| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-to-3d |
| - text-to-3d |
| language: |
| - en |
| tags: |
| - 3d |
| - benchmark |
| - hard-surface |
| - cad |
| - shape-as-code |
| - reconstruction |
| pretty_name: MechBench-36 |
| size_categories: |
| - n<1K |
| --- |
| |
| # MechBench-36 |
|
|
| **36 hard-surface, single-object evaluation cases for image- and text-conditioned 3D generation.** |
|
|
| Each case is one mechanically complex object — vehicles, robots, instruments, aerospace mechanisms, sci-fi hardware — rendered as a clean studio product shot, together with the text prompts used to condition and to evaluate generation. The suite was built to stress exactly what hard-surface objects punish: open frames, thin supports, coaxial nesting, articulated linkages, repeated and mirrored parts, deliberate asymmetry. |
|
|
| MechBench-36 is the evaluation suite of the paper [*Procedura: A Procedural Modeling Agent for 3D Shape-as-Code Generation*](https://arxiv.org/abs/2608.26238) ([paper page](https://huggingface.co/papers/2608.26238)). |
|
|
| ## Fields |
|
|
| | field | type | description | |
| |---|---|---| |
| | `id` | string | case identifier (e.g. `assault_buggy`) | |
| | `image` | image | the reference render, 1254×1254 RGB, white/light studio background, three-quarter product view | |
| | `condition_prompt` | string | short conditioning prompt describing the object — what an image- or text-conditioned method receives | |
| | `spec` | string | the full evaluation spec: the condition prompt plus what is (and is not) gradeable from the single reference view | |
| | `reference_generation_prompt` | string | the prompt used to generate the reference image itself (provenance / reproducibility) | |
| | `track` | string | benchmark track (`object`) | |
| | `difficulty` | string | `hard`, `very_hard`, or `legacy_unrated` | |
| | `domain` | string | object domain (e.g. `road_vehicle`, `aerial_robotics`, `astronomy_instrument`) | |
| | `challenge_tags` | list[string] | geometric challenges the case was authored to contain | |
|
|
| One split: `test` (36 rows). There is deliberately no train split — this is an evaluation benchmark. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("LoYoT/mechbench-36", split="test") |
| case = ds[0] |
| case["image"] # PIL image, 1254x1254 |
| case["condition_prompt"] # text conditioning |
| ``` |
|
|
| Typical protocol: condition a method on `image` (image-to-3D) or on `condition_prompt` (text-to-3D), and evaluate the produced mesh against the reference view. The `spec` field states which claims the single reference view can and cannot support, so judges do not grade occluded or prompt-only detail. |
|
|
| ## Provenance and license |
|
|
| The reference images are AI-generated product renders authored for this benchmark (generation prompts included in `reference_generation_prompt`); the prompts and specs were written by the authors. No scanned, photographed, or third-party assets are included. Released under CC-BY-4.0. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{procedura2026, |
| title = {Procedura: A Procedural Modeling Agent for 3D Shape-as-Code Generation}, |
| author = {Lin, Youtian and others}, |
| journal = {arXiv preprint arXiv:2608.26238}, |
| year = {2026} |
| } |
| ``` |
|
|
