Sign inGet started
Dataset · Hugging Face

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 / organizationnju-zhangsq
License (as declared)mit
Downloads10.7K (as reported by Hugging Face)
Likes6
Created14 February 2026
Last updated at source14 July 2026
time seriesmultivariate time seriesmultivariate time series foundation model
Embed this entry
<iframe src="https://silytics.si/embed/item/5247e8e7-d961-43bc-a02d-c6e827b062d3" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.