CoQA: A Conversational Question Answering Challenge
Paper • 1808.07042 • Published • 1
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"""CoQA dataset.
This CoQA adds the "additional_answers" feature that's missing in the original
datasets version:
https://github.com/huggingface/datasets/blob/master/datasets/coqa/coqa.py
"""
_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}
}
"""
_DESCRIPTION = """
CoQA is a large-scale dataset for building Conversational Question Answering
systems. The goal of the CoQA challenge is to measure the ability of machines to
understand a text passage and answer a series of interconnected questions that
appear in a conversation.
"""
_HOMEPAGE = "https://stanfordnlp.github.io/coqa/"
_LICENSE = "Different licenses depending on the content (see https://stanfordnlp.github.io/coqa/ for details)"
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