| --- |
| annotations_creators: |
| - expert-generated |
| language_creators: |
| - expert-generated |
| language: |
| - en |
| license: mit |
| multilinguality: |
| - monolingual |
| size_categories: |
| - 1K<n<10K |
| source_datasets: |
| - original |
| task_categories: |
| - feature-extraction |
| - image-feature-extraction |
| - text-to-3d |
| - image-to-3d |
| - other |
| pretty_name: PNI-3D Multimodal CAD & Geometric Robustness Benchmark |
| dataset_info: |
| features: |
| - name: family_id |
| dtype: string |
| - name: family_type |
| dtype: string |
| - name: nominal_parameters |
| dtype: string |
| - name: variant_parameters |
| dtype: string |
| - name: nuisance_parameters |
| dtype: string |
| - name: same_part_group |
| sequence: string |
| - name: functional_variant_group |
| sequence: string |
| - name: near_duplicates |
| sequence: string |
| - name: negative_pairs |
| sequence: string |
| tags: |
| - 3d-cad |
| - geometric-ai |
| - point-cloud |
| - step |
| - mesh |
| - cross-modal-search |
| thumbnail: pni3d_overview.png |
| --- |
| |
| # PNI-3D: Multimodal CAD & Geometric AI Benchmark |
|
|
|  |
|
|
| **PNI-3D** is a benchmark dataset designed for testing fine-grained 3D CAD matching, multimodal embedding alignment, and geometric retrieval under real-world sensor distortions. |
|
|
| --- |
|
|
| ## **Key Dataset Metrics** |
|
|
| * **100 Parametric CAD Families:** Mechanical engineering primitives (flanges, mounting brackets, U-channels, spur gears, shafts, heat sinks, valve housings, and more). |
| * **2,400 Total Assets:** Pairs of nominal parts and functional variants, each in 12 representations. |
| * **12 Multimodal Representations per Part:** Native parametric CAD, polygon meshes, point clouds, voxel grids, and 2D depth projections. |
| * **Explicit Ground Truth:** same-part groups, functional-variant groups, near-duplicate sets, negative pairs, and quantitative nuisance parameters. |
|
|
| --- |
|
|
| ## **12 Representations Per Part** |
|
|
| Each parametric CAD instance is represented across 12 distinct formats to benchmark cross-modal embedding models: |
|
|
| | Category | Representation | Description | |
| | :--- | :--- | :--- | |
| | **Native CAD** | `_STEP` | Boundary Representation (B-Rep) STEP file. | |
| | | `_OBJ` | Polygon mesh export. | |
| | **Meshes** | `_MESH_FINE` | High-density watertight triangulation. | |
| | | `_MESH_COARSE` | Decimated lightweight geometry (25% face count). | |
| | | `_MESH_CORRUPTED` | Non-manifold mesh with missing facets and flipped normals. | |
| | **Point Clouds** | `_PCD_CLEAN` | Dense uniform surface point sample (N = 10,000). | |
| | | `_PCD_NOISY` | Point cloud with Gaussian displacement along surface normals (σ = 0.5 mm). | |
| | | `_PCD_SPARSE` | Decimated low-density point cloud (N = 500). | |
| | **Sensor / Spatial** | `_DEPTH_MAP` | Multi-view 128 × 128 normalized depth array (`.npy`). | |
| | | `_VOXEL` | 32 × 32 × 32 spatial occupancy grid (`.npy`). | |
| | **Transformations** | `_NUISANCE_ROTATED` | Arbitrary SO(3) rotation (Euler angles recorded per family). | |
| | | `_NUISANCE_SCALED` | Anisotropic scaling factors in [0.80×, 1.25×] (recorded per family). | |
|
|
| --- |
|
|
| ## **Part Varieties & Parameter Splits** |
|
|
| PNI-3D isolates **nominal CAD geometry** from **functional variants** to evaluate whether geometric models recognize subtle topological changes (like bolt-hole counts or thickness adjustments): |
|
|
| ```json |
| { |
| "family_id": "FAM_001", |
| "family_type": "flange", |
| "nominal_parameters": { |
| "outer_diameter": 83.74, |
| "bore_diameter": 25.14, |
| "thickness": 13.19, |
| "bolt_holes": 8, |
| "bolt_circle_radius": 32.33, |
| "fillet_radius": 2.82 |
| }, |
| "variant_parameters": { |
| "outer_diameter": 83.74, |
| "bore_diameter": 25.14, |
| "thickness": 18.19, |
| "bolt_holes": 10, |
| "bolt_circle_radius": 32.33, |
| "fillet_radius": 0.0 |
| }, |
| "nuisance_parameters": { |
| "rotation_angles_deg": [127.3, 34.677, -159.243], |
| "scale_factors": [1.0313, 1.1479, 1.1917], |
| "noise_sigma_mm": 0.5, |
| "decimation_ratio": 0.25, |
| "voxel_resolution": 32 |
| }, |
| "same_part_group": [ |
| "P_001_ORIGINAL_STEP", |
| "P_001_ORIGINAL_MESH_FINE", |
| "P_001_ORIGINAL_PCD_CLEAN", |
| "P_001_ORIGINAL_VOXEL" |
| ], |
| "near_duplicates": [ |
| "P_001_ORIGINAL_MESH_FINE", |
| "P_001_ORIGINAL_MESH_COARSE", |
| "P_001_ORIGINAL_OBJ" |
| ] |
| } |
| ``` |
|
|
| The 12 CAD categories are: flange, spur gear, mounting bracket, heat sink, valve housing, |
| pipe fitting, hex bolt, stepped shaft, pulley, gusset, collar, and U-channel. |
|
|
| ## **Repository Contents** |
|
|
| | Path | Description | |
| | :--- | :--- | |
| | `metadata.parquet` | 100-row viewer table (schema above). | |
| | `ground_truth_index.json` | Full ground-truth index (all groups + nuisance parameters). | |
| | `manifest.csv` | Asset-level index (family, role, representation, path). | |
| | `assets/FAM_*/` | All 2,400 asset files (12 per part × 2 parts × 100 families). | |
| | `generate_pni3d.py` | Parametric generator (reproduce / scale to 600k). | |
| | `evaluate_pni3d.py` | Retrieval + Samples-to-Threshold benchmark harness. | |
| | `pni3d_overview.png` | Pipeline overview. | |
|
|
| ## **Quick Start Usage** |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("tryforge/pni-3d-benchmark") |
| |
| # Inspect a sample part family |
| sample = dataset["train"][0] |
| print("Family Type:", sample["family_type"]) |
| print("Nominal Bolt Holes:", sample["nominal_parameters"]["bolt_holes"]) |
| print("Variant Bolt Holes:", sample["variant_parameters"]["bolt_holes"]) |
| ``` |
|
|
| ## **Contact & Support** |
|
|
| If you encounter any issues accessing the dataset or require additional parameter sweeps, reach out directly: |
|
|
| Email: ravi@getforge.tech |
|
|
| LinkedIn: https://www.linkedin.com/in/raveekumar1/ |
|
|
