mwsc / README.md
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Dataset Card for "mwsc"

Table of Contents

Dataset Description

Dataset Summary

Examples taken from the Winograd Schema Challenge modified to ensure that answers are a single word from the context. This modified Winograd Schema Challenge (MWSC) ensures that scores are neither inflated nor deflated by oddities in phrasing.

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

default

  • Size of downloaded dataset files: 0.02 MB
  • Size of the generated dataset: 0.04 MB
  • Total amount of disk used: 0.06 MB

An example of 'validation' looks as follows.

{
    "answer": "example",
    "options": ["test", "example"],
    "question": "What is this sentence?",
    "sentence": "This is a example sentence."
}

Data Fields

The data fields are the same among all splits.

default

  • sentence: a string feature.
  • question: a string feature.
  • options: a list of string features.
  • answer: a string feature.

Data Splits Sample Size

name train validation test
default 80 82 100

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

@article{McCann2018decaNLP,
  title={The Natural Language Decathlon: Multitask Learning as Question Answering},
  author={Bryan McCann and Nitish Shirish Keskar and Caiming Xiong and Richard Socher},
  journal={arXiv preprint arXiv:1806.08730},
  year={2018}
}

Contributions

Thanks to @thomwolf, @lewtun, @ghomasHudson, @lhoestq for adding this dataset.