task_categories:question-answering task_categories:text2text-generation task_ids:open-domain-qa task_ids:open-domain-abstractive-qa task_ids:extractive-qa task_ids:abstractive-qa annotations_creators:crowdsourced language_creators:machine-generated multilinguality:monolingual size_categories:10K<n<100K size_categories:100K<n<1M source_datasets:original language:en license:unknown arxiv:1705.03551 region:us
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.
@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},
}
---
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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  download_size: 2665779500
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  download_size: 632549060
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- config_name: rc.web.nocontext
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    num_examples: 9951
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    num_examples: 9509
  download_size: 2665779500
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  splits:
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  dataset_size: 0
- config_name: unfiltered.web.nocontext
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  - name: question
    dtype: string
  - name: question_id
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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:** 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](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:** 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](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.