Paired noisy-input / noise-label SEG-Y volumes for supervised ground-roll attenuation, derived from the SEG C3 synthetic velocity model.
Noise-label regression: given a noisy pre-stack shot gather, predict the additive ground-roll noise component. The clean signal is recovered as:
denoised = noisy_input - predicted_noise
The noise labels serve as regression targets. Both input and label are 3D SEG-Y volumes with identical geometry.… See the full description on the dataset page:
https://huggingface.co/datasets/GeoBrain/ground-roll.
