--- dataset_info: features: - name: item_id dtype: string - name: prompt dtype: string - name: domain dtype: string - name: level dtype: string - name: conditioning dtype: string - name: reference_image dtype: image - name: nova3d_preview dtype: image - name: nova3d_code dtype: string - name: meshy_preview dtype: image - name: trellis2_preview dtype: image - name: triposg_preview dtype: image - name: partcrafter_preview dtype: image - name: cubepart_preview dtype: image - name: meshanything_preview dtype: image - name: cadcoder_preview dtype: image - name: cadcoder_code dtype: string - name: blenderllm_preview dtype: image - name: blenderllm_code dtype: string - name: text2cad_preview dtype: image - name: text2cadquery_preview dtype: image - name: text2cadquery_code dtype: string - name: llamamesh_preview dtype: image - name: naive_blender_llm_preview dtype: image - name: naive_blender_llm_code dtype: string splits: - name: train num_bytes: 96231418 num_examples: 54 download_size: 95198118 dataset_size: 96231418 configs: - config_name: default data_files: - split: train path: data/train-* license: cc-by-4.0 task_categories: - text-to-3d - image-to-3d pretty_name: Nova3D-Bench (preview) size_categories: - n<1K --- # Nova3D-Bench (preview) A frozen, spec-grounded benchmark from *Nova3D: Code-Native Generation of Programmable 3D Assets*: 54 prompts across six domains and three difficulty levels, each with a machine-checkable ground-truth spec. It compares **code-native** 3D generation — a program that produces the model, not just the model — against mesh-native, CAD, and part-structured baselines. This is a **preview release**: one row per benchmark item, one column per pipeline. See [Data completeness](#data-completeness) below — full `.glb` models are currently only available for 2 of the 13 pipelines; the rest are render previews only, pending baseline re-runs. ## Dataset summary | | | |---|---| | Benchmark items | 54 | | Domains | 6 (architecture, characters, furniture, mechanical, tools, vehicles) | | Difficulty levels | 3 (L1 ≤8 parts / L2 9–25 parts / L3 >25 parts) | | Conditioning | 24 text-only, 30 image+text | | Pipelines run | 13 (Nova3D + 12 baselines) | ## Schema One row per benchmark item. Metadata columns, then one `_preview` image column per pipeline, plus a `_code` text column for the 5 pipelines that emit source. | Column | Type | Description | |---|---|---| | `item_id` | string | e.g. `arch-L1-01` | | `prompt` | string | Full instruction given to every system (image items still get a text prompt — see note below) | | `domain` | string | One of the 6 domains | | `level` | string | `L1` / `L2` / `L3` | | `conditioning` | string | `text` or `image` | | `reference_image` | image | Synthetic reference photo/sketch; a shared "n/a" placeholder for text-only items | | `_preview` | image | Rendered textured view of that pipeline's output; "n/a" placeholder if the pipeline doesn't apply to this item's conditioning type, or the run failed | | `_code` | string | Generated source (Nova3D `code.py`, CAD-Coder `model.py`, BlenderLLM `model.bpy.py`, Text2CADQuery `code.py`, naive-Blender-LLM `code.py`); `null` where not applicable | **Note on `reference_image`/`_preview`:** every Image column always holds a real image, never `null` — the Hugging Face Viewer renders `null` in an Image column as a broken "Not supported with pagination yet" cell instead of blank, so a shared dark "n/a" placeholder is used wherever nothing applies. **Note on prompts:** image-conditioned items are still fully text-prompted — e.g. `"Recreate the street bollard shown in the reference photo."` — and any numeric constraints on an image item are spelled out in the prompt text too, since a constraint the system can't see in text isn't a fair test. ## Pipeline registry — 13 total | Category | Pipelines | What it ships | |---|---|---| | Code-native | Nova3D, BlenderLLM | A program that produces the model | | CAD | CAD-Coder, Text2CAD, Text2CADQuery | Parametric solids via a CAD kernel (CadQuery / STEP) | | Part-structured | PartCrafter, CubePart | Mesh output with explicit part segmentation | | Mesh-native | Meshy, TRELLIS.2, TripoSG, MeshAnything, LlamaMesh, naive-Blender-LLM* | Direct mesh surface, no source, no part structure | \* naive-Blender-LLM is an **ablation of Nova3D itself** (same underlying LLM route, no master prompt / repair loop / validation pass) — included to isolate what Nova3D's engineering contributes, not a third-party system. Coverage varies by pipeline because most baselines only support one conditioning type: Nova3D and Meshy ran on all 54 items; the 5 image-only baselines (TRELLIS.2, TripoSG, PartCrafter, CubePart, MeshAnything) only apply to the 30 image-conditioned items; the 5 text-only baselines (CAD-Coder, BlenderLLM, Text2CAD, Text2CADQuery, naive-Blender-LLM) only apply to the 24 text-conditioned items, and further drop below 24 from real generation failures on that baseline. ## Data completeness This preview currently ships **render previews for every pipeline** but **full `.glb` models for only 2 of the 13 pipelines**: | Status | Pipelines | |---|---| | `.glb` available | Nova3D (54/54), naive-Blender-LLM (39/54 — rest were failed exports) | | `.glb` not currently recoverable | Meshy, TRELLIS.2, TripoSG, PartCrafter, CubePart, MeshAnything, CAD-Coder, Text2CAD, Text2CADQuery, LlamaMesh, BlenderLLM | Nova3D and naive-Blender-LLM route through persistent Azure Blob Storage, so their models were recoverable after the fact. The other 11 baselines were run against ephemeral Cloudflare Quick Tunnels or local/private-network servers at generation time; those endpoints no longer exist, so their `.glb`s are not recoverable from this repo and would require re-running the baseline or locating a separate archive of the original outputs. ## License CC BY 4.0. No named or trademarked objects are included in the benchmark (see IP policy in the paper's dataset section).