Omkar2118/datasets huggingface dataset:
Machine Learning Quantum Reaction Rate Constants
Full name: Evan Komp and Stephanie Valleau

Dataset of 1,517,419 quantum reaction rate constant products kQM(T)QR(T) computed from the transmission coefficient for model single and double barrier minimum energy paths. Here kQM(T) is the quantum reaction rate constant at temperature T and QR(T) is the reactant partition function computed with the rigid rotor and harmonic oscillator approximations.This dataset was created for Ref [1] where it was used to train and test a DNN to predict logkQM(T)QR(T).

See zenodo webpage for details and dataset
https://zenodo.org/record/5510392#.YUkbjWZKhOc

Introducing paper: Machine Learning Quantum Reaction Rate Constants