Datasets:
Tasks:
Question Answering
Sub-tasks:
multiple-choice-qa
Languages:
English
Size:
10K<n<100K
License:
![albertvillanova's picture](https://cdn-avatars.huggingface.co/v1/production/uploads/1606406298765-noauth.jpeg)
albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#1)
24883f1
annotations_creators: | |
- crowdsourced | |
language: | |
- en | |
language_creators: | |
- crowdsourced | |
- expert-generated | |
license: | |
- apache-2.0 | |
multilinguality: | |
- monolingual | |
pretty_name: MathQA | |
size_categories: | |
- 10K<n<100K | |
source_datasets: | |
- extended|aqua_rat | |
task_categories: | |
- question-answering | |
task_ids: | |
- multiple-choice-qa | |
paperswithcode_id: mathqa | |
dataset_info: | |
features: | |
- name: Problem | |
dtype: string | |
- name: Rationale | |
dtype: string | |
- name: options | |
dtype: string | |
- name: correct | |
dtype: string | |
- name: annotated_formula | |
dtype: string | |
- name: linear_formula | |
dtype: string | |
- name: category | |
dtype: string | |
splits: | |
- name: test | |
num_bytes: 1844184 | |
num_examples: 2985 | |
- name: train | |
num_bytes: 18368826 | |
num_examples: 29837 | |
- name: validation | |
num_bytes: 2752969 | |
num_examples: 4475 | |
download_size: 7302821 | |
dataset_size: 22965979 | |
# Dataset Card for MathQA | |
## 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:** [https://math-qa.github.io/math-QA/](https://math-qa.github.io/math-QA/) | |
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
- **Paper:** [MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms](https://aclanthology.org/N19-1245/) | |
- **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:** 7.30 MB | |
- **Size of the generated dataset:** 22.96 MB | |
- **Total amount of disk used:** 30.27 MB | |
### Dataset Summary | |
We introduce a large-scale dataset of math word problems. | |
Our dataset is gathered by using a new representation language to annotate over the AQuA-RAT dataset with fully-specified operational programs. | |
AQuA-RAT has provided the questions, options, rationale, and the correct options. | |
### Supported Tasks and Leaderboards | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
### Languages | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
## Dataset Structure | |
### Data Instances | |
#### default | |
- **Size of downloaded dataset files:** 7.30 MB | |
- **Size of the generated dataset:** 22.96 MB | |
- **Total amount of disk used:** 30.27 MB | |
An example of 'train' looks as follows. | |
``` | |
{ | |
"Problem": "a multiple choice test consists of 4 questions , and each question has 5 answer choices . in how many r ways can the test be completed if every question is unanswered ?", | |
"Rationale": "\"5 choices for each of the 4 questions , thus total r of 5 * 5 * 5 * 5 = 5 ^ 4 = 625 ways to answer all of them . answer : c .\"", | |
"annotated_formula": "power(5, 4)", | |
"category": "general", | |
"correct": "c", | |
"linear_formula": "power(n1,n0)|", | |
"options": "a ) 24 , b ) 120 , c ) 625 , d ) 720 , e ) 1024" | |
} | |
``` | |
### Data Fields | |
The data fields are the same among all splits. | |
#### default | |
- `Problem`: a `string` feature. | |
- `Rationale`: a `string` feature. | |
- `options`: a `string` feature. | |
- `correct`: a `string` feature. | |
- `annotated_formula`: a `string` feature. | |
- `linear_formula`: a `string` feature. | |
- `category`: a `string` feature. | |
### Data Splits | |
| name |train|validation|test| | |
|-------|----:|---------:|---:| | |
|default|29837| 4475|2985| | |
## 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 dataset is licensed under the [Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0). | |
### Citation Information | |
``` | |
@inproceedings{amini-etal-2019-mathqa, | |
title = "{M}ath{QA}: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms", | |
author = "Amini, Aida and | |
Gabriel, Saadia and | |
Lin, Shanchuan and | |
Koncel-Kedziorski, Rik and | |
Choi, Yejin and | |
Hajishirzi, Hannaneh", | |
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)", | |
month = jun, | |
year = "2019", | |
address = "Minneapolis, Minnesota", | |
publisher = "Association for Computational Linguistics", | |
url = "https://aclanthology.org/N19-1245", | |
doi = "10.18653/v1/N19-1245", | |
pages = "2357--2367", | |
} | |
``` | |
### Contributions | |
Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset. |