Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
ChemTEBgithub.comChemTEB is a massive text embedding benchmark for evaluating chemical and molecular text representations. It provides standardized tasks, datasets, and leaderboards to assess embedding model performance in chemistry-related domains.
Parse Score
Sources
arxiv.org shapes more of what AI says about ChemTEB than any other source, at 100% of its citations.
