Datasets:

mandarjoshi
/

trivia_qa

	---
	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:
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	---

	# Dataset Card for "trivia_qa"

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: [http://nlp.cs.washington.edu/triviaqa/](http://nlp.cs.washington.edu/triviaqa/)
	- Repository: [https://github.com/mandarjoshi90/triviaqa](https://github.com/mandarjoshi90/triviaqa)
	- Paper: [TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension](https://arxiv.org/abs/1705.03551)
	- Leaderboard: [CodaLab Leaderboard](https://competitions.codalab.org/competitions/17208#results)
	- Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
	- Size of downloaded dataset files: 8833.35 MB
	- Size of the generated dataset: 43351.32 MB
	- Total amount of disk used: 52184.66 MB

	### 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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### 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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the source language producers?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Annotations

	#### Annotation process

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the annotators?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Personal and Sensitive Information

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Discussion of Biases

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Other Known Limitations

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Additional Information

	### Dataset Curators

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### 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](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset.