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Download README.md from xinjiu/NavGen: direct link, hf CLI and curl.
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https://huggingface.co/datasets/xinjiu/NavGen/resolve/main/README.md
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hf download hf://datasets/xinjiu/NavGen/README.md
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curl -L -o README.md https://huggingface.co/datasets/xinjiu/NavGen/resolve/main/README.md
1.13 kB
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
pip install huggingface_hub
Download via Python
from huggingface_hub import snapshot_download
snapshot_download('xinjiu/NavGen', repo_type='dataset', local_dir='./NavGen')
Download via CLI
hf download xinjiu/NavGen --repo-type dataset --local-dir ./NavGen
Download via git
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 thevideocolumn ofNavGen.csv.
We will release all our datasets once the paper is accepted.