datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
robotwin_3d
RoboTwin 2.0 — 3D (RGB + Depth)
Bimanual manipulation data from the RoboTwin 2.0 simulator, in LeRobot v2.1 format, with per-camera ground-truth depth alongside RGB.
Tasks
50
Episodes
27,500 (550 per task, contiguous)
Frames
6,183,813
Robot
ALOHA-style bimanual, 14-DoF
Control rate
50 Hz
Cameras
3 (cam_high, cam_left_wrist, cam_right_wrist)
Resolution
240 × 320
Language instructions
1,039,891 unique corpus-wide; 100 entries per episode
Total size… See the full description on the dataset page: https://huggingface.co/datasets/flex-pi/robotwin_3d.3dgsmatterport3d_region_mcmc_3dgsLicense Notice:This dataset is derived from Matterport3D.It follows the Matterport End User License Agreement for Academic Use of Model Data.See Matterport3D License for details.
3d_llscannet_mcmc_3dgs
Data Statistics
Scenes
Mean PSNR ↑
Mean SSIM ↑
Mean LPIPS ↓
Mean Depth L1 ↓
Mean #3DGS
Total #3DGS
1,613
30.17 dB
0.875
0.221
0.0151 m
1.000M
1.613B
License Notice:This dataset is derived from ScanNet and follows the ScanNet Terms of Use.See ScanNet Terms for details.
arkitscenes_mcmc_3dgs
Data Statistics
Scenes
Mean PSNR ↑
Mean SSIM ↑
Mean LPIPS ↓
Mean Depth L1 ↓
Mean #3DGS
Total #3DGS
1,290
31.63 dB
0.907
0.217
0.0051 m
1.149M
1.483B
scannetpp_v2_mcmc_3dgs
Data Statistics
Scenes
Mean PSNR ↑
Mean SSIM ↑
Mean LPIPS ↓
Mean Depth L1 ↓
Mean #3DGS
Total #3DGS
956
35.08 dB
0.959
0.062
0.0031 m
1.500M
1.434B
License Notice:This dataset is derived from ScanNet++ and follows the ScanNet++ Terms of Use.See ScanNet++ Terms for details.
3rscan_mcmc_3dgs
Data Statistics
Scenes
Mean PSNR ↑
Mean SSIM ↑
Mean LPIPS ↓
Mean Depth L1 ↓
Mean #3DGS
Total #3DGS
632
27.06 dB
0.874
0.344
0.0177 m
1.500M
948.000M
License Notice:This dataset is derived from 3RScan and follows the 3RScan Terms of Use.See 3RScan Terms for details.
everyday-manipulation-3d-raw
Everyday Manipulation 3D (raw RGB-D)
1,513 clips · 10.28 hours · 279 GiB · 4 participants · 10 manipulation tasks · 42 recording sittings
Chest-mounted iPhone Pro capture of everyday two-handed manipulation by
CaryX AI. Clips were recorded with
Record3D, an iOS app that captures the
iPhone's LiDAR RGB-D stream. Each clip is the app's .r3d recording with the
audio track removed; the sensor streams are unmodified: synchronised RGB,
metric LiDAR depth, per-frame ARKit 6-DoF camera… See the full description on the dataset page: https://huggingface.co/datasets/CaryxAI/everyday-manipulation-3d-raw.Alexandria_geometry_optimization_paths_PBE_3D
Cite this dataset Schmidt, J., Hoffmann, N., Wang, H., Borlido, P., Carriço, P. J. M. A., Cerqueira, T. F. T., Botti, S., and Marques, M. A. L. Alexandria geometry optimization paths PBE 3D. ColabFit, 2024. https://doi.org/10.60732/c88da7df
This dataset has been curated and formatted for the ColabFit Exchange
This dataset is also available on the ColabFit Exchange:
https://materials.colabfit.org/id/DS_s6gf4z2hcjqy_0
Visit the ColabFit… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/Alexandria_geometry_optimization_paths_PBE_3D.scannetpp_v1_mcmc_3dgs
Data Statistics
Scenes
Mean PSNR ↑
Mean SSIM ↑
Mean LPIPS ↓
Mean Depth L1 ↓
Mean #3DGS
Total #3DGS
330
28.89 dB
0.917
0.144
0.0201 m
1.552M
512.282M
License Notice:This dataset is derived from ScanNet++ and follows the ScanNet++ Terms of Use.See ScanNet++ Terms for details.
heat_conduction_3d_v0This dataset is part of the EngiBench toolkit: https://github.com/IDEALLab/EngiBench.
latent-3d-cacheFLOW-3D-Single-Track
FLOW-3D-Single-Track
This dataset consists of LPBF (Laser Powder Bed Fusion) melt pool simulations performed using FLOW-3D. Each row is one timestep from one simulation case, containing process parameters, mesh metadata, a per-timestep field volume, and image previews.
Dataset Configs
Load a specific field config:
from datasets import load_dataset
ds = load_dataset("ppak10/FLOW-3D-Single-Track", "temperature")
Available configs:
Config
Volume Shape… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/FLOW-3D-Single-Track.delete_me3d-front-code
3D-Front-Code
RoomScript v4 Blender object programs, room-layout renders, code-only wall
architecture, and asset Blender artifacts derived from 3D-FRONT scene evidence.
Contents
13,917 object assets (reference and v4/best) in data/assets/*.tar
21,202 rooms (v4/best and code-only v4_wall/best) in data/rooms/*.tar
searchable JSONL indexes under metadata/
Each tar contains multiple samples while preserving the original
data/front_object_code/by_asset/... or… See the full description on the dataset page: https://huggingface.co/datasets/KevinFan111/3d-front-code.matterport3d_scene_mcmc_3dgs
Data Statistics
Scenes
Mean PSNR ↑
Mean SSIM ↑
Mean LPIPS ↓
Mean Depth L1 ↓
Mean #3DGS
Total #3DGS
90
29.04 dB
0.882
0.208
0.0161 m
12.000M
1.080B
License Notice:This dataset is derived from Matterport3D.It follows the Matterport End User License Agreement for Academic Use of Model Data.See Matterport3D License for details.
3DGS_Results3dgs-outputOpenASL_3D
This is a Large-Scale 3D Datset for Continuous American Sign Language
3D-RAD
[ 🎯 NeurIPS 2025 ] 3D-RAD 🩻: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks
📢 News
What's New in This Update 🚀
2025.10.23: 🔥 Updated the latest version of the paper!
2025.09.19: 🔥 Paper accepted to NeurIPS 2025! 🎯
2025.05.16: 🔥 Set up the repository and committed the dataset!
🔍 Overview
💡 In this repository, we present the dataset for "3D-RAD: A… See the full description on the dataset page: https://huggingface.co/datasets/Tang-xiaoxiao/3D-RAD.eval_pi0_3D_infe_white_bowlThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 15,
"total_frames": 8315,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:15"
},
"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/tersooawai/eval_pi0_3D_infe_white_bowl.3d-front-mappereval_pi0_3D_infe_lightThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 15,
"total_frames": 9597,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:15"
},
"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/tersooawai/eval_pi0_3D_infe_light.hypersim_mcmc_3dgs
Data Statistics
Scenes
Mean PSNR ↑
Mean SSIM ↑
Mean LPIPS ↓
Mean Depth L1 ↓
Mean #3DGS
Total #3DGS
455
32.51 dB
0.942
0.078
0.0025 m
2.494M
1.135B
License Notice:This dataset is derived from the Hypersim source dataset and follows CC BY-SA 3.0.
bigym-all-tasks-3dgs-one-success
BiGym 全任务 3DGS 厨房壳 单成功轨迹集
发布状态：40/40 技术验证通过，视觉抽检通过；仓库保持，等待上游数据/壳资产再分发条款复核。
预览视频：previews/collection-preview.mp4
核心结果
官方 BiGym 任务：40/40
唯一任务：40
保存的 reward=1 episode：40
丢弃的 reward=0 候选：61（未进入成功 Parquet）
Transition / 每相机帧数：14,806 / 14,806
三相机 H.264 文件：120
相机：head 848×480、left wrist 640×480、right wrist 640×480，20 FPS
数据布局
reach/：3 个任务
long_horizon/：3 个任务
dishwasher/：10 个任务
tabletop/：24 个任务
task-manifest.csv：任务、demo UUID、seed、帧数、reward、动作哈希… See the full description on the dataset page: https://huggingface.co/datasets/eustance/bigym-all-tasks-3dgs-one-success.3DTime
3DTime dataset: (sample of) A Large Dataset of Multivariate Time-Series for 3D-printing Duration
This dataset is a small sample of the 3DTime dataset, for which the paper is currently under review for NeurIPS Datasets and Benchmarks 2026.
This smaller version contains:
82 3D models (~0.08% of the full dataset), their corresponding sliced G-code, compressed annotated G-code, and binary vectorized files
A total of 5,855,369 G-code instructions (~0.07% of the full dataset)… See the full description on the dataset page: https://huggingface.co/datasets/3DTimeDataset/3DTime.sam-3d-body-dataset
SAM-3D-Body Data
This repository provides the annotations used in SAM 3D Body.
Datasets
3DPW
AI Challenger
COCO
EgoExo4D
EgoHumans
Harmony4D
MPII
SA1B
Get Started
Please follow the instructions to download and preocess the annotations.
License
The SAM 3D Body data is licensed under SAM License.
Citing SAM 3D Body
If you use SAM 3D Body or the SAM 3D Body dataset in your research, please use the following BibTeX entry.… See the full description on the dataset page: https://huggingface.co/datasets/facebook/sam-3d-body-dataset.thermoelastic_3d_v0newiii_many_y_3dThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 50,
"total_frames": 85530,
"total_tasks": 1,
"total_videos": 200,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"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/andlyu/newiii_many_y_3d.