• Description:

The WinoGrande, a large-scale dataset of 44k problems, inspired by the original Winograd Schema Challenge design, but adjusted to improve both the scale and the hardness of the dataset.

Split Examples
'test' 1,767
'train_l' 10,234
'train_m' 2,558
'train_s' 640
'train_xl' 40,398
'train_xs' 160
'validation' 1,267
  • Feature structure:
    'label': ClassLabel(shape=(), dtype=int64, num_classes=2),
    'option1': Text(shape=(), dtype=string),
    'option2': Text(shape=(), dtype=string),
    'sentence': Text(shape=(), dtype=string),
  • Feature documentation:
Feature Class Shape Dtype Description
label ClassLabel int64
option1 Text string
option2 Text string
sentence Text string
    title={WinoGrande: An Adversarial Winograd Schema Challenge at Scale},
    author={Sakaguchi, Keisuke and Bras, Ronan Le and Bhagavatula, Chandra and Choi, Yejin},
    journal={arXiv preprint arXiv:1907.10641},