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Dataset Card for "winogrande"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits Sample Size
• 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

Dataset Description

• Homepage: https://leaderboard.allenai.org/winogrande/submissions/get-started
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 19.43 MB
• Size of the generated dataset: 10.01 MB
• Total amount of disk used: 29.44 MB

Dataset Summary

WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires commonsense reasoning.

Supported Tasks

More Information Needed

Languages

More Information Needed

Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

winogrande_debiased

• Size of downloaded dataset files: 3.24 MB
• Size of the generated dataset: 1.52 MB
• Total amount of disk used: 4.76 MB

An example of 'train' looks as follows.

winogrande_l

• Size of downloaded dataset files: 3.24 MB
• Size of the generated dataset: 1.63 MB
• Total amount of disk used: 4.87 MB

An example of 'validation' looks as follows.

winogrande_m

• Size of downloaded dataset files: 3.24 MB
• Size of the generated dataset: 0.69 MB
• Total amount of disk used: 3.93 MB

An example of 'validation' looks as follows.

winogrande_s

• Size of downloaded dataset files: 3.24 MB
• Size of the generated dataset: 0.45 MB
• Total amount of disk used: 3.69 MB

An example of 'validation' looks as follows.

winogrande_xl

• Size of downloaded dataset files: 3.24 MB
• Size of the generated dataset: 5.32 MB
• Total amount of disk used: 8.56 MB

An example of 'train' looks as follows.

Data Fields

The data fields are the same among all splits.

winogrande_debiased

• sentence: a string feature.
• option1: a string feature.
• option2: a string feature.
• answer: a string feature.

winogrande_l

• sentence: a string feature.
• option1: a string feature.
• option2: a string feature.
• answer: a string feature.

winogrande_m

• sentence: a string feature.
• option1: a string feature.
• option2: a string feature.
• answer: a string feature.

winogrande_s

• sentence: a string feature.
• option1: a string feature.
• option2: a string feature.
• answer: a string feature.

winogrande_xl

• sentence: a string feature.
• option1: a string feature.
• option2: a string feature.
• answer: a string feature.

Data Splits Sample Size

name	train	validation	test
winogrande_debiased	9248	1267	1767
winogrande_l	10234	1267	1767
winogrande_m	2558	1267	1767
winogrande_s	640	1267	1767
winogrande_xl	40398	1267	1767

Dataset Creation

Curation Rationale

More Information Needed

Source Data

More Information Needed

Annotations

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

@InProceedings{ai2:winogrande,
title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},
authors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi
},
year={2019}
}