datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gpt-image-2-prompts-datasets
🖼️ GPT Image 2 Prompt Dataset
🖼️ The ultimate GPT Image 2 prompt dataset (5GB+). 15,000+ image generation prompts with full metadata and preview images. Truly open source: No login, no ads, no redirection. Just pure data for AI image creators.
This project is a massive collection of prompts used for OpenAI's GPT Image 2 model and the resulting generated images. The entire dataset exceeds 5GB and contains 15,000+ images, all structured into a comprehensive dataset.
Due to… See the full description on the dataset page: https://huggingface.co/datasets/Goku-OpenLab/gpt-image-2-prompts-datasets.text-2-image-Rich-Human-Feedback
Building upon Google's research Rich Human Feedback for Text-to-Image Generation we have collected over 1.5 million responses from 152'684 individual humans using Rapidata via the Python API. Collection took roughly 5 days.
If you get value from this dataset and would like to see more in the future, please consider liking it.
Overview
We asked humans to evaluate AI-generated images in style, coherence and prompt alignment. For images that contained flaws, participants were… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-image-Rich-Human-Feedback.ppv2_imagejev-stage2-image-beans-pilot
Beans: one natural question per image
Open the corrected preview.
natural_v4 is the recommended and default preview: 100 original images, 100 rows, one three-way condition-class Choice question per image. All targets come directly from the source labels column (34 angular leaf spot, 33 bean rust, 33 healthy). Original image bytes and source annotations are unchanged.
Example question: “Which source-defined condition class describes the bean leaf?” Options: angular_leaf_spot… See the full description on the dataset page: https://huggingface.co/datasets/FaroukMoc2/jev-stage2-image-beans-pilot.plant_image_degradation
Plant Disease Degradation 224
Dataset Summary
This dataset contains 224×224 plant disease images and their synthetically degraded variants for image-classification and robustness experiments. It is designed for transfer-learning workflows that require a fixed input size of 224×224 while still exposing models to realistic quality issues that occur in field capture.
The degraded images are generated from clean plant-leaf images using a field-oriented degradation… See the full description on the dataset page: https://huggingface.co/datasets/kunley2/plant_image_degradation.text-2-image-human-preferences-2m
Text-to-image human preferences: 2M votes across 30 models
This dataset contains the complete voting record behind the
Datapoint Image Bench
leaderboard: 2,161,160 validated pairwise votes — exactly 10 for each of
216,116 image pairs. The votes compare 30 text-to-image models in a complete
round-robin on 500 prompts, judged by annotators from over 200 countries.
Every vote includes the annotator's trust score at the time the vote was
cast.
Built on the Datapoint annotation… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/text-2-image-human-preferences-2m.text-2-image-Rich-Human-Feedback-32k
Building upon Google's research Rich Human Feedback for Text-to-Image Generation, and the
smaller, previous version of this dataset, we have collected over 3.7 million responses from 307'415 individual humans for the open-image-preference-v1 dataset using Rapidata via the Python API. Collection took less than 2 weeks.
If you get value from this dataset and would like to see more in the future, please consider liking it ♥️
Overview
We asked humans to evaluate AI-generated images… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-image-Rich-Human-Feedback-32k.image-2-splat-DPO
Image-to-3D Gaussian Splatting DPO Dataset
A curated dataset of high-quality image-to-3D Gaussian Splatting pairs for Direct Preference Optimization (DPO) and contrastive learning, extracted from the Bittensor 404-gen-subnet competition.
Dataset Overview
This dataset contains 10,320 files (136GB+) organized into winner-loser pairs for training preference-based 3D generation models:
2,064 prompt images (original input images)
4,128 winner samples (2,064 PNG images + 2,064… See the full description on the dataset page: https://huggingface.co/datasets/Jyoti73ML/image-2-splat-DPO.Flux2-Image
Flux2-Image
This dataset is used for the Flux2-from-scratch project to train the Flux2 transformer from scratch.
Dataset structure
.
├── images_1/
│ └── a4ad6f1d46fb4ef3bcda56f05eacc537.png...
├── images_2/
│ └── 000121ce53464a63ad43ff134e979c7a.png...
├── images_3/
│ └── a47dc3302bb64b2ebfc7d525c8f0a88e.png...
├── images_4/
│ └── 0053ea2a8c764123b263d88c217f2995.png...
├── images_5/
│ └── 23fb74d40d8e4635914b4a399ee27b71.png...
└── data.csv… See the full description on the dataset page: https://huggingface.co/datasets/FredyRivera-dev/Flux2-Image.libero_10_image_task_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": null,
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/continuallearning/libero_10_image_task_2.metaworld_mt50_push_v2_imageThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4"… See the full description on the dataset page: https://huggingface.co/datasets/lerobot/metaworld_mt50_push_v2_image.image-to-code-v2pusht_v2_imageThis dataset was created using LeRobot.
Info
meta/info.json
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/cadene/pusht_v2_image.libero_object_image_task_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"features": {… See the full description on the dataset page: https://huggingface.co/datasets/continuallearning/libero_object_image_task_2.libero_10_image_task_1_2_3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"features": {… See the full description on the dataset page: https://huggingface.co/datasets/yzembodied/libero_10_image_task_1_2_3.ConvAI2-Qwen-Image-2512libero_goal_image_task_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"features": {… See the full description on the dataset page: https://huggingface.co/datasets/continuallearning/libero_goal_image_task_2.0225_a2c2_smolvlalt_liberoG_imageThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/theayos/0225_a2c2_smolvlalt_liberoG_image.libero_spatial_image_task_2This dataset was created using LeRobot.
Dataset Structure
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"features": {… See the full description on the dataset page: https://huggingface.co/datasets/continuallearning/libero_spatial_image_task_2.ConvAI2-Qwen-Image-2512-enhancedlibero_goal_image_task_0_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"features": {… See the full description on the dataset page: https://huggingface.co/datasets/continuallearning/libero_goal_image_task_0_2.v2_aloha_sim_transfer_cube_human_imageThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"features": {… See the full description on the dataset page: https://huggingface.co/datasets/imstevenpmwork/v2_aloha_sim_transfer_cube_human_image.libero_spatial_image_task_0_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"features": {… See the full description on the dataset page: https://huggingface.co/datasets/continuallearning/libero_spatial_image_task_0_2.2-000-Physics-Chemistry-And-Biology-Questions-With-Image-Explanations-Dataset
2,000 Physics, Chemistry, and Biology Questions with Image Explanations Dataset
This collection contains 2,000 high-quality physics, chemistry, and biology questions, featuring a core modality of original images paired with text explanations. The data covers various formats, including multiple-choice, fill-in-the-blanks, experimental, and calculation questions. Each record provides the original question image, precise OCR-extracted text, and detailed step-by-step textual… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/2-000-Physics-Chemistry-And-Biology-Questions-With-Image-Explanations-Dataset.libero_90_image_task_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
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"robot_type": null,
"total_episodes": 50,
"total_frames": 6208,
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"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": null,
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/yzembodied/libero_90_image_task_2.repro_2_imageliars-dividend-GPT-image-2-photorealimage-text-pairs-ja-cc0-2
はじめに
このデータセットは画像生成で日本語を生成したいときに使うデータセットです。
ライセンス
CC-0です。著作権を放棄して使いやすくしました。
作り方の概要
gpt-oss-20bを使って、約8万個からなる単語集兼短文集を作りました。
その文章をPillowとPythonでランダム要素を入れながら100万枚と10万枚でレンダリングしました。
フォントはNoto Sans JPなのでライセンス的には問題ないと思います。
text-2-image-dpo-human-preferences-full
Text-2-Image DPO Human Preferences (Full)
The complete human preference dataset for text-to-image generation. 416,360 pairwise judgments from ~20,000 annotators comparing AI-generated images across two evaluation dimensions: prompt alignment and overall preference.
This is the full, unfiltered version with uniform vote weights. For quality-filtered subsets with calibrated annotator weighting, see:
datapointai/text-2-image-dpo-human-preferences (5,000 pairs, trust-weighted)… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/text-2-image-dpo-human-preferences-full.turkish-image-description-datasetV2