metadata
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:
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num_examples: 9815
- name: mnli_mm
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num_examples: 9832
- name: fever
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num_examples: 19652
- name: anli_r1
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num_examples: 1000
- name: anli_r2
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num_examples: 1000
- name: anli_r3
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num_examples: 1200
- name: wanli
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num_examples: 5000
- name: ling
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num_examples: 4893
- name: wellformedquery
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num_examples: 5934
- name: rottentomatoes
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num_examples: 2132
- name: amazonpolarity
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num_examples: 20000
- name: imdb
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num_examples: 20000
- name: yelpreviews
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num_examples: 20000
- name: hatexplain
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num_examples: 2922
- name: massive
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num_examples: 175466
- name: banking77
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num_examples: 221760
- name: emotiondair
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num_examples: 12000
- name: emocontext
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num_examples: 22036
- name: empathetic
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num_examples: 81344
- name: agnews
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num_examples: 30400
- name: yahootopics
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num_examples: 500000
- name: biasframes_sex
num_bytes: 1803606
num_examples: 8808
- name: biasframes_offensive
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num_examples: 7676
- name: biasframes_intent
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num_examples: 7296
- name: financialphrasebank
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num_examples: 2070
- name: appreviews
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num_examples: 8000
- name: hateoffensive
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num_examples: 2586
- name: trueteacher
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num_examples: 17910
- name: spam
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num_examples: 2070
- name: wikitoxic_toxicaggregated
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num_examples: 20000
- name: wikitoxic_obscene
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num_examples: 17382
- name: wikitoxic_identityhate
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- name: wikitoxic_threat
num_bytes: 5091276
num_examples: 10422
- name: wikitoxic_insult
num_bytes: 7229696
num_examples: 16854
download_size: 66145513
dataset_size: 605069174