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---
configs:
- config_name: default
  data_files:
  - split: mnli_m
    path: data/mnli_m-*
  - split: mnli_mm
    path: data/mnli_mm-*
  - split: fever
    path: data/fever-*
  - split: anli_r1
    path: data/anli_r1-*
  - split: anli_r2
    path: data/anli_r2-*
  - split: anli_r3
    path: data/anli_r3-*
  - split: wanli
    path: data/wanli-*
  - split: ling
    path: data/ling-*
  - split: wellformedquery
    path: data/wellformedquery-*
  - split: rottentomatoes
    path: data/rottentomatoes-*
  - split: amazonpolarity
    path: data/amazonpolarity-*
  - split: imdb
    path: data/imdb-*
  - split: yelpreviews
    path: data/yelpreviews-*
  - split: hatexplain
    path: data/hatexplain-*
  - split: massive
    path: data/massive-*
  - split: banking77
    path: data/banking77-*
  - split: emotiondair
    path: data/emotiondair-*
  - split: emocontext
    path: data/emocontext-*
  - split: empathetic
    path: data/empathetic-*
  - split: agnews
    path: data/agnews-*
  - split: yahootopics
    path: data/yahootopics-*
  - split: biasframes_sex
    path: data/biasframes_sex-*
  - split: biasframes_offensive
    path: data/biasframes_offensive-*
  - split: biasframes_intent
    path: data/biasframes_intent-*
  - split: financialphrasebank
    path: data/financialphrasebank-*
  - split: appreviews
    path: data/appreviews-*
  - split: hateoffensive
    path: data/hateoffensive-*
  - split: trueteacher
    path: data/trueteacher-*
  - split: spam
    path: data/spam-*
  - split: wikitoxic_toxicaggregated
    path: data/wikitoxic_toxicaggregated-*
  - split: wikitoxic_obscene
    path: data/wikitoxic_obscene-*
  - split: wikitoxic_identityhate
    path: data/wikitoxic_identityhate-*
  - split: wikitoxic_threat
    path: data/wikitoxic_threat-*
  - split: wikitoxic_insult
    path: data/wikitoxic_insult-*
dataset_info:
  features:
  - name: text
    dtype: string
  - name: hypothesis
    dtype: string
  - name: labels
    dtype:
      class_label:
        names:
          '0': 'true'
          '1': not_true
  - name: task_name
    dtype: string
  - name: label_text
    dtype: string
  splits:
  - name: mnli_m
    num_bytes: 1996537
    num_examples: 9815
  - name: mnli_mm
    num_bytes: 2122187
    num_examples: 9832
  - name: fever
    num_bytes: 7355160
    num_examples: 19652
  - name: anli_r1
    num_bytes: 427064
    num_examples: 1000
  - name: anli_r2
    num_bytes: 426927
    num_examples: 1000
  - name: anli_r3
    num_bytes: 494090
    num_examples: 1200
  - name: wanli
    num_bytes: 910472
    num_examples: 5000
  - name: ling
    num_bytes: 1034204
    num_examples: 4893
  - name: wellformedquery
    num_bytes: 797997
    num_examples: 5934
  - name: rottentomatoes
    num_bytes: 476608
    num_examples: 2132
  - name: amazonpolarity
    num_bytes: 10638222
    num_examples: 20000
  - name: imdb
    num_bytes: 27702150
    num_examples: 20000
  - name: yelpreviews
    num_bytes: 15528830
    num_examples: 20000
  - name: hatexplain
    num_bytes: 686828
    num_examples: 2922
  - name: massive
    num_bytes: 22508046
    num_examples: 175466
  - name: banking77
    num_bytes: 38244320
    num_examples: 221760
  - name: emotiondair
    num_bytes: 2106560
    num_examples: 12000
  - name: emocontext
    num_bytes: 3399684
    num_examples: 22036
  - name: empathetic
    num_bytes: 51489174
    num_examples: 81344
  - name: agnews
    num_bytes: 9387496
    num_examples: 30400
  - name: yahootopics
    num_bytes: 339270530
    num_examples: 500000
  - name: biasframes_sex
    num_bytes: 1803606
    num_examples: 8808
  - name: biasframes_offensive
    num_bytes: 1762676
    num_examples: 7676
  - name: biasframes_intent
    num_bytes: 1570206
    num_examples: 7296
  - name: financialphrasebank
    num_bytes: 508644
    num_examples: 2070
  - name: appreviews
    num_bytes: 2350054
    num_examples: 8000
  - name: hateoffensive
    num_bytes: 472792
    num_examples: 2586
  - name: trueteacher
    num_bytes: 24678372
    num_examples: 17910
  - name: spam
    num_bytes: 276250
    num_examples: 2070
  - name: wikitoxic_toxicaggregated
    num_bytes: 8866954
    num_examples: 20000
  - name: wikitoxic_obscene
    num_bytes: 7812494
    num_examples: 17382
  - name: wikitoxic_identityhate
    num_bytes: 5643068
    num_examples: 11424
  - name: wikitoxic_threat
    num_bytes: 5091276
    num_examples: 10422
  - name: wikitoxic_insult
    num_bytes: 7229696
    num_examples: 16854
  download_size: 66145513
  dataset_size: 605069174
---
# Dataset Card for "dataset_test_disaggregated_nli"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)