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Mesh-Untangling-Benchmark

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End of preview. Expand in Data Studio

Mesh Untangling Benchmark

This repository contains the publicly redistributable portion of the benchmark used by Mesh Untangling. It contains 166 input meshes:

Dataset	Cases	Files	License
Analytic Surfaces (`math`)	26	OBJ	Apache-2.0
Microsoft Rocketbox	140	OBJ and companion MTL	MIT

These are benchmark inputs and may contain self-intersections. They are not solver outputs.

ISIR, SMAL, and SCAPE are not included because their distribution terms require users to obtain the data from the respective owners.

Layout

data/
├── math/
└── Microsoft-Rocketbox/
licenses/
metadata/
└── included-cases.json
PROVENANCE.md
SHA256SUMS

metadata/included-cases.json records the 166 canonical OBJ paths and hashes. SHA256SUMS covers every distributed OBJ and MTL file.

Download and run

Install the Hugging Face CLI if needed with python3 -m pip install --upgrade huggingface_hub. From the Mesh Untangling repository root, run:

hf download AppledoreM/Mesh-Untangling-Benchmark \
  --repo-type dataset \
  --local-dir benchmark-data

python3 scripts/run_untangle_benchmark.py \
  --data-root benchmark-data/data \
  --output-root output/public-benchmark \
  --forward-flow-binary build/bin/Release/mesh-untangle \
  --reverse-flow-binary build/bin/Release/reverse-flow \
  --case 'math/*' \
  --case 'Microsoft-Rocketbox/*'

Run from the Mesh Untangling repository root, keep the case globs quoted, and choose an output directory that does not already exist.

Integrity

From the downloaded repository root:

sha256sum --check SHA256SUMS

Licensing and provenance

The Analytic Surfaces meshes are released under Apache-2.0. The selected Microsoft Rocketbox assets and their derived benchmark exports retain Microsoft's MIT license and copyright notice. See licenses/ and PROVENANCE.md for details.

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