# W-CODA2024 Track 2 Dataset

## Dataset Description
This dataset contains auxiliary data files for the W-CODA (Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving) Track 2 workshop at ECCV 2024. The files provide metadata about the nuScenes validation set for evaluating video generation and detection/segmentation results.

## Data Files

1. `nuscenes_infos_temporal_val_3keyframes.pkl`
   - Contains information about key frames from 150 scenes in the nuScenes validation set. 
   - Each scene has 3 key frames extracted from the first 16 frames.
   - Used for evaluating object detection and segmentation performance on the key frames.
   - Format: Python pickle file, load with `mmcv.load()`.

2. `nuscenes_infos_temporal_val_12hz.pkl` 
   - Contains metadata for 150 scenes in the nuScenes validation set.
   - Provides the first 16 frames (at 12Hz) for each scene.
   - Paths to real video frames, used to calculate Fréchet Video Distance (FVD) between generated and real videos.
   - Format: Python pickle file, load with `mmcv.load()`.

```python
data = mmcv.load("./data/nuscenes/nuscenes_infos_temporal_val_3keyframes.pkl")
print(data.keys())
# dict_keys(['infos', 'metadata'])
```
## Dataset Structure
The loaded pickle files contain a list of dictionaries, one per frame, with 'scene_token', 'frame_idx', 'gt_boxes', 'gt_names', 'cams', etc. Their meanings are consistent with the original nus annotations.

## Download
Download the files from Hugging Face:
- [nuscenes_infos_temporal_val_3keyframes.pkl](https://huggingface.co/datasets/pengxiang/W-CODA2024-Track2) 
- [nuscenes_infos_temporal_val_12hz.pkl](https://huggingface.co/datasets/pengxiang/W-CODA2024-Track2)