datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mesh4d_datasetcatalog
Mesh-LLM Catalog
This dataset is the Hugging Face-backed catalog for Mesh-LLM.
The runtime catalog entries live under entries/**/*.json. The Dataset Viewer
uses catalog_rows.jsonl, a flat generated table with one row per model variant.
The catalog deliberately excludes raw blob URLs. Entries should resolve to
Hugging Face repositories and canonical Mesh refs.
DL3DV-10K-Meshed
DL3DV-10K-Meshed
A derivative of DL3DV-10K providing undistorted 480P views
together with ground-truth surface geometry, used to train
Surflo.
This dataset is not a replacement for DL3DV-10K. It redistributes some of
DL3DV-10K imagery, and remains subject to the DL3DV-10K Terms of Use.
See Licensing and terms before using it.
What we changed
Relative to DL3DV-ALL-480P:
Undistorted images. All 480P frames were reprocessed with COLMAP to remove lens
distortion.… See the full description on the dataset page: https://huggingface.co/datasets/AntoineGuedon/DL3DV-10K-Meshed.PartNeXt_mesh
[Neurips 2025 DB] PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding
Official dataset release for PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding.
Penghao Wang, Yiyang He, Xin Lv, Yukai Zhou, Lan Xu, Jingyi Yu, Jiayuan Gu†
ShanghaiTech University
Neurips 2025 Dataset and Benchmark Track
| Project Page | Paper | Dataset | Dataset Toolkit | Benchmark code (Soon) | Annotation code (Soon) |… See the full description on the dataset page: https://huggingface.co/datasets/AuWang/PartNeXt_mesh.SAGE-3D_Collision_Mesh
SAGE-3D Collision Mesh: Physics-Enabled Collision Bodies for 3D Gaussian Scenes
Paper | Project Page | Code
High-precision collision geometry dataset extracted from 1,000 indoor Mesh scenes, enabling physically accurate navigation and interaction in virtual environments.
Collision Mesh of InteriorGS data captured on Issac Sim 5.0.
📢 News
2025-12-15: Released SAGE-3D Collision Mesh dataset with collision bodies for 1000 InteriorGS scenes.… See the full description on the dataset page: https://huggingface.co/datasets/spatialverse/SAGE-3D_Collision_Mesh.ycb-fixed-meshesThis folder has updated versions of the YCB meshes. All updates are in google_16k folders for each object.
The following updated are available:
nontextured_proc.stl: These are simplified meshes with the normals fixed recommended to be used as collision models. (Note: The normal fixes has to be done manually so not all meshes are verfied, feel free to update them using meshlab, blender, etc).
nontextured_binvox.bt: These file are voxelised representation of the meshes (resolution up to 1mm).… See the full description on the dataset page: https://huggingface.co/datasets/ll4ma-lab/ycb-fixed-meshes.toys4k_meshes
Toys4K Meshes
Exported triangle meshes from the Toys4K dataset.
Layout
{category}/{instance_id}/mesh.ply
105 object categories (e.g. chair, airplane, car)
4000 instances, one mesh.ply per instance
Format
Each mesh.ply is a binary or ASCII PLY mesh produced from the source blend assets.
Usage
from pathlib import Path
from huggingface_hub import snapshot_download
root = Path(snapshot_download("Yang2001/toys4k_meshes"… See the full description on the dataset page: https://huggingface.co/datasets/Yang2001/toys4k_meshes.harmony-meshesdeepcad_test_meshMeshFleetThis is a curated collection of 3D car models derived from Objaverse-XL described in MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling. The MeshFleet dataset provides metadata for 3D car models, including their SHA256 from Objaverse-XL, vehicle category, and size. The core dataset is available as a CSV file: meshfleet_with_vehicle_categories_df.csv. You can easily load it using pandas:
import pandas as pd
meshfleet_df =… See the full description on the dataset page: https://huggingface.co/datasets/DamianBoborzi/MeshFleet.MeshDiffusion_DMTet_Dataset3DGS_Mesh_Envs
3DGS-Mesh Environments for HUGE-Bench
This dataset releases the 3DGS-Mesh digital twin environments for HUGE-Bench.
HUGE_Dataset_v0 contains the full trajectory dataset in LeRobot format, including train, test_seen, and test_unseen splits for all benchmark tasks. This repository contains the 3D assets required for rendering and collision-aware evaluation.
Each archive contains:
data_3d/<env_id>/3dgs_ply/point_cloud_utm50.ply
data_3d/<env_id>/terra_ply/simplified_mesh.obj… See the full description on the dataset page: https://huggingface.co/datasets/yu781986168/3DGS_Mesh_Envs.details_unit-mesh__autodev-deepseek-6.7b-finetunes-poc
Dataset Card for Evaluation run of unit-mesh/autodev-deepseek-6.7b-finetunes-poc
Dataset automatically created during the evaluation run of model unit-mesh/autodev-deepseek-6.7b-finetunes-poc on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_unit-mesh__autodev-deepseek-6.7b-finetunes-poc.dalton-lv-meshes
Dalton et al. (2023) Left-Ventricle Meshes — DOLFINx XDMF
Finite-element meshes of 2967 synthetic left-ventricle (LV) geometries, converted
from the raw node data of
D. Dalton, H. Gao, D. Husmeier, "Emulation of cardiac mechanics using Graph
Neural Networks", Computer Methods in Applied Mechanics and Engineering 401
(2023) 115645. Dataset: Zenodo 7075055
· Code: https://github.com/dodaltuin/passive-lv-gnn-emul
The upstream download contains only a node-adjacency graph plus… See the full description on the dataset page: https://huggingface.co/datasets/mapengfei/dalton-lv-meshes.meshfleet_silhouettesfusion360_test_meshmesh_cut_unityThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "unity",
"total_episodes": 54,
"total_frames": 36308,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 10,
"splits": {
"train": "0:54"
},
"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/MauoSama/mesh_cut_unity.mesh_cut_wrist_topThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "unity",
"total_episodes": 81,
"total_frames": 35439,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:81"
},
"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/inaas/mesh_cut_wrist_top.meshsplatting-modelsMeshCoderDataset
MeshCoderDataset
This is the dataset of the paper MeshCoder.
MeshCoder
Bingquan Dai*, Li Luo*, Qihong Tang,
Jie Wang, Xinyu Lian, Hao Xu, Minghan Qin, Xudong Xu, Bo Dai, Haoqian Wang†, Zhaoyang Lyu† Jiangmiao Pang
* Equal contribution
† Corresponding author
Project lead: Zhaoyang Lyu
Overview
MeshCoder is a framework that converts 3D point clouds into editable Blender Python scripts, enabling programmatic reconstruction and editing of complex… See the full description on the dataset page: https://huggingface.co/datasets/InternRobotics/MeshCoderDataset.CaiyunV1-Raw-Mesh-Datasetmesh_cut_dVRKThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "dvrk",
"total_episodes": 54,
"total_frames": 18113,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 10,
"splits": {
"train": "0:54"
},
"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/MauoSama/mesh_cut_dVRK.mesh_cut_top_side2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "unity",
"total_episodes": 81,
"total_frames": 35439,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:81"
},
"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/inaas/mesh_cut_top_side2.MeshCut_dVRKThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "dvrk",
"total_episodes": 54,
"total_frames": 18113,
"total_tasks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:54"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/MauoSama/MeshCut_dVRK.meshflow
MeshFlow
Mesh Generation with Equivariant Flow Matching
This repository hosts the pretrained model checkpoints and the processed mesh
dataset for MeshFlow.
🌐 Project page: https://qiisun.github.io/MeshFlow/
💻 Code (GitHub): https://github.com/qiisun/MeshFlow
📄 Paper: https://arxiv.org/abs/2606.12345
🤗 Demo: https://huggingface.co/spaces/qiisun/MeshFlow
Repository Structure
.
├── v1/ # Pretrained model checkpoints
└── obj_data/ # Processed mesh… See the full description on the dataset page: https://huggingface.co/datasets/qsun2001/meshflow.mesh_cut_wrist_sideThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "unity",
"total_episodes": 81,
"total_frames": 35439,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:81"
},
"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/inaas/mesh_cut_wrist_side.PubMed_MultiLabel_Text_Classification_Dataset_MeSHThis dataset consists of a approx 50k collection of research articles from PubMed repository. Originally these documents are manually annotated by Biomedical Experts with their MeSH labels and each articles are described in terms of 10-15 MeSH labels. In this Dataset we have huge numbers of labels present as a MeSH major which is raising the issue of extremely large output space and severe label sparsity issues. To solve this Issue Dataset has been Processed and mapped to its root as Described… See the full description on the dataset page: https://huggingface.co/datasets/owaiskha9654/PubMed_MultiLabel_Text_Classification_Dataset_MeSH.MeshFleet_TRELLIS
MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling
This is a processed version of the MeshFleet Dataset using the dataset pipeline from TRELLIS. It contains all the 3D models from the original dataset, but is already preprocessed and ready to use with the TRELLIS training pipeline. For fast loading and processing the dataset is chunked and compressed to webdataset files. All files for each object are stored in a separate file. You can either… See the full description on the dataset page: https://huggingface.co/datasets/DamianBoborzi/MeshFleet_TRELLIS.3DEdit-1M3DEdit-1M
A large-scale 3D edit-pair dataset of the paper
Omni123: Exploring 3D Native Foundation Models with Limited 3D Data by Unifying Text to 2D and 3D Generation.
Forward edit pairs
1,476,827 (487,928 distinct source objects)
Reverse edit instructions
1,356,826 (91.9% of the pairs)
Shards
211 WebDataset tars, data/shard-{000136..000346}.tar
Size
309.7 GB
Each sample is a paired (source, target) 3D edit. The pipeline behind every sample:
Edit instruction… See the full description on the dataset page: https://huggingface.co/datasets/meshy-ai-team/3DEdit-1M.meshfleet_arena