---
configs:
- config_name: default
  data_files:
  - split: mnli_m
    path: data/mnli_m-*
  - split: mnli_mm
    path: data/mnli_mm-*
  - split: fevernli
    path: data/fevernli-*
  - 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: lingnli
    path: data/lingnli-*
  - 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-*
  - split: manifesto
    path: data/manifesto-*
  - split: capsotu
    path: data/capsotu-*
dataset_info:
  features:
  - name: text
    dtype: string
  - name: hypothesis
    dtype: string
  - name: labels
    dtype:
      class_label:
        names:
          '0': entailment
          '1': not_entailment
  - name: task_name
    dtype: string
  - name: label_text
    dtype: string
  splits:
  - name: mnli_m
    num_bytes: 2055427
    num_examples: 9815
  - name: mnli_mm
    num_bytes: 2181179
    num_examples: 9832
  - name: fevernli
    num_bytes: 7532028
    num_examples: 19652
  - name: anli_r1
    num_bytes: 433064
    num_examples: 1000
  - name: anli_r2
    num_bytes: 432927
    num_examples: 1000
  - name: anli_r3
    num_bytes: 501290
    num_examples: 1200
  - name: wanli
    num_bytes: 940472
    num_examples: 5000
  - name: lingnli
    num_bytes: 1078241
    num_examples: 4893
  - name: wellformedquery
    num_bytes: 815799
    num_examples: 5934
  - name: rottentomatoes
    num_bytes: 493664
    num_examples: 2132
  - name: amazonpolarity
    num_bytes: 10798222
    num_examples: 20000
  - name: imdb
    num_bytes: 27862150
    num_examples: 20000
  - name: yelpreviews
    num_bytes: 15688830
    num_examples: 20000
  - name: hatexplain
    num_bytes: 710204
    num_examples: 2922
  - name: massive
    num_bytes: 23911774
    num_examples: 175466
  - name: banking77
    num_bytes: 40018400
    num_examples: 221760
  - name: emotiondair
    num_bytes: 2202560
    num_examples: 12000
  - name: emocontext
    num_bytes: 3575972
    num_examples: 22036
  - name: empathetic
    num_bytes: 52139926
    num_examples: 81344
  - name: agnews
    num_bytes: 9630696
    num_examples: 30400
  - name: yahootopics
    num_bytes: 343270530
    num_examples: 500000
  - name: biasframes_sex
    num_bytes: 1830030
    num_examples: 8808
  - name: biasframes_offensive
    num_bytes: 1785704
    num_examples: 7676
  - name: biasframes_intent
    num_bytes: 1592094
    num_examples: 7296
  - name: financialphrasebank
    num_bytes: 514854
    num_examples: 2070
  - name: appreviews
    num_bytes: 2414054
    num_examples: 8000
  - name: hateoffensive
    num_bytes: 493480
    num_examples: 2586
  - name: trueteacher
    num_bytes: 24821652
    num_examples: 17910
  - name: spam
    num_bytes: 292810
    num_examples: 2070
  - name: wikitoxic_toxicaggregated
    num_bytes: 9026954
    num_examples: 20000
  - name: wikitoxic_obscene
    num_bytes: 7951550
    num_examples: 17382
  - name: wikitoxic_identityhate
    num_bytes: 5734460
    num_examples: 11424
  - name: wikitoxic_threat
    num_bytes: 5174652
    num_examples: 10422
  - name: wikitoxic_insult
    num_bytes: 7364528
    num_examples: 16854
  - name: manifesto
    num_bytes: 417565056
    num_examples: 953008
  - name: capsotu
    num_bytes: 24646828
    num_examples: 70455
  download_size: 10536386
  dataset_size: 1057482061
---
# Dataset Card for "dataset_test_disaggregated_nli"

Dataset for testing a universal classifier. Additional information and training code available here: https://github.com/MoritzLaurer/zeroshot-classifier