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--- |
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license: cc-by-4.0 |
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configs: |
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- config_name: winogrande_debiased |
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data_files: |
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- split: train |
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path: "winogrande_debiased/train-*.parquet" |
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- split: validation |
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path: "winogrande_debiased/validation-*.parquet" |
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- split: test |
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path: "winogrande_debiased/test-*.parquet" |
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- config_name: winogrande_l |
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data_files: |
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- split: train |
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path: "winogrande_l/train-*.parquet" |
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- split: validation |
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path: "winogrande_l/validation-*.parquet" |
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- split: test |
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path: "winogrande_l/test-*.parquet" |
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- config_name: winogrande_m |
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data_files: |
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- split: train |
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path: "winogrande_m/train-*.parquet" |
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- split: validation |
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path: "winogrande_m/validation-*.parquet" |
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- split: test |
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path: "winogrande_m/test-*.parquet" |
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- config_name: winogrande_s |
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data_files: |
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- split: train |
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path: "winogrande_s/train-*.parquet" |
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- split: validation |
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path: "winogrande_s/validation-*.parquet" |
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- split: test |
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path: "winogrande_s/test-*.parquet" |
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- config_name: winogrande_xl |
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data_files: |
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- split: train |
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path: "winogrande_xl/train-*.parquet" |
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- split: validation |
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path: "winogrande_xl/validation-*.parquet" |
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- split: test |
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path: "winogrande_xl/test-*.parquet" |
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- config_name: winogrande_xs |
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data_files: |
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- split: train |
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path: "winogrande_xs/train-*.parquet" |
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- split: validation |
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path: "winogrande_xs/validation-*.parquet" |
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- split: test |
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path: "winogrande_xs/test-*.parquet" |
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--- |
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# Wingrande v1.1 |
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## Dataset Description |
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- **Homepage:** [https://leaderboard.allenai.org/winogrande/submissions/get-started](https://leaderboard.allenai.org/winogrande/submissions/get-started) |
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- **Size of downloaded dataset files:** 20.37 MB |
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- **Size of the generated dataset:** 10.50 MB |
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- **Total amount of disk used:** 30.87 MB |
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### Dataset Summary |
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WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern |
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2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a |
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fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires |
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commonsense reasoning. |
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### Data Fields |
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The data fields are the same among all splits. |
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- `sentence`: a `string` feature. |
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- `option1`: a `string` feature. |
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- `option2`: a `string` feature. |
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- `answer`: a `string` feature. |
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### Data Splits |
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| name |train|validation|test| |
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|-------------------|----:|---------:|---:| |
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|winogrande_debiased| 9248| 1267|1767| |
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|winogrande_l |10234| 1267|1767| |
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|winogrande_m | 2558| 1267|1767| |
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|winogrande_s | 640| 1267|1767| |
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|winogrande_xl |40398| 1267|1767| |
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|winogrande_xs | 160| 1267|1767| |
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### Citation Information |
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``` |
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@InProceedings{ai2:winogrande, |
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title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale}, |
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authors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi |
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}, |
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year={2019} |
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} |
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``` |
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### Contributions |
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Thanks to [@thomwolf](https://github.com/thomwolf), [@TevenLeScao](https://github.com/TevenLeScao), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset. |