$\textit{L+M-24}$: Building a Dataset for Language + Molecules @ ACL 2024

arXiv:2403.00791v1 Announce Type: new
Abstract: Language-molecule models have emerged as an exciting direction for molecular discovery and understanding. However, training these models is challenging due to the scarcity of molecule-language pair datasets. At this point, datasets have been released which are 1) small and scraped from existing databases, 2) large but noisy and constructed by performing entity linking on the scientific literature, and 3) built by converting property prediction datasets to natural language using templates. In this document, we detail …

abstract acl arxiv building cs.ai cs.cl databases dataset datasets discovery language molecules q-bio.bm q-bio.qm small training type understanding