nju-zhangsq/RMISC
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… See the full description on the dataset page: https://huggingface.co/datasets/nju-zhangsq/RMISC.
| Author / organization | nju-zhangsq |
|---|---|
| License (as declared) | mit |
| Downloads | 10.7K (as reported by Hugging Face) |
| Likes | 6 |
| Created | 14 February 2026 |
| Last updated at source | 14 July 2026 |
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