commonsense_qa

Dataset Card for "commonsense_qa"

Table of Contents

• Table of Contents
• Dataset Description
• Dataset Summary
• Supported Tasks and Leaderboards
• Languages
• Dataset Structure
• Data Instances
• 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

• Homepage: https://www.tau-nlp.org/commonsenseqa
• Repository: https://github.com/jonathanherzig/commonsenseqa
• Paper: https://arxiv.org/abs/1811.00937
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 4.68 MB
• Size of the generated dataset: 2.18 MB
• Total amount of disk used: 6.86 MB

Dataset Summary

CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge to predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers. The dataset is provided in two major training/validation/testing set splits: "Random split" which is the main evaluation split, and "Question token split", see paper for details.