winogrande / README.md
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Add winogrande_xs splits information to dataset card (#3)
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metadata
language:
  - en
paperswithcode_id: winogrande
pretty_name: WinoGrande
dataset_info:
  - config_name: winogrande_xs
    features:
      - name: sentence
        dtype: string
      - name: option1
        dtype: string
      - name: option2
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: train
        num_bytes: 20704
        num_examples: 160
      - name: test
        num_bytes: 227649
        num_examples: 1767
      - name: validation
        num_bytes: 164199
        num_examples: 1267
    download_size: 3395492
    dataset_size: 412552
  - config_name: winogrande_s
    features:
      - name: sentence
        dtype: string
      - name: option1
        dtype: string
      - name: option2
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: train
        num_bytes: 82308
        num_examples: 640
      - name: test
        num_bytes: 227649
        num_examples: 1767
      - name: validation
        num_bytes: 164199
        num_examples: 1267
    download_size: 3395492
    dataset_size: 474156
  - config_name: winogrande_m
    features:
      - name: sentence
        dtype: string
      - name: option1
        dtype: string
      - name: option2
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: train
        num_bytes: 329001
        num_examples: 2558
      - name: test
        num_bytes: 227649
        num_examples: 1767
      - name: validation
        num_bytes: 164199
        num_examples: 1267
    download_size: 3395492
    dataset_size: 720849
  - config_name: winogrande_l
    features:
      - name: sentence
        dtype: string
      - name: option1
        dtype: string
      - name: option2
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: train
        num_bytes: 1319576
        num_examples: 10234
      - name: test
        num_bytes: 227649
        num_examples: 1767
      - name: validation
        num_bytes: 164199
        num_examples: 1267
    download_size: 3395492
    dataset_size: 1711424
  - config_name: winogrande_xl
    features:
      - name: sentence
        dtype: string
      - name: option1
        dtype: string
      - name: option2
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: train
        num_bytes: 5185832
        num_examples: 40398
      - name: test
        num_bytes: 227649
        num_examples: 1767
      - name: validation
        num_bytes: 164199
        num_examples: 1267
    download_size: 3395492
    dataset_size: 5577680
  - config_name: winogrande_debiased
    features:
      - name: sentence
        dtype: string
      - name: option1
        dtype: string
      - name: option2
        dtype: string
      - name: answer
        dtype: string
    splits:
      - name: train
        num_bytes: 1203420
        num_examples: 9248
      - name: test
        num_bytes: 227649
        num_examples: 1767
      - name: validation
        num_bytes: 164199
        num_examples: 1267
    download_size: 3395492
    dataset_size: 1595268

Dataset Card for "winogrande"

Table of Contents

Dataset Description

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 and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

winogrande_debiased

  • Size of downloaded dataset files: 3.40 MB
  • Size of the generated dataset: 1.59 MB
  • Total amount of disk used: 4.99 MB

An example of 'train' looks as follows.


winogrande_l

  • Size of downloaded dataset files: 3.40 MB
  • Size of the generated dataset: 1.71 MB
  • Total amount of disk used: 5.11 MB

An example of 'validation' looks as follows.


winogrande_m

  • Size of downloaded dataset files: 3.40 MB
  • Size of the generated dataset: 0.72 MB
  • Total amount of disk used: 4.12 MB

An example of 'validation' looks as follows.


winogrande_s

  • Size of downloaded dataset files: 3.40 MB
  • Size of the generated dataset: 0.47 MB
  • Total amount of disk used: 3.87 MB

An example of 'validation' looks as follows.


winogrande_xl

  • Size of downloaded dataset files: 3.40 MB
  • Size of the generated dataset: 5.58 MB
  • Total amount of disk used: 8.98 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

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
winogrande_xs 160 1267 1767

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

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

@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}
}

Contributions

Thanks to @thomwolf, @TevenLeScao, @patrickvonplaten, @lewtun for adding this dataset.