Dataset Card for "math_qa"
Dataset Summary
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.
Supported Tasks and Leaderboards
Languages
Dataset Structure
We show detailed information for up to 5 configurations of the dataset.
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: astringfeature.Rationale: astringfeature.options: astringfeature.correct: astringfeature.annotated_formula: astringfeature.linear_formula: astringfeature.category: astringfeature.
Data Splits
| name | train | validation | test |
|---|---|---|---|
| default | 29837 | 4475 | 2985 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
Contributions
Thanks to @thomwolf, @lewtun, @patrickvonplaten for adding this dataset.
Homepage:
math-qa.github.io
Size of downloaded dataset files:
6.96 MB
Size of the generated dataset:
21.90 MB
Total amount of disk used:
28.87 MB
Models trained or fine-tuned on math_qa
None yet