Digital Cell Hybrid Knowledge Base Text Vector Dataset

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.