Datasets:

Languages:
English
Size Categories:
1K<n<10K
ArXiv:
License:
coqa / README.md
hails's picture
Create README.md
bbd5e0b
metadata
license: other
language:
  - en
size_categories:
  - 1K<n<10K

"""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)"