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---
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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- name: entity_pages
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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: answer
struct:
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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
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- name: normalized_value
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download_size: 2665779500
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struct:
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dataset_size: 0
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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. |