squad rajpurkar

Dataset Card for SQuAD Dataset Summary Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable. SQuAD 1.1 contains 100,000+ question-answer pairs on 500+ articles. Supported Tasks and Leaderboards Question Answering.… See the full description on the dataset page: https://huggingface.co/datasets/rajpurkar/squad.

类型
dataset
许可
cc-by-sa-4.0
语言
en
下载量
213,976
点赞
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访问
public
文件
0

标签

  • 问答
  • 评测基准
  • 文本数据集
  • NLP
  • 抽取式问答

摘要

SQuAD是斯坦福大学构建的阅读理解数据集，包含由众包工作者基于维基百科文章提出的10万多个问答对。该数据集用于训练和评测抽取式问答模型，要求模型从给定上下文段落中定位并提取答案文本片段。它是问答与NLP研究领域最经典的基准数据集之一，被广泛用于预训练模型和阅读理解系统的评测。

README

--- annotations_creators: - crowdsourced language_creators: - crowdsourced - found language: - en license: cc-by-sa-4.0 multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - extended|wikipedia task_categories: - question-answering task_ids: - extractive-qa paperswithcode_i…

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