| --- |
| pretty_name: ShapeCodeBench eval_v1 |
| license: cc-by-4.0 |
| size_categories: |
| - n<1K |
| tags: |
| - image |
| - synthetic |
| - benchmark |
| - code-generation |
| - program-synthesis |
| - arxiv:2605.11680 |
| --- |
| |
| # ShapeCodeBench eval_v1 |
| |
| This dataset is the frozen `eval_v1` reporting split for |
| [ShapeCodeBench](https://github.com/shivamk3r/shape-code-bench), a synthetic |
| benchmark for testing whether multimodal models can reconstruct executable |
| drawing programs from rendered shape images. |
|
|
| It contains 150 grayscale `512x512` PNG images: 50 `easy`, 50 `medium`, and |
| 50 `hard` examples. Each row includes the rendered image, the canonical |
| ShapeCodeBench DSL program that generated it, generation metadata, render |
| configuration, and the SHA256 checksum for the source PNG. |
|
|
| Zenodo remains the archival release DOI: |
| <https://doi.org/10.5281/zenodo.20132286>. This Hugging Face dataset is a |
| discoverable and loadable mirror of the frozen evaluation split. |
|
|
| ## Load |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("shivamk3r/shape-code-bench-eval-v1") |
| ``` |
|
|
| ## Columns |
|
|
| - `image`: rendered target image. |
| - `image_file_name`: original path under `data/eval_v1`. |
| - `image_sha256`: checksum from `SHA256SUMS`. |
| - `sample_id`, `split`, `difficulty`, `seed`: sample identity and generation seed. |
| - `image_size`, `num_shapes`, `shape_inventory`: scene summary metadata. |
| - `ground_truth_program`: canonical ShapeCodeBench DSL program. |
| - `render_config`: deterministic V1 renderer configuration. |
|
|
| ## Evaluation Hygiene |
|
|
| `eval_v1` is a frozen reporting split. Do not tune prompts, adapters, model |
| checkpoints, heuristic parameters, or generator settings on this split and then |
| report the result as clean held-out performance. |
|
|
| For development, generate separate train/dev splits from fresh seeds using the |
| ShapeCodeBench repository. |
|
|
| ## Links |
|
|
| - Paper: <https://arxiv.org/abs/2605.11680> |
| - GitHub: <https://github.com/shivamk3r/shape-code-bench> |
| - Zenodo archived release: <https://doi.org/10.5281/zenodo.20132286> |
| - Artifact license: <https://github.com/shivamk3r/shape-code-bench/blob/main/LICENSE-ARTIFACTS.md> |
|
|
| ## License |
|
|
| The generated benchmark dataset is licensed under CC BY 4.0. ShapeCodeBench |
| source code is licensed separately under MIT. |
|
|
