README.md

metadata

annotations_creators:
  - crowdsourced
language:
  - en
  - ar
language_creators:
  - found
license:
  - mit
multilinguality:
  - multilingual
pretty_name: MAWPS_ar
size_categories:
  - 1K<n<10K
source_datasets: []
task_categories:
  - text2text-generation
task_ids:
  - explanation-generation

Dataset Card for MAWPS_ar

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks
  • Languages
• Dataset Structure
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • 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

Dataset Description

Dataset Summary

MAWPS: A Math Word Problem Repository

Supported Tasks

Math Word Problem Solving

Languages

Supports Arabic and English

Dataset Structure

Data Fields

• text_en: a string feature.
• text_ar: a string feature.
• eqn: a string feature.

Data Splits

train	validation	test
3636	1040	520

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

Rik Koncel-Kedziorski**, Subhro Roy**, Aida Amini, Nate Kushman and Hannaneh Hajishirzi.

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information

More Information Needed

Contributions

Special thanks to Associate Professor Marwan Torki and all my colleagues in CC491N (NLP) class for helping me translate this dataset.