Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
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Parent(s):
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Update dataset card (#8)
Browse files- Update dataset card (8d6693fb74016677f6b1c4627cee5da504f14358)
README.md
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language:
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license:
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- cc-by-4.0
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multilinguality:
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- monolingual
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size_categories:
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name: SQuAD
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---
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# Dataset Card for
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## Table of Contents
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- [Dataset Card for "squad"](#dataset-card-for-squad)
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## Dataset Description
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- **Homepage:**
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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:**
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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:** 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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### 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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### Supported Tasks and Leaderboards
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### Languages
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## Dataset Structure
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### Licensing Information
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### Citation Information
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```
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}
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```
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language:
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- en
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license: cc-by-sa-4.0
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multilinguality:
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- monolingual
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size_categories:
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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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## Dataset Description
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- **Homepage:** https://rajpurkar.github.io/SQuAD-explorer/
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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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### 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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