D-Human
收藏arXiv2025-09-30 收录
下载链接：
https://docs.microsoft.com/en-us/azure/data-explorer/kusto/query/
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资源简介：
该数据集包含了由人类输入的工单描述，主要关注于对事件管理工单的标注。它特别侧重于根据专家反馈识别系统性问题，并包含了总共10个细粒度标签。数据集的规模为：训练集包含20,142张工单，验证集有2,239张，测试集有5,596张。该数据集的任务是对事件管理工单进行标注。
This dataset contains human-entered ticket descriptions, primarily focusing on the annotation of incident management tickets. It specifically targets identifying systemic issues based on expert feedback, and includes a total of 10 fine-grained labels. The dataset is divided into three subsets with the following sizes: the training set holds 20,142 tickets, the validation set contains 2,239 tickets, and the test set includes 5,596 tickets. The core task of this dataset is to annotate incident management tickets.
提供机构：
Microsoft
