---
tags:
- 3D vision
- novel view synthesis
- NeRF
- 3D Gaussian Splatting
- Generalizable NeRF
- Generative Methods
- text-to-3d
- image-to-3d
pretty_name: DL3DV
size_categories:
- 100B<n<1T
---
# DL3DV Testing Split Download Instructions

This repo contains all 55 scenes for evaluation. **Note: it is an independent dataset, and none of its scenes overlap with those in DL3DV-10K**. Have a galance on the preview page: https://dl3dv-10k.github.io/DL3DV-Testing-Split-Preview/.

# Download
As the whole benchmark dataset is ~500G, a python [script](https://huggingface.co/datasets/DL3DV/DL3DV-Testing-Split/blob/main/download.py) to download and untar files. 

### Environment Setup 
The download script relies on `huggingface hub`, `tqdm`.  You can download by the following command in your python environment. The download script was 

```bash 
pip install huggingface_hub tqdm 
```

After downloading `huggingface_hub`, remember to login first to get ready for download. 
```bash
# in terminal, use the following command and your huggingface token to login
huggingface-cli login
```

### Download the testing split
After downloading this [script](https://huggingface.co/datasets/DL3DV/DL3DV-Testing-Split/blob/main/download.py), use this command:
``` bash
# download the testing split to local directory called ./DL3DV-Evaluation. workers will affect the untar speed.
python download.py --dst ./DL3DV-Evaluation --workers 8
```