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LouisM2001
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donut

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Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 246, in _split_generators
                  raise ValueError(
              ValueError: `file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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DONUT (Dataset Of MaNifold strUcTures)

This repository contains a dataset of 3D samples made of watertight meshes and corresponding point clouds. Each sample is composed of one or several watertight mesh components and one 8192-point cloud representation.

The dataset contains 29,517 samples in total.

Overview

The figure below shows a few samples from the dataset together with their labels.

A few DONUT samples and their labels

Contents

The repository is organized as follows:

.
├── metadata.csv
├── obj/
│   ├── shard_0/
│   ├── shard_1/
│   └── shard_2/
└── pcd/
    ├── shard_0/
    ├── shard_1/
    └── shard_2/
  • obj/ contains the mesh files as .npz archives.
  • pcd/ contains the point clouds as .npy files.
  • metadata.csv contains one row per sample with topological metadata.

There are 29,517 mesh files in obj/ and 29,517 point cloud files in pcd/.

File Format

Meshes

Each mesh sample is stored as an .npz file in obj/. The archive contains:

  • vertices.npy
  • faces.npy

A sample may contain one or several watertight connected mesh components.

Point Clouds

Each point cloud sample is stored as a .npy file in pcd/.

Each point cloud contains 8192 points and corresponds to the sample with the same id.

Sample Identification

Each sample is identified by a unique id string.

The same id is used in:

  • the filename in obj/
  • the filename in pcd/
  • the id column in metadata.csv

For example, if a sample has id abc123, its files are:

  • obj/.../abc123.npz
  • pcd/.../abc123.npy

Metadata

metadata.csv contains the following columns:

  • id: unique identifier of the sample
  • genus: total number of holes across all mesh components in the sample
  • components: total number of connected mesh components in the sample
  • sample_code: array of 6 integers describing how many components of each genus are present

Meaning of sample_code

sample_code is an array of 6 integers:

[n0, n1, n2, n3, n4, n5]

Here, ni is the number of mesh components in the sample whose genus is i.

So:

  • n0 is the number of genus-0 components
  • n1 is the number of genus-1 components
  • n2 is the number of genus-2 components
  • n3 is the number of genus-3 components
  • n4 is the number of genus-4 components
  • n5 is the number of genus-5 components

From sample_code, the metadata values are computed as:

genus = sum(i * ni for i in [0, 1, 2, 3, 4, 5])
components = sum(ni for i in [0, 1, 2, 3, 4, 5])

In other words:

  • genus is the total number of holes in the full sample
  • components is the total number of connected components in the full sample

The distribution of labels in the dataset is shown below.

Distribution of DONUT labels

Examples 

sample_code = [2, 1, 0, 0, 0, 0]

This means:

  • 2 components of genus 0
  • 1 component of genus 1
  • total genus = 0 * 2 + 1 * 1 = 1
  • total components = 2 + 1 = 3

Summary

DONUT is a dataset of 29,517 samples of manifold 3D structures.

Each sample provides:

  • one mesh file in .npz format
  • one 8192-point cloud in .npy format
  • one metadata entry in metadata.csv

The metadata describes the global topology of each sample through its total genus, number of connected components, and component-wise genus distribution.
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