Datasets:
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README.md
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
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With the growing interest on generative video models and AI animations, the scarcity of proper animation-related video datasets <becomes a problem>/
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The dataset was created as an attempt to provide handy information both for animation enthusiasts as well as industry researchers, to advance the growing frontier of animation-video research.
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The dataset could be useful in areas such as:
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- Animation-related text-to-video training
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- Animation understanding for multimodal models
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- Video quality/aesthetics analysis
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## Dataset Details
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This dataset
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```
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all files: 404160
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image files: 8680, video files: 155238, json files: 240242
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total unique files: 404160
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last post id: 273264
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```
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- **Curated by:** [trojblue](https://huggingface.co/trojblue)
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- **Language(s) (NLP):**
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- **License:**
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## Dataset Structure
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The dataset itself follows the [WebDataset](https://github.com/webdataset/webdataset) conventions, where each tar contains media files of around 1GB, along with their metadata:
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```bash
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./media/0.tar
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# ./train/0.tar/{sakuga_5306.webm}
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# ./train/0.tar/{sakuga_5306.json}
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```
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The index file `./sakugabooru-index.json` is generated
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```bash
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widsindex *.tar > mydataset-index.json
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```
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## Dataset Creation
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The dataset is sourced directly from Sakugabooru by quering ids from 0 to latest:
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```bash
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https://www.sakugabooru.com/post/show/{id}
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```
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Since Sakugabooru doesn't have danbooru-like direct json support, metadata are collected and formatted by visiting the site and retrieving relevant parts from the page.
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For future references, the scraper code has also been released here: [arot-devs/sakuga-scraper: SakugaBooru scraper](https://github.com/arot-devs/sakuga-scraper/tree/main)
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Each post's metadata json contains information in format similar to:
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```json
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{
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"post_url": "https://www.sakugabooru.com/post/show/100112",
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"image_url": null,
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"tags": {},
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"posted": "Mon Sep 30 00:41:05 2019",
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"timestamp": "2019-09-30T00:41:05",
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"width": 808,
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"height": 808,
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"pixels": 652864,
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"rating": "Safe",
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"score": "0",
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"favorited_by": [],
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"favorite_count": 0,
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"status_notice": [
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"This post was deleted.\n\n Reason:
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]
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"status_notice_parsed": {}
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}
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```
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No additional processings are done to the data other than collecting metadata from the page.
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## Bias, Risks, and Limitations
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### Recommendations
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- [Sakuga Blog – The Art of Japanese Animation](https://blog.sakugabooru.com/)
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You can
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- [Sakugabooru | Patreon](https://www.patreon.com/Sakugabooru)
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
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# Sakugabooru2025: Curated Animation Clips from Enthusiasts
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[Sakugabooru.com](https://www.sakugabooru.com/post) is a booru-style imageboard dedicated to collecting and sharing noteworthy animation clips, emphasizing Japanese anime but open to creators worldwide. Over the years, it has amassed more than 240,000 animation clips, alongside informative [blog posts](https://blog.sakugabooru.com/) for anime fans everywhere.
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With the growing interest in generative video models and AI animations, the scarcity of proper animation-related video datasets has become a challenge. This dataset was created to provide resources for animation enthusiasts and industry researchers, to help advancing the frontier of animation-video research.
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Potential uses include:
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- text-to-video training
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- multimodal animation research
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- video quality/aesthetics analysis
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## Dataset Details
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This dataset includes over 155,238 video clips and 8,680 images of unique or noteworthy animation:
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```yaml
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image files: 8680, video files: 155238, json files: 240242
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total unique files: 404160
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last post id: 273264
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```
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Note that Sakugabooru’s archives have been reduced by DMCA strikes over the years. Popular titles like [Mob Psycho 100](https://www.reddit.com/r/AnimeSakuga/comments/10du14k/alternatives_to_sakugabooru_for_mob_psycho_100/) may not appear because they were removed from the site.
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- **Curated by:** [trojblue](https://huggingface.co/trojblue)
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- **Language(s) (NLP):** English, Japanese
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- **License:** MIT
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## Dataset Structure
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Files are split into tar archives by post ID **modulo 1,000**:
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- Example: post ID **42** goes to `0000.tar`, post ID **5306** goes to `0005.tar`.
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- Each tar is about 1GB, suitable for large-batch data processing.
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The dataset follows [WebDataset](https://github.com/webdataset/webdataset) conventions, with each tar containing media files (~1GB) plus metadata:
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```bash
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./media/0.tar
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# ./train/0.tar/{sakuga_5306.webm}
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# ./train/0.tar/{sakuga_5306.json}
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```
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The index file `./sakugabooru-index.json` is generated using `widsindex` (see [WebDataset FAQ](https://github.com/webdataset/webdataset/blob/main/FAQ.md)):
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```bash
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widsindex *.tar > mydataset-index.json
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```
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## Dataset Creation
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This dataset is sourced directly from Sakugabooru by querying IDs from 0 up to the latest, by Dec.28, 2024:
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```bash
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https://www.sakugabooru.com/post/show/{id}
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```
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### Data Collection and Processing
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Since Sakugabooru lacks a direct JSON API, metadata were gathered by visiting each page and extracting relevant parts. The scraper code is available here: [arot-devs/sakuga-scraper](https://github.com/arot-devs/sakuga-scraper/tree/main).
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Each post’s JSON metadata follows a format like:
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```json
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{
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"post_url": "https://www.sakugabooru.com/post/show/100112",
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"image_url": null,
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"tags": {},
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...
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"status_notice": [
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"This post was deleted.\n\n Reason: ..."
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]
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}
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```
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No additional processing was performed beyond metadata collection.
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## Bias, Risks, and Limitations
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Owing to DMCA takedowns, duplicates, or other factors, only about 60% (163,918 of 273,264) post IDs have attached media. The selection also tends to favor older Japanese animations.
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### Recommendations
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For more interesting reads about animation, visit: [Sakuga Blog – The Art of Japanese Animation](https://blog.sakugabooru.com/)
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You can support Sakugabooru through: [Sakugabooru | Patreon](https://www.patreon.com/Sakugabooru)
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