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README.md

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----
-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:** 6.96 MB
-- **Size of the generated dataset:** 21.90 MB
-- **Total amount of disk used:** 28.87 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:** 6.96 MB
-- **Size of the generated dataset:** 21.90 MB
-- **Total amount of disk used:** 28.87 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.

dataset_infos.json

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math_qa.py

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-"""TODO(math_qa): Add a description here."""
-
-
-import json
-import os
-
-import datasets
-
-
-# TODO(math_qa): BibTeX citation
-_CITATION = """
-"""
-
-# TODO(math_qa):
-_DESCRIPTION = """
-Our dataset is gathered by using a new representation language to annotate over the AQuA-RAT dataset. AQuA-RAT has provided the questions, options, rationale, and the correct options.
-"""
-_URL = "https://math-qa.github.io/math-QA/data/MathQA.zip"
-
-
-class MathQa(datasets.GeneratorBasedBuilder):
-    """TODO(math_qa): Short description of my dataset."""
-
-    # TODO(math_qa): Set up version.
-    VERSION = datasets.Version("0.1.0")
-
-    def _info(self):
-        # TODO(math_qa): Specifies the datasets.DatasetInfo object
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # datasets.features.FeatureConnectors
-            features=datasets.Features(
-                {
-                    # These are the features of your dataset like images, labels ...
-                    "Problem": datasets.Value("string"),
-                    "Rationale": datasets.Value("string"),
-                    "options": datasets.Value("string"),
-                    "correct": datasets.Value("string"),
-                    "annotated_formula": datasets.Value("string"),
-                    "linear_formula": datasets.Value("string"),
-                    "category": datasets.Value("string"),
-                }
-            ),
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage="https://math-qa.github.io/math-QA/",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # TODO(math_qa): Downloads the data and defines the splits
-        # dl_manager is a datasets.download.DownloadManager that can be used to
-        # download and extract URLs
-        dl_path = dl_manager.download_and_extract(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": os.path.join(dl_path, "train.json")},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": os.path.join(dl_path, "test.json")},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": os.path.join(dl_path, "dev.json")},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        # TODO(math_qa): Yields (key, example) tuples from the dataset
-        with open(filepath, encoding="utf-8") as f:
-            data = json.load(f)
-            for id_, row in enumerate(data):
-                yield id_, row