Sign inGet started
Dataset · Hugging Face

williamgilpin/dysts

Chaotic Time Series Dataset Multivariate time series from chaotic dynamical systems. Each multivariate time series is a drawn from one chaotic dynamical system over an extended duration, making this dataset suitable for long-horizon forecasting tasks. There are 4 million total multivariate observations, grouped into 135 systems and three granularities The subdirectories coarse, medium, and fine each contain 135 .csv files, each of which contains a single multivariate time series… See the full description on the dataset page: https://huggingface.co/datasets/williamgilpin/dysts.

Author / organizationwilliamgilpin
License (as declared)cc-by-4.0
Downloads874 (as reported by Hugging Face)
Likes1
Created17 October 2024
Last updated at source3 November 2024
timemultivariateforecastingunivariate-time-series-forecastingmultivariate-time-series-forecasting
Embed this entry
<iframe src="https://silytics.si/embed/item/bb70c554-3a14-47b0-ba2c-730ab3e14547" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from williamgilpin

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.