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 / organization | ivanjaenm |
|---|---|
| Downloads | 129 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 30 September 2026 |
| Last updated at source | 30 September 2026 |
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 Information may be incomplete or out of date.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.