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metadata
annotations_creators:
  - crowdsourced
language_creators:
  - machine-generated
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
paperswithcode_id: triviaqa
pretty_name: TriviaQA
size_categories:
  - 10K<n<100K
  - 100K<n<1M
source_datasets:
  - original
task_categories:
  - question-answering
  - text2text-generation
task_ids:
  - open-domain-qa
  - open-domain-abstractive-qa
  - extractive-qa
  - abstractive-qa
dataset_info:
  - config_name: rc
    features:
      - name: question
        dtype: string
      - name: question_id
        dtype: string
      - name: question_source
        dtype: string
      - name: entity_pages
        sequence:
          - name: doc_source
            dtype: string
          - name: filename
            dtype: string
          - name: title
            dtype: string
          - name: wiki_context
            dtype: string
      - name: search_results
        sequence:
          - name: description
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          - name: filename
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          - name: rank
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          - name: title
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          - name: url
            dtype: string
          - name: search_context
            dtype: string
      - name: answer
        struct:
          - name: aliases
            sequence: string
          - name: normalized_aliases
            sequence: string
          - name: matched_wiki_entity_name
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          - name: normalized_matched_wiki_entity_name
            dtype: string
          - name: normalized_value
            dtype: string
          - name: type
            dtype: string
          - name: value
            dtype: string
    splits:
      - name: test
        num_bytes: 1577710751
        num_examples: 17210
      - name: train
        num_bytes: 12749652867
        num_examples: 138384
      - name: validation
        num_bytes: 1662321436
        num_examples: 17944
    download_size: 2665779500
    dataset_size: 15989685054
  - config_name: rc.nocontext
    features:
      - name: question
        dtype: string
      - name: question_id
        dtype: string
      - name: question_source
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      - name: entity_pages
        sequence:
          - name: doc_source
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          - name: filename
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          - name: title
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          - name: wiki_context
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      - name: search_results
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          - name: filename
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          - name: rank
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          - name: title
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          - name: search_context
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      - name: answer
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          - name: normalized_aliases
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          - name: matched_wiki_entity_name
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          - name: normalized_value
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          - name: type
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          - name: value
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      - name: train
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        num_examples: 138384
      - name: validation
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        num_examples: 17944
    download_size: 2665779500
    dataset_size: 124612695
  - config_name: unfiltered
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      - name: question_id
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          - name: normalized_value
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          - name: value
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      - name: train
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        num_examples: 87622
      - name: validation
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        num_examples: 11313
    download_size: 3298328560
    dataset_size: 30964883098
  - config_name: unfiltered.nocontext
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      - name: question
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      - name: question_id
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      - name: entity_pages
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          - name: normalized_aliases
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          - name: normalized_value
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      - name: train
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      - name: validation
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        num_examples: 11313
    download_size: 632549060
    dataset_size: 73919368
  - config_name: rc.web
    features:
      - name: question
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      - name: question_id
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      - name: question_source
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      - name: entity_pages
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          - name: normalized_aliases
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          - name: matched_wiki_entity_name
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          - name: normalized_matched_wiki_entity_name
            dtype: string
          - name: normalized_value
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          - name: value
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      - name: train
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        num_examples: 76496
      - name: validation
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        num_examples: 9951
    download_size: 2665779500
    dataset_size: 11812671516
  - config_name: rc.web.nocontext
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      - name: question
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      - name: question_id
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      - name: question_source
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      - name: entity_pages
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          - name: wiki_context
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      - name: search_results
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          - name: rank
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          - name: url
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          - name: normalized_aliases
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          - name: matched_wiki_entity_name
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          - name: normalized_matched_wiki_entity_name
            dtype: string
          - name: normalized_value
            dtype: string
          - name: type
            dtype: string
          - name: value
            dtype: string
    splits:
      - name: test
        num_bytes: 2024871
        num_examples: 9509
      - name: train
        num_bytes: 58524077
        num_examples: 76496
      - name: validation
        num_bytes: 7694681
        num_examples: 9951
    download_size: 2665779500
    dataset_size: 68243629
  - config_name: unfiltered.web
    features:
      - name: question
        dtype: string
      - name: question_id
        dtype: string
      - name: question_source
        dtype: string
      - name: entity_pages
        sequence:
          - name: doc_source
            dtype: string
          - name: filename
            dtype: string
          - name: title
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          - name: wiki_context
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      - name: search_results
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          - name: description
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          - name: filename
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          - name: rank
            dtype: int32
          - name: title
            dtype: string
          - name: url
            dtype: string
          - name: search_context
            dtype: string
      - name: answer
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          - name: aliases
            sequence: string
          - name: normalized_aliases
            sequence: string
          - name: matched_wiki_entity_name
            dtype: string
          - name: normalized_matched_wiki_entity_name
            dtype: string
          - name: normalized_value
            dtype: string
          - name: type
            dtype: string
          - name: value
            dtype: string
    splits:
      - name: test
      - name: train
      - name: validation
    download_size: 3298328560
    dataset_size: 0
  - config_name: unfiltered.web.nocontext
    features:
      - name: question
        dtype: string
      - name: question_id
        dtype: string
      - name: question_source
        dtype: string
      - name: entity_pages
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          - name: doc_source
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          - name: title
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          - name: search_context
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          - name: normalized_aliases
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          - name: matched_wiki_entity_name
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            dtype: string
          - name: normalized_value
            dtype: string
          - name: type
            dtype: string
          - name: value
            dtype: string
    splits:
      - name: test
      - name: train
      - name: validation
    download_size: 632549060
    dataset_size: 0
  - config_name: rc.wikipedia
    features:
      - name: question
        dtype: string
      - name: question_id
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      - name: question_source
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      - name: entity_pages
        sequence:
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          - name: title
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      - name: search_results
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          - name: normalized_aliases
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          - name: matched_wiki_entity_name
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          - name: normalized_matched_wiki_entity_name
            dtype: string
          - name: normalized_value
            dtype: string
          - name: type
            dtype: string
          - name: value
            dtype: string
    splits:
      - name: test
        num_bytes: 406046628
        num_examples: 7701
      - name: train
        num_bytes: 3340800860
        num_examples: 61888
      - name: validation
        num_bytes: 430166174
        num_examples: 7993
    download_size: 2665779500
    dataset_size: 4177013662
  - config_name: rc.wikipedia.nocontext
    features:
      - name: question
        dtype: string
      - name: question_id
        dtype: string
      - name: question_source
        dtype: string
      - name: entity_pages
        sequence:
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          - name: matched_wiki_entity_name
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          - name: normalized_value
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          - name: type
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    splits:
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        num_examples: 7701
      - name: train
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        num_examples: 61888
      - name: validation
        num_bytes: 6365397
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    download_size: 2665779500
    dataset_size: 56369190
  - config_name: unfiltered.wikipedia
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      - name: question
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      - name: question_id
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      - name: question_source
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      - name: entity_pages
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          - name: matched_wiki_entity_name
            dtype: string
          - name: normalized_matched_wiki_entity_name
            dtype: string
          - name: normalized_value
            dtype: string
          - name: type
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          - name: value
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  - config_name: unfiltered.wikipedia.nocontext
    features:
      - name: question
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      - name: question_id
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      - name: question_source
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      - name: entity_pages
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    download_size: 632549060
    dataset_size: 0

Dataset Card for "trivia_qa"

Table of Contents

Dataset Description

Dataset Summary

TriviaqQA is a reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaqQA includes 95K question-answer pairs authored by trivia enthusiasts and independently gathered evidence documents, six per question on average, that provide high quality distant supervision for answering the questions.

Supported Tasks and Leaderboards

More Information Needed

Languages

English.

Dataset Structure

Data Instances

rc

  • Size of downloaded dataset files: 2542.29 MB
  • Size of the generated dataset: 15275.31 MB
  • Total amount of disk used: 17817.60 MB

An example of 'train' looks as follows.


rc.nocontext

  • Size of downloaded dataset files: 2542.29 MB
  • Size of the generated dataset: 120.42 MB
  • Total amount of disk used: 2662.71 MB

An example of 'train' looks as follows.


unfiltered

  • Size of downloaded dataset files: 3145.53 MB
  • Size of the generated dataset: 27884.47 MB
  • Total amount of disk used: 31030.00 MB

An example of 'validation' looks as follows.


unfiltered.nocontext

  • Size of downloaded dataset files: 603.25 MB
  • Size of the generated dataset: 71.11 MB
  • Total amount of disk used: 674.35 MB

An example of 'train' looks as follows.


Data Fields

The data fields are the same among all splits.

rc

  • question: a string feature.
  • question_id: a string feature.
  • question_source: a string feature.
  • entity_pages: a dictionary feature containing:
    • doc_source: a string feature.
    • filename: a string feature.
    • title: a string feature.
    • wiki_context: a string feature.
  • search_results: a dictionary feature containing:
    • description: a string feature.
    • filename: a string feature.
    • rank: a int32 feature.
    • title: a string feature.
    • url: a string feature.
    • search_context: a string feature.
  • aliases: a list of string features.
  • normalized_aliases: a list of string features.
  • matched_wiki_entity_name: a string feature.
  • normalized_matched_wiki_entity_name: a string feature.
  • normalized_value: a string feature.
  • type: a string feature.
  • value: a string feature.

rc.nocontext

  • question: a string feature.
  • question_id: a string feature.
  • question_source: a string feature.
  • entity_pages: a dictionary feature containing:
    • doc_source: a string feature.
    • filename: a string feature.
    • title: a string feature.
    • wiki_context: a string feature.
  • search_results: a dictionary feature containing:
    • description: a string feature.
    • filename: a string feature.
    • rank: a int32 feature.
    • title: a string feature.
    • url: a string feature.
    • search_context: a string feature.
  • aliases: a list of string features.
  • normalized_aliases: a list of string features.
  • matched_wiki_entity_name: a string feature.
  • normalized_matched_wiki_entity_name: a string feature.
  • normalized_value: a string feature.
  • type: a string feature.
  • value: a string feature.

unfiltered

  • question: a string feature.
  • question_id: a string feature.
  • question_source: a string feature.
  • entity_pages: a dictionary feature containing:
    • doc_source: a string feature.
    • filename: a string feature.
    • title: a string feature.
    • wiki_context: a string feature.
  • search_results: a dictionary feature containing:
    • description: a string feature.
    • filename: a string feature.
    • rank: a int32 feature.
    • title: a string feature.
    • url: a string feature.
    • search_context: a string feature.
  • aliases: a list of string features.
  • normalized_aliases: a list of string features.
  • matched_wiki_entity_name: a string feature.
  • normalized_matched_wiki_entity_name: a string feature.
  • normalized_value: a string feature.
  • type: a string feature.
  • value: a string feature.

unfiltered.nocontext

  • question: a string feature.
  • question_id: a string feature.
  • question_source: a string feature.
  • entity_pages: a dictionary feature containing:
    • doc_source: a string feature.
    • filename: a string feature.
    • title: a string feature.
    • wiki_context: a string feature.
  • search_results: a dictionary feature containing:
    • description: a string feature.
    • filename: a string feature.
    • rank: a int32 feature.
    • title: a string feature.
    • url: a string feature.
    • search_context: a string feature.
  • aliases: a list of string features.
  • normalized_aliases: a list of string features.
  • matched_wiki_entity_name: a string feature.
  • normalized_matched_wiki_entity_name: a string feature.
  • normalized_value: a string feature.
  • type: a string feature.
  • value: a string feature.

Data Splits

name train validation test
rc 138384 18669 17210
rc.nocontext 138384 18669 17210
unfiltered 87622 11313 10832
unfiltered.nocontext 87622 11313 10832

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

Dataset Curators

More Information Needed

Licensing Information

The University of Washington does not own the copyright of the questions and documents included in TriviaQA.

Citation Information


@article{2017arXivtriviaqa,
       author = {{Joshi}, Mandar and {Choi}, Eunsol and {Weld},
                 Daniel and {Zettlemoyer}, Luke},
        title = "{triviaqa: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension}",
      journal = {arXiv e-prints},
         year = 2017,
          eid = {arXiv:1705.03551},
        pages = {arXiv:1705.03551},
archivePrefix = {arXiv},
       eprint = {1705.03551},
}

Contributions

Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.