README.md

metadata

annotations_creators:
  - expert-generated
language:
  - pa
  - ta
  - te
  - as
  - bn
  - hi
  - or
  - ml
  - mr
  - kn
  - gu
language_creators:
  - found
license:
  - cc-by-4.0
multilinguality:
  - multilingual
pretty_name: IndicQA
size_categories:
  - n<1K
source_datasets:
  - original
task_categories:
  - question-answering
task_ids:
  - closed-domain-qa
configs:
  - config_name: indicqa.as
    data_files:
      - split: test
        path: indicqa.as/test-*
  - config_name: indicqa.bn
    data_files:
      - split: test
        path: indicqa.bn/test-*
  - config_name: indicqa.gu
    data_files:
      - split: test
        path: indicqa.gu/test-*
  - config_name: indicqa.hi
    data_files:
      - split: test
        path: indicqa.hi/test-*
  - config_name: indicqa.kn
    data_files:
      - split: test
        path: indicqa.kn/test-*
  - config_name: indicqa.ml
    data_files:
      - split: test
        path: indicqa.ml/test-*
  - config_name: indicqa.mr
    data_files:
      - split: test
        path: indicqa.mr/test-*
  - config_name: indicqa.or
    data_files:
      - split: test
        path: indicqa.or/test-*
  - config_name: indicqa.pa
    data_files:
      - split: test
        path: indicqa.pa/test-*
  - config_name: indicqa.ta
    data_files:
      - split: test
        path: indicqa.ta/test-*
dataset_info:
  - config_name: indicqa.as
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: test
        num_bytes: 7088629
        num_examples: 1789
    download_size: 531873
    dataset_size: 7088629
  - config_name: indicqa.bn
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: test
        num_bytes: 10823292
        num_examples: 1763
    download_size: 705431
    dataset_size: 10823292
  - config_name: indicqa.gu
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: test
        num_bytes: 5562543
        num_examples: 2017
    download_size: 446851
    dataset_size: 5562543
  - config_name: indicqa.hi
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: test
        num_bytes: 10672978
        num_examples: 1547
    download_size: 779170
    dataset_size: 10672978
  - config_name: indicqa.kn
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: test
        num_bytes: 4005605
        num_examples: 1517
    download_size: 382152
    dataset_size: 4005605
  - config_name: indicqa.ml
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: test
        num_bytes: 11532860
        num_examples: 1589
    download_size: 808944
    dataset_size: 11532860
  - config_name: indicqa.mr
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: test
        num_bytes: 7736596
        num_examples: 1604
    download_size: 590846
    dataset_size: 7736596
  - config_name: indicqa.or
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: test
        num_bytes: 4036028
        num_examples: 1680
    download_size: 368204
    dataset_size: 4036028
  - config_name: indicqa.pa
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: test
        num_bytes: 6117320
        num_examples: 1542
    download_size: 504985
    dataset_size: 6117320
  - config_name: indicqa.ta
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: test
        num_bytes: 11536309
        num_examples: 1804
    download_size: 700937
    dataset_size: 11536309

Dataset Card for [Dataset Name]

Description: The Indic QA dataset is designed for question answering tasks, with a focus on Indic languages. It contains questions paired with corresponding contexts and answers. The dataset aims to facilitate research and development in question answering systems for Indic languages.

Dataset Info:

Features:

• ID: Identifier for each data instance.
• Context: The passage or context providing information relevant to answering the question.
• Question: The question posed by the user.
• Answers: The possible answers to the question, provided as a sequence.

Languages:

• Assamese (as)
• Bengali (bn)
• Hindi (hi)
• Kannada (kn)
• Marathi (mr)
• Malayalam (ml)
• Punjabi (pa)
• Oriya (or)
• Tamil (ta)
• Telugu (te)

Thanks to @github-username for adding this dataset.