| --- |
| license: apache-2.0 |
| --- |
| |
| # 3D-IDE Training Data |
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| Complete, verified training data for [3D-IDE](https://github.com/ChushanZhang/3D-IDE) (CVPR 2026). This is the exact data used in our experiments — byte-identical to our training server. Use `md5_manifest.txt` / `md5_manifest_scannet.txt` to verify your local copy without re-downloading. |
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| > **ScanNet notice:** `scannet/` archives and parts of the metadata are derived from [ScanNet](http://www.scan-net.org/). By downloading them you agree to the ScanNet Terms of Use. |
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| ## Contents |
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| | File | Size | Contents (archive-internal paths) | Extract into | |
| |---|---|---|---| |
| | `3d_ide_data.zip` | 4.3 GB | `processed/`, `metadata/`, `benchmark/`, `balanced/`, `embodiedscan/`, `multi.yaml` | `data/` | |
| | `scannet/scannet_posed_images_part1.zip` | ~25 GB | `posed_images/scene0000_00 … ` (first half) | `data/scannet/` | |
| | `scannet/scannet_posed_images_part2.zip` | ~25 GB | `posed_images/…` (second half) | `data/scannet/` | |
| | `scannet/scannet_mask_pcd.zip` | ~10 GB | `mask/`, `pcd_with_object_aabbs/` | `data/scannet/` | |
| | `vggt_features/vggt_features_part{1..9}.zip` | 9 × ~43 GB | `scene…/vggt_sliced.npy` (no wrapper dir!) | `data/scannet/posed_images_3d_feature_vggt/` | |
| | `md5_manifest.txt` | — | MD5 of every file in `3d_ide_data.zip` | — | |
| | `md5_manifest_scannet.txt` | — | MD5 of every raw file under `scannet/` | — | |
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| The loose `processed/`, `metadata/`, `benchmark/`, `balanced/` folders in this repo mirror the contents of `3d_ide_data.zip` for convenient single-file access. |
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| ## Extraction |
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| Run from the repo root of 3D-IDE: |
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| ```bash |
| cd 3D-IDE |
| |
| # 1. main data |
| unzip 3d_ide_data.zip -d data/ |
| |
| # 2. scannet raw data |
| unzip scannet_posed_images_part1.zip -d data/scannet/ |
| unzip scannet_posed_images_part2.zip -d data/scannet/ |
| unzip scannet_mask_pcd.zip -d data/scannet/ |
| |
| # 3. VGGT features (note: archives contain scene dirs directly, no wrapper) |
| mkdir -p data/scannet/posed_images_3d_feature_vggt |
| for i in 1 2 3 4 5 6 7 8 9; do |
| unzip vggt_features_part$i.zip -d data/scannet/posed_images_3d_feature_vggt/ |
| done |
| ``` |
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| ## Verify (instead of re-downloading) |
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| If you already prepared data and want to check it matches ours exactly: |
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| ```bash |
| cd 3D-IDE/data |
| md5sum -c md5_manifest.txt # json / metadata / embodiedscan |
| md5sum -c md5_manifest_scannet.txt # posed_images / mask / pcd |
| ``` |
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| Any `FAILED` line points at a file that differs from our training copy. |
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| ## Not included (download separately) |
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| | Item | Where | |
| |---|---| |
| | `data/models/LLaVA-Video-7B-Qwen2/` | [lmms-lab/LLaVA-Video-7B-Qwen2](https://huggingface.co/lmms-lab/LLaVA-Video-7B-Qwen2) | |
| | `VGGT_checkpoints/model.pt` | [facebook/VGGT-1B](https://huggingface.co/facebook/VGGT-1B/blob/main/model.pt) | |
|
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| ## Final layout |
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| ``` |
| 3D-IDE/ |
| ├── data/ |
| │ ├── balanced/ |
| │ ├── benchmark/ |
| │ ├── embodiedscan/ |
| │ ├── metadata/ |
| │ ├── models/LLaVA-Video-7B-Qwen2/ # separate download |
| │ ├── processed/ |
| │ ├── multi.yaml |
| │ └── scannet/ |
| │ ├── mask/ |
| │ ├── pcd_with_object_aabbs/ |
| │ ├── posed_images/ |
| │ └── posed_images_3d_feature_vggt/ |
| └── VGGT_checkpoints/model.pt # separate download |
| ``` |
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