TokaMark is a large, open benchmark dataset for evaluating AI models on real experimental diagnostics from the Mega Ampere Spherical Tokamak (MAST). It packages 39 harmonized signals from 11,573 MAST shots into a standardized, task-ready format spanning 14 downstream tasks across plasma equilibrium reconstruction, short-term magnetics dynamics, kinetic profile evolution, and long-range forecasting of MHD activity and disruptions.
This repository hosts the data release… See the full description on the dataset page:
https://huggingface.co/datasets/UKAEA-IBM-STFC/tokamark-v1.