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README.md

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+---
+license: apache-2.0
+---
+
+# 3D-IDE Training Data
+
+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.
+
+> **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.
+
+## Contents
+
+| File | Size | Contents (archive-internal paths) | Extract into |
+|---|---|---|---|
+| `3dide_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 `3dide_data.zip` | — |
+| `md5_manifest_scannet.txt` | — | MD5 of every raw file under `scannet/` | — |
+
+The loose `processed/`, `metadata/`, `benchmark/`, `balanced/` folders in this repo mirror the contents of `3dide_data.zip` for convenient single-file access.
+
+## Extraction
+
+Run from the repo root of 3D-IDE:
+
+```bash
+cd 3D-IDE
+
+# 1. main data
+unzip 3dide_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
+```
+
+## Verify (instead of re-downloading)
+
+If you already prepared data and want to check it matches ours exactly:
+
+```bash
+cd 3D-IDE/data
+md5sum -c md5_manifest.txt           # json / metadata / embodiedscan
+md5sum -c md5_manifest_scannet.txt   # posed_images / mask / pcd
+```
+
+Any `FAILED` line points at a file that differs from our training copy.
+
+## Not included (download separately)
+
+| 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) |
+
+## Final layout
+
+```
+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
+```