README.md

metadata

annotations_creators:
  - other
language_creators:
  - found
language:
  - as
  - bn
  - en
  - gu
  - hi
  - kn
  - ml
  - mr
  - or
  - pa
  - ta
  - te
license:
  - other
multilinguality:
  - multilingual
size_categories:
  - 100K<n<1M
source_datasets:
  - extended|other
task_categories:
  - text-classification
  - token-classification
  - multiple-choice
task_ids:
  - topic-classification
  - natural-language-inference
  - sentiment-analysis
  - semantic-similarity-scoring
  - named-entity-recognition
  - multiple-choice-qa
pretty_name: IndicGLUE
tags:
  - discourse-mode-classification
  - paraphrase-identification
  - cross-lingual-similarity
  - headline-classification
dataset_info:
  - config_name: actsa-sc.te
    features:
      - name: text
        dtype: string
      - name: label
        dtype:
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              '0': positive
              '1': negative
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      - name: validation
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        num_examples: 541
      - name: test
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        num_examples: 541
    download_size: 378882
    dataset_size: 1705299
  - config_name: bbca.hi
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      - name: label
        dtype: string
      - name: text
        dtype: string
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      - name: test
        num_bytes: 5501156
        num_examples: 866
    download_size: 5770136
    dataset_size: 27627369
  - config_name: copa.en
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      - name: premise
        dtype: string
      - name: choice1
        dtype: string
      - name: choice2
        dtype: string
      - name: question
        dtype: string
      - name: label
        dtype: int32
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      - name: validation
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        num_examples: 100
      - name: test
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        num_examples: 500
    download_size: 79431
    dataset_size: 113558
  - config_name: copa.gu
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      - name: premise
        dtype: string
      - name: choice1
        dtype: string
      - name: choice2
        dtype: string
      - name: question
        dtype: string
      - name: label
        dtype: int32
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      - name: validation
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        num_examples: 88
      - name: test
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        num_examples: 448
    download_size: 107668
    dataset_size: 225544
  - config_name: copa.hi
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      - name: choice1
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      - name: question
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      - name: label
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      - name: validation
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        num_examples: 88
      - name: test
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  - config_name: copa.mr
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      - name: question
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      - name: validation
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      - name: test
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  - config_name: csqa.as
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  - config_name: csqa.bn
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  - config_name: csqa.gu
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  - config_name: csqa.hi
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  - config_name: csqa.kn
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  - config_name: csqa.ml
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  - config_name: csqa.mr
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  - config_name: csqa.or
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  - config_name: csqa.pa
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  - config_name: csqa.ta
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        sequence: string
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  - config_name: csqa.te
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        sequence: string
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  - config_name: cvit-mkb-clsr.en-bn
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        dtype: string
      - name: sentence2
        dtype: string
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  - config_name: cvit-mkb-clsr.en-gu
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        dtype: string
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  - config_name: cvit-mkb-clsr.en-hi
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        dtype: string
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  - config_name: cvit-mkb-clsr.en-ml
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  - config_name: cvit-mkb-clsr.en-mr
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  - config_name: cvit-mkb-clsr.en-or
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  - config_name: cvit-mkb-clsr.en-ta
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  - config_name: cvit-mkb-clsr.en-te
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  - config_name: cvit-mkb-clsr.en-ur
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  - config_name: iitp-mr.hi
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  - config_name: iitp-pr.hi
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  - config_name: inltkh.gu
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  - config_name: inltkh.mr
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  - config_name: md.hi
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  - config_name: sna.bn
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  - config_name: wiki-ner.as
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  - config_name: wiki-ner.bn
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  - config_name: wiki-ner.mr
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  - config_name: wiki-ner.pa
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  - config_name: wiki-ner.ta
    features:
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        sequence:
          class_label:
            names:
              '0': B-LOC
              '1': B-ORG
              '2': B-PER
              '3': I-LOC
              '4': I-ORG
              '5': I-PER
              '6': O
      - name: additional_info
        sequence:
          sequence: string
    splits:
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        num_examples: 20466
      - name: validation
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        num_examples: 2586
      - name: test
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        num_examples: 2611
    download_size: 5980272
    dataset_size: 12706014
  - config_name: wiki-ner.te
    features:
      - name: tokens
        sequence: string
      - name: ner_tags
        sequence:
          class_label:
            names:
              '0': B-LOC
              '1': B-ORG
              '2': B-PER
              '3': I-LOC
              '4': I-ORG
              '5': I-PER
              '6': O
      - name: additional_info
        sequence:
          sequence: string
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        num_examples: 7978
      - name: validation
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        num_examples: 841
      - name: test
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        num_examples: 1110
    download_size: 5980272
    dataset_size: 4847598
  - config_name: wnli.en
    features:
      - name: hypothesis
        dtype: string
      - name: premise
        dtype: string
      - name: label
        dtype:
          class_label:
            names:
              '0': not_entailment
              '1': entailment
              '2': None
    splits:
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        num_examples: 635
      - name: validation
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        num_examples: 71
      - name: test
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        num_examples: 146
    download_size: 57667
    dataset_size: 153744
  - config_name: wnli.gu
    features:
      - name: hypothesis
        dtype: string
      - name: premise
        dtype: string
      - name: label
        dtype:
          class_label:
            names:
              '0': not_entailment
              '1': entailment
              '2': None
    splits:
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        num_examples: 635
      - name: validation
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        num_examples: 71
      - name: test
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        num_examples: 146
    download_size: 98032
    dataset_size: 374307
  - config_name: wnli.hi
    features:
      - name: hypothesis
        dtype: string
      - name: premise
        dtype: string
      - name: label
        dtype:
          class_label:
            names:
              '0': not_entailment
              '1': entailment
              '2': None
    splits:
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        num_examples: 635
      - name: validation
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        num_examples: 71
      - name: test
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        num_examples: 146
    download_size: 99450
    dataset_size: 372833
  - config_name: wnli.mr
    features:
      - name: hypothesis
        dtype: string
      - name: premise
        dtype: string
      - name: label
        dtype:
          class_label:
            names:
              '0': not_entailment
              '1': entailment
              '2': None
    splits:
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        num_examples: 635
      - name: validation
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        num_examples: 71
      - name: test
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        num_examples: 146
    download_size: 103774
    dataset_size: 382995
  - config_name: wstp.as
    features:
      - name: sectionText
        dtype: string
      - name: correctTitle
        dtype: string
      - name: titleA
        dtype: string
      - name: titleB
        dtype: string
      - name: titleC
        dtype: string
      - name: titleD
        dtype: string
      - name: url
        dtype: string
    splits:
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        num_examples: 5000
      - name: validation
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        num_examples: 625
      - name: test
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        num_examples: 626
    download_size: 6959458
    dataset_size: 16977954
  - config_name: wstp.bn
    features:
      - name: sectionText
        dtype: string
      - name: correctTitle
        dtype: string
      - name: titleA
        dtype: string
      - name: titleB
        dtype: string
      - name: titleC
        dtype: string
      - name: titleD
        dtype: string
      - name: url
        dtype: string
    splits:
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      - name: validation
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        num_examples: 5947
      - name: test
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        num_examples: 5948
    download_size: 69145372
    dataset_size: 178733558
  - config_name: wstp.gu
    features:
      - name: sectionText
        dtype: string
      - name: correctTitle
        dtype: string
      - name: titleA
        dtype: string
      - name: titleB
        dtype: string
      - name: titleC
        dtype: string
      - name: titleD
        dtype: string
      - name: url
        dtype: string
    splits:
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      - name: validation
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        num_examples: 1251
      - name: test
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        num_examples: 1251
    download_size: 19763249
    dataset_size: 48940374
  - config_name: wstp.hi
    features:
      - name: sectionText
        dtype: string
      - name: correctTitle
        dtype: string
      - name: titleA
        dtype: string
      - name: titleB
        dtype: string
      - name: titleC
        dtype: string
      - name: titleD
        dtype: string
      - name: url
        dtype: string
    splits:
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      - name: validation
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        num_examples: 5509
      - name: test
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        num_examples: 5509
    download_size: 77868574
    dataset_size: 197494483
  - config_name: wstp.kn
    features:
      - name: sectionText
        dtype: string
      - name: correctTitle
        dtype: string
      - name: titleA
        dtype: string
      - name: titleB
        dtype: string
      - name: titleC
        dtype: string
      - name: titleD
        dtype: string
      - name: url
        dtype: string
    splits:
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      - name: validation
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        num_examples: 4422
      - name: test
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        num_examples: 4423
    download_size: 67719504
    dataset_size: 175637126
  - config_name: wstp.ml
    features:
      - name: sectionText
        dtype: string
      - name: correctTitle
        dtype: string
      - name: titleA
        dtype: string
      - name: titleB
        dtype: string
      - name: titleC
        dtype: string
      - name: titleD
        dtype: string
      - name: url
        dtype: string
    splits:
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      - name: validation
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        num_examples: 3441
      - name: test
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        num_examples: 3441
    download_size: 42336357
    dataset_size: 110704758
  - config_name: wstp.mr
    features:
      - name: sectionText
        dtype: string
      - name: correctTitle
        dtype: string
      - name: titleA
        dtype: string
      - name: titleB
        dtype: string
      - name: titleC
        dtype: string
      - name: titleD
        dtype: string
      - name: url
        dtype: string
    splits:
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      - name: validation
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        num_examples: 1306
      - name: test
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        num_examples: 1306
    download_size: 13886208
    dataset_size: 35262823
  - config_name: wstp.or
    features:
      - name: sectionText
        dtype: string
      - name: correctTitle
        dtype: string
      - name: titleA
        dtype: string
      - name: titleB
        dtype: string
      - name: titleC
        dtype: string
      - name: titleD
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      - name: url
        dtype: string
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      - name: validation
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      - name: test
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        num_examples: 502
    download_size: 5319128
    dataset_size: 13509593
  - config_name: wstp.pa
    features:
      - name: sectionText
        dtype: string
      - name: correctTitle
        dtype: string
      - name: titleA
        dtype: string
      - name: titleB
        dtype: string
      - name: titleC
        dtype: string
      - name: titleD
        dtype: string
      - name: url
        dtype: string
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      - name: validation
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      - name: test
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        num_examples: 1097
    download_size: 11201369
    dataset_size: 27664683
  - config_name: wstp.ta
    features:
      - name: sectionText
        dtype: string
      - name: correctTitle
        dtype: string
      - name: titleA
        dtype: string
      - name: titleB
        dtype: string
      - name: titleC
        dtype: string
      - name: titleD
        dtype: string
      - name: url
        dtype: string
    splits:
      - name: train
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      - name: validation
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        num_examples: 6117
      - name: test
        num_bytes: 18815071
        num_examples: 6118
    download_size: 68699092
    dataset_size: 189561456
  - config_name: wstp.te
    features:
      - name: sectionText
        dtype: string
      - name: correctTitle
        dtype: string
      - name: titleA
        dtype: string
      - name: titleB
        dtype: string
      - name: titleC
        dtype: string
      - name: titleD
        dtype: string
      - name: url
        dtype: string
    splits:
      - name: train
        num_bytes: 151696691
        num_examples: 80000
      - name: validation
        num_bytes: 19003169
        num_examples: 10000
      - name: test
        num_bytes: 18991913
        num_examples: 10000
    download_size: 50158580
    dataset_size: 189691773
configs:
  - config_name: copa.en
    data_files:
      - split: train
        path: copa.en/train-*
      - split: validation
        path: copa.en/validation-*
      - split: test
        path: copa.en/test-*
  - config_name: copa.gu
    data_files:
      - split: train
        path: copa.gu/train-*
      - split: validation
        path: copa.gu/validation-*
      - split: test
        path: copa.gu/test-*
  - config_name: copa.hi
    data_files:
      - split: train
        path: copa.hi/train-*
      - split: validation
        path: copa.hi/validation-*
      - split: test
        path: copa.hi/test-*
  - config_name: copa.mr
    data_files:
      - split: train
        path: copa.mr/train-*
      - split: validation
        path: copa.mr/validation-*
      - split: test
        path: copa.mr/test-*
  - config_name: csqa.as
    data_files:
      - split: test
        path: csqa.as/test-*
  - config_name: csqa.bn
    data_files:
      - split: test
        path: csqa.bn/test-*
  - config_name: csqa.gu
    data_files:
      - split: test
        path: csqa.gu/test-*
  - config_name: csqa.hi
    data_files:
      - split: test
        path: csqa.hi/test-*
  - config_name: csqa.kn
    data_files:
      - split: test
        path: csqa.kn/test-*
  - config_name: csqa.ml
    data_files:
      - split: test
        path: csqa.ml/test-*
  - config_name: csqa.mr
    data_files:
      - split: test
        path: csqa.mr/test-*
  - config_name: csqa.or
    data_files:
      - split: test
        path: csqa.or/test-*
  - config_name: csqa.pa
    data_files:
      - split: test
        path: csqa.pa/test-*
  - config_name: csqa.ta
    data_files:
      - split: test
        path: csqa.ta/test-*
  - config_name: csqa.te
    data_files:
      - split: test
        path: csqa.te/test-*
  - config_name: sna.bn
    data_files:
      - split: train
        path: sna.bn/train-*
      - split: validation
        path: sna.bn/validation-*
      - split: test
        path: sna.bn/test-*
  - config_name: wnli.en
    data_files:
      - split: train
        path: wnli.en/train-*
      - split: validation
        path: wnli.en/validation-*
      - split: test
        path: wnli.en/test-*
  - config_name: wnli.gu
    data_files:
      - split: train
        path: wnli.gu/train-*
      - split: validation
        path: wnli.gu/validation-*
      - split: test
        path: wnli.gu/test-*
  - config_name: wnli.hi
    data_files:
      - split: train
        path: wnli.hi/train-*
      - split: validation
        path: wnli.hi/validation-*
      - split: test
        path: wnli.hi/test-*
  - config_name: wnli.mr
    data_files:
      - split: train
        path: wnli.mr/train-*
      - split: validation
        path: wnli.mr/validation-*
      - split: test
        path: wnli.mr/test-*
  - config_name: wstp.as
    data_files:
      - split: train
        path: wstp.as/train-*
      - split: validation
        path: wstp.as/validation-*
      - split: test
        path: wstp.as/test-*
  - config_name: wstp.bn
    data_files:
      - split: train
        path: wstp.bn/train-*
      - split: validation
        path: wstp.bn/validation-*
      - split: test
        path: wstp.bn/test-*
  - config_name: wstp.gu
    data_files:
      - split: train
        path: wstp.gu/train-*
      - split: validation
        path: wstp.gu/validation-*
      - split: test
        path: wstp.gu/test-*
  - config_name: wstp.hi
    data_files:
      - split: train
        path: wstp.hi/train-*
      - split: validation
        path: wstp.hi/validation-*
      - split: test
        path: wstp.hi/test-*
  - config_name: wstp.kn
    data_files:
      - split: train
        path: wstp.kn/train-*
      - split: validation
        path: wstp.kn/validation-*
      - split: test
        path: wstp.kn/test-*
  - config_name: wstp.ml
    data_files:
      - split: train
        path: wstp.ml/train-*
      - split: validation
        path: wstp.ml/validation-*
      - split: test
        path: wstp.ml/test-*
  - config_name: wstp.mr
    data_files:
      - split: train
        path: wstp.mr/train-*
      - split: validation
        path: wstp.mr/validation-*
      - split: test
        path: wstp.mr/test-*
  - config_name: wstp.or
    data_files:
      - split: train
        path: wstp.or/train-*
      - split: validation
        path: wstp.or/validation-*
      - split: test
        path: wstp.or/test-*
  - config_name: wstp.pa
    data_files:
      - split: train
        path: wstp.pa/train-*
      - split: validation
        path: wstp.pa/validation-*
      - split: test
        path: wstp.pa/test-*
  - config_name: wstp.ta
    data_files:
      - split: train
        path: wstp.ta/train-*
      - split: validation
        path: wstp.ta/validation-*
      - split: test
        path: wstp.ta/test-*
  - config_name: wstp.te
    data_files:
      - split: train
        path: wstp.te/train-*
      - split: validation
        path: wstp.te/validation-*
      - split: test
        path: wstp.te/test-*

Dataset Card for "indic_glue"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://ai4bharat.iitm.ac.in/indic-glue
• Repository: More Information Needed
• Paper: IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 3.51 GB
• Size of the generated dataset: 1.65 GB
• Total amount of disk used: 5.16 GB

Dataset Summary

IndicGLUE is a natural language understanding benchmark for Indian languages. It contains a wide variety of tasks and covers 11 major Indian languages - as, bn, gu, hi, kn, ml, mr, or, pa, ta, te.

The Winograd Schema Challenge (Levesque et al., 2011) is a reading comprehension task in which a system must read a sentence with a pronoun and select the referent of that pronoun from a list of choices. The examples are manually constructed to foil simple statistical methods: Each one is contingent on contextual information provided by a single word or phrase in the sentence. To convert the problem into sentence pair classification, we construct sentence pairs by replacing the ambiguous pronoun with each possible referent. The task is to predict if the sentence with the pronoun substituted is entailed by the original sentence. We use a small evaluation set consisting of new examples derived from fiction books that was shared privately by the authors of the original corpus. While the included training set is balanced between two classes, the test set is imbalanced between them (65% not entailment). Also, due to a data quirk, the development set is adversarial: hypotheses are sometimes shared between training and development examples, so if a model memorizes the training examples, they will predict the wrong label on corresponding development set example. As with QNLI, each example is evaluated separately, so there is not a systematic correspondence between a model's score on this task and its score on the unconverted original task. We call converted dataset WNLI (Winograd NLI). This dataset is translated and publicly released for 3 Indian languages by AI4Bharat.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

actsa-sc.te

• Size of downloaded dataset files: 0.38 MB
• Size of the generated dataset: 1.71 MB
• Total amount of disk used: 2.09 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "label": 0,
    "text": "\"ప్రయాణాల్లో ఉన్నవారికోసం బస్ స్టేషన్లు, రైల్వే స్టేషన్లలో పల్స్పోలియో బూతులను ఏర్పాటు చేసి చిన్నారులకు పోలియో చుక్కలు వేసేలా ఏర..."
}

bbca.hi

• Size of downloaded dataset files: 5.77 MB
• Size of the generated dataset: 27.63 MB
• Total amount of disk used: 33.40 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "label": "pakistan",
    "text": "\"नेटिजन यानि इंटरनेट पर सक्रिय नागरिक अब ट्विटर पर सरकार द्वारा लगाए प्रतिबंधों के समर्थन या विरोध में अपने विचार व्यक्त करते है..."
}

copa.en

• Size of downloaded dataset files: 0.75 MB
• Size of the generated dataset: 0.12 MB
• Total amount of disk used: 0.87 MB

An example of 'validation' looks as follows.

{
    "choice1": "I swept the floor in the unoccupied room.",
    "choice2": "I shut off the light in the unoccupied room.",
    "label": 1,
    "premise": "I wanted to conserve energy.",
    "question": "effect"
}

copa.gu

• Size of downloaded dataset files: 0.75 MB
• Size of the generated dataset: 0.23 MB
• Total amount of disk used: 0.99 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "choice1": "\"સ્ત્રી જાણતી હતી કે તેનો મિત્ર મુશ્કેલ સમયમાંથી પસાર થઈ રહ્યો છે.\"...",
    "choice2": "\"મહિલાને લાગ્યું કે તેના મિત્રએ તેની દયાળુ લાભ લીધો છે.\"...",
    "label": 0,
    "premise": "મહિલાએ તેના મિત્રની મુશ્કેલ વર્તન સહન કરી.",
    "question": "cause"
}

copa.hi

• Size of downloaded dataset files: 0.75 MB
• Size of the generated dataset: 0.23 MB
• Total amount of disk used: 0.99 MB

An example of 'validation' looks as follows.

{
    "choice1": "मैंने उसका प्रस्ताव ठुकरा दिया।",
    "choice2": "उन्होंने मुझे उत्पाद खरीदने के लिए राजी किया।",
    "label": 0,
    "premise": "मैंने सेल्समैन की पिच पर शक किया।",
    "question": "effect"
}

Data Fields

The data fields are the same among all splits.

actsa-sc.te

• text: a string feature.
• label: a classification label, with possible values including positive (0), negative (1).

bbca.hi

• label: a string feature.
• text: a string feature.

copa.en

• premise: a string feature.
• choice1: a string feature.
• choice2: a string feature.
• question: a string feature.
• label: a int32 feature.

copa.gu

• premise: a string feature.
• choice1: a string feature.
• choice2: a string feature.
• question: a string feature.
• label: a int32 feature.

copa.hi

• premise: a string feature.
• choice1: a string feature.
• choice2: a string feature.
• question: a string feature.
• label: a int32 feature.

Data Splits

actsa-sc.te

	train	validation	test
actsa-sc.te	4328	541	541

bbca.hi

	train	test
bbca.hi	3467	866

copa.en

	train	validation	test
copa.en	400	100	500

copa.gu

	train	validation	test
copa.gu	362	88	448

copa.hi

	train	validation	test
copa.hi	362	88	449

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

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Citation Information

@inproceedings{kakwani-etal-2020-indicnlpsuite,
    title = "{I}ndic{NLPS}uite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for {I}ndian Languages",
    author = "Kakwani, Divyanshu  and
      Kunchukuttan, Anoop  and
      Golla, Satish  and
      N.C., Gokul  and
      Bhattacharyya, Avik  and
      Khapra, Mitesh M.  and
      Kumar, Pratyush",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.findings-emnlp.445",
    doi = "10.18653/v1/2020.findings-emnlp.445",
    pages = "4948--4961",
}

@inproceedings{Levesque2011TheWS,
title={The Winograd Schema Challenge},
author={H. Levesque and E. Davis and L. Morgenstern},
booktitle={KR},
year={2011}
}

Contributions

Thanks to @sumanthd17 for adding this dataset.