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Download README.md from AFARI-Research/ChainFlow-VLA-VLM-Feature-Cache: direct link, hf CLI and curl.
- Browser
- Download file 1.18 kB
-
https://huggingface.co/datasets/AFARI-Research/ChainFlow-VLA-VLM-Feature-Cache/resolve/main/README.md
- Command line
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hf download hf://datasets/AFARI-Research/ChainFlow-VLA-VLM-Feature-Cache/README.md
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curl -L -o README.md https://huggingface.co/datasets/AFARI-Research/ChainFlow-VLA-VLM-Feature-Cache/resolve/main/README.md
1.18 kB
ChainFlow-VLA VLM Feature Cache
This dataset provides cached VLM hidden features and trajectory targets used by ChainFlow-VLA on NAVSIM.
Dataset Structure
navtest/
navtest.tar.zst
checksums_navtest.sha256
trainval/
trainval_0000.tar.zst
trainval_0001.tar.zst
...
trainval_0023.tar.zst
checksums_trainval.sha256
trainval_logs.txt
The trainval split is sharded by NAVSIM log folders. Each shard is an independent .tar.zst archive.
After extraction, each token folder contains:
internvl_feature.gz
trajectory_target.gz
Extract
Extract navtest:
tar --zstd -xf navtest/navtest.tar.zst
Extract all trainval shards:
for f in trainval/trainval_*.tar.zst; do
tar --zstd -xf "$f"
done
Verify Checksums
Verify navtest:
cd navtest
sha256sum -c checksums_navtest.sha256
Verify trainval:
cd trainval
sha256sum -c checksums_trainval.sha256
Notes
trainvalcontains 24 independent shards.navtestis packed into a single archive.- The archives use
zstdcompression. Please installzstdbefore extraction if your system does not supporttar --zstd.