TECHQA

TECHQA数据集是由IBM研究院人工智能部门和IBM Watson共同创建，专注于技术支持领域的问答系统。该数据集包含600个训练问题，涵盖用户在技术论坛上提出的实际问题，以及来自IBM技术文档的答案。数据集的创建过程涉及自动过滤和人工筛选，确保问题和答案的质量。TECHQA数据集的应用领域主要集中在IT技术支持，旨在通过提供高质量的问答数据，促进机器阅读理解技术的发展，解决实际技术问题。

The TECHQA dataset was co-created by the Artificial Intelligence Department of IBM Research and IBM Watson, focusing on question answering systems in the technical support domain. It contains 600 training questions, covering real questions raised by users on technical forums, as well as answers sourced from IBM technical documents. The dataset creation process involves automatic filtering and manual screening to ensure the quality of both questions and answers. The main application scope of the TECHQA dataset is IT technical support, aiming to promote the development of machine reading comprehension technologies and solve practical technical problems by providing high-quality question answering data.