metadata

license: cc-by-4.0
dataset_info:
  - 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: 1319544
        num_examples: 10234
      - name: test
        num_bytes: 227633
        num_examples: 1767
      - name: validation
        num_bytes: 164183
        num_examples: 1267
    download_size: 733064
    dataset_size: 1711360
  - 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: 328985
        num_examples: 2558
      - name: test
        num_bytes: 227633
        num_examples: 1767
      - name: validation
        num_bytes: 164183
        num_examples: 1267
    download_size: 337379
    dataset_size: 720801
  - 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: 82292
        num_examples: 640
      - name: test
        num_bytes: 227633
        num_examples: 1767
      - name: validation
        num_bytes: 164183
        num_examples: 1267
    download_size: 238397
    dataset_size: 474108
  - 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: 5185752
        num_examples: 40398
      - name: test
        num_bytes: 227633
        num_examples: 1767
      - name: validation
        num_bytes: 164183
        num_examples: 1267
    download_size: 2262090
    dataset_size: 5577568
  - 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: 20688
        num_examples: 160
      - name: test
        num_bytes: 227633
        num_examples: 1767
      - name: validation
        num_bytes: 164183
        num_examples: 1267
    download_size: 215301
    dataset_size: 412504
configs:
  - config_name: winogrande_l
    data_files:
      - split: train
        path: winogrande_l/train-*
      - split: test
        path: winogrande_l/test-*
      - split: validation
        path: winogrande_l/validation-*
  - config_name: winogrande_m
    data_files:
      - split: train
        path: winogrande_m/train-*
      - split: test
        path: winogrande_m/test-*
      - split: validation
        path: winogrande_m/validation-*
  - config_name: winogrande_s
    data_files:
      - split: train
        path: winogrande_s/train-*
      - split: test
        path: winogrande_s/test-*
      - split: validation
        path: winogrande_s/validation-*
  - config_name: winogrande_xl
    data_files:
      - split: train
        path: winogrande_xl/train-*
      - split: test
        path: winogrande_xl/test-*
      - split: validation
        path: winogrande_xl/validation-*
  - config_name: winogrande_xs
    data_files:
      - split: train
        path: winogrande_xs/train-*
      - split: test
        path: winogrande_xs/test-*
      - split: validation
        path: winogrande_xs/validation-*

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.