|
--- |
|
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 |
|
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|
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num_bytes: 1577710751 |
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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) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** [http://nlp.cs.washington.edu/triviaqa/](http://nlp.cs.washington.edu/triviaqa/) |
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- **Repository:** [https://github.com/mandarjoshi90/triviaqa](https://github.com/mandarjoshi90/triviaqa) |
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- **Paper:** [TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension](https://arxiv.org/abs/1705.03551) |
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- **Leaderboard:** [CodaLab Leaderboard](https://competitions.codalab.org/competitions/17208#results) |
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Size of downloaded dataset files:** 8833.35 MB |
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- **Size of the generated dataset:** 43351.32 MB |
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- **Total amount of disk used:** 52184.66 MB |
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### Dataset Summary |
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TriviaqQA is a reading comprehension dataset containing over 650K |
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question-answer-evidence triples. TriviaqQA includes 95K question-answer |
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pairs authored by trivia enthusiasts and independently gathered evidence |
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documents, six per question on average, that provide high quality distant |
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supervision for answering the questions. |
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### Supported Tasks and Leaderboards |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Languages |
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English. |
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## Dataset Structure |
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### Data Instances |
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#### rc |
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- **Size of downloaded dataset files:** 2542.29 MB |
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- **Size of the generated dataset:** 15275.31 MB |
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- **Total amount of disk used:** 17817.60 MB |
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An example of 'train' looks as follows. |
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``` |
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``` |
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#### rc.nocontext |
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- **Size of downloaded dataset files:** 2542.29 MB |
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- **Size of the generated dataset:** 120.42 MB |
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- **Total amount of disk used:** 2662.71 MB |
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An example of 'train' looks as follows. |
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``` |
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``` |
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#### unfiltered |
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- **Size of downloaded dataset files:** 3145.53 MB |
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- **Size of the generated dataset:** 27884.47 MB |
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- **Total amount of disk used:** 31030.00 MB |
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An example of 'validation' looks as follows. |
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``` |
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``` |
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#### unfiltered.nocontext |
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- **Size of downloaded dataset files:** 603.25 MB |
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- **Size of the generated dataset:** 71.11 MB |
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- **Total amount of disk used:** 674.35 MB |
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An example of 'train' looks as follows. |
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``` |
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``` |
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### Data Fields |
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The data fields are the same among all splits. |
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#### rc |
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- `question`: a `string` feature. |
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- `question_id`: a `string` feature. |
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- `question_source`: a `string` feature. |
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- `entity_pages`: a dictionary feature containing: |
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- `doc_source`: a `string` feature. |
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- `filename`: a `string` feature. |
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- `title`: a `string` feature. |
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- `wiki_context`: a `string` feature. |
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- `search_results`: a dictionary feature containing: |
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- `description`: a `string` feature. |
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- `filename`: a `string` feature. |
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- `rank`: a `int32` feature. |
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- `title`: a `string` feature. |
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- `url`: a `string` feature. |
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- `search_context`: a `string` feature. |
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- `aliases`: a `list` of `string` features. |
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- `normalized_aliases`: a `list` of `string` features. |
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- `matched_wiki_entity_name`: a `string` feature. |
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- `normalized_matched_wiki_entity_name`: a `string` feature. |
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- `normalized_value`: a `string` feature. |
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- `type`: a `string` feature. |
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- `value`: a `string` feature. |
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#### rc.nocontext |
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- `question`: a `string` feature. |
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- `question_id`: a `string` feature. |
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- `question_source`: a `string` feature. |
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- `entity_pages`: a dictionary feature containing: |
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- `doc_source`: a `string` feature. |
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- `filename`: a `string` feature. |
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- `title`: a `string` feature. |
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- `wiki_context`: a `string` feature. |
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- `search_results`: a dictionary feature containing: |
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- `description`: a `string` feature. |
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- `filename`: a `string` feature. |
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- `rank`: a `int32` feature. |
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- `title`: a `string` feature. |
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- `url`: a `string` feature. |
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- `search_context`: a `string` feature. |
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- `aliases`: a `list` of `string` features. |
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- `normalized_aliases`: a `list` of `string` features. |
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- `matched_wiki_entity_name`: a `string` feature. |
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- `normalized_matched_wiki_entity_name`: a `string` feature. |
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- `normalized_value`: a `string` feature. |
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- `type`: a `string` feature. |
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- `value`: a `string` feature. |
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#### unfiltered |
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- `question`: a `string` feature. |
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- `question_id`: a `string` feature. |
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- `question_source`: a `string` feature. |
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- `entity_pages`: a dictionary feature containing: |
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- `doc_source`: a `string` feature. |
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- `filename`: a `string` feature. |
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- `title`: a `string` feature. |
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- `wiki_context`: a `string` feature. |
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- `search_results`: a dictionary feature containing: |
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- `description`: a `string` feature. |
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- `filename`: a `string` feature. |
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- `rank`: a `int32` feature. |
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- `title`: a `string` feature. |
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- `url`: a `string` feature. |
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- `search_context`: a `string` feature. |
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- `aliases`: a `list` of `string` features. |
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- `normalized_aliases`: a `list` of `string` features. |
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- `matched_wiki_entity_name`: a `string` feature. |
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- `normalized_matched_wiki_entity_name`: a `string` feature. |
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- `normalized_value`: a `string` feature. |
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- `type`: a `string` feature. |
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- `value`: a `string` feature. |
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#### unfiltered.nocontext |
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- `question`: a `string` feature. |
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- `question_id`: a `string` feature. |
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- `question_source`: a `string` feature. |
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- `entity_pages`: a dictionary feature containing: |
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- `doc_source`: a `string` feature. |
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- `filename`: a `string` feature. |
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- `title`: a `string` feature. |
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- `wiki_context`: a `string` feature. |
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- `search_results`: a dictionary feature containing: |
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- `description`: a `string` feature. |
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- `filename`: a `string` feature. |
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- `rank`: a `int32` feature. |
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- `title`: a `string` feature. |
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- `url`: a `string` feature. |
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- `search_context`: a `string` feature. |
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- `aliases`: a `list` of `string` features. |
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- `normalized_aliases`: a `list` of `string` features. |
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- `matched_wiki_entity_name`: a `string` feature. |
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- `normalized_matched_wiki_entity_name`: a `string` feature. |
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- `normalized_value`: a `string` feature. |
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- `type`: a `string` feature. |
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- `value`: a `string` feature. |
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### Data Splits |
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| name |train |validation|test | |
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|--------------------|-----:|---------:|----:| |
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|rc |138384| 18669|17210| |
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|rc.nocontext |138384| 18669|17210| |
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|unfiltered | 87622| 11313|10832| |
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|unfiltered.nocontext| 87622| 11313|10832| |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the source language producers? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Annotations |
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#### Annotation process |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the annotators? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Personal and Sensitive Information |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Discussion of Biases |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Other Known Limitations |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Licensing Information |
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The University of Washington does not own the copyright of the questions and documents included in TriviaQA. |
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### Citation Information |
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``` |
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@article{2017arXivtriviaqa, |
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author = {{Joshi}, Mandar and {Choi}, Eunsol and {Weld}, |
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Daniel and {Zettlemoyer}, Luke}, |
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title = "{triviaqa: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension}", |
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journal = {arXiv e-prints}, |
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year = 2017, |
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eid = {arXiv:1705.03551}, |
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pages = {arXiv:1705.03551}, |
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archivePrefix = {arXiv}, |
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eprint = {1705.03551}, |
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} |
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``` |
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### Contributions |
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Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset. |
