RMISC: A Large scale Real world Multivariate Corpus for Time Series Foundation Models This dataset card describes the main branch of RMISC. RMISC is a large scale, real world multivariate time series corpus for pretraining and benchmarking time series foundation models (TSFMs). The complete corpus contains around 200 sub datasets, 2 million original time series files, 16 billion timesteps, and 142 billion time points across energy, finance, environment, industry, traffic, and other domains. Project GitHub: https://github.com/zhangsq nju/RMISC Paper: https://arxiv.org/abs/2607.06504 📦 Dataset Packaging & Structure The main branch contains the full RMISC corpus in Parquet format. To avoid distributing millions of very small files, the original Parquet files within each sub dataset have been merged into larger files named part0.parquet , part1.parquet , and so on. During merging, RMISC adds an original filename column to every row. This column stores the stem of the original Parquet filename and makes the merge reversible. If you need the original one file per series layout, either restore it with the code below or use the zipped version branch. 💻 Quick Start: Hugging Face API If yo…
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