Datasets:

naderalfares
/

ModelNet10

license: mit
language:
  - en
tags:
  - 3d
  - point-cloud
  - mesh
  - classification
  - modelnet
pretty_name: ModelNet10
size_categories:
  - 1G<n<10G

ModelNet10

ModelNet10 is a subset of ModelNet with 10 object categories of 3D CAD models, widely used for shape classification and point-cloud experiments. This repository packages the meshes as OFF files with a CSV index for use with the Hugging Face datasets library.

Dataset structure

metadata_modelnet10.csv — index with columns: object_id, class, split, object_path
ModelNet10/ — mesh files (.off) organized by category and split
modelnet10.py — GeneratorBasedBuilder loading script

Each example exposes string fields object_id, class, split, and file_path (absolute path to the .off file after resolution).

Usage

Load from the Hub (downloads and caches on first use):

from datasets import load_dataset

ds = load_dataset("naderalfares/ModelNet10")

Load from a local directory that contains metadata_modelnet10.csv and the ModelNet10/ folder:

from datasets import load_dataset

ds = load_dataset(
    "path/to/modelnet10.py",
    name="default",
    data_dir="path/to/ModelNet10",
)

Access splits:

train = ds["train"]
row = train[0]
print(row["class"], row["file_path"])