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CAD-bench Task Payloads
This dataset contains the public task payloads for CAD-bench, an executable benchmark for language-model CAD agents. Each task directory includes:
prompt.txt: the natural-language benchmark prompttask.toml: task metadata, difficulty, evaluator name, and expected valuesgold.py: a reference Build123D solution used for validation and media generation- optional fixtures such as STEP files or Blender simulation scripts
The benchmark runtime and scoring code are distributed with the accompanying anonymous submission artifact. The runtime loads this dataset by setting:
HF_TASKS_REPO_ID=uhiguys/cad-bench-ed-2026-anonymous
HF_TASKS_REVISION=0ef63c7666d04fcc7e8061e23a37b4ebce75c4a7
Intended Use
Use this dataset with the CAD-bench runtime to evaluate CAD code-generation or agentic CAD systems. Scores are diagnostic benchmark signals; they are not certifications that generated mechanical parts are safe to manufacture or deploy.
Data Provenance
The tasks are synthetic CAD prompts and benchmark metadata authored for this benchmark. They do not contain personal data or human-subject records. The M3 socket-head task includes a STEP fixture for a standard commercial fastener, documented in the task metadata and paper license table.
Limitations
The release has 17 tasks. Some simple geometry tasks are close to solved by current models, while functional assembly tasks remain difficult. The current reference implementations use Build123D, although the benchmark is intended to score submitted CAD artifacts rather than a particular modeling API.
Citation
Anonymous Author(s). CAD-bench: An Executable Benchmark for Language-Model CAD Agents. NeurIPS Evaluations & Datasets submission, 2026.
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