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.
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: astringfeature.option1: astringfeature.option2: astringfeature.answer: astringfeature.
Data Splits
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.
