Add dataset card and package publication index

EXTERNAL_DATA.md

@@ -37,6 +37,10 @@ access. Do not include these links or their targets in a public upload.
 
 ## nuScenes
 
+Obtain GT through [Occ3D-nuScenes](https://github.com/Tsinghua-MARS-Lab/Occ3D#occ3d-nuscenes),
+world-info through [II-World](https://github.com/lzzzzzm/II-World), and the
+scene-organized info through [DOME](https://github.com/gusongen/DOME).
+
 - `gts` is the original Occ3D validation GT, in the canonical 18-class space.
 - `world-nuscenes_infos_val.pkl` provides the official frame-wise poses and
   controls used by the II-World/GenieDrive adapters.
@@ -48,6 +52,11 @@ access. Do not include these links or their targets in a public upload.
 
 ## Waymo
 
+Obtain validation `voxel04` through
+[Occ3D-Waymo](https://github.com/Tsinghua-MARS-Lab/Occ3D#occ3d-waymo), after
+accepting the original dataset access terms. The Motion dataset is not a
+substitute for matching Perception sensor segments when regenerating exports.
+
 - Mount the original Occ3D voxel04 root as `native_gt`; it must contain
   `validation-data`. Native `voxel_label` is mapped using the provided class map.
   Derived `semantics` is already canonical and must not be mapped again.
@@ -85,6 +94,8 @@ python tools/prepare_external_data.py mount --dataset nuscenes \
   --source /datasets/raw/infos/nuscenes_infos_val_temporal_v3_scene.pkl
 python tools/prepare_external_data.py mount --dataset waymo \
   --kind native_gt --source /datasets/raw/occ3d-waymo/voxel04
+python tools/prepare_external_data.py mount --dataset carla \
+  --kind native_dataset --source /datasets/raw/uniocc/Carla-2Hz-val
 python tools/prepare_external_data.py carla-gt \
   --source-root /datasets/raw/uniocc/Carla-2Hz-val
 python tools/prepare_external_data.py check --dataset nuscenes --trust-pickle
@@ -98,6 +109,14 @@ source metadata checksum, reads only numeric NPZ arrays, maps labels and flips
 axis 1 once. It does not rewrite controls or original files. The dependency
 check verifies complete clean-reference coverage, not GPU metric reproduction.
 
+To obtain just this source subset:
+
+```bash
+hf download tasl-lab/uniocc --repo-type dataset \
+  --revision e81775b36e376f591a1145ca054b72fd541a67eb \
+  --include 'Carla-2Hz-val/*' --local-dir /datasets/raw/uniocc
+```
+
 Weights are not part of this dataset. Downstream checkpoints are required to run
 forecasters; upstream 3D weights are needed only for re-exporting predictions.
 Prefer official references in the code release's `configs/resources.json`.

README.md

@@ -1,5 +1,6 @@
 ---
 pretty_name: OccStress
+viewer: false
 license: other
 license_name: occstress-source-dependent-terms
 license_link: https://huggingface.co/datasets/insailab/OccStress/blob/main/DISTRIBUTION.md
@@ -35,6 +36,10 @@ supporting metadata for **OccStress-nuScenes**, **OccStress-Waymo** and
 **OccStress-CARLA**. It does not redistribute original camera images, LiDAR
 point clouds, official clean GT or model checkpoints.
 
+This is an archive-based benchmark, not a row-based Hugging Face `datasets`
+table. Download the selected `.tar.zst` packages below; JSON manifests are
+release metadata, not individual evaluation samples.
+
 > **Availability, 2026-10-06:** Data preparation is complete. Package upload is
 > in progress. Consult [packages.json](packages.json) for the current status:
 > only packages marked `available` have passed remote size/content checks.
@@ -84,7 +89,24 @@ 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.
 
-To download all currently published files:
+From the OccStress code checkout, the recommended 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.
+
+Alternatively, to download all currently published files with the Hub CLI:
 
 ```bash
 python -m pip install huggingface_hub
@@ -115,6 +137,7 @@ separate directory for original dependencies:
 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

packages.json

@@ -507,9 +507,12 @@
       "unpacked_bytes": 2147472288
     },
     {
+      "bytes": 25109723,
       "files": 3354,
       "path": "archives/upstream/OccStress-nuScenes/camera_only/stcocc/part-00040.tar.zst",
-      "status": "pending"
+      "sha256": "a6f3ef7fc7695cf80aced255ef00727b89f1633bf45d6bba7ea4eef076172b65",
+      "status": "available",
+      "unpacked_bytes": 2147472288
     },
     {
       "files": 3354,