README.md

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
            dtype: string
          - name: rank
            dtype: int32
          - name: title
            dtype: string
          - 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
            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: train
        num_bytes: 12749652867
        num_examples: 138384
      - name: validation
        num_bytes: 1662321436
        num_examples: 17944
      - name: test
        num_bytes: 1577710751
        num_examples: 17210
    download_size: 2665779500
    dataset_size: 15989685054
  - config_name: rc.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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          - 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: url
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          - name: search_context
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      - name: answer
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          - name: aliases
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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: type
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          - name: value
            dtype: string
    splits:
      - name: train
        num_bytes: 106884466
        num_examples: 138384
      - name: validation
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        num_examples: 17944
      - name: test
        num_bytes: 3668151
        num_examples: 17210
    download_size: 2665779500
    dataset_size: 124612695
  - config_name: unfiltered
    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: 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: 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_matched_wiki_entity_name
            dtype: string
          - name: normalized_value
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          - name: type
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          - name: value
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        num_examples: 87622
      - name: validation
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        num_examples: 11313
      - name: test
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        num_examples: 10832
    download_size: 3298328560
    dataset_size: 30964883098
  - config_name: unfiltered.nocontext
    features:
      - name: question
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      - name: entity_pages
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      - name: search_results
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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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          - name: normalized_matched_wiki_entity_name
            dtype: string
          - name: normalized_value
            dtype: string
          - name: type
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          - name: value
            dtype: string
    splits:
      - name: train
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        num_examples: 87622
      - name: validation
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        num_examples: 11313
      - name: test
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        num_examples: 10832
    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: doc_source
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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: type
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          - name: value
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      - name: validation
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        num_examples: 9951
      - name: test
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        num_examples: 9509
    download_size: 2665779500
    dataset_size: 11812671516
  - config_name: rc.web.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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      - name: search_results
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          - name: search_context
            dtype: string
      - name: answer
        struct:
          - 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: train
        num_bytes: 58524077
        num_examples: 76496
      - name: validation
        num_bytes: 7694681
        num_examples: 9951
      - name: test
        num_bytes: 2024871
        num_examples: 9509
    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
        sequence:
          - name: description
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          - name: filename
            dtype: string
          - name: rank
            dtype: int32
          - name: title
            dtype: string
          - 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
            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: train
      - name: validation
      - name: test
    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
        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: title
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          - name: url
            dtype: string
          - name: search_context
            dtype: string
      - name: answer
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          - 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
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          - name: value
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    splits:
      - name: train
      - name: validation
      - name: test
    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:
          - 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_context
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          - 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
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    splits:
      - name: train
        num_bytes: 3340800860
        num_examples: 61888
      - name: validation
        num_bytes: 430166174
        num_examples: 7993
      - name: test
        num_bytes: 406046628
        num_examples: 7701
    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:
          - name: doc_source
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          - name: title
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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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        num_examples: 61888
      - name: validation
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        num_examples: 7993
      - name: test
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        num_examples: 7701
    download_size: 2665779500
    dataset_size: 56369190
  - config_name: unfiltered.wikipedia
    features:
      - name: question
        dtype: string
      - name: question_id
        dtype: string
      - name: question_source
        dtype: string
      - name: entity_pages
        sequence:
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          - name: filename
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          - name: title
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          - name: search_context
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          - 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: train
      - name: validation
      - name: test
    download_size: 3298328560
    dataset_size: 0
  - config_name: unfiltered.wikipedia.nocontext
    features:
      - name: question
        dtype: string
      - name: question_id
        dtype: string
      - name: question_source
        dtype: string
      - name: entity_pages
        sequence:
          - name: doc_source
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          - name: filename
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          - name: title
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          - name: url
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          - name: search_context
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          - 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
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          - name: type
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    splits:
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    download_size: 632549060
    dataset_size: 0

Dataset Card for "trivia_qa"

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: http://nlp.cs.washington.edu/triviaqa/
• Repository: https://github.com/mandarjoshi90/triviaqa
• Paper: TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
• Leaderboard: CodaLab Leaderboard
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 9.26 GB
• Size of the generated dataset: 45.46 GB
• Total amount of disk used: 54.72 GB

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: 2.67 GB
• Size of the generated dataset: 16.02 GB
• Total amount of disk used: 18.68 GB

An example of 'train' looks as follows.

rc.nocontext

• Size of downloaded dataset files: 2.67 GB
• Size of the generated dataset: 126.27 MB
• Total amount of disk used: 2.79 GB

An example of 'train' looks as follows.

unfiltered

• Size of downloaded dataset files: 3.30 GB
• Size of the generated dataset: 29.24 GB
• Total amount of disk used: 32.54 GB

An example of 'validation' looks as follows.

unfiltered.nocontext

• Size of downloaded dataset files: 632.55 MB
• Size of the generated dataset: 74.56 MB
• Total amount of disk used: 707.11 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.