datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
prof_report__wavymulder-Analog-Diffusion__multi__24
Dataset Card for "prof_report__wavymulder-Analog-Diffusion__multi__24"
More Information needed
prof_report__22h-vintedois-diffusion-v0-1__multi__24
Dataset Card for "prof_report__22h-vintedois-diffusion-v0-1__multi__24"
More Information needed
diffusers-pr
Diffusers PR Dataset
Normalized snapshots of issues, pull requests, comments, reviews, and linkage data from huggingface/diffusers.
Files:
issues.parquet
pull_requests.parquet
comments.parquet
issue_comments.parquet (derived view of issue discussion comments)
pr_comments.parquet (derived view of pull request discussion comments)
reviews.parquet
pr_files.parquet
pr_diffs.parquet
review_comments.parquet
links.parquet
events.parquet
new_contributors.parquet… See the full description on the dataset page: https://huggingface.co/datasets/evalstate/diffusers-pr.diffusion-pretrain-set-ft1
diffusion-pretrain-set-ft1
A multi-source image-caption pretraining dataset assembled from ten upstream
sources via a uniform ingest pipeline. Designed for a full pretrain or finetune
pipeline meant to curate for any major diffusion model preliminary, with the sole
intent to create a more powerful baseline preliminary train and a baseline
for synthesizing images to train the next generation of the VLM model.
This is a lot like the snake eating it's own tail, so it must be… See the full description on the dataset page: https://huggingface.co/datasets/AbstractPhil/diffusion-pretrain-set-ft1.prof_report__CompVis-stable-diffusion-v1-4__multi__24
Dataset Card for "prof_report__CompVis-stable-diffusion-v1-4__multi__24"
More Information needed
github-diffs-dedupedprof_report__runwayml-stable-diffusion-v1-5__multi__24
Dataset Card for "prof_report__runwayml-stable-diffusion-v1-5__multi__24"
More Information needed
egocentric-kitchen-sample
Diffraction Egocentric Kitchen Capture Sample
A small, inspectable sample of human kitchen manipulation captured with Stray Scanner on a LiDAR-equipped iPhone: native RGB, metric depth and confidence, per-frame camera calibration, device odometry, raw device IMU, and explicitly estimated hand/object annotations.
Human observation sample. License: cc-by-4.0. This sample contains 3 recordings totaling 167.85 seconds. It is an observation dataset for evaluating human-video… See the full description on the dataset page: https://huggingface.co/datasets/diffracting/egocentric-kitchen-sample.stable-diffusion-prompts-stats-full-uncensoreddiffusers-dependents
diffusers metrics
This dataset contains metrics about the huggingface/diffusers package.
Number of repositories in the dataset: 160
Number of packages in the dataset: 2
Package dependents
This contains the data available in the used-by
tab on GitHub.
Package & Repository star count
This section shows the package and repository star count, individually.
Package
Repository
There are 0 packages that have more than 1000 stars.
There are 3 repositories… See the full description on the dataset page: https://huggingface.co/datasets/open-source-metrics/diffusers-dependents.egocentric-maintenance-sample
Diffraction Egocentric Maintenance Sample
Chest-mounted iPhone video of hands-on appliance maintenance: tape removal, brushing, panel handling and wiping recessed surfaces. 6 curated excerpts complement Diffraction's RGB-D kitchen sample with a different task domain.
This is human RGB observation data for evaluating video-language, temporal action understanding and hand/object interaction workflows. Depth, metric camera calibration/pose, IMU, robot commands and… See the full description on the dataset page: https://huggingface.co/datasets/diffracting/egocentric-maintenance-sample.BFD_diff_tasksThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "mcx",
"total_episodes": 10,
"total_frames": 8756,
"total_tasks": 1,
"total_videos": 20,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:10"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/antwoor/BFD_diff_tasks.civitai-stable-diffusion-337k
How to Use
from datasets import load_dataset
dataset = load_dataset("thefcraft/civitai-stable-diffusion-337k")
print(dataset['train'][0])
download images
download zip files from images dir
https://huggingface.co/datasets/thefcraft/civitai-stable-diffusion-337k/tree/main/images
it contains some images with id
from zipfile import ZipFile
with ZipFile("filename.zip", 'r') as zObject: zObject.extractall()
Dataset Summary
GitHub URL:-… See the full description on the dataset page: https://huggingface.co/datasets/thefcraft/civitai-stable-diffusion-337k.eval1_mix_orig93_booster55_difficult30x2_h264This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 15,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/robot-learning-group47/eval1_mix_orig93_booster55_difficult30x2_h264.WRM_grasp_cylinder_different_sizes_lero_recollectThis dataset was created using LeRobot.
Dataset Description
Recollected RealMan WRM grasp-cylinder-different-sizes demonstrations with synchronized 16-bit Beaver tactile maps.
Homepage: [More Information Needed]
Paper: [More Information Needed]
License: apache-2.0
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "realman",
"total_episodes": 125,
"total_frames": 40596,
"total_tasks": 1,
"chunks_size":… See the full description on the dataset page: https://huggingface.co/datasets/IXDLI/WRM_grasp_cylinder_different_sizes_lero_recollect.similar-but-different
Similar But Different — Sentinel-2 patches with deceptive RGB
30,927 32×32 Sentinel-2 L2A multispectral patches (12 bands resampled to
10 m) across ten ESA WorldCover classes, selected so that the visible
bands are uninformative by construction: every patch sits in a region of
RGB-mean space dominated by patches of other classes, while its
NIR / red-edge / SWIR response stays class-informative.
The dataset is a controlled probe for one question: does a model actually
use the… See the full description on the dataset page: https://huggingface.co/datasets/calebrob6/similar-but-different.lewam_eval_pnpt_diffusion_wideThis dataset was created using LeRobot.
Dataset Description
Real-robot evaluation rollouts recorded on a Rebot B601 7-DoF arm, from the LeWAM
project. Every episode here is a policy rollout on the physical robot — not a
teleoperated demonstration — scored by a human operator immediately after it ran.
Task: pick-and-place (b601_pnpt): the arm picks a roll of tape and places it on a target. Trained on ehalicki/b601_pusht_pick_and_place.
Policy: a LeRobot Diffusion Policy… See the full description on the dataset page: https://huggingface.co/datasets/ehalicki/lewam_eval_pnpt_diffusion_wide.cobe-dmr-pixelized-differential-data
COBE DMR four-year pixelized differential data
The preview bins the 31A source rows by their ordered PIX_PLUS and
PIX_MINU identities; colour records the number of source rows in each 24 by
24 pixel bin.
Regenerate it from the published Parquet data with
python tools/render_hub_preview.py cobe-dmr-pixelized-differential-data datasets/cobe-dmr-pixelized-differential-data/preview.png.
This dataset contains the COBE Differential Microwave Radiometer four-year
Pixelized… See the full description on the dataset page: https://huggingface.co/datasets/astro-legacy-archive/cobe-dmr-pixelized-differential-data.math_stratos_scale_judged_and_annotated_with_difficultyso101_diffusion_datasetThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 1,
"total_frames": 584,
"total_tasks": 1,
"total_videos": 3,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kkee123h/so101_diffusion_dataset.grab_brush_diff_bin_orientThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101",
"total_episodes": 40,
"total_frames": 35726,
"total_tasks": 1,
"total_videos": 40,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:40"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/guanfengliu/grab_brush_diff_bin_orient.grab_brush_diff_bin_orient2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101",
"total_episodes": 80,
"total_frames": 95162,
"total_tasks": 1,
"total_videos": 80,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:80"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/guanfengliu/grab_brush_diff_bin_orient2.DIFFUSION-DDIM16_100eps_Selection_Nuts_Bolt_Aug_10_inf-recordingThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 60,
"total_frames": 77648,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:60"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/CatGoesMeow/DIFFUSION-DDIM16_100eps_Selection_Nuts_Bolt_Aug_10_inf-recording.agilex_pick_the_different_diceThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "arx5_bimanual",
"total_episodes": 19,
"total_frames": 13036,
"total_tasks": 1,
"total_videos": 57,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 25,
"splits": {
"train": "0:19"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/agilex_pick_the_different_dice.Exercise-Synthetic-split-ncert-chapter-mapped_filtered_difficulty_scoredpusht-keypoints-only-diffThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "unknown",
"total_episodes": 206,
"total_frames": 25650,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:206"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/the-future-dev/pusht-keypoints-only-diff.wikipedia_august_october_diff
Dataset Card for "wikipedia_august_october_diff"
More Information needed
lewam_eval_pusht_diffusion_wideThis dataset was created using LeRobot.
Dataset Description
Real-robot evaluation rollouts recorded on a Rebot B601 7-DoF arm, from the LeWAM
project. Every episode here is a policy rollout on the physical robot — not a
teleoperated demonstration — scored by a human operator immediately after it ran.
Task: non-prehensile PushT (b601_pusht): the arm pushes a T-shaped block into a target pose without grasping it. Shares only its name with the simulated PushT. Trained on… See the full description on the dataset page: https://huggingface.co/datasets/ehalicki/lewam_eval_pusht_diffusion_wide.eval_so101_single_tasks_diffusionThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 20,
"total_frames": 32606,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/msmandelbrot/eval_so101_single_tasks_diffusion.SWE-smith-oracle-4k-context-1k-diff
