---
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 |
|---|---|---|---|
| `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/` | — |

The loose `processed/`, `metadata/`, `benchmark/`, `balanced/` folders in this repo mirror the contents of `3d_ide_data.zip` for convenient single-file access.

## Extraction

Run from the repo root of 3D-IDE:

```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
```

## 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
```