---
license: apache-2.0
task_categories:
  - robotics
  - image-to-3d
tags:
  - objaverse
  - procthor
  - ai2-thor
  - 3d-objects
  - embodied-ai
  - procedural-generation
---

# Objaverse VIDA Dataset

Processed 3D assets from [Objaverse](https://objaverse.allenai.org/) for use with [AI2-THOR](https://ai2thor.allenai.org/) and [ProcTHOR](https://procthor.allenai.org/).

## Contents

| Component | Description | Size |
|-----------|-------------|------|
| `processed_2023_07_28/` | ~40K processed 3D objects with textures | 27 GB |
| `houses_2023_07_28/` | 160K+ procedurally generated house layouts | 3.7 GB |
| `procthor_databases_2023_07_28/` | Asset databases, materials, placement rules | 70 MB |

## Quick Start

```bash
# Install dependencies
pip install huggingface_hub[hf_transfer]

# Download the unpack script
wget https://huggingface.co/datasets/spatial-training/objaverse_vida/raw/main/unpack.py

# Run it (downloads ~30GB and extracts to ./objaverse_vida)
python unpack.py ./objaverse_vida
```

Or specify a custom path:
```bash
python unpack.py /path/to/destination
```

## Data Format

### Processed Objects

Each object directory contains:
```
{object_id}/
├── {object_id}.pkl.gz    # 3D mesh data (gzip pickle)
├── albedo.jpg            # Diffuse texture
├── normal.jpg            # Normal map
├── emission.jpg          # Emission map
└── thor_metadata.json    # AI2-THOR metadata
```

### House Layouts

- `train.jsonl.gz` / `test.jsonl.gz` / `val.jsonl.gz` - Full house definitions
- `train/` / `test/` / `val/` - Individual house JSON files

### Asset Databases

- `asset-database.json` - Asset catalog
- `material-database.json` - Materials
- `placement-annotations.json` - Placement rules
- `receptacles.json` - Receptacle definitions

## Manual Download

If you prefer not to use the script:

```bash
# Clone the dataset
huggingface-cli download spatial-training/objaverse_vida --repo-type dataset --local-dir ./objaverse_vida

# Extract processed shards
cd objaverse_vida/processed_2023_07_28
for f in shard_*.tar; do tar -xf "$f" && rm "$f"; done
rm manifest.json

# Extract house files
cd ../houses_2023_07_28
for split in train test val; do
  tar -xf "${split}_individual.tar" -C "$split/" && rm "${split}_individual.tar"
done
```

## Citation

```bibtex
@inproceedings{deitke2023objaverse,
  title={Objaverse: A Universe of Annotated 3D Objects},
  author={Deitke, Matt and others},
  booktitle={CVPR},
  year={2023}
}

@inproceedings{deitke2022procthor,
  title={ProcTHOR: Large-Scale Embodied AI Using Procedural Generation},
  author={Deitke, Matt and others},
  booktitle={NeurIPS},
  year={2022}
}
```