KOJKO/hotpot_qa

HotpotQA是一个新的数据集，包含113,000个基于维基百科的问题-答案对，具有四个关键特征：（1）问题需要通过查找和推理多个支持文档来回答；（2）问题多样且不受任何现有知识库或知识模式的限制；（3）提供句子级的支持事实，允许问答系统在强监督下进行推理并解释预测；（4）提供一种新类型的事实比较问题，以测试问答系统提取相关事实和进行必要比较的能力。数据集分为distractor和fullwiki两种配置，每种配置都有特定的特征和分割。数据集为英文，通过众包创建，采用CC BY-SA 4.0许可证。

HotpotQA is a new dataset with 113k Wikipedia-based question-answer pairs with four key features: (1) the questions require finding and reasoning over multiple supporting documents to answer; (2) the questions are diverse and not constrained to any pre-existing knowledge bases or knowledge schemas; (3) we provide sentence-level supporting facts required for reasoning, allowing QA systems to reason with strong supervision and explain the predictions; (4) we offer a new type of factoid comparison questions to test QA systems’ ability to extract relevant facts and perform necessary comparison. The dataset is available in two configurations: distractor and fullwiki, each with specific features and splits. The dataset is in English, crowdsourced, and licensed under CC BY-SA 4.0.