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--- |
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license: mit |
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task_categories: |
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- image-classification |
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- image-to-image |
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- text-to-image |
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language: |
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- en |
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- ja |
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pretty_name: yandere2023 |
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size_categories: |
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- 1M<n<10M |
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--- |
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# Yandere2023: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset |
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<!-- yande.re --> |
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Yandere2023 is a comprehensive anime image dataset with over 1.2 million high-quality images sourced from various materials, including key frames, manga scans, artbooks, and more. While the average number of tags per image is relatively low, the dataset boasts a diverse collection of images with exceptional quality. |
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- **Shared by:** Nyanko Devs |
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- **Language(s):** English, Japanese |
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- **License:** MIT |
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## Uses |
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## Format |
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The goal of the dataset is to be as easy as possible to use immediately, avoiding obscure file formats, while allowing simultaneous research & seeding of the torrent, with easy updates. |
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Images are provided in the full original form (be that JPG, PNG, GIF or otherwise) for reference/archival purposes, and bucketed into 1000 subdirectories 0000–0999 (0-padded), which is the Yandere ID modulo 1000 (ie. all images in 0999/ have an ID ending in ‘999’); IDs can be turned into paths by dividing & padding (eg. in Bash, BUCKET=$(printf "%04d" $(( ID % 1000 )) )) and then the file is at original/$BUCKET/$ID.$EXT. |
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The reason for the bucketing is that a single directory would cause pathological filesystem performance, and modulo ID is a simple hash which spreads images evenly without requiring additional future directories to be made or a filesystem IO to check where the file is. The ID is not zero-padded and files end in the relevant extension, hence the file layout looks like this: |
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```bash |
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$ tree / | less |
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/ |
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├── yandere2023 -> /mnt/diffusionstorage/workspace/yandere/ |
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│ ├── metadata |
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│ ├── readme.md |
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│ ├── original |
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│ │ ├── 0000 -> data-0000.tar |
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│ │ ├── 0001 -> data-0001.tar |
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│ │ │ ├── 10001.jpg |
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│ │ │ ├── 210001.png |
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│ │ │ ├── 3120001.webp |
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│ │ │ ├── 6513001.jpg |
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``` |
