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:

Source: Hugging Face Hub (nju-zhangsq/RMISC). Metadata imported from the dataset’s Hub tags.