TREC-COVID
收藏arXiv2025-09-30 收录
下载链接：
https://ir.nist.gov/trec-covid/
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资源简介：
该数据集是一个针对与COVID-19相关的信息检索系统的结构化评估数据集，它包含了主题和相关性判断。这些主题以（查询、问题、叙述）元组的形式呈现，并且数据集中还包含了用于评估检索系统的相关性判断。每个评估轮次包含30至50个主题，其任务是评估信息检索系统的性能。
This dataset is a structured evaluation resource for COVID-19-related information retrieval systems, encompassing topics and relevance judgments. These topics are structured as (query, question, narrative) tuples, and the dataset further provides relevance judgments for evaluating retrieval systems. Each evaluation round contains 30 to 50 topics, with the core task being to assess the performance of information retrieval systems.
提供机构：
Text Retrieval Conference (TREC) and National Institute of Standards and Technology (NIST)
