CAsT-2021
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/castorini/pyserini
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资源简介：
该数据集专为CAsT-2021的自动轨迹提交而设计，重点关注对话系统中的上下文依赖性，并使用NDCG@3等指标来评估性能。此外，该数据集被用于分析不同查询扩展技术和检索参数在信息检索方面的表现。该数据集从语料库中检索了前100个文档，其任务是对话系统中的信息检索。
This dataset is specifically designed for the automatic track submission of CAsT-2021, with a focus on contextual dependency in conversational systems and performance evaluated using metrics such as NDCG@3. Furthermore, it is utilized to analyze the performance of various query expansion techniques and retrieval parameters in information retrieval. The dataset retrieves the top 100 documents from a corpus, targeting the information retrieval task in conversational systems.
提供机构：
CAsT-2021 Challenge
