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Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
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数据集地址:https://openi.pcl.ac.cn/ZhangbuDong/ReDial/datasets?type=-1
ReDial推荐对话数据集
ReDial(推荐对话)是一个带注释的对话数据集,用户可以在其中相互推荐电影。该数据集是由一个团队工作的研究人员(Polytechnique Montréal, MILA – Quebec AI Institute, Microsoft Research Montréal, HEC Montreal, and Element AI.)收集
数据集介绍
ReDial(推荐对话)是一个带注释的对话数据集,用户可以在其中相互推荐电影。该数据集包含 10,000 多个以提供电影推荐为主题的对话。
官方网址:https://redialdata.github.io/website/
paperwithcode:https://paperswithcode.com/dataset/redial
结构
Structure
The dataset is published in the “jsonl” format, i.e., as a text file where each line corresponds to a Dialogue given as a valid JSON document.
A Dialogue contains these fields:
Each Message contains these fields:
The labels in initiatorQuestions and respondentQuestions have the following meaning:
Dataset Size
The dataset contains a total of 11348 dialogues, 10006 for training and model selection, and 1342 for testing.
引用
如果您在研究中使用 ReDial,请使用以下 BibTeX 条目引用论文: