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coref-data/winogrande_raw

Wingrande v1.1 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… See the full description on the dataset page: https://huggingface.co/datasets/coref-data/winogrande_raw.

sourceHugging Facecc-by-4.0updated 3y agoView on Hugging Face
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Wingrande v1.1

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.

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

nametrainvalidationtest
winogrande_debiased924812671767
winogrande_l1023412671767
winogrande_m255812671767
winogrande_s64012671767
winogrande_xl4039812671767
winogrande_xs16012671767

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.