datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
OpenFake
Dataset Card for OpenFake
OpenFake is a dataset and benchmark for detecting AI-generated images, with a focus on politically and socially salient content where misinformation risk is highest. It pairs real photographs with synthetic counterparts produced by a wide range of frontier proprietary generators, open-source diffusion models, and community fine-tunes. A separate in-the-wild test set is sourced from Reddit to evaluate detector performance on naturally circulated… See the full description on the dataset page: https://huggingface.co/datasets/ComplexDataLab/OpenFake.OpenSDI_trainThis repository contains the OpenSDI training dataset, presented in the paper OpenSDI: Spotting Diffusion-Generated Images in the Open World.
Code: https://github.com/iamwangyabin/OpenSDI
OpenSDI_test
OpenSDI: Spotting Diffusion-Generated Images in the Open World
This dataset is designed to address the OpenSDI challenge: spotting diffusion-generated images in realistic, open-world scenarios. It is described in the paper:
Project Page: https://iamwangyabin.github.io/OpenSDI/
OpenSDID Dataset Highlights:
User Diversity: Simulates a wide range of user intentions and creative styles using diverse text prompts generated by VLMs.
Model Innovation: Includes images from multiple… See the full description on the dataset page: https://huggingface.co/datasets/nebula/OpenSDI_test.Open-Pixel-1T
🌌 Open-Pixel-1T (Visual Atlas)
A Large-Scale, High-Entropy Synthetic Image Dataset for Foundational Pre-Training
📑 Dataset Summary
Open-Pixel-1T is a monumental open-source initiative designed to create a "Visual Atlas" of stochastic imagery. Unlike traditional datasets scraped from social media which contain inherent human bias, Open-Pixel-1T is constructed using high-entropy random seeds to generate unique, diverse visual signals.
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/LAYEK-143/Open-Pixel-1T.openbrush
OpenBrush-75K
A curated dataset of 75,313 public domain artworks with rich, structured VLM-generated captions designed for training image generation models, fine-tuning vision-language models, and art analysis research.
Dataset Description
OpenBrush-75K contains high-quality reproductions of paintings from the Western art canon, spanning from the Renaissance to the early 20th century. Each image is paired with a detailed structured caption generated by a… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openbrush.closed-open-eyes
👀 Open and Closed Eyes Dataset
Welcome to the Open and Closed Eyes Dataset! This dataset is designed to help researchers and developers in computer vision and machine learning tasks, particularly in recognizing and distinguishing between open and closed eyes in various contexts. Below, you'll find a detailed description of the dataset structure, categories, and how to interpret the data. 🌟
📁 Dataset Structure
The dataset is stored in Parquet files, ensuring efficient… See the full description on the dataset page: https://huggingface.co/datasets/MichalMlodawski/closed-open-eyes.OpenGameArt-CC0
Dataset Card for OpenGameArt-CC0
Dataset Summary
This dataset contains game artwork assets collected from OpenGameArt.org that are specifically released under the Creative Commons 0 (CC0) license, making them effectively public domain works. The dataset includes various types of game assets such as 2D art, 3D art, concept art, music, sound effects, textures, and documents along with their associated metadata.
Languages
The dataset is primarily monolingual:… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/OpenGameArt-CC0.openclipart
Dataset Card for OpenClipart.org SVG Images
Dataset Summary
This dataset contains 178,604 public domain SVG vector clipart images collected from OpenClipart.org. OpenClipart.org is a community-driven platform where artists share vector clip art explicitly released into the public domain (CC0). The dataset includes the SVG content along with comprehensive metadata such as titles, descriptions, artist names, creation dates, tags, and image URLs. The SVG files in this… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/openclipart.OpenAI-4o_t2i_human_preference
Rapidata OpenAI 4o Preference
This T2I dataset contains over 200'000 human responses from over ~45,000 individual annotators, collected in less than half a day using the Rapidata Python API, accessible to anyone and ideal for large scale evaluation.
Evaluating OpenAI 4o (version from 26.3.2025) across three categories: preference, coherence, and alignment.
Explore our latest model rankings on our website.
If you get value from this dataset and would like to see more in the… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/OpenAI-4o_t2i_human_preference.OpenGVLab_Lumina_t2i_human_preference
Rapidata Lumina Preference
This T2I dataset contains over 400k human responses from over 86k individual annotators, collected in just ~2 Days using the Rapidata Python API, accessible to anyone and ideal for large scale evaluation.
Evaluating Lumina across three categories: preference, coherence, and alignment.
Explore our latest model rankings on our website.
If you get value from this dataset and would like to see more in the future, please consider liking it.… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/OpenGVLab_Lumina_t2i_human_preference.OpenSDIDplus
OpenSDID+
OpenSDID+ is an extended release of the OpenSDI dataset. It complements the original SD1.5 training split with large-scale images from the remaining OpenSDI generators: SD2, SD3, SDXL, and FLUX.
The dataset follows the OpenSDI challenge introduced in "OpenSDI: Spotting Diffusion-Generated Images in the Open World". OpenSDI studies detection and localization of diffusion-generated images under realistic open-world settings, including diverse user intentions, evolving… See the full description on the dataset page: https://huggingface.co/datasets/nebula/OpenSDIDplus.imet-open-access
iMet Open Access
A multi-label image classification dataset of 259,559 artworks and objects from The Metropolitan Museum of Art,
built from the Met's official CC0 Open Access release (metmuseum/openaccess).
It follows the spirit of the Kaggle iMet Collection challenges (FGVC6 2019 / FGVC7 2020): long-tail, fine-grained attribute
recognition from museum photography, with subject tags, culture, medium (material / technique) and country labels.
This is not the Kaggle iMet data.… See the full description on the dataset page: https://huggingface.co/datasets/timm/imet-open-access.openbrush-baroque
OpenBrush Baroque
Baroque works from OpenBrush-75K (~1600–1750) — chiaroscuro, religious painting, dramatic light.
Curated subset of jaddai/openbrush. Same CC0 license, same caption schema, same VLM (Qwen3-VL-30B-A3B). This subset exists so you don't have to download 75,313 images to get to the 4,240 you actually want.
Why this subset
The canonical Baroque visual language — Caravaggio, Rembrandt, Vermeer, Velázquez, Rubens. Useful for models learning dramatic… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openbrush-baroque.openbrush-impressionism
OpenBrush Impressionism
Every Impressionist work from OpenBrush-75K — the largest movement subset.
Curated subset of jaddai/openbrush. Same CC0 license, same caption schema, same VLM (Qwen3-VL-30B-A3B). This subset exists so you don't have to download 75,313 images to get to the 12,798 you actually want.
Why this subset
Broad-coverage subset for training on the Impressionist visual language: broken brushwork, light-on-color theory, plein-air staging, atmospheric… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openbrush-impressionism.openbrush-75k
OpenBrush-75K
A curated dataset of 75,313 public domain artworks with rich, structured VLM-generated captions designed for training image generation models, fine-tuning vision-language models, and art analysis research.
Dataset Description
OpenBrush-75K contains high-quality reproductions of paintings from the Western art canon, spanning from the Renaissance to the early 20th century. Each image is paired with a detailed structured caption generated by a vision-language… See the full description on the dataset page: https://huggingface.co/datasets/Trever896/openbrush-75k.cc12m-cleaned
CC12m-cleaned
This dataset builds on two others: The Conceptual Captions 12million dataset, which lead to the LLaVa captioned subset done by
CaptionEmporium
(The latter is the same set, but swaps out the (Conceptual Captions 12million) often-useless alt-text captioning for decent ones_
I have then used the llava captions as a base, and used the detailed descrptions to filter out
images with things like watermarks, artist signatures, etc.
I have also manually thrown out all… See the full description on the dataset page: https://huggingface.co/datasets/opendiffusionai/cc12m-cleaned.openbrush-landscapes
OpenBrush Landscapes
Every landscape painting from OpenBrush-75K — across all artists, movements, and centuries. Largest single-genre subset.
Curated subset of jaddai/openbrush. Same CC0 license, same caption schema, same VLM (Qwen3-VL-30B-A3B). This subset exists so you don't have to download 75,313 images to get to the 12,612 you actually want.
Why this subset
Every landscape across the parent dataset's full range — Romantic wildernesses, Impressionist… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openbrush-landscapes.OpenJev-Vision-Research-v0.1
OpenJev Vision Research v0.1
12,832 image records, with public provenance, original synthetic scenes,
and programmatically derived decision questions.
This is an experimental research dataset for visual posterior learning and
compositional decisions, released with OpenJev.
It is not a reproduction of TypeSafe's proprietary Jev model or training method.
Three separate configurations
Config
Images
What the labels mean
License
synthetic
8,192
Exact… See the full description on the dataset page: https://huggingface.co/datasets/IamBusy/OpenJev-Vision-Research-v0.1.nationalmuseet-open-images
Nationalmuseet Open Images
This dataset is an independently harvested research dataset from Nationalmuseet Samlinger Online.
It contains metadata and optionally WebDataset image shards for Nationalmuseet asset records whose
rights.license is one of:
Public Domain
CC-BY
No known rights
Public Domain and CC-BY are the strict open-license subset. No known rights is kept as a
separate license bucket because Nationalmuseet says this label means that, to their best assessment,
the… See the full description on the dataset page: https://huggingface.co/datasets/V4ldeLund/nationalmuseet-open-images.closed-open-eyes
👀 Open and Closed Eyes Dataset
Welcome to the Open and Closed Eyes Dataset! This dataset is designed to help researchers and developers in computer vision and machine learning tasks, particularly in recognizing and distinguishing between open and closed eyes in various contexts. Below, you'll find a detailed description of the dataset structure, categories, and how to interpret the data. 🌟
📁 Dataset Structure
The dataset is stored in Parquet files, ensuring efficient… See the full description on the dataset page: https://huggingface.co/datasets/VasilyLoginov/closed-open-eyes.OpenGameArt-CC-BY-3.0
Dataset Card for OpenGameArt-CC-BY-3.0
Dataset Summary
This dataset contains game artwork assets collected from OpenGameArt.org that are specifically released under the Creative Commons Attribution 3.0 (CC-BY-3.0) license. The dataset includes various types of game assets such as 2D art, 3D art, concept art, music, sound effects, textures, and documents along with their associated metadata.
Languages
The dataset is primarily monolingual:
English (en): All… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/OpenGameArt-CC-BY-3.0.OpenGameArt-CC-BY-SA-3.0
Dataset Card for OpenGameArt-CC-BY-SA-3.0
Dataset Summary
This dataset contains game artwork assets collected from OpenGameArt.org that are specifically released under the Creative Commons Attribution-ShareAlike 3.0 Unported (CC-BY-SA-3.0) license. The dataset includes various types of game assets such as 2D art, 3D art, concept art, music, sound effects, textures, and documents along with their associated metadata.
Languages
The dataset is primarily… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/OpenGameArt-CC-BY-SA-3.0.OpenGameArt-OGA-BY-3.0
Dataset Card for OpenGameArt-OGA-BY-3.0
Dataset Summary
This dataset contains game artwork assets collected from OpenGameArt.org that are specifically released under the OpenGameArt Attribution (OGA-BY-3.0) license. The dataset includes various types of game assets such as 2D art, 3D art, concept art, music, sound effects, textures, and associated metadata.
Languages
The dataset is primarily monolingual:
English (en): All asset descriptions and metadata are in… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/OpenGameArt-OGA-BY-3.0.openbrush-impressionist-landscapes
OpenBrush Impressionist Landscapes
Cross-cut subset: Impressionist landscape paintings from OpenBrush-75K. The most-targeted style+genre combination for Impressionist landscape LoRA training.
Curated subset of jaddai/openbrush. Same CC0 license, same caption schema, same VLM (Qwen3-VL-30B-A3B). This subset exists so you don't have to download 75,313 images to get to the 4,308 you actually want.
Why this subset
The intersection of the largest movement… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openbrush-impressionist-landscapes.openart-items-artifacts
OpenArt — Items & Artifacts
openart-items-artifacts is the items artifacts subject collection of the OpenArt family
of open, public-domain art datasets: 25,750 works (11,317 paintings/illustrations · 14,216
photographed objects · 217 unclassified), each paired with a structured VLM caption plus
medium, attribution and inscription metadata.
Human-made objects and the decorative arts — vessels, tools, arms and armor, textiles, furniture and ornament — both as physical artifacts… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openart-items-artifacts.OpenGameArt-Mixed-Licenses
Dataset Card for OpenGameArt-Mixed-Licenses
Dataset Summary
This dataset contains game artwork assets collected from OpenGameArt.org that are available under multiple licenses simultaneously. This dataset includes assets where creators have made their work available under two or more license options. The dataset includes various types of game assets such as 2D art, 3D art, concept art, music, sound effects, textures, and documents along with their associated metadata, all… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/OpenGameArt-Mixed-Licenses.openart-portraits-classical
OpenArt — Portraits & the Classical Figure
openart-portraits-classical is the portraits classical subject collection of the OpenArt family
of open, public-domain art datasets: 28,011 works (13,868 paintings/illustrations · 13,970
photographed objects · 173 unclassified), each paired with a structured VLM caption plus
medium, attribution and inscription metadata.
The human figure and portraiture across the full range of media — painted and drawn portraits alongside photographic… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openart-portraits-classical.openbrush-religious-art
OpenBrush Religious Art
Religious paintings from OpenBrush-75K — saints, biblical scenes, devotional works.
Curated subset of jaddai/openbrush. Same CC0 license, same caption schema, same VLM (Qwen3-VL-30B-A3B). This subset exists so you don't have to download 75,313 images to get to the 6,119 you actually want.
Why this subset
A coherent visual genre: religious narrative painting from medieval through early modern. Heavy on Renaissance and Baroque eras. Common… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openbrush-religious-art.uchen_ume_classification_dataset
Uchen–Ume Classification Benchmark
A binary image classification dataset for distinguishing two fundamental categories of Tibetan script: Uchen (དབུ་ཅན།, headed script with a horizontal top stroke) and Ume (དབུ་མེད།, headless script without a top stroke). All images are raw, unprocessed manuscript scans from the Buddhist Digital Resource Center (BDRC).
Model: openpecha/uchen-ume-classifier
Dataset summary
Split
Examples
Uchen
Ume
Train
9,110
~3,124
~5,986… See the full description on the dataset page: https://huggingface.co/datasets/openpecha/uchen_ume_classification_dataset.OpenGameArt-CC-BY-4.0
Dataset Card for OpenGameArt-CC-BY-4.0
Dataset Summary
This dataset contains game artwork assets collected from OpenGameArt.org that are specifically released under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license. The dataset includes various types of game assets such as 2D art, 3D art, concept art, music, sound effects, textures, and documents along with their associated metadata.
Languages
The dataset is primarily monolingual:
English… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/OpenGameArt-CC-BY-4.0.