2026-10-10T20:20:37Z https://www.scidb.cn/oai

10.57760/sciencedb.j00001.01587 2026-06-15T14:05:06Z

2026-06-15 A dataset of rice breeding experimental events for drought tolerance, salinity tolerance, and low cadmium accumulation doi:10.57760/sciencedb.j00001.01587 en Based on Web of Science ™ Collecting relevant literature from the PubMed Central database between 1990 and 2023. Using an enhanced LightRAG retrieval-augmented model and a modified BERT language model, the study extracted nine types of entities—such as variety, gene, protein, and environmental factor—and eight types of relationships. The dataset adopts a five-element tuple structure, incorporating temporal and disciplinary attributes, and contains 10,409 entities and 13,034 entity relationships. Events are presented in a subject–predicate–object structure and categorized into four types: attribute-related, function-related, causal, and technical events. Throughout the data construction process, standardized cleaning, semantic annotation, expert review, and multi-model evaluation were conducted to ensure data accuracy and consistency. Compared to traditional scientific data resources, this dataset emphasizes dynamic relationships and technical pathways in experimental processes. It provides a valuable foundation for applications such as rice functional gene mining, trait improvement analysis, knowledge graph construction, and intelligent question answering systems, offering significant potential for reuse and broad applicability. rice breeding; abiotic stress; scientific experimental events; LightRAG model; BERT model lin qiao Xian Guojian Hu Zhijie Wu Yu Ding Nanling Zhang Xuefu Sun Tan PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.11922/11-6035.nasdc.2025.0140.zh Science Data Bank