EleutherAI/coqa
"""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… See the full description on the dataset page: https://huggingface.co/datasets/EleutherAI/coqa.
"""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)"