| # NavGen | |
| Visual Generative Models as a Scalable Data Engine for Embodied 3D Navigation. | |
| ## Description | |
| NavGen contains first-person navigation videos with detailed action descriptions (prompts). Each sample is a short video clip paired with a prompt describing the scene and camera motion. | |
| ## Download | |
| ### Install HuggingFace Hub | |
| ```bash | |
| pip install huggingface_hub | |
| ``` | |
| ### Download via Python | |
| ```python | |
| from huggingface_hub import snapshot_download | |
| snapshot_download('xinjiu/NavGen', repo_type='dataset', local_dir='./NavGen') | |
| ``` | |
| ### Download via CLI | |
| ```bash | |
| hf download xinjiu/NavGen --repo-type dataset --local-dir ./NavGen | |
| ``` | |
| ### Download via git | |
| ```bash | |
| git lfs install | |
| git clone https://huggingface.co/datasets/xinjiu/NavGen | |
| ``` | |
| ## Files | |
| - `NavGen.csv`: video filenames and prompts. | |
| - `navgen_videos_part1.tar.gz` ... `navgen_videos_part4.tar.gz`: the 50,000 | |
| video clips, 12,500 per archive. Each archive is self-contained: extract any | |
| one of them on its own, no merging required. The file names match the `video` | |
| column of `NavGen.csv`. | |
| We will release all our datasets once the paper is accepted. | |