qasc

• Description:

QASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences.

• Additional Documentation: Explore on Papers With Code

• Homepage: https://allenai.org/data/qasc

• Source code: tfds.datasets.qasc.Builder

• Versions:

  • 0.1.0 (default): No release notes.

• Download size: 1.54 MiB

• Dataset size: 6.61 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'test'	920
'train'	8,134
'validation'	926

• Feature structure:

FeaturesDict({
    'answerKey': Text(shape=(), dtype=string),
    'choices': Sequence({
        'label': Text(shape=(), dtype=string),
        'text': Text(shape=(), dtype=string),
    }),
    'combinedfact': Text(shape=(), dtype=string),
    'fact1': Text(shape=(), dtype=string),
    'fact2': Text(shape=(), dtype=string),
    'formatted_question': Text(shape=(), dtype=string),
    'id': Text(shape=(), dtype=string),
    'question': Text(shape=(), dtype=string),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
answerKey	Text		string
choices	Sequence
choices/label	Text		string
choices/text	Text		string
combinedfact	Text		string
fact1	Text		string
fact2	Text		string
formatted_question	Text		string
id	Text		string
question	Text		string

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@article{allenai:qasc,
      author    = {Tushar Khot and Peter Clark and Michal Guerquin and Peter Jansen and Ashish Sabharwal},
      title     = {QASC: A Dataset for Question Answering via Sentence Composition},
      journal   = {arXiv:1910.11473v2},
      year      = {2020},
}