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| pretty_name: CARLA Paired Collision Benchmark — Official 880 Recordings | |
| language: | |
| - en | |
| tags: | |
| - carla | |
| - event-camera | |
| - collision-prediction | |
| - paired-data | |
| size_categories: | |
| - n<1K | |
| configs: | |
| - config_name: official | |
| default: true | |
| data_files: | |
| - split: train | |
| path: viewer/train.parquet | |
| - split: validation | |
| path: viewer/val.parquet | |
| - split: test | |
| path: viewer/test.parquet | |
| # Paired Event-Camera Collision Benchmark | |
| The official experiment cohort contains **880 recordings / 440 matched pairs**. | |
| Each pair contains one collision and one near miss, kept in the same split. | |
| The supplied split manifests define the fixed evaluation cohort. | |
| | Scenario | Train videos | Val videos | Test videos | Total | | |
| |---|---:|---:|---:|---:| | |
| | Head-on | 66 | 26 | 26 | 118 | | |
| | Close turning | 86 | 24 | 30 | 140 | | |
| | Following/braking | 52 | 42 | 44 | 138 | | |
| | Pedestrian walking past | 66 | 32 | 32 | 130 | | |
| | Pedestrian walking then stopping | 8 | 12 | 12 | 32 | | |
| | Unoccluded pedestrian running | 28 | 8 | 6 | 42 | | |
| | Stationary car, plain background | 50 | 24 | 26 | 100 | | |
| | Stationary car, parked background cars | 36 | 22 | 22 | 80 | | |
| | Stationary pedestrian | 48 | 30 | 22 | 100 | | |
| | **Total** | **440** | **220** | **220** | **880** | | |
| ## Structure | |
| ```text | |
| metadata.jsonl # Complete catalog, one row per recording. | |
| splits/{train,val,test}.jsonl # Same rows, separated by split. | |
| release_membership.json # IDs used in the original experiments. | |
| data/{train,val,test}/PAIR_ID/ | |
| pair_config.json # Native generation and crop settings. | |
| collision/ # near_miss/ has the same structure. | |
| metadata.json # Portable metadata and asset checksums. | |
| events.npy # Detector input; unchanged source bytes. | |
| capture_metadata.json # Native capture details and trajectories. | |
| source_metadata.json # Original metadata, preserved verbatim. | |
| trajectory.json # Aligned 400 ego/target poses. | |
| review.mp4 # Human preview, not a detector input. | |
| ``` | |
| Some stationary-pedestrian previews show both arms in one pair-level `review.mp4`; | |
| use `assets.review_video.path` and `preview_shared_between_arms` in the catalog. | |
| Metadata uses `split: "validation"` for the `val/` folder. Other fields include | |
| scenario, target type, `static`, `dense_traffic`, town/roads, speeds and background. | |
| Unknown values remain `null`. [FORMAT.md](FORMAT.md) explains clocks and encoding. | |
| The dataset viewer reads `viewer/{train,val,test}.parquet`, which contains | |
| the same 880 catalog rows with a shared column schema. The original JSON | |
| catalogs and all recording files remain unchanged. Additional null fields | |
| in the viewer only represent metadata absent from a particular source. | |
| ## Download and verify | |
| Open the [anonymous review repository](https://anonymous-hf.com/a/0feb3cbm2voj/). | |
| Reviewers can browse and download files without an account or access token. | |
| Use the file browser for individual files or **Download All** for the complete | |
| release. Extract the download into a folder of your choice, then verify it: | |
| ```bash | |
| python -m pip install 'numpy>=1.26,<3' | |
| cd /path/to/paired-data | |
| python verify_release.py --deep-events | |
| ``` | |
| Replace `/path/to/paired-data` with the extracted folder containing | |
| `verify_release.py`. Full verification requires the complete release and checks | |
| for missing or corrupted files. A partial download cannot pass this check. | |
| MP4 files are inspection previews and are not detector inputs. | |
| ## Scope | |
| The split is frozen at **50/25/25**, with 20 explicit background-OOD pairs confined | |
| to validation/test. Two generation pipelines contribute 600 and 280 recordings. | |
| Selection retained all moving-target pairs and reduced only | |
| the stationary subsets. Earlier excluded recordings, occluded-runner trials, | |
| original CARLA corpus data and paper-only illustrations are not this cohort. | |
| Capture audits and source qualifications are preserved. In particular, the | |
| stationary-pedestrian source still says `manual_review: pending` and | |
| `scientific_admission: false`; packaging does not upgrade that status. Integrity | |
| checks establish matching files, labels and timing, not freedom from dataset bias. | |
| Raw event streams and duplicate dense-frame caches are omitted. A dataset license | |
| has not yet been specified. | |
| Keep both outcomes of each pair in the supplied split. Preserve the catalog, | |
| capture metadata and checksums when copying the data; do not rebuild the catalog | |
| from a partial download. | |