Synthetic Biology Question-Answering Dataset
Abstract
To evaluate the knowledge comprehension, factual accuracy, and literature-grounded evidence utilization of retrieval-augmented generation (RAG) systems and domain-specific question-answering models in the field of synthetic biology.
Fields of Study & Subjects
Topic Modeling
Biomedical Text Mining and Ontologies
Machine Learning in Bioinformatics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 January 2026