2026-10-13T13:18:43Z https://www.scidb.cn/oai

10.57760/sciencedb.j00133.00081 2022-09-26T09:09:59Z

2022-09-26 Construction and Evaluation of Chinese Reading Comprehension Data Set for Security Field doi:10.57760/sciencedb.j00133.00081 en We proposed a Chinese machine reading comprehension dataset for security field (SecMRC), which solves the problem of lack of professional data support for machine reading comprehension technology research in this field. The dataset contains 2 1 00  Anti-terrorism  and security domain news, 7300 extracted question-answer pairs, 2 1 00 generative  Q&A pairs , and a total of 47 9 6264 characters.Tests were conducted using advanced reading comprehension models on the SecMRC. The results show that the F1 of the extraction task reaches 72.5%, and the average ROUGE-L of the generative task is 37.8%, both of which are significantly weaker than the human level. SecMRC highlights domain knowledge and is difficult and challenging. It can effectively support the research of machine reading comprehension technology in this field. And the dataset construction method is universal and can be extended to other professional fields. Anti-terrorism; Machine Reading Comprehension; DataSet yang zi hang Jin Hou PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank