lsmpp/coolrefine-dataset
CoolRefine Dataset This dataset is organized for ColdRefine training. Format Each sample uses the same six-digit stem across the following directories: input/: degraded or source image used as the training input. supervise/: clean target image used as supervision. mask/: binary mask indicating the edited/refined region. referenced/: reference/product image aligned by sample stem. no_ref_prompt/: no-reference English edit instruction. metadata.jsonl contains one… See the full description on the dataset page: https://huggingface.co/datasets/lsmpp/coolrefine-dataset.
| Author / organization | lsmpp |
|---|---|
| License (as declared) | other |
| Downloads | 609 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 9 May 2026 |
| Last updated at source | 13 May 2026 |
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Recent changes
- 17 Oct 2026 Description: CoolRefine Dataset This dataset is organized for ColdRefine training. Format Each sample uses the same six-digit stem across the following directories: input/: degraded or source image used as the training input. supervise/: clean target im → CoolRefine Dataset This dataset is organized for ColdRefine training. Format Each sample uses the same six-digit stem across the following directories: input/: degraded or source image used as the training input. supervise/: clean target im
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.