ChemReporter: A Framework for Curating and Exporting Large-Scale Chemical Datasets for MLIP Training
ChemReporter is a modular, scalable framework that unifies heterogeneous chemical datasets into a queryable Parquet repository, enabling efficient curation, subsampling, and export of large-scale, traceable training data for machine learning interatomic potentials (MLIPs) on standard infrastructure.