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@@ -52,7 +52,7 @@ Each archive follows the ABC dataset structure: files are organized as `{modalit
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  | `DeepCAD_train_val_test_split.json` | DeepCAD train/val/test split. |
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  | `stage1_indices.json` | Models with only sketch/extrude operations used in train stage 1. |
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- | `unique_models.json` | Subset of 382609 CADFS models selected by filtering out duplicate models (same FeatureScript or geometry). |
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  ### `raw/` — Raw Source Data
@@ -74,8 +74,8 @@ Minimal data required to perform evaluation, without the need to download the fu
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  | Benchmark | Contents | Description |
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  |-----------|----------|-------------|
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  | **CADFS** | jsonl, fs, annotations, images, step, stl | 9347 models sampled from the full CADFS dataset, excluding DeepCAD train/val/test split. |
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- | **DeepCAD** | jsonl, fs, annotations, images, step, stl | 7278 models from the original DeepCAD test set. |
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- | **CADParser** | jsonl, images, step, stl | 6764 models from the CADParser, the subset is selected by `index_1` in the model name. |
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  ### `train_data/` — Training Splits
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  |------|-------------|
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  | `DeepCAD_train_val_test_split.json` | DeepCAD train/val/test split. |
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  | `stage1_indices.json` | Models with only sketch/extrude operations used in train stage 1. |
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+ | `unique_models.json` | Subset of 382609 CADFS models selected by filtering out duplicates (similar FeatureScript or geometry). |
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  ### `raw/` — Raw Source Data
 
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  | Benchmark | Contents | Description |
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  |-----------|----------|-------------|
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  | **CADFS** | jsonl, fs, annotations, images, step, stl | 9347 models sampled from the full CADFS dataset, excluding DeepCAD train/val/test split. |
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+ | **DeepCAD** | jsonl, fs, annotations, images, step, stl | 7,278 models in FeatureScript representation, subset of the 8k [DeepCAD](https://github.com/rundiwu/DeepCAD) test set. |
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+ | **CADParser** | jsonl, images, step, stl | 6764 models from the [CADParser](https://doi.org/10.24963/ijcai.2023/200) dataset, used in the paper as an additional evaluation set for image-conditioned reconstruction; the subset is selected by `index_1` in the model name. |
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  ### `train_data/` — Training Splits
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