RMISC Is a Large-Scale Real-World Corpus for Time-Series Foundation Models

arXiv·medium signal

RMISC is a large-scale real-world multivariate corpus built for training and evaluating time-series foundation models (TSFMs), which increasingly promise zero-shot forecasting. A realistic multivariate benchmark matters for builders checking whether TSFM zero-shot claims hold on messy real data versus curated sets. It supplies evaluation ground truth the TSFM wave has largely lacked.