A comprehensive multimodal dataset for chemistry property prediction using vision large language models
ChemPile-MLIFT is a dataset designed for multimodal chemistry property prediction tasks, specifically focusing on the prediction of chemical properties using vision large language models (VLLMs). It is part of the ChemPile project, which aims to create a comprehensive collection of chemistry-related data for training LLMs. The… See the full description on the dataset page:
https://huggingface.co/datasets/jablonkagroup/chempile-mlift.