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squad/README.md
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name: SQuAD
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---
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# Dataset Card for SQuAD
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## Table of Contents
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- [Dataset Card for "squad"](#dataset-card-for-squad)
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [plain_text](#plain_text)
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- [Data Fields](#data-fields)
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- [plain_text](#plain_text-1)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
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- [Who are the source language producers?](#who-are-the-source-language-producers)
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- [Annotations](#annotations)
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- [Annotation process](#annotation-process)
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- [Who are the annotators?](#who-are-the-annotators)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [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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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Paper:** https://arxiv.org/abs/1606.05250
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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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### Dataset Summary
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Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.
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SQuAD 1.1 contains 100,000+ question-answer pairs on 500+ articles.
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### Supported Tasks and Leaderboards
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Question Answering.
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### Languages
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English (`en`).
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## Dataset Structure
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### Data Instances
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#### plain_text
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- **Size of downloaded dataset files:** 35.14 MB
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- **Size of the generated dataset:** 89.92 MB
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- **Total amount of disk used:** 125.06 MB
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An example of 'train' looks as follows.
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```
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{
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"answers": {
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"answer_start": [1],
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"text": ["This is a test text"]
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},
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"context": "This is a test context.",
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"id": "1",
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"question": "Is this a test?",
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"title": "train test"
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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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#### plain_text
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- `id`: a `string` feature.
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- `title`: a `string` feature.
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- `context`: a `string` feature.
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- `question`: a `string` feature.
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- `answers`: a dictionary feature containing:
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- `text`: a `string` feature.
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- `answer_start`: a `int32` feature.
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### Data Splits
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| name |train|validation|
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|----------|----:|---------:|
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|plain_text|87599| 10570|
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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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[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 dataset is distributed under the CC BY-SA 4.0 license.
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### Citation Information
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```
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@inproceedings{rajpurkar-etal-2016-squad,
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title = "{SQ}u{AD}: 100,000+ Questions for Machine Comprehension of Text",
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author = "Rajpurkar, Pranav and
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Zhang, Jian and
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Lopyrev, Konstantin and
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Liang, Percy",
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editor = "Su, Jian and
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Duh, Kevin and
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Carreras, Xavier",
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booktitle = "Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing",
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month = nov,
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year = "2016",
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address = "Austin, Texas",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/D16-1264",
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doi = "10.18653/v1/D16-1264",
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pages = "2383--2392",
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eprint={1606.05250},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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}
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```
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### Contributions
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Thanks to [@lewtun](https://github.com/lewtun), [@albertvillanova](https://github.com/albertvillanova), [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf) for adding this dataset.
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name: SQuAD
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---
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## Dataset Description
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- A modified version of squad.
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