The TSCOMP (Time-Series Component-level Benchmarking) Corpus is a curated collection of evaluation results from systematic component-level experiments in deep multivariate time-series forecasting.
The corpus contains metrics.npy files from over 20,000 experimental runs, each recording the performance of a specific model component configuration (e.g., normalization layers, attention mechanisms, patching strategies) across multiple forecasting… See the full description on the dataset page:
https://huggingface.co/datasets/Braudo/TSCOMP_corpus.
