datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Cat-Mangammu_manga
mmu_manga HATS Catalog Collection
This is the collection of HATS catalogs representing mmu_manga.
This dataset is part of the Multimodal Universe,
a large-scale collection of multimodal astronomical data. For full details, see the paper:
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TBs of Astronomical Scientific Data.
Access the catalog
We recommend the use of the LSDB Python framework to access HATS catalogs.
LSDB can be installed via… See the full description on the dataset page: https://huggingface.co/datasets/hugging-science/mmu_manga.manga-colorization-datasetcleaned_manga_dataset
Licensing and source material
This repository contains derived/processed images from publicly accessible manga
sources (GANMA! and Comic Walker / カドコミ). The original works are copyrighted by
their respective rights holders. No ownership of the original artwork is claimed.
The CC BY-NC 4.0 license applies only to the annotations and dataset metadata
created by the dataset authors, not to the underlying original artwork.
Unpacking the dataset
The dataset ships as a… See the full description on the dataset page: https://huggingface.co/datasets/Vasyanator2/cleaned_manga_dataset.mangaManga-Drawings
Dataset Card: MangaDF Text-to-Image Prompts Dataset
Dataset Description
Image Source: Images generated by alvdansen/BandW-Manga weights on ChanY/Stable-Flash-Lighting modelPrompt Source: ChatGPT
Overview
The MangaDF Text-to-Image Prompts Dataset is a collection of text prompts paired with corresponding images. The images in this dataset were generated using the alvdansen/BandW-Manga weights applied to the ChanY/Stable-Flash-Lighting diffusion model. This… See the full description on the dataset page: https://huggingface.co/datasets/Chan-Y/Manga-Drawings.mangamanga_bubbles_detect
Manga Speech Bubble Detection Dataset
Dataset for detecting speech bubble locations in manga pages.2 671 images — 1 class: location-of-bubbles.
Dataset Structure
Split
Images
Labels
train
2 056
2 056
val
404
404
test
211
211
images/
train/ # 2056 × .jpg
val/ # 404 × .jpg
test/ # 211 × .jpg
labels/ # YOLO .txt, mirrors images/
dataset.yaml
manga_bubbles_detect.py # HF loading script
Annotation Format
YOLO —… See the full description on the dataset page: https://huggingface.co/datasets/PSImera/manga_bubbles_detect.manga2Mmanga exhentai site majorly lang EN, JP, from all (nyaa. si) torrents-exclude huge 300GB+ UBUCA, Exhentai Mothercon Archive with no seeders. Convert to .webp and approximately keep only manga with text using DB_TD500_resnet50;
Intended use for bubble box+OCR training model on 2.2M images.
If proced to label OCR of all image, it would take two months...
April 2026: Added ~150 GB in folder [猫の仓库] 汉化本合集（上半）[3037本] of 243,703 images (WebP q85) across 2332 manga, include no-text images, seed… See the full description on the dataset page: https://huggingface.co/datasets/Zicara/manga2M.Manga109-s
Manga109 Homepage
https://manga109.github.io/manga109-project-website
Academic Use
Non-academic Use
Academic Institutions (e.g. University)
Manga109
Manga109-s
Others (e.g. Company)
Manga109-s
Manga109-s
⚠️ Important Notice ⚠️
Starting from May 21, 2026, we distribute Manga109-s-v2026, an updated version of the dataset in which the annotations were revised and improved in 2026, following the methodology this paper.
To unify image sizes across… See the full description on the dataset page: https://huggingface.co/datasets/hal-utokyo/Manga109-s.MangaSegmentationmangakasantoassistantsanto
Bangumi Image Base of Mangaka-san To Assistant-san To
This is the image base of bangumi Mangaka-san to Assistant-san to, we detected 10 characters, 3298 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1%… See the full description on the dataset page: https://huggingface.co/datasets/BangumiBase/mangakasantoassistantsanto.Manga109
Manga109 Homepage
https://manga109.github.io/manga109-project-website
Academic Use
Non-academic Use
Academic Institutions (e.g. University)
Manga109
Manga109-s
Others (e.g. Company)
Manga109-s
Manga109-s
⚠️ Important Notice ⚠️
Manga109 is for academic use. To apply for its use, the Primary email address in your Hugging Face account settings must be from an academic institution such as a university or equivalent (e.g. an email address ending in… See the full description on the dataset page: https://huggingface.co/datasets/hal-utokyo/Manga109.manga-syntheticmangadex-images-30kNSFW_Manga
NSFW Manga Metadata Dataset
Dataset Summary
Comprehensive metadata for 111,849 manga entries from nhentai, covering IDs 1-631998.
Date Range: June 28, 2014 - February 22, 2026
Dataset Structure
Fields
id (int): Unique manga identifier
title (str): Full manga title
date (str): Upload date (YYYY-MM-DD)
favorites (int): Number of favorites
num_pages (int): Page count
cover_image (str): Cover image URL
parodies (list): Source material… See the full description on the dataset page: https://huggingface.co/datasets/NoobEngineere/NSFW_Manga.MangaZero
Introduction
MangaZero dataset from paper DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Please see GitHub repo to get the usage
Project page: https://jianzongwu.github.io/projects/diffsensei
The "type" key in character annotation
Type = 0: Characters with clean faces
Type = 1: Characters with vague faces
Type = 2: Exaggerated, artistic characters with appearances that don't conform to typical standards.
manga109-segmentation
Manga109 Segmentation
Manga109 Segmentation is an annotation-only dataset for manga layout and
instance segmentation. The current release is v2.0.0. It contains COCO RLE
masks for text, onomatopoeia, bubble, and panel, plus containment
relations and Japanese transcriptions where available.
Manga109 images are not included. Obtain Manga109 separately and follow
its terms. Every images[].file_name is relative to the Manga109 images/
directory.
What changed in v2.0.0… See the full description on the dataset page: https://huggingface.co/datasets/mayocream/manga109-segmentation.pixiv_png_mangaprompt-injection-multilayerNegima-manga-reference-chapters
Negima Manga Reference Chapters (Public)
Personal reference dataset for AI image & video generation (Artlist Seedance 2.0, Kling, LoRAs, etc.).
Mahou Sensei Negima! (Negima!) by Ken Akamatsu
UQ Holder! (sequel series) — Chapters added
Perfect for consistent characters (Asuna, Setsuna, Konoka, Touta, Kirie, etc.), magic circles, pactio cards, Ensis Exsequens slashes, wind blades, immortal fights, and Ken Akamatsu art style.
english versions coming soon
What's inside… See the full description on the dataset page: https://huggingface.co/datasets/Zentoria/Negima-manga-reference-chapters.mangasMangaSegmentation
Advancing Manga Analysis: Comprehensive Segmentation Annotations for the Manga109 Dataset
License
Please check the LICENSE file for more details.
All images in the segmentation annotations are owned and copyrighted by Minshan Xie.
You are automatically granted permission to use the images for academic and commercial
usages, provided that the image credit "Copyrighted by Minshan Xie" is included in
any form of publication, reproduction, redistribution, or derivatives of… See the full description on the dataset page: https://huggingface.co/datasets/MS92/MangaSegmentation.Genshin-Impact-3d-Kenburns-Manga
MangaOCR
MangaOCR Dataset
Dataset Details
This is the MangaOCR dataset. We constructed this dataset by consolidating annotations from the Manga109 dataset and the manga onomatopoeia dataset.
It contains approximately 209K narrative text instances, spanning a wide variety of visual styles and layouts.
MangaImagesDatasetJapanese_Mangahausa_aug_lex
title: Lexicon Dataset for the Hausa Language
Dataset with English translation
license: cc-by-nd-4.0
manga-colorization-datasetmanga-covers-text-detection
Manga Covers Text Detection
Manually annotated text boxes for manga covers text detection created by @JustANormalTinkerer.
This dataset contains 100 cover images and 526 manually annotated text rectangles. The image column is a Hugging Face image feature containing the original image bytes. The boxes column contains normalized pixel-coordinate bounding boxes in [x_min, y_min, x_max, y_max] format, the original points, label, and shape metadata. annotation_json preserves the… See the full description on the dataset page: https://huggingface.co/datasets/petersunde/manga-covers-text-detection.