Sign inGet started
Dataset · Hugging Face

ivanjaenm/torot_data_2M

ToR-OT v2 synthetic optimal-transport corpus Discrete Kantorovich instances with exact sparse optimal plans, generated by python -m torot.data.generate from the ToR-OT code release ("Learning Optimal Transport Plans Via Autoregressive Token Regression", NeurIPS 2026). Each record is one instance: field description n, m number of source / target bins dim support dimension (1) cost_type one of sqeuclidean, euclidean, cityblock, chebyshev, minkowski, canberra… See the full description on the dataset page: https://huggingface.co/datasets/ivanjaenm/torot_data_2M.

Author / organizationivanjaenm
Downloads129 (as reported by Hugging Face)
Likes0
Created30 September 2026
Last updated at source30 September 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/17175a4a-3ebb-4e98-9d77-0c8fced9a5b9" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from ivanjaenm

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.