An LLM-driven Chinese Corpus of Human Olfactory Descriptions and Entity Annotations
Summary
A study published online on August 15, 2026, in Scientific Data introduces a Chinese corpus of human olfactory descriptions and entity annotations, driven by large language models (LLMs). The corpus aims to collect and annotate Chinese expressions related to smell, providing a data resource for olfactory research. The paper's DOI is 10.1038/s41597-026-08117-y.
Evidence & checks
- Discovery channel
- Nature Portfolio · Scientific Data
- Original material
- www.nature.com
- Material type
- Source page; material type not verified
- Material basis
- Retrieval basis unknown
- Review status
- No human-review record