datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.image-descr-v2jev-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.libero_10_image_task_2This dataset was created using LeRobot.
Dataset Structure
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"video_path": null,
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/continuallearning/libero_10_image_task_2.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.metaworld_mt50_push_v2_imageThis dataset was created using LeRobot.
Dataset Structure
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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.pusht_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
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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
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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.VQAv2_test_no_image
Dataset Card for "VQAv2_test_no_image"
More Information needed
ConvAI2-Qwen-Image-2512libero_goal_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_goal_image_task_2.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
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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
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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
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"features": {… See the full description on the dataset page: https://huggingface.co/datasets/continuallearning/libero_spatial_image_task_0_2.libero_90_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/yzembodied/libero_90_image_task_2.multimodal_qa_dataset_v2_image_focusVQAv2_validation_no_image
Dataset Card for "VQAv2_validation_no_image"
More Information needed
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.so_arm_100_image_rnd_2This dataset was created using LeRobot.
Dataset Description
The SO ARM 100 test dataset series is an example dataset for testing purposes. It is a synthetic dataset from a
high-fidelity pick and place task recorded from an expert policy trained in IsaacLab. The dataset consists of image
observations, joint angle observations, and joint angle actions. There are five datasets in the series with varying
degrees of domain randomization, as shown below. In addition to the state… See the full description on the dataset page: https://huggingface.co/datasets/Nfiniteai/so_arm_100_image_rnd_2.VQAv2_testdev_no_image
Dataset Card for "VQAv2_testdev_no_image"
More Information needed
libero_spatial_image_task_0_2_newThis 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_0_2_new.image_quality_dataset_v2libero_10_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/yzembodied/libero_10_image_task_2.image-description-dataset-v20225_a2c2_smolvlalt_liberoG_imageThis dataset was created using LeRobot.
Dataset Structure
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/theayos/0225_a2c2_smolvlalt_liberoG_image.image_style_transfer_GPTImage2
Multi-Style Stylized Image Pairs
A paired-image dataset where every source photograph is re-rendered into four
distinct artistic styles by the same model, producing a one-to-many style
transfer benchmark with consistent composition across styles.
Styles
For each raw image, the dataset provides four stylized variants generated
from the same source:
Column
Style description
raw
The original source photograph.
American_Cartoon
Modern American cartoon… See the full description on the dataset page: https://huggingface.co/datasets/yufan/image_style_transfer_GPTImage2.