metadata

license: cc-by-4.0
configs:
  - config_name: winogrande_debiased
    data_files:
      - split: train
        path: winogrande_debiased/train-*.parquet
      - split: validation
        path: winogrande_debiased/validation-*.parquet
      - split: test
        path: winogrande_debiased/test-*.parquet
  - config_name: winogrande_l
    data_files:
      - split: train
        path: winogrande_l/train-*.parquet
      - split: validation
        path: winogrande_l/validation-*.parquet
      - split: test
        path: winogrande_l/test-*.parquet
  - config_name: winogrande_m
    data_files:
      - split: train
        path: winogrande_m/train-*.parquet
      - split: validation
        path: winogrande_m/validation-*.parquet
      - split: test
        path: winogrande_m/test-*.parquet
  - config_name: winogrande_s
    data_files:
      - split: train
        path: winogrande_s/train-*.parquet
      - split: validation
        path: winogrande_s/validation-*.parquet
      - split: test
        path: winogrande_s/test-*.parquet
  - config_name: winogrande_xl
    data_files:
      - split: train
        path: winogrande_xl/train-*.parquet
      - split: validation
        path: winogrande_xl/validation-*.parquet
      - split: test
        path: winogrande_xl/test-*.parquet
  - config_name: winogrande_xs
    data_files:
      - split: train
        path: winogrande_xs/train-*.parquet
      - split: validation
        path: winogrande_xs/validation-*.parquet
      - split: test
        path: winogrande_xs/test-*.parquet

Wingrande v1.1

Dataset Description

Homepage: https://leaderboard.allenai.org/winogrande/submissions/get-started
Size of downloaded dataset files: 20.37 MB
Size of the generated dataset: 10.50 MB
Total amount of disk used: 30.87 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.

Data Fields

The data fields are the same among all splits.

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

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.