coq
Datasets
All datasets matching “coq”meta-coq-utilsmeta-coq-commoncoqa
Dataset Card for "coqa"
Dataset Summary
CoQA is a large-scale dataset for building Conversational Question Answering systems.
Our dataset contains 127k questions with answers, obtained from 8k conversations about text passages from seven diverse domains. The questions are conversational, and the answers are free-form text with their corresponding evidence highlighted in the passage.
Supported Tasks and Leaderboards
More Information Needed
Languages… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/coqa.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-gen2mccoqa_mcCoQA 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.
NOTE: this is the reformulated multiple choice version of the CoQA task, with downsampling.