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
sweden_100K_difficultdiffusers-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-uncensored2026-08-26-difficult-advice-low-stakes-716
Difficult advice, low stakes (716)
The 716 difficult-advice rows the table2-9284-difficult-advice-716 training mixture uses,
rewritten so the same principle is violated in the same way at everyday magnitude, with
the assistant's deliberation regenerated from the rewritten prompt alone.
It exists to test one hypothesis: does a model trained on low-stakes difficult advice come
out less aligned than one trained on the high-stakes original? Use it against… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-08-26-difficult-advice-low-stakes-716.RationalRewards_DiffusionNFT_TrainDataTLDR: this is the diffusion RL training dataset for text-to-image generation and image editing, from the following paper.
RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time
Haozhe Wang1
Cong Wei2
Weiming Ren2
Jiaming Liu3
Fangzhen Lin1
Wenhu Chen2
1 HKUST
2 University of Waterloo
3 Alibaba
RationalRewards is a… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/RationalRewards_DiffusionNFT_TrainData.diffusers-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.2026-08-20-difficult-advice-t10-curiosity-smoke
synth difficult_advice run — per-stage snapshots (resumable generation cache)
field
value
experiment
synth difficult_advice run — per-stage snapshots (resumable generation cache)
date_generated
20260820_120319
constitution
scratch/trait10_curiosity/constitution.md
source_repo
https://github.com/Matthew-Bozoukov/Lessons_from_constituitional_AFT.git @ 432c0693067910a134add164588e51b3a75e1998
models
per-stage models — see manifest.json
generation_config
see… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-08-20-difficult-advice-t10-curiosity-smoke.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_h264.2026-08-26-difficult-advice-low-stakes-716-smoke
synth difficult_advice_low_stakes run — per-stage snapshots (resumable generation cache)
field
value
experiment
synth difficult_advice_low_stakes run — per-stage snapshots (resumable generation cache)
date_generated
20260826_151516
constitution
constitutions/claude_distilled_12_principles_mid/constitution.md
source_repo
https://github.com/Matthew-Bozoukov/teaching_claude_why_replication.git @ 53775ef6fecec6665f020d3b7b28a8755d6f2cfe
models
per-stage models —… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-08-26-difficult-advice-low-stakes-716-smoke.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.prompt-difficulty
Prompt Difficulty Assessment
Prompt difficulty plays a critical role in the performance of large language models (LLMs).
Assessing this difficulty is essential for selecting training examples, evaluating model capabilities, and optimizing routing and reasoning strategies.
Yet, no standardized framework exists for comparing prompt difficulty across domains.
This report proposes a method to quantify prompt difficulty using multiple LLMs and introduces a composite difficulty score for… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/prompt-difficulty.math_stratos_scale_judged_and_annotated_with_difficultypi-diff-review
Coding agent session traces for badlogicgames/pi-diff-review
This dataset contains redacted coding agent session traces collected while working on https://github.com/badlogic/pi-diff-review.git. The traces were exported with pi-share-hf from a local pi workspace and filtered to keep only sessions that passed deterministic redaction and LLM review.
Data description
Each *.jsonl file is a redacted pi session. Sessions are stored as JSON Lines files where each line… See the full description on the dataset page: https://huggingface.co/datasets/badlogicgames/pi-diff-review.so101_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.diffing-stats-gemma-2-2b-crosscoder-l13-mu4.1e-02-lr1e-04 Contains maximum activating examples for all the features of our crosscoder trained on gemma 2 2B layer 13 available here: https://huggingface.co/Butanium/gemma-2-2b-crosscoder-l13-mu4.1e-02-lr1e-04/blob/main/README.md
base_examples.pt contains all the maximum examples of the feature on a subset of validation test of fineweb
chat_examples.pt is the same but for lmsys chat data
chat_base_examples.pt is a merge of the two above files.
All files are of the type dict[int, list[tuple[float… See the full description on the dataset page: https://huggingface.co/datasets/science-of-finetuning/diffing-stats-gemma-2-2b-crosscoder-l13-mu4.1e-02-lr1e-04.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.