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MultimodalSensor / Time-seriesText

Fusion Equilibrium Challenge

Fusion Equilibrium Challenge

⚛️ The Fusion Equilibrium Challenge Predict the shape of a fusion plasma (the magnetic equilibrium, $psi$) from control inputs and diagnostics alone — without magnetic sensors. Data comes from two tokamaks: DIII-D — General Atomics tokamak (San Diego, USA) MAST — Mega Ampere Spherical Tokamak (Culham, UK) In data-science terms this is an image-regression / control problem: predict a 2-D poloidal flux map (efit psirz) at each EFIT timestep from coil currents (the actuators)… See the full description on the dataset page:

Source: Hugging Face Hub (Sophelio/fusion-equilibrium-challenge). Metadata imported from the dataset’s Hub tags.

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