Datasets:
| pretty_name: Real Image Restoration Dataset | |
| task_categories: | |
| - image-to-image | |
| language: | |
| - en | |
| size_categories: | |
| - 1K<n<10K | |
| configs: | |
| - config_name: default | |
| drop_labels: true | |
| # Real Image Restoration Dataset | |
| This dataset contains 9734 reproducibly sampled anime images for image restoration. | |
| Each row contains: | |
| - `ref1`: a degraded full-image reference generated from the original image, saved as WebP by default. | |
| - `target`: the original clean image, saved as lossless WebP by default. | |
| - `edit_instruction`: an English instruction asking the model to restore clarity. | |
| - metadata columns: source paths, captions, descriptions, degradation settings, dimensions, and seeds. | |
| The dataset was generated with seed `251100`. | |
| ## Hugging Face layout | |
| ```text | |
| train/ | |
| ref1/ | |
| prompt/ | |
| target/ | |
| metadata.jsonl | |
| README.md | |
| ``` | |
| `metadata.jsonl` uses `ref1_file_name` and `target_file_name` so Hugging Face ImageFolder can display two image columns in the Dataset Viewer. | |
| This dataset is generated by CPU image processing only. It does not use model inference. WebP is used by default to reduce storage while keeping Hugging Face Dataset Viewer compatibility. | |