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Download README.md from AFARI-Research/ChainFlow-VLA-VLM-Feature-Cache: direct link, hf CLI and curl.
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- Download file 1.18 kB
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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 | |
| - `trainval` contains 24 independent shards. | |
| - `navtest` is packed into a single archive. | |
| - The archives use `zstd` compression. Please install `zstd` before extraction if your system does not support `tar --zstd`. | |