User Study Conversations
收藏arXiv2025-09-30 收录
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https://github.com/ojrlopez27/nl-service-composition
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资源简介：
该数据集记录了用户在与聊天机器人互动时，在三种不同场景下使用自然语言描述他们请求的对话内容。此外，该数据集还用于评估自然语言服务组合（NLSC）方法在精确度、召回率和F1分数指标方面的性能表现。数据集的规模包括20名用户、15项不同的服务以及3种场景。其任务主要针对服务组合和用户请求理解。
This dataset contains conversational data where users articulate their requests via natural language across three distinct scenarios while interacting with chatbots. Additionally, this dataset is employed to assess the performance of Natural Language Service Composition (NLSC) methods against standard evaluation metrics including precision, recall, and F1-score. The dataset encompasses 20 users, 15 distinct services, and 3 scenarios. The core tasks of this dataset revolve around service composition and user request understanding.
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