license: mit
task_categories:
- image-classification
- image-to-image
- text-to-image
language:
- en
- ja
pretty_name: yandere2023
size_categories:
- 1M<n<10M
Yandere2023: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset
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.
- Shared by: Nyanko Devs
- Language(s): English, Japanese
- License: MIT
Uses
Format
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.
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.
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:
$ tree / | less
/
├── yandere2023 -> /mnt/diffusionstorage/workspace/yandere/
│ ├── metadata
│ ├── readme.md
│ ├── original
│ │ ├── 0000 -> data-0000.tar
│ │ ├── 0001 -> data-0001.tar
│ │ │ ├── 10001.jpg
│ │ │ ├── 210001.png
│ │ │ ├── 3120001.webp
│ │ │ ├── 6513001.jpg