2026-10-13T17:28:43Z https://www.scidb.cn/oai

10.57760/sciencedb.j00133.00634 2026-06-29T08:53:31Z

2026-06-29 Digital Cell Hybrid Knowledge Base Text Vector Dataset doi:10.57760/sciencedb.j00133.00634 en This dataset is extracted from high-quality open access cellular biology literature that has been rigorously selected. The raw unstructured data has undergone deep text parsing and reassembly, covering strict data cleaning, format standardization, multi-level chunking of long texts, and association and integration of metadata. On this basis, advanced representation models are used to extract high-dimensional features and vectorize cleaned text fragments, and they are normalized and stored in a hybrid text knowledge base that supports efficient semantic and accurate retrieval. The data submitted this time is a partial representative text sampling sample generated after the above process, aiming to demonstrate the data organization and vectorization processing framework of this study. If you have further research cooperation needs, please contact the author team.  Digital Cell; Hybrid Knowledge Base; Text Vector Dataset Chang Zhijun RESTRICTED dataset Science Data Bank