Datasets:
Tasks:
Question Answering
Sub-tasks:
multiple-choice-qa
Languages:
English
Size:
10K<n<100K
License:
Commit
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3a67e50
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Parent(s):
c8d38ca
Fix documentation card of math_qa dataset (#4884)
Browse filesCommit from https://github.com/huggingface/datasets/commit/6c327f19c07c092c86580e9f5e671a14c523be3e
README.md
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---
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language:
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- en
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-
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pretty_name: MathQA
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---
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# Dataset Card for
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- **Homepage:** [https://math-qa.github.io/math-QA/](https://math-qa.github.io/math-QA/)
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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:** 6.96 MB
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- **Size of the generated dataset:** 21.90 MB
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### Dataset Summary
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### Supported Tasks and Leaderboards
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### Licensing Information
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[
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### Citation Information
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```
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```
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---
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annotations_creators:
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- crowdsourced
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language:
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- en
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language_creators:
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- crowdsourced
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- expert-generated
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license:
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- apache-2.0
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multilinguality:
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- monolingual
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pretty_name: MathQA
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size_categories:
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- 10K<n<100K
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source_datasets:
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- extended|aqua_rat
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task_categories:
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- question-answering
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task_ids:
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- multiple-choice-qa
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paperswithcode_id: mathqa
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---
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# Dataset Card for MathQA
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- **Homepage:** [https://math-qa.github.io/math-QA/](https://math-qa.github.io/math-QA/)
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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:** [MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms](https://aclanthology.org/N19-1245/)
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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:** 6.96 MB
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- **Size of the generated dataset:** 21.90 MB
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### Dataset Summary
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We introduce a large-scale dataset of math word problems.
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Our dataset is gathered by using a new representation language to annotate over the AQuA-RAT dataset with fully-specified operational programs.
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AQuA-RAT has provided the questions, options, rationale, and the correct options.
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### Supported Tasks and Leaderboards
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### Licensing Information
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The dataset is licensed under the [Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0).
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### Citation Information
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```
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@inproceedings{amini-etal-2019-mathqa,
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title = "{M}ath{QA}: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms",
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author = "Amini, Aida and
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Gabriel, Saadia and
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Lin, Shanchuan and
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Koncel-Kedziorski, Rik and
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Choi, Yejin and
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Hajishirzi, Hannaneh",
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booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
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month = jun,
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year = "2019",
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address = "Minneapolis, Minnesota",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/N19-1245",
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doi = "10.18653/v1/N19-1245",
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pages = "2357--2367",
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}
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```
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