-datasets/offenseval_dravidian
 
5251
  community-datasets/offenseval_dravidian: *id026
5252
  multilingual/offenseval_dravidian/tamil:
5253
  rows:
5254
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5255
  validation: 9
5256
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5257
  dataset: community-datasets/offenseval_dravidian
 
5264
  community-datasets/offenseval_dravidian: *id026
5265
  multilingual/paws-x/de:
5266
  rows:
5267
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5268
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5269
  test: 4
5270
  dataset: google-research-datasets/paws-x
 
5278
  - other
5279
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5280
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5281
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5282
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5283
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5284
  dataset: google-research-datasets/paws-x
 
5291
  google-research-datasets/paws-x: *id027
5292
  multilingual/paws-x/es:
5293
  rows:
5294
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5295
  validation: 7
5296
  test: 3
5297
  dataset: google-research-datasets/paws-x
 
5304
  google-research-datasets/paws-x: *id027
5305
  multilingual/paws-x/fr:
5306
  rows:
5307
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5308
  validation: 4
5309
  test: 3
5310
  dataset: google-research-datasets/paws-x
 
5317
  google-research-datasets/paws-x: *id027
5318
  multilingual/paws-x/ja:
5319
  rows:
5320
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5321
  validation: 2
5322
  test: 4
5323
  dataset: google-research-datasets/paws-x
 
5330
  google-research-datasets/paws-x: *id027
5331
  multilingual/paws-x/ko:
5332
  rows:
5333
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5334
  validation: 2
5335
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5336
  dataset: google-research-datasets/paws-x
 
5343
  google-research-datasets/paws-x: *id027
5344
  multilingual/paws-x/zh:
5345
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5346
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5347
  validation: 2
5348
  test: 2
5349
  dataset: google-research-datasets/paws-x
 
5356
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5357
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5358
  rows:
5359
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5360
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5361
  test: 28
5362
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5372
  - cc-by-3.0
5373
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5374
  rows:
5375
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5376
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5377
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5378
  dataset: tasksource/tydi-as2-balanced
 
5382
  license_use: unspecified
5383
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5384
  rows:
5385
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5386
  validation: 29
5387
  test: 28
5388
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5395
  - gpl
5396
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5397
  rows:
5398
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5399
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5400
  test: 40
5401
  dataset: MartinThoma/wili_2018
 
5408
  - odbl
5409
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5410
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5411
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5412
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5413
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5414
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5418
  license_use: unspecified
5419
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5420
  rows:
5421
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5422
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5423
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5424
  dataset: michiel/xstance
 
5916
  INK-USC/xcsr: *id029
5917
  multilingual/xcsr/X-CSQA-ar:
5918
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5919
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5920
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5921
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5922
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5929
  INK-USC/xcsr: *id029
5930
  multilingual/xcsr/X-CSQA-de:
5931
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5932
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5933
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5934
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5935
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5942
  INK-USC/xcsr: *id029
5943
  multilingual/xcsr/X-CSQA-en:
5944
  rows:
5945
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5946
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5947
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5948
  dataset: INK-USC/xcsr
 
5955
  INK-USC/xcsr: *id029
5956
  multilingual/xcsr/X-CSQA-es:
5957
  rows:
5958
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5959
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5960
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5961
  dataset: INK-USC/xcsr
 
5968
  INK-USC/xcsr: *id029
5969
  multilingual/xcsr/X-CSQA-fr:
5970
  rows:
5971
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5972
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5973
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5974
  dataset: INK-USC/xcsr
 
5981
  INK-USC/xcsr: *id029
5982
  multilingual/xcsr/X-CSQA-hi:
5983
  rows:
5984
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5985
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5986
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5987
  dataset: INK-USC/xcsr
 
5994
  INK-USC/xcsr: *id029
5995
  multilingual/xcsr/X-CSQA-it:
5996
  rows:
5997
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5998
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5999
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6000
  dataset: INK-USC/xcsr
 
6007
  INK-USC/xcsr: *id029
6008
  multilingual/xcsr/X-CSQA-jap:
6009
  rows:
6010
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6011
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6012
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6013
  dataset: INK-USC/xcsr
 
6020
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6021
  multilingual/xcsr/X-CSQA-nl:
6022
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6023
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6024
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6025
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6026
  dataset: INK-USC/xcsr
 
6033
  INK-USC/xcsr: *id029
6034
  multilingual/xcsr/X-CSQA-pl:
6035
  rows:
6036
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6037
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6038
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6039
  dataset: INK-USC/xcsr
 
6046
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6047
  multilingual/xcsr/X-CSQA-pt:
6048
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6049
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6050
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6051
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6052
  dataset: INK-USC/xcsr
 
6059
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6060
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6061
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6062
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6063
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6064
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6065
  dataset: INK-USC/xcsr
 
6072
  INK-USC/xcsr: *id029
6073
  multilingual/xcsr/X-CSQA-sw:
6074
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6075
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6076
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6077
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6078
  dataset: INK-USC/xcsr
 
6085
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6086
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6087
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6088
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6089
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6090
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6091
  dataset: INK-USC/xcsr
 
6098
  INK-USC/xcsr: *id029
6099
  multilingual/xcsr/X-CSQA-vi:
6100
  rows:
6101
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6102
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6103
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6104
  dataset: INK-USC/xcsr
 
6111
  INK-USC/xcsr: *id029
6112
  multilingual/xcsr/X-CSQA-zh:
6113
  rows:
6114
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6115
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6116
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6117
  dataset: INK-USC/xcsr
 
6124
  INK-USC/xcsr: *id029
6125
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6126
  rows:
6127
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6128
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6129
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6130
  dataset: SetFit/xglue_nc
 
6134
  license_use: unspecified
6135
  multilingual/xglue/qadsm:
6136
  rows:
6137
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6138
  validation: 8
6139
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6140
  dataset: tasksource/xglue
 
6150
  - other
6151
  multilingual/xglue/qam:
6152
  rows:
6153
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6154
  validation: 6
6155
  test: 4
6156
  dataset: tasksource/xglue
 
6165
  microsoft/xglue: *id030
6166
  multilingual/xglue/wpr:
6167
  rows:
6168
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6169
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6170
  test: 4
6171
  dataset: tasksource/xglue
 
6180
  microsoft/xglue: *id030
6181
  multilingual/xlwic/xlwic_de_de:
6182
  rows:
6183
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6184
  validation: 4
6185
  test: 4
6186
  dataset: tasksource/xlwic
 
6198
  - CC BY-NC 4.0
6199
  multilingual/xlwic/xlwic_en_ko:
6200
  rows:
6201
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6202
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6203
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6204
  dataset: tasksource/xlwic
 
6215
  - CC BY-NC 4.0
6216
  multilingual/xlwic/xlwic_fr_fr:
6217
  rows:
6218
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6219
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6220
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6221
  dataset: tasksource/xlwic
 
6232
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6233
  multilingual/xlwic/xlwic_it_it:
6234
  rows:
6235
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6236
  validation: 4
6237
  test: 7
6238
  dataset: tasksource/xlwic
 
6249
  - CC BY-NC 4.0
6250
  multilingual/xnli:
6251
  rows:
6252
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6253
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6254
  test: 84
6255
  dataset: facebook/xnli
 
6449
  - cc-by-sa-4.0
6450
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6451
  rows:
6452
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6453
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6454
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6455
  dataset: tasksource/natural-language-satisfiability
 
6459
  license_use: unspecified
6460
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6461
  rows:
6462
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6463
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6464
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6465
  dataset: tasksource/naturallogic
 
6482
  license_use: unspecified
6483
  nli-veridicality-transitivity:
6484
  rows:
6485
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6486
  validation: 22
6487
  test: 22
6488
  dataset: tasksource/nli-veridicality-transitivity
 
6505
  license_use: unspecified
6506
  nli_fever:
6507
  rows:
6508
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6509
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6510
  test: 29
6511
  dataset: pietrolesci/nli_fever
 
6525
  license_use: unspecified
6526
  numer_sense:
6527
  rows:
6528
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6529
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6530
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6531
  dataset: tasksource/numer_sense
 
6612
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6613
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6614
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6615
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6616
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6617
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6618
  dataset: tasksource/oasst2_pairwise_rlhf_reward
 
6655
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6656
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6657
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6658
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6659
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6660
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6661
  dataset: allenai/openbookqa
 
6665
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6666
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6667
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6668
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6669
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6670
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6671
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6675
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6676
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6677
  rows:
6678
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6679
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6680
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6681
  dataset: tasksource/patent-phrase-similarity
 
6688
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6689
  path-naturalness-prediction:
6690
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6691
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6692
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6693
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6694
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6698
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6699
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6700
  rows:
6701
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6702
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6703
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6704
  dataset: google-research-datasets/paws
 
6712
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6713
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6714
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6715
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6716
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6717
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6718
  dataset: google-research-datasets/paws
 
6736
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6737
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6738
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6739
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6740
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6741
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6742
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6753
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6754
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6755
  rows:
6756
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6757
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6758
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6759
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6778
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6779
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6780
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6781
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6782
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6783
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6784
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6789
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6790
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6791
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6792
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6793
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6794
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6795
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6800
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6801
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6802
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6803
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6804
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6805
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6806
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6811
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6812
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6813
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6814
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6815
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6816
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6817
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6822
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6823
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6824
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6825
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6826
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6827
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6828
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6833
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6834
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6835
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6836
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6837
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6838
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6839
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6844
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6845
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6846
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6847
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6848
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6849
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6850
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6866
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6867
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6868
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6869
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6870
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6871
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6872
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6877
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6878
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6879
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6881
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6882
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6883
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6888
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6889
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6890
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6892
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6893
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6899
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6900
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6901
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6904
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6910
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6911
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6912
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6914
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6915
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6916
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6921
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6922
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6923
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6925
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6926
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6927
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6932
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6933
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6934
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6936
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6938
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6943
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6944
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6945
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6947
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6948
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6949
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6954
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6955
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6956
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6959
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6965
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6966
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6967
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6970
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6976
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6977
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6981
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6987
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6988
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6989
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6991
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6992
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6993
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6998
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6999
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7042
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7043
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7045
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7056
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7057
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  dataset: sileod/probability_words_nli
 
7253
  tasksource/procedural-typed-decisions: *id036
7254
  prompt-injection-dataset:
7255
  rows:
7256
+ train: 3994
7257
  validation: 23
7258
  test: 24
7259
  dataset: S-Labs/prompt-injection-dataset
 
7279
  - apache-2.0
7280
  proofwriter:
7281
  rows:
7282
+ train: 5322
7283
  validation: 30
7284
  test: 28
7285
  dataset: tasksource/proofwriter
 
7289
  license_use: unspecified
7290
  propsegment/nli:
7291
  rows:
7292
+ train: 5204
7293
  validation: 30
7294
  test: 28
7295
  source_urls:
 
7305
  - cc-by-4.0
7306
  prost:
7307
  rows:
7308
+ train: 7497
7309
  validation: 30
7310
  test: 31
7311
  data_files_from:
 
7337
  annotators: 100
7338
  qasc:
7339
  rows:
7340
+ train: 6697
7341
  validation: 38
7342
  test: 37
7343
  dataset: allenai/qasc
 
7350
  - cc-by-4.0
7351
  quail:
7352
  rows:
7353
+ train: 10496
7354
  validation: 60
7355
  test: 60
7356
  dataset: textmachinelab/quail
 
7363
  - cc-by-nc-sa-4.0
7364
  quarel:
7365
  rows:
7366
+ train: 1955
7367
  validation: 11
7368
  test: 11
7369
  dataset: community-datasets/quarel
 
7386
  - cc-by-4.0
7387
  race-c:
7388
  rows:
7389
+ train: 6696
7390
  validation: 30
7391
  test: 33
7392
  dataset: tasksource/race-c
 
7398
  - Non Commercial
7399
  race/high:
7400
  rows:
7401
+ train: 9541
7402
  validation: 31
7403
  test: 28
7404
  dataset: ehovy/race
 
7412
  - other
7413
  race/middle:
7414
  rows:
7415
+ train: 9510
7416
  validation: 30
7417
  test: 32
7418
  dataset: ehovy/race
 
7425
  ehovy/race: *id037
7426
  recast/recast_factuality:
7427
  rows:
7428
+ train: 841
7429
  validation: 3
7430
  test: 3
7431
  dataset: tasksource/recast
 
7438
  - CC BY-SA 4.0
7439
  recast/recast_megaveridicality:
7440
  rows:
7441
+ train: 876
7442
  validation: 3
7443
  test: 5
7444
  dataset: tasksource/recast
 
7451
  - CC BY-SA 4.0
7452
  recast/recast_ner:
7453
  rows:
7454
+ train: 838
7455
  validation: 3
7456
  test: 3
7457
  dataset: tasksource/recast
 
7464
  - CC BY-SA 4.0
7465
  recast/recast_puns:
7466
  rows:
7467
+ train: 836
7468
  validation: 2
7469
  test: 3
7470
  dataset: tasksource/recast
 
7477
  - CC BY-SA 4.0
7478
  recast/recast_sentiment:
7479
  rows:
7480
+ train: 860
7481
  validation: 4
7482
  test: 3
7483
  dataset: tasksource/recast
 
7490
  - CC BY-SA 4.0
7491
  recast/recast_verbcorner:
7492
  rows:
7493
+ train: 835
7494
  validation: 5
7495
  test: 3
7496
  dataset: tasksource/recast
 
7503
  - CC BY-SA 4.0
7504
  recast/recast_verbnet:
7505
  rows:
7506
+ train: 851
7507
  validation: 2
7508
  test: 2
7509
  dataset: tasksource/recast
 
7516
  - CC BY-SA 4.0
7517
  recast_white/dpr:
7518
  rows:
7519
+ train: 1617
7520
  validation: 6
7521
  test: 6
7522
  dataset: pietrolesci/recast_white
 
7526
  license_use: unspecified
7527
  recast_white/fnplus:
7528
  rows:
7529
+ train: 1641
7530
  validation: 10
7531
  test: 10
7532
  dataset: pietrolesci/recast_white
 
7536
  license_use: unspecified
7537
  recast_white/sprl:
7538
  rows:
7539
+ train: 1655
7540
  validation: 6
7541
  test: 6
7542
  dataset: pietrolesci/recast_white
 
7546
  license_use: unspecified
7547
  reclor:
7548
  rows:
7549
+ train: 5180
7550
  validation: 31
7551
  test: 32
7552
  dataset: tasksource/reclor
 
7559
  - other
7560
  regset:
7561
  rows:
7562
+ train: 6065
7563
  validation: 33
7564
  test: 34
7565
  dataset: tasksource/regset
 
7569
  license_use: unspecified
7570
  resnli:
7571
  rows:
7572
+ train: 4283
7573
  validation: 22
7574
  test: 22
7575
  dataset: tasksource/resnli
 
7609
  license_use: unspecified
7610
  robust_nli/IS_CS:
7611
  rows:
7612
+ train: 207
7613
  validation: 1
7614
  test: 1
7615
  dataset: pietrolesci/robust_nli
 
7623
  - OANC
7624
  robust_nli/LI_LI:
7625
  rows:
7626
+ train: 226
7627
  validation: 1
7628
  test: 1
7629
  dataset: pietrolesci/robust_nli
 
7637
  - OANC
7638
  robust_nli/PI_CD:
7639
  rows:
7640
+ train: 210
7641
  validation: 1
7642
  test: 1
7643
  dataset: pietrolesci/robust_nli
 
7651
  - OANC
7652
  robust_nli/PI_SP:
7653
  rows:
7654
+ train: 209
7655
  dataset: pietrolesci/robust_nli
7656
  revisions:
7657
  pietrolesci/robust_nli: 429dde22805398bdd6cfece27284f53a44ed6e67
 
7663
  - OANC
7664
  robust_nli/ST_LM:
7665
  rows:
7666
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7667
  dataset: pietrolesci/robust_nli
7668
  revisions:
7669
  pietrolesci/robust_nli: 429dde22805398bdd6cfece27284f53a44ed6e67
 
7675
  - OANC
7676
  robust_nli/ST_NE:
7677
  rows:
7678
+ train: 218
7679
  test: 1
7680
  dataset: pietrolesci/robust_nli
7681
  revisions:
 
7688
  - OANC
7689
  robust_nli/ST_SE:
7690
  rows:
7691
+ train: 199
7692
  dataset: pietrolesci/robust_nli
7693
  revisions:
7694
  pietrolesci/robust_nli: 429dde22805398bdd6cfece27284f53a44ed6e67
 
7700
  - OANC
7701
  robust_nli/ST_WO:
7702
  rows:
7703
+ train: 195
7704
  dataset: pietrolesci/robust_nli
7705
  revisions:
7706
  pietrolesci/robust_nli: 429dde22805398bdd6cfece27284f53a44ed6e67
 
7712
  - OANC
7713
  robust_nli_is_sd:
7714
  rows:
7715
+ train: 906
7716
  validation: 2
7717
  test: 3
7718
  dataset: pietrolesci/robust_nli_is_sd
 
7724
  - OANC
7725
  robust_nli_li_ts:
7726
  rows:
7727
+ train: 588
7728
  validation: 3
7729
  test: 2
7730
  dataset: pietrolesci/robust_nli_li_ts
 
7736
  - OANC
7737
  rotten_tomatoes:
7738
  rows:
7739
+ train: 3959
7740
  validation: 22
7741
  test: 22
7742
  dataset: cornell-movie-review-data/rotten_tomatoes
 
7746
  license_use: unspecified
7747
  ruletaker:
7748
  rows:
7749
+ train: 4336
7750
  validation: 22
7751
  test: 22
7752
  dataset: tasksource/ruletaker
 
7761
  - Apache License 2.0
7762
  rumoureval_2019/RumourEval2019:
7763
  rows:
7764
+ train: 4838
7765
  validation: 29
7766
  test: 29
7767
  data_files_from:
 
7778
  - Custom
7779
  safe-guard-prompt-injection:
7780
  rows:
7781
+ train: 3923
7782
  validation: 22
7783
  test: 22
7784
  dataset: xTRam1/safe-guard-prompt-injection
 
7788
  license_use: unspecified
7789
  scicite:
7790
  rows:
7791
+ train: 4893
7792
  validation: 29
7793
  test: 28
7794
  dataset: tasksource/scicite
 
7838
  license_use: unspecified
7839
  scinli:
7840
  rows:
7841
+ train: 5317
7842
  validation: 28
7843
  test: 28
7844
  dataset: tasksource/scinli
 
7853
  - CC BY-SA 4.0
7854
  sciq:
7855
  rows:
7856
+ train: 6534
7857
  validation: 31
7858
  test: 30
7859
  dataset: allenai/sciq
 
7866
  - cc-by-nc-3.0
7867
  scitail/snli_format:
7868
  rows:
7869
+ train: 4210
7870
  validation: 25
7871
  test: 22
7872
  dataset: allenai/scitail
 
7877
  license_use: unspecified
7878
  scone:
7879
  rows:
7880
+ train: 3892
7881
  validation: 22
7882
  test: 23
7883
  dataset: tasksource/scone
 
7907
  annotators: 8
7908
  seahorse_summarization_evaluation:
7909
  rows:
7910
+ train: 25068
7911
  validation: 113
7912
  test: 114
7913
  dataset: tasksource/seahorse_summarization_evaluation
 
7920
  - cc
7921
  sem_eval_2010_task_8:
7922
  rows:
7923
+ train: 5824
7924
  validation: 34
7925
  test: 34
7926
  dataset: SemEvalWorkshop/sem_eval_2010_task_8
 
7932
  - CC0 1.0
7933
  semantic_fragments_nli:
7934
  rows:
7935
+ train: 5274
7936
  validation: 31
7937
  test: 28
7938
  dataset: tasksource/semantic_fragments_nli
 
7962
  license_use: unspecified
7963
  sharc:
7964
  rows:
7965
+ train: 5103
7966
  validation: 29
7967
  test: 28
7968
  dataset: tasksource/sharc
 
7974
  license_use: unspecified
7975
  shell-safety-v2:
7976
  rows:
7977
+ train: 5278
7978
  validation: 30
7979
  test: 28
7980
  dataset: tomngdev/shell-safety-v2
 
7999
  - CC BY 4.0
8000
  sick/label:
8001
  rows:
8002
+ train: 4828
8003
  validation: 29
8004
  test: 30
8005
  dataset: tasksource/sick
 
8030
  annotators: 10
8031
  silicone/dyda_da:
8032
  rows:
8033
+ train: 1411
8034
  validation: 9
8035
  test: 7
8036
  dataset: tasksource/silicone
 
8048
  - CC BY-NC-SA 4.0
8049
  silicone/maptask:
8050
  rows:
8051
+ train: 1433
8052
  validation: 6
8053
  test: 7
8054
  dataset: tasksource/silicone
 
8065
  - CC BY 4.0
8066
  silicone/oasis:
8067
  rows:
8068
+ train: 1461
8069
  validation: 8
8070
  test: 8
8071
  dataset: tasksource/silicone
 
8082
  - CC BY-NC-SA 4.0
8083
  silicone/sem:
8084
  rows:
8085
+ train: 1280
8086
  validation: 5
8087
  test: 6
8088
  dataset: tasksource/silicone
 
8099
  - CC BY-NC-SA 4.0
8100
  simple_pair:
8101
  rows:
8102
+ train: 2487
8103
  validation: 17
8104
  test: 15
8105
  dataset: tasksource/simple_pair
 
8109
  license_use: unspecified
8110
  sms_spam:
8111
  rows:
8112
+ train: 3889
8113
  validation: 22
8114
  test: 23
8115
  dataset: ucirvine/sms_spam
 
8136
  - CC0 1.0
8137
  snli:
8138
  rows:
8139
+ train: 5285
8140
  validation: 29
8141
  test: 28
8142
  dataset: stanfordnlp/snli
 
8149
  - cc-by-sa-4.0
8150
  social_i_qa:
8151
  rows:
8152
+ train: 14281
8153
  validation: 60
8154
  test: 60
8155
  dataset: tasksource/social_i_qa
 
8163
  - CC BY 4.0
8164
  spartqa-mchoice:
8165
  rows:
8166
+ train: 17195
8167
  validation: 90
8168
  test: 92
8169
  dataset: tasksource/spartqa-mchoice
 
8176
  - mit
8177
  spartqa-yn:
8178
  rows:
8179
+ train: 7571
8180
  validation: 45
8181
  test: 42
8182
  dataset: tasksource/spartqa-yn
 
8189
  - apache-2.0
8190
  stackoverflow-questions:
8191
  rows:
8192
+ train: 5188
8193
  validation: 28
8194
  test: 29
8195
  dataset: pacovaldez/stackoverflow-questions
 
8214
  - CC0 1.0
8215
  stepgame:
8216
  rows:
8217
+ train: 6212
8218
  validation: 33
8219
  test: 33
8220
  dataset: tasksource/stepgame
 
8264
  - mit
8265
  summarize_from_feedback/comparisons:
8266
  rows:
8267
+ train: 47372
8268
  validation: 244
8269
  test: 240
8270
  dataset: vwxyzjn/summarize_from_feedback_oai_preprocessing
 
8294
  - other
8295
  super_glue/boolq:
8296
  rows:
8297
+ train: 994
8298
  validation: 3
8299
  test: 3
8300
  dataset: aps/super_glue
 
8307
  aps/super_glue: *id040
8308
  super_glue/boolq_passage:
8309
  rows:
8310
+ train: 1014
8311
  validation: 4
8312
  test: 3
8313
  dataset: aps/super_glue
 
8346
  aps/super_glue: *id040
8347
  super_glue/multirc:
8348
  rows:
8349
+ train: 1054
8350
  validation: 4
8351
  test: 3
8352
  dataset: aps/super_glue
 
8359
  aps/super_glue: *id040
8360
  super_glue/wic:
8361
  rows:
8362
+ train: 1020
8363
  validation: 3
8364
  test: 3
8365
  dataset: aps/super_glue
 
8372
  aps/super_glue: *id040
8373
  swag/regular:
8374
  rows:
8375
+ train: 14295
8376
  validation: 61
8377
  test: 61
8378
  dataset: allenai/swag
 
8383
  license_use: unspecified
8384
  syntactic-augmentation-nli:
8385
  rows:
8386
+ train: 4954
8387
  validation: 28
8388
  test: 28
8389
  dataset: tasksource/syntactic-augmentation-nli
 
8396
  - mit
8397
  synthetic-instruct-gptj-pairwise:
8398
  rows:
8399
+ train: 8682
8400
  validation: 26
8401
  test: 25
8402
  dataset: Dahoas/synthetic-instruct-gptj-pairwise
 
8406
  license_use: unspecified
8407
  synthetic-retrieval-NLI/binary:
8408
  rows:
8409
+ train: 1667
8410
  validation: 8
8411
  test: 14
8412
  dataset: tasksource/synthetic-retrieval-NLI
 
8417
  license_use: unspecified
8418
  synthetic-retrieval-NLI/count:
8419
  rows:
8420
+ train: 1724
8421
  validation: 11
8422
  test: 7
8423
  dataset: tasksource/synthetic-retrieval-NLI
 
8428
  license_use: unspecified
8429
  synthetic-retrieval-NLI/position:
8430
  rows:
8431
+ train: 1675
8432
  validation: 10
8433
  test: 8
8434
  dataset: tasksource/synthetic-retrieval-NLI
 
8452
  - other
8453
  temporal-nli:
8454
  rows:
8455
+ train: 5278
8456
  validation: 29
8457
  test: 28
8458
  dataset: tasksource/temporal-nli
 
8465
  - apache-2.0
8466
  tomi-nli:
8467
  rows:
8468
+ train: 5783
8469
  validation: 35
8470
  test: 33
8471
  dataset: tasksource/tomi-nli
 
8478
  - gpl-3.0
8479
  toxic-chat/toxicchat0124/jailbreaking:
8480
  rows:
8481
+ train: 1979
8482
  validation: 11
8483
  test: 11
8484
  dataset: lmsys/toxic-chat
 
8495
  - OpenAI
8496
  toxic-chat/toxicchat0124/toxicity:
8497
  rows:
8498
+ train: 1970
8499
  validation: 12
8500
  test: 11
8501
  dataset: lmsys/toxic-chat
 
8511
  - OpenAI
8512
  toxic_conversations:
8513
  rows:
8514
+ train: 4273
8515
  validation: 22
8516
  test: 22
8517
  dataset: SetFit/toxic_conversations
 
8521
  license_use: unspecified
8522
  toxigen-data/annotated:
8523
  rows:
8524
+ train: 3908
8525
  validation: 22
8526
  test: 22
8527
  dataset: skg/toxigen-data
 
8557
  license_use: unspecified
8558
  tweet_eval/emoji:
8559
  rows:
8560
+ train: 615
8561
  validation: 4
8562
  test: 2
8563
  dataset: cardiffnlp/tweet_eval
 
8568
  license_use: unspecified
8569
  tweet_eval/emotion:
8570
  rows:
8571
+ train: 580
8572
  validation: 2
8573
  test: 3
8574
  dataset: cardiffnlp/tweet_eval
 
8579
  license_use: unspecified
8580
  tweet_eval/hate:
8581
  rows:
8582
+ train: 610
8583
  validation: 2
8584
  test: 3
8585
  dataset: cardiffnlp/tweet_eval
 
8590
  license_use: unspecified
8591
  tweet_eval/irony:
8592
  rows:
8593
+ train: 598
8594
  validation: 5
8595
  test: 2
8596
  dataset: cardiffnlp/tweet_eval
 
8601
  license_use: unspecified
8602
  tweet_eval/offensive:
8603
  rows:
8604
+ train: 574
8605
  validation: 3
8606
  test: 2
8607
  dataset: cardiffnlp/tweet_eval
 
8612
  license_use: unspecified
8613
  tweet_eval/sentiment:
8614
  rows:
8615
+ train: 528
8616
  validation: 2
8617
  test: 2
8618
  dataset: cardiffnlp/tweet_eval
 
8623
  license_use: unspecified
8624
  tweet_eval/stance_abortion:
8625
  rows:
8626
+ train: 584
8627
  validation: 2
8628
  test: 2
8629
  dataset: cardiffnlp/tweet_eval
 
8634
  license_use: unspecified
8635
  tweet_eval/stance_atheism:
8636
  rows:
8637
+ train: 530
8638
  validation: 2
8639
  test: 2
8640
  dataset: cardiffnlp/tweet_eval
 
8656
  license_use: unspecified
8657
  tweet_eval/stance_feminist:
8658
  rows:
8659
+ train: 574
8660
  validation: 2
8661
  test: 6
8662
  dataset: cardiffnlp/tweet_eval
 
8667
  license_use: unspecified
8668
  tweet_eval/stance_hillary:
8669
  rows:
8670
+ train: 586
8671
  validation: 2
8672
  test: 2
8673
  dataset: cardiffnlp/tweet_eval
 
8678
  license_use: unspecified
8679
  tweets_hate_speech_detection:
8680
  rows:
8681
+ train: 4311
8682
  validation: 24
8683
  test: 23
8684
  dataset: tweets-hate-speech-detection/tweets_hate_speech_detection
 
8691
  - gpl-3.0
8692
  twentyquestions:
8693
  rows:
8694
+ train: 6204
8695
  validation: 37
8696
  test: 33
8697
  dataset: tasksource/twentyquestions
 
8701
  license_use: unspecified
8702
  twitter-financial-news-sentiment:
8703
  rows:
8704
+ train: 4921
8705
  validation: 29
8706
  test: 30
8707
  dataset: zeroshot/twitter-financial-news-sentiment
 
8714
  - mit
8715
  utilitarianism:
8716
  rows:
8717
+ train: 2139
8718
  validation: 11
8719
  test: 12
8720
  data_files_from:
 
8727
  hendrycks/ethics: *id013
8728
  vitaminc:
8729
  rows:
8730
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8731
  validation: 31
8732
  test: 28
8733
  dataset: tals/vitaminc
 
8740
  - cc-by-sa-3.0
8741
  webgpt_comparisons:
8742
  rows:
8743
+ train: 5559
8744
  validation: 27
8745
  test: 27
8746
  dataset: heegyu/webgpt_comparisons_ko
 
8765
  - cc-by-sa-4.0
8766
  wiki_hop/original:
8767
  rows:
8768
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8769
  validation: 72
8770
  test: 76
8771
  dataset: MoE-UNC/wikihop
 
8781
  - cc-by-sa-3.0
8782
  wiki_qa:
8783
  rows:
8784
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8785
  validation: 23
8786
  test: 22
8787
  dataset: microsoft/wiki_qa
 
8794
  - other
8795
  wikimedqa/medwiki:
8796
  rows:
8797
+ train: 15902
8798
  validation: 75
8799
  test: 76
8800
  dataset: sileod/wikimedqa
 
8808
  - apache-2.0
8809
  wildguardmix-cleaned/prompt_harm:
8810
  rows:
8811
+ train: 1693
8812
  validation: 6
8813
  test: 11
8814
  dataset: bogdanminko/wildguardmix-cleaned
 
8823
  - odc-by
8824
  wildguardmix-cleaned/response_harm:
8825
  rows:
8826
+ train: 1849
8827
  validation: 7
8828
  test: 4
8829
  dataset: bogdanminko/wildguardmix-cleaned
 
8837
  allenai/wildguardmix: *id042
8838
  wildguardmix-cleaned/response_refusal:
8839
  rows:
8840
+ train: 1752
8841
  validation: 9
8842
  test: 7
8843
  dataset: bogdanminko/wildguardmix-cleaned
 
8864
  - cc-by-4.0
8865
  winogrande/winogrande_xl:
8866
  rows:
8867
+ train: 12591
8868
  validation: 48
8869
  test: 49
8870
  dataset: allenai/winogrande
 
8888
  - mit
8889
  wiqa:
8890
  rows:
8891
+ train: 14184
8892
  validation: 61
8893
  test: 62
8894
  data_files_from:
 
8930
  annotators: 1000
8931
  yahoo_answers_topics:
8932
  rows:
8933
+ train: 6263
8934
  validation: 36
8935
  test: 33
8936
  dataset: community-datasets/yahoo_answers_topics
 
8940
  license_use: unspecified
8941
  yelp_review_full/yelp_review_full:
8942
  rows:
8943
+ train: 5161
8944
  validation: 28
8945
  test: 28
8946
  dataset: Yelp/yelp_review_full