CARLA_sim_data / README.md
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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.