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Pthahnix/MeshLex-Tokens

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Hugging Face2026-04-21 更新2026-04-26 收录
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https://hf-mirror.com/datasets/Pthahnix/MeshLex-Tokens
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# MeshLex-Tokens Per-mesh token sequence dataset for autoregressive 3D mesh generation. ## Overview Each row contains a complete mesh encoded as a token sequence with BOS/EOS delimiters. Three token formats are provided for ablation comparison. **Total meshes**: 140140 ## Vocabulary (2372 tokens) | Token Type | ID Range | Count | |---|---|---| | PAD | 0 | 1 | | BOS | 1 | 1 | | EOS | 2 | 1 | | SEP | 3 | 1 | | Position bins | 4-259 | 256 | | Scale bins | 260-323 | 64 | | Codebook indices | 324-2371 | 2048 | ## Formats - **spatial_header_c2f**: Spatial header (all positions/scales) + C2F body (codebook by level). Length: 8N+6. - **enhanced_flat**: Per-patch complete tokens (pos + scale + all codebook levels). Length: 8N+2. - **enhanced_interleaved**: Per-level sections with repeated spatial context. Length: 20N+5. ## Schema | Column | Type | Description | |---|---|---| | mesh_id | string | Unique mesh identifier | | token_ids | list[int] | Complete token sequence | | seq_len | int | Sequence length | | n_patches | int | Number of patches in mesh | | tier | string | Quality tier (gold/silver) | ## Source Built from [Pthahnix/MeshLex-Patches](https://huggingface.co/datasets/Pthahnix/MeshLex-Patches) using VQ-VAE checkpoint `pca_k2048_l4_d128` (val_recon=0.1391). ## Coordinate Normalization Per-mesh center + bounding sphere scale normalization → [-1, 1]³. Position quantization: 256 bins. Scale quantization: 64 bins. Patch ordering: Morton Z-order.
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