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Datasets:
trivia_qa

Tasks:
Question Answering
Text2Text Generation
Sub-tasks: open-domain-qa open-domain-abstractive-qa extractive-qa
Languages: English
Multilinguality: monolingual
Size Categories: 10K<n<100K 100K<n<1M
Language Creators: machine-generated
Annotations Creators: crowdsourced
Source Datasets: original
ArXiv:
License: unknown
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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    NotImplementedError
Message:      Extraction protocol for TAR archives like 'http://nlp.cs.washington.edu/triviaqa/data/triviaqa-rc.tar.gz' is not implemented in streaming mode. Please use `dl_manager.iter_archive` instead.

Example usage:

	url = dl_manager.download(url)
	tar_archive_iterator = dl_manager.iter_archive(url)

	for filename, file in tar_archive_iterator:
		...
Traceback:    Traceback (most recent call last):
                File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 485, in compute_first_rows_response
                  rows = get_rows(
                File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 120, in decorator
                  return func(*args, **kwargs)
                File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 164, in get_rows
                  ds = load_dataset(
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/load.py", line 1751, in load_dataset
                  return builder_instance.as_streaming_dataset(split=split)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1206, in as_streaming_dataset
                  splits_generators = {sg.name: sg for sg in self._split_generators(dl_manager)}
                File "/tmp/modules-cache/datasets_modules/datasets/trivia_qa/e73c5e47a8704744fa9ded33504b35a6c098661813d1c2a09892eb9b9e9d59ae/trivia_qa.py", line 207, in _split_generators
                  file_paths = dl_manager.download_and_extract(download_urls)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 1074, in download_and_extract
                  return self.extract(self.download(url_or_urls))
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 1026, in extract
                  urlpaths = map_nested(self._extract, url_or_urls, map_tuple=True)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 444, in map_nested
                  mapped = [
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 445, in <listcomp>
                  _single_map_nested((function, obj, types, None, True, None))
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 346, in _single_map_nested
                  return function(data_struct)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 1036, in _extract
                  raise NotImplementedError(
              NotImplementedError: Extraction protocol for TAR archives like 'http://nlp.cs.washington.edu/triviaqa/data/triviaqa-rc.tar.gz' is not implemented in streaming mode. Please use `dl_manager.iter_archive` instead.
              
              Example usage:
              
              	url = dl_manager.download(url)
              	tar_archive_iterator = dl_manager.iter_archive(url)
              
              	for filename, file in tar_archive_iterator:
              		...

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Dataset Card for "trivia_qa"

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.

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Homepage:
nlp.cs.washington.edu
Repository:
github.com
Paper:
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Leaderboard:
CodaLab Leaderboard
Size of downloaded dataset files:
8833.35 MB
Size of the generated dataset:
43351.32 MB
Total amount of disk used:
52184.66 MB

Models trained or fine-tuned on trivia_qa

Browse 19 models trained on this dataset