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Download DOWNLOAD.md from InSAI-Lab/OccStress: direct link, hf CLI and curl.
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4.32 kB
| # Download and Setup | |
| Return to the [dataset card](README.md) for coverage and an initial download example. | |
| The download entry point is | |
| [insailab/OccStress](https://huggingface.co/datasets/insailab/OccStress). | |
| The [package index](packages.json) lists archive paths, availability, file counts, | |
| unpacked sizes and archive SHA256 values. Each archive is independent, not a | |
| split volume; extract selected archives into the same root. Asset shards target | |
| 2 GiB before compression and are grouped by dataset, track and upstream source. | |
| ## Verified Downloads From the Code Checkout | |
| From the OccStress code checkout, this workflow selects an immutable | |
| dataset revision, downloads only the requested track, and verifies archive | |
| sizes and SHA256 checksums: | |
| ```bash | |
| python -m pip install -e '.[download]' | |
| python tools/list_data_packages.py --fetch --dataset waymo --track manual > selection.json | |
| python tools/download_data.py --selection selection.json \ | |
| --output-dir /datasets/OccStress-download | |
| ``` | |
| Replace `waymo` with `nuscenes` or `carla`, and `manual` with `upstream` or `all` | |
| as needed. Keep the selection and download receipt with the evaluation record. | |
| Only packages marked `available` can be downloaded with this tool. Re-running | |
| reuses verified archives; `--verify-only` checks a download without network access. | |
| Use a separate download/extraction directory for each dataset revision. | |
| ## Hub CLI Downloads | |
| To download all published files with the Hub CLI: | |
| ```bash | |
| python -m pip install huggingface_hub | |
| hf download insailab/OccStress --repo-type dataset \ | |
| --local-dir /datasets/OccStress-download | |
| ``` | |
| For a smaller download, this example selects Waymo manual assets and the | |
| corresponding protocols/metadata. The published package index records the | |
| complete archive set for each selection. | |
| ```bash | |
| hf download insailab/OccStress --repo-type dataset \ | |
| --local-dir /datasets/OccStress-download \ | |
| --include README.md DOWNLOAD.md FORMAT.md EXTERNAL_DATA.md DISTRIBUTION.md packages.json \ | |
| 'manifests/*' 'metadata/common.tar.zst' 'metadata/OccStress-Waymo.tar.zst' \ | |
| 'archives/manual/OccStress-Waymo/*.tar.zst' | |
| ``` | |
| Metadata packages contain all protocols for their dataset. Running an upstream | |
| or position-sweep protocol additionally requires the corresponding asset shards. | |
| Position sweeps reuse manual/upstream assets; they have no duplicate voxel packs. | |
| ## Extraction and External Dependencies | |
| Downloading files does not extract archives or obtain external GT. Use a | |
| separate directory for original dependencies: | |
| ```bash | |
| export OCCSTRESS_DATA_ROOT=/datasets/OccStress | |
| export OCCSTRESS_EXTERNAL_ROOT=/datasets/OccStress-external | |
| mkdir -p "$OCCSTRESS_DATA_ROOT" | |
| set -euo pipefail | |
| find /datasets/OccStress-download/metadata /datasets/OccStress-download/archives \ | |
| -type f -name '*.tar.zst' -print0 | \ | |
| while IFS= read -r -d '' archive; do | |
| tar --zstd -xf "$archive" --no-same-owner -C "$OCCSTRESS_DATA_ROOT" | |
| done | |
| ``` | |
| The extraction example uses Bash, GNU tar and zstd. The archives contain | |
| relative paths directly under `meta/`, `protocols/`, `occ/` and `events/`; do | |
| not strip a path component. Keep `manifests/` and the documentation beside | |
| those directories if you also want the release records in the extracted tree. | |
| Archive checksums refer to the compressed files, not individual NPZ assets. | |
| In the OccStress code checkout, follow [EXTERNAL_DATA.md](EXTERNAL_DATA.md) to | |
| mount authorized Occ3D GT and official info files, or prepare CARLA's canonical | |
| GT. Then check the dataset you intend to use: | |
| ```bash | |
| python tools/prepare_external_data.py check --dataset nuscenes --trust-pickle | |
| python tools/prepare_external_data.py check --dataset waymo --trust-pickle | |
| python tools/prepare_external_data.py check --dataset carla --trust-pickle | |
| ``` | |
| These are independent commands; only run the checks for datasets you prepared. | |
| Model evaluation also requires the selected forecaster's environment and | |
| checkpoint. Upstream 3D weights are needed only to regenerate exports, not to | |
| consume the provided predictions. Use the model-specific instructions in the | |
| code release. | |
| This is a file-based benchmark consumed by OccStress adapters, not an Arrow | |
| table to open directly with `datasets.load_dataset`. Protocol PKLs must come | |
| from a trusted source; do not unpickle arbitrary downloaded files. | |