2026-10-12T21:53:43Z https://www.scidb.cn/oai

10.57760/sciencedb.27203 2025-12-02T16:50:22Z

2025-12-02 A dataset for marking the ship faults field. doi:10.57760/sciencedb.27203 en We collected 1,347 text corpora in the field of ship faults and used the BIO sequence labeling method for data labeling. Among them, the faulty equipment was marked as E, the fault phenomenon as P, the fault cause as R, and the fault measure as M. Finally, 1,389 faulty equipment entities, 1,538 faulty phenomenon entities, 1,457 faulty cause entities and 1,526 faulty measure entities were obtained. Large language model; Multi-round prompts; Entity recognition; Ship fault field Fu Zhu PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset Science Data Bank