datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PIPE
Dataset Card for PIPE Dataset
Dataset Summary
The PIPE (Paint by InPaint Edit) dataset is designed to enhance the efficacy of mask-free, instruction-following image editing models by providing a large-scale collection of image pairs and diverse object addition instructions. Comprising approximately 1 million image pairs, PIPE includes both source and target images, along with corresponding natural language instructions for object addition. The dataset leverages extensive… See the full description on the dataset page: https://huggingface.co/datasets/paint-by-inpaint/PIPE.Chinese_Landscape_Painting
数据集名称
Chinese_Landscape_Painting
数据集简介
这是一份为南京大学智能科学与技术专业大二秋季学期课程人工智能导论课程的项目训练而搭建的数据集。
由于目前较大规模、高质量、且适应现代flux模型的高分辨率的山水画数据集稀缺，故我们搭建了这个数据集，以进行flux模型的lora微调训练。
数据集包含了1017张局部图片，79张全景图片，全部采样自中国山水画的十大名画，并全部带有精细的严格结构化标注。
如果你想使用该数据集进行flux模型训练，可以直接下载并自行修改相应的子文件夹名称以改变每张图片的训练次数。
引用说明
如果您在研究或项目中使用了本数据集，请按以下格式引用：
BibTeX:
@dataset{Chinese_Landscape_Painting,
author = {Wei Liangxu},
title = {Chinese_Landscape_Painting},
year = {2025}… See the full description on the dataset page: https://huggingface.co/datasets/AmazarashiEndure/Chinese_Landscape_Painting.chinese-painting-collection
Chinese Painting Collection
91,438 images of Chinese paintings with bilingual (Chinese/English) VLM captions,
calligraphy OCR transcriptions, view-type classification, a long caption on part
of the set, and foreign-object detection with one final crop box per image.
Sources
Component
Source
Images
Image license
npm_tw_c0–npm_tw_c3
National Palace Museum (Taipei) Open Data
86,666
Taiwan Open Government Data License v1 (attribution required)
met_china… See the full description on the dataset page: https://huggingface.co/datasets/kaupane/chinese-painting-collection.chinese_landscape_paintings
Dataset Card for "chinese_landscape_paintings"
More Information needed
TreeOil_Painting_ScientificJourney_Thailand_CaseStudy🧪 Tree Oil Painting: A Scientific Journey – Thailand Case Study
This dataset documents a rare and detailed forensic investigation of a mysterious 19th-century oil painting, known as The Tree Oil Painting, using scientific methods and AI-assisted analysis. Compiled in Thailand between 2015 and 2025, this work represents a grassroots effort to validate the painting’s origins through physical evidence, pigment mapping, synchrotron spectroscopy, and historical comparison.
🧩 Overview
Title: Tree… See the full description on the dataset page: https://huggingface.co/datasets/HaruthaiAi/TreeOil_Painting_ScientificJourney_Thailand_CaseStudy.paint-defects-roboflow-main
Paint Defects (Roboflow "Main" workspace)
Mirror of the Roboflow Universe "Paint Defects" dataset (workspace main-zxmvk), obtained by
forking the public project into an owned workspace and exporting version 1 (COCO format, no
augmentation applied, auto-orient only). Staged for CoRe's Situational Control paint-inspection
work (core-lab/situational-control).
Source
Original: https://universe.roboflow.com/main-zxmvk/paint-defects-dfbjj
License: CC BY 4.0 (confirmed… See the full description on the dataset page: https://huggingface.co/datasets/imaadd05/paint-defects-roboflow-main.painting_256painting_movements_2painting_movements3Paint3D-GSO-100-outputs
Paint3D GSO-100 Inference Outputs
This dataset contains Paint3D inference results for 100 objects sampled from
Google Scanned Objects (GSO). Each sample is stored in its own directory.
Contents
Each of the 100 sample directories contains five files:
File
Description
input_image.png
Conditioning render of the GSO object
input_mesh.obj
Input GSO mesh
albedo_texture.png
Final UV-space albedo generated by Paint3D
albedo_render.mp4
360-degree turntable… See the full description on the dataset page: https://huggingface.co/datasets/ZeyuLing/Paint3D-GSO-100-outputs.pixelspainting-style-classification
Dataset Labels
['Realism', 'Art_Nouveau_Modern', 'Analytical_Cubism', 'Cubism', 'Expressionism', 'Action_painting', 'Synthetic_Cubism', 'Symbolism', 'Ukiyo_e', 'Naive_Art_Primitivism', 'Post_Impressionism', 'Impressionism', 'Fauvism', 'Rococo', 'Minimalism', 'Mannerism_Late_Renaissance', 'Color_Field_Painting', 'High_Renaissance', 'Romanticism', 'Pop_Art', 'Contemporary_Realism', 'Baroque', 'New_Realism', 'Pointillism', 'Northern_Renaissance', 'Early_Renaissance'… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/painting-style-classification.PIPE_Masks
Dataset Card for PIPE Masks Dataset
Dataset Summary
The PIPE (Paint by InPaint Edit) dataset is designed to enhance the efficacy of mask-free, instruction-following image editing models by providing a large-scale collection of image pairs and diverse object addition instructions.
Here, we provide the masks used for the inpainting process to generate the source image for the PIPE dataset for both the train and test sets.
Further details can be found in our project page… See the full description on the dataset page: https://huggingface.co/datasets/paint-by-inpaint/PIPE_Masks.Sumi-e_no_kurozuappu_ink_painting_closeups
Sumi-e no Kurozuappu Ink Painting Closeups
Dataset Description
This dataset contains 1,250 synthetically generated images of Japanese Sumi-e ink paintings. The images were created to explore the capabilities of diffusion models in replicating the nuanced art style of traditional Japanese ink painting. The dataset is ideal for those interested in niche artistic model creation, generating LORAs, or simply enjoying and sharing these artistic expressions.
Example… See the full description on the dataset page: https://huggingface.co/datasets/takara-ai/Sumi-e_no_kurozuappu_ink_painting_closeups.vlabench_select_paintingDunhuang_Grottoes_PaintingPaper: arXiv:2508.07140
painting-restoration-eval-candidatesdanbooru-painterly-style-imageTreeOil_Painting_ScientificResearch_SortedImageIndex_Thailand2015_2018
Tree Oil Painting – Scientific Research Index (Thailand, 2015–2018)
This dataset documents the scientific and personal journey to investigate the authenticity and artistic origin of The Tree Oil Painting, a mysterious work suspected to be from the late 19th century. The dataset includes structured image records, lab results, motion analysis videos, and historical documents collected between 2015 and 2018 in Thailand.
🌱 Background
In 2015, after visually detecting… See the full description on the dataset page: https://huggingface.co/datasets/HaruthaiAi/TreeOil_Painting_ScientificResearch_SortedImageIndex_Thailand2015_2018.few-shot-art-painting
Citation
@article{DBLP:journals/corr/abs-2101-04775,
author = {Bingchen Liu and
Yizhe Zhu and
Kunpeng Song and
Ahmed Elgammal},
title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot
Image Synthesis},
journal = {CoRR},
volume = {abs/2101.04775},
year = {2021},
url = {https://arxiv.org/abs/2101.04775},
eprinttype = {arXiv},
eprint = {2101.04775},
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-art-painting.Famous-paintingsContains 100 images of famous paintings you can use for your projects. Ultra-lightweight dataset for quick and simple testing or training
northern-landscape-painting
License
This dataset was compiled for the purpose of art historical research on Scandinavian landscape paintings.
Images scraped from Wikimedia Commons via Wikidata; metadata scraped from
Wikidata (CC0). Image licenses vary per file (predominantly public domain,
some CC-BY-SA). See the license_short_name / license_url columns in
the parquet files for the exact terms of each individual image, and the
Commons file page for full details.
arcadia_10_painting_datasetPaintBench
PaintBench
Deterministic Evaluation of Precise Visual Editing
Kai Xu*,
Ellis Brown*,
Shrikar Madhu,
Rob Fergus,
He He,
Saining Xie
*Equal contribution.
New York University
A precise, deterministic visual editing benchmark. Evaluates whether native pixel-space image generation models can execute "MS-Paint-style" edits — geometric transforms, color changes, structural manipulation, and symbolic-reasoning edits — with pixel-level… See the full description on the dataset page: https://huggingface.co/datasets/PaintBench/PaintBench.Painting-FormHaruthaiAI_Painter_Biomechanical_Training_v1
HaruthaiAI_Painter_Biomechanical_Training_v1
Learning Philosophy
This dataset is designed under a fundamentally different assumption from traditional AI training systems.
Instead of teaching AI to recognize visual similarity, this system teaches AI to reconstruct the physical and biomechanical process behind image formation.
The model is not expected to memorize patterns.The model is expected to:
recompute structural relationships
infer directional flow of… See the full description on the dataset page: https://huggingface.co/datasets/HaruthaiAi/HaruthaiAI_Painter_Biomechanical_Training_v1.style_transfer_paintings_dataset
Dataset Card for "style_transfer_paintings_dataset"
More Information needed
tree_oil_painting_aiwikiart-genre-abstract-paintingPaintBench
PaintBench
A precise, deterministic visual editing benchmark. PaintBench evaluates whether generative models can execute MS-Paint-style image editing operations with pixel-level correctness. Every problem is a (input_image, instruction, answer_image) triplet, generated programmatically so the answer is pixel-exact and the answer distribution is known by construction.
This dataset bundles three sibling benchmarks that share one generation and evaluation pipeline:
Subset… See the full description on the dataset page: https://huggingface.co/datasets/PaintBenchAnonymousNeurIPS26/PaintBench.