AI Data Marketplace
The Paramus Data Marketplace provides a curated portfolio of datasets ready to install on your data server. Hosting large datasets locally can provide significantly faster data access and eliminate bandwidth bottlenecks during high-volume machine learning training.
It ensures reproducibility and data security, particularly when dealing with proprietary or sensitive chemical information. Moreover, local infrastructure allows full control over hardware utilization, reducing latency and cost associated with repeated cloud data transfers.
QM9
Academic, non-commercial use only
A chemical language model designed for small organic molecules that encodes SMILES strings from the QM9 dataset into high-dimensional embeddings (“fingerprints”) for ultrafast molecular property prediction and quantum chemistry–driven informatics workflows.
Ramakrishnan, R.; Dral, P. O.; Rupp, M.; von Lilienfeld, O. A. “Quantum chemistry structures and properties of 134 kilo molecules.”
Sci. Data 1, 140022 (2014). DOI: 10.1038/sdata.2014.22