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README.md ADDED
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+ # DONUT (Dataset Of MaNifold strUcTures)
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+
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+
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+ 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.
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+
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+ The dataset contains **29,517 samples** in total.
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+
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+ ## Overview
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+
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+ The figure below shows a few samples from the dataset together with their labels.
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+
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+ ![A few DONUT samples and their labels](static/donut_samples.png)
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+
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+ ## Contents
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+
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+ The repository is organized as follows:
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+
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+ ```text
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+ .
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+ ├── metadata.csv
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+ ├── obj/
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+ │ ├── shard_0/
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+ │ ├── shard_1/
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+ │ └── shard_2/
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+ └── pcd/
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+ ├── shard_0/
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+ ├── shard_1/
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+ └── shard_2/
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+ ```
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+
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+ - `obj/` contains the mesh files as `.npz` archives.
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+ - `pcd/` contains the point clouds as `.npy` files.
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+ - `metadata.csv` contains one row per sample with topological metadata.
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+
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+ There are **29,517** mesh files in `obj/` and **29,517** point cloud files in `pcd/`.
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+
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+ ## File Format
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+
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+ ### Meshes
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+
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+ Each mesh sample is stored as an `.npz` file in `obj/`. The archive contains:
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+
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+ - `vertices.npy`
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+ - `faces.npy`
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+
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+ A sample may contain one or several watertight connected mesh components.
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+
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+ ### Point Clouds
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+
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+ Each point cloud sample is stored as a `.npy` file in `pcd/`.
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+ Each point cloud contains **8192 points** and corresponds to the sample with the same `id`.
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+
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+ ## Sample Identification
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+ Each sample is identified by a unique `id` string.
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+
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+ The same `id` is used in:
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+
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+ - the filename in `obj/`
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+ - the filename in `pcd/`
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+ - the `id` column in `metadata.csv`
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+
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+ For example, if a sample has id `abc123`, its files are:
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+ - `obj/.../abc123.npz`
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+ - `pcd/.../abc123.npy`
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+
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+ ## Metadata
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+
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+ `metadata.csv` contains the following columns:
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+
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+ - `id`: unique identifier of the sample
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+ - `genus`: total number of holes across all mesh components in the sample
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+ - `components`: total number of connected mesh components in the sample
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+ - `sample_code`: array of 6 integers describing how many components of each genus are present
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+
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+ ## Meaning of `sample_code`
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+ `sample_code` is an array of 6 integers:
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+
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+ ```text
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+ [n0, n1, n2, n3, n4, n5]
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+ ```
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+
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+ Here, `ni` is the number of mesh components in the sample whose genus is `i`.
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+
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+ So:
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+ - `n0` is the number of genus-0 components
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+ - `n1` is the number of genus-1 components
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+ - `n2` is the number of genus-2 components
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+ - `n3` is the number of genus-3 components
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+ - `n4` is the number of genus-4 components
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+ - `n5` is the number of genus-5 components
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+
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+ From `sample_code`, the metadata values are computed as:
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+
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+ ```text
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+ genus = sum(i * ni for i in [0, 1, 2, 3, 4, 5])
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+ components = sum(ni for i in [0, 1, 2, 3, 4, 5])
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+ ```
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+
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+ In other words:
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+ - `genus` is the total number of holes in the full sample
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+ - `components` is the total number of connected components in the full sample
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+ The distribution of labels in the dataset is shown below.
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+ ![Distribution of DONUT labels](static/donut_distrib.png)
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+ ## Examples
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+ ```text
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+ sample_code = [2, 1, 0, 0, 0, 0]
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+ ```
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+ This means:
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+ - 2 components of genus 0
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+ - 1 component of genus 1
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+ - total genus = 0 * 2 + 1 * 1 = 1
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+ - total components = 2 + 1 = 3
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+
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+ ## Summary
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+ DONUT is a dataset of **29,517** samples of manifold 3D structures.
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+ Each sample provides:
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+ - one mesh file in `.npz` format
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+ - one 8192-point cloud in `.npy` format
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+ - one metadata entry in `metadata.csv`
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+ 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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