mohan2/StyleTransfer-Reward-StyleScore

--- license: apache-2.0 task_categories: - image-to-image tags: - style-transfer - reward-model - preference-learning size_categories: - 100K<n<1M --- # StyleTransfer-Reward-StyleScore Complete Reward Model training data from **StyleScore evaluation pipeline**. ## 📊 Data Contents (~292GB total) ### Core Reward Data | Archive | Size | Description | |---------|------|-------------| | `style_images.tar.part_*` | 123GB | Winner images (高质量风格化结果) | | `genref_wds_content.tar.part_*` | 122GB | Content images (原始内容图) | | `loser_images.tar` | 14GB | Loser images (低质量对比) | ### Pair Configuration | Archive | Size | Description | |---------|------|-------------| | `cnt_sty_pairs_cfg.tar` | 3.4GB | 100k pairs 配对配置 (JSONL) | | `omnistyle_content.tar` | 2.6GB | OmniStyle content 图片 | ### Style References | Archive | Size | Description | |---------|------|-------------| | `style30k_processed.tar` | 3.4GB | Style30K 风格参考图库 | | `wikiart_general_processed.tar` | 4.9GB | WikiArt 评测数据 | | `style_image_synthesis.tar.part_*` | 19GB | 风格合成数据 | ## 🚀 Usage ```bash # Merge split archives cat style_images.tar.part_* > style_images.tar cat genref_wds_content.tar.part_* > genref_wds_content.tar # Extract all for f in *.tar; do tar -xvf "$f"; done ``` ## 📝 Pair Format Training pairs in `cnt_sty_pairs_cfg/pairs_run_100k.jsonl`: - `winner`: Higher StyleScore (better style transfer quality) - `loser`: Lower StyleScore (worse quality) - `content`: Original input image