README.md

metadata

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