winogrande

• 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.

• Additional Documentation: Explore on Papers With Code

• Homepage: http://winogrande.allenai.org/

• Source code: tfds.text.Winogrande

• Versions:

  • 1.2.0 (default): Updated source file with more data and new checksums.

• Download size: 3.24 MiB

• Dataset size: 9.97 MiB

• Auto-cached (documentation): Yes

• Splits:

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:

FeaturesDict({
    '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
	FeaturesDict
label	ClassLabel		int64
option1	Text		string
option2	Text		string
sentence	Text		string

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@article{sakaguchi2019winogrande,
    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},
    year={2019}
}