coqa

• Description:

CoQA: A Conversational Question Answering Challenge

• Additional Documentation: Explore on Papers With Code

• Homepage: https://stanfordnlp.github.io/coqa/

• Source code: tfds.question_answering.coqa.Coqa

• Versions:

  • 1.0.0 (default): No release notes.

• Download size: 55.40 MiB

• Dataset size: 18.28 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'test'	500
'train'	7,199

• Feature structure:

FeaturesDict({
    'answers': Sequence({
        'answer_end': int32,
        'answer_start': int32,
        'input_text': Text(shape=(), dtype=string),
    }),
    'questions': Sequence(Text(shape=(), dtype=string)),
    'source': Text(shape=(), dtype=string),
    'story': Text(shape=(), dtype=string),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
answers	Sequence
answers/answer_end	Tensor		int32
answers/answer_start	Tensor		int32
answers/input_text	Text		string
questions	Sequence(Text)	(None,)	string
source	Text		string
story	Text		string

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@misc{reddy2018coqa,
    title={CoQA: A Conversational Question Answering Challenge},
    author={Siva Reddy and Danqi Chen and Christopher D. Manning},
    year={2018},
    eprint={1808.07042},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}