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YAML Metadata Warning:The task_categories "computer-vision" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
🎨 Master Unified Real-to-Anime Dataset (55,257 Images)
This repository contains the unified, sequentially indexed 55,257 Photographic Images partitioned into 4 structured parts for distributed multi-GPU conversion on Kaggle (2x Tesla T4 GPUs).
📊 Dataset Structure
- Total Images: 55,257 images (from 30 categories, 3,030 galleries)
- File Naming: Sequentially indexed from
00000.jpgto55256.jpg - Resolution: 100% Native Full-Resolution (Average ~1280×1551, up to 1920×1920)
- Metadata:
master_manifest.jsonmaps every filename to its original category and gallery.
📦 4-Way Balanced Partitions
| File | Image Range | Count | Size | Target Kaggle Account |
|---|---|---|---|---|
dataset_part1.zip |
00000.jpg ➡️ 13814.jpg |
13,815 | 2.08 GB | Kaggle Account #1 (PART_NUM = 1) |
dataset_part2.zip |
13815.jpg ➡️ 27629.jpg |
13,815 | 2.08 GB | Kaggle Account #2 (PART_NUM = 2) |
dataset_part3.zip |
27630.jpg ➡️ 41444.jpg |
13,815 | 2.08 GB | Kaggle Account #3 (PART_NUM = 3) |
dataset_part4.zip |
41445.jpg ➡️ 55256.jpg |
13,812 | 2.15 GB | Kaggle Account #4 (PART_NUM = 4) |
⚡ Converted Output Destination
Each Kaggle worker converts its part and automatically uploads the output paired archive to:
outputs/Paired_Dataset_Part_{PART_NUM}.zip
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