Restore full dataset card

Restores the 2026-08-11 card with folder paths updated to platform_layouts/ and viewpoint_perturbation/ (renamed in d8ce5d48).

README.md

@@ -1,6 +1,109 @@
 ---
 license: cc-by-nc-sa-4.0
+pretty_name: RoboGeo
+task_categories:
+  - object-detection
+tags:
+  - autonomous-driving
+  - bev-perception
+  - robustness
+  - multi-camera
+  - carla
+  - synthetic
+size_categories:
+  - 100B<n<1T
 ---
 
-Dataset for a paper under review. Documentation and access will be provided
-upon publication.
+# RoboGeo: Benchmarking Camera-Geometry Robustness in Multi-Camera BEV Perception
+
+**WACV 2027 (Datasets Track).** A CARLA-based benchmark that measures how robust
+multi-camera BEV perception models (3D detection and BEV segmentation) are to
+**camera-geometry changes**: viewpoint perturbation (**VP**) and cross-sensor
+transfer (**CTS**) across three ego-vehicle platforms (**sedan / suv / bus**).
+
+> 🔒 This dataset is private until the paper is published.
+
+## What's inside
+
+| component | files | size | contents |
+|---|---|---|---|
+| `metadata/carla_geobev_meta.tar.zst` | 1 | 1.5 GB | nuScenes-format DBs `v1.0-carla_{sedan,suv,bus}` (train, 220 scenes) + `..._eval` (eval, 49 scenes), `split/{train,val}.txt`, detection info `.pkl`s |
+| `platform_layouts/RGB-*.tar` | 18 | 256 GB | multi-camera RGB sweeps: 3 vehicles × 6 cameras (`RGB-CAM_*` = sedan, `RGB-suv-CAM_*`, `RGB-bus-CAM_*`) |
+| `viewpoint_perturbation/RGB-*.tar` (+`viewpoint_metadata.json`) | 186 | ~545 GB | VP evaluation captures: 6 cameras × 31 camera-pose variants (yaw/pitch/roll sweeps), 50 scenes; per-variant extrinsics in `viewpoint_metadata.json` |
+
+## Setup
+
+```bash
+mkdir -p carla_geobev carla_VR
+
+# metadata + images  → carla_geobev/
+tar -I zstd -xf metadata/carla_geobev_meta.tar.zst -C carla_geobev
+for t in platform_layouts/*.tar;  do tar -xf "$t" -C carla_geobev; done   # creates carla_geobev/sweeps/RGB-*/
+
+# viewpoint-perturbation captures → carla_VR/
+cp viewpoint_perturbation/viewpoint_metadata.json carla_VR/
+for t in viewpoint_perturbation/*.tar; do tar -xf "$t" -C carla_VR; done          # creates carla_VR/sweeps/RGB-*_yaw*pitch*roll*/
+```
+
+The extracted `carla_geobev/` is what the benchmark configs point to as the data
+root (nuScenes-style layout). All paths inside the DBs and `.pkl`s are relative:
+the DB JSONs and `carla_infos_*.pkl` use `sweeps/RGB-*/...` (relative to
+`carla_geobev/`), while `{sedan,suv,bus}_infos_*.pkl` follow the mmdet3d
+convention `data/nuscenes/sweeps/...` — symlink your extracted `carla_geobev/`
+to `<repo>/data/nuscenes` for those. The pkls also reference
+`sweeps/LIDAR/*.npz` entries; LiDAR files are not part of this release
+(camera-only evaluation never loads them — see "Not included").
+
+### Frame-rate note (important)
+
+`carla_geobev` is a temporally subsampled (1/2-rate) annotation of the capture:
+**`carla_geobev` frame `N` corresponds to `carla_VR` frame `2N`.** The `viewpoint_perturbation`
+shards here contain only the even VR frames — exactly the frames that have
+ground truth — so filenames in `carla_VR` carry frame numbers `2N`.
+
+### Not included
+
+- DPT depth maps and instance-segmentation renders (derived data; regenerable
+  from RGB — see the benchmark code repo).
+- BEV segmentation occupancy labels and raw LiDAR (available on request;
+  `num_lidar_pts` / visibility attributes are already baked into the info pkls).
+
+## Benchmark
+
+Evaluation covers 3D detection (BEVFormer, BEVDet, BEVDepth, DETR3D, PETR/CAPE,
+DFA3D, PD-BEV) and BEV segmentation (CVT, GaussianLSS, LaRa, LSS, PointBEV,
+SimpleBEV) under Normal / VP (Ext-swap, Img-swap, Cal-swap × roll/pitch/yaw) /
+CTS (sedan→suv, sedan→bus) conditions. Code and evaluation harness:
+**TODO: benchmark code repo URL**.
+
+## License & attribution
+
+Released under **CC BY-NC-SA 4.0** (non-commercial, share-alike, attribution).
+
+This dataset was generated by **replaying [SimBEV](https://github.com/goodarzmehr/simbev)
+(ITSC 2026) driving logs in [CARLA](https://carla.org)** and re-rendering all sensors. It
+contains no original SimBEV files; it is a SimBEV derivative released with the
+SimBEV authors' permission under the same CC BY-NC-SA 4.0 terms. If you use
+RoboGeo, please also acknowledge and cite SimBEV and CARLA:
+
+```bibtex
+@article{mehr2025simbev,
+  title   = {SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset},
+  author  = {Mehr, Goodarz and Eskandarian, Azim},
+  journal = {arXiv preprint arXiv:2502.01894},
+  year    = {2025}
+}
+
+@inproceedings{carla,
+  title     = {{CARLA}: An Open Urban Driving Simulator},
+  author    = {Dosovitskiy, Alexey and Ros, German and Codevilla, Felipe and Lopez, Antonio and Koltun, Vladlen},
+  booktitle = {Proceedings of the 1st Annual Conference on Robot Learning (CoRL)},
+  year      = {2017}
+}
+```
+
+## Citation
+
+```bibtex
+% TODO: RoboGeo WACV 2027 bibtex (fill at camera-ready)
+```