Omkar2118/datasets huggingface dataset:
ProteinGym

ProteinGym is a collection of benchmarks aiming at comparing the ability of models to predict the effects of protein mutations. The benchmarks in ProteinGym are divided according to mutation type (substitutions vs. indels), ground truth source (DMS assay vs. clinical annotation), and training regime (zero-shot vs. supervised).

Pascal Notin, Aaron Kollasch, Daniel Ritter, Lood Van Niekerk, Steffanie Paul, Han Spinner, Nathan Rollins, Ada Shaw, Rose Orenbuch, Ruben Weitzman, Jonathan Frazer, Mafalda Dias, Dinko Franceschi, Yarin Gal, and Debora Marks

https://github.com/OATML-Markslab/ProteinGym