Omkar2118/datasets huggingface dataset:
Simulated TGC for Muon Angle Fitting

#### Dataset Details

This dataset is primarily created for the work [Fast muon tracking with machine learning implemented in FPGA](http://dx.doi.org/10.1016/j.nima.2022.167546) ([Arxiv link](https://arxiv.org/abs/2202.04976)) that contains ~3M simulated muon events with Geant4.
Hits in the muon chamber and ground truth of track angle are saved.

#### Dataset Description

Please refer to the Section Simulation samples in the referenced work for details.

The file contains 3 keys: 'X', 'Y', and 'corr'.

'X' is a boolean array of size (3072000, 7, 50) used as the input information.

'Y' is a float vector of size (3072000) that contains the ground truth angle to be predicted.

'corr' contains three keys each of size (100, 100) that contains the Pearson correlation factor between the named stations that can be derived from X. Not useful for general purpose.