# OmniPro Subset (Review Sample)

This is a **lightweight subset** of [OmniPro](https://huggingface.co/datasets/omniproact-bench/OmniPro) for convenient reviewer inspection.

## Contents

- **270 samples** (30 per sub-task × 9 sub-tasks), randomly sampled from the full 2,700-sample benchmark
- **245 source videos** corresponding to the sampled annotations
- `benchmark_subset.json`: all 270 evaluation samples with full annotations

## Task Types

| Task                        | Abbr.         | Samples |
| --------------------------- | ------------- | ------- |
| Instant Event Alert         | Event-Alert   | 30      |
| Semantic Condition Alert    | Cond.-Alert   | 30      |
| Explicit Target Grounding   | Target-Ground | 30      |
| Snapshot Counting           | Snap.-Count   | 30      |
| Cumulative Counting         | Cum.-Count    | 30      |
| Dedup Counting              | Dedup.-Count  | 30      |
| Realtime State Monitor      | State-Monitor | 30      |
| Event Narration             | Event-Narr.   | 30      |
| Sequential Step Instruction | Step-Inst.    | 30      |

## Sampling Method

Random sampling with seed=42, stratified by task type (30 samples per task), preserving the original distribution of audio dependencies and trigger types.

## Relationship to Full Dataset

This subset is intended solely for quick quality inspection. The complete benchmark (2,700 samples, 1,262 videos, 32.6 GB) is available at:

👉 [omniproact-bench/OmniPro](https://huggingface.co/datasets/omniproact-bench/OmniPro)

Evaluation code is available at: **[🔗 OmniPro Evaluation Code](https://anonymous.4open.science/r/OmniPro-5031)**

## File Structure

```
.
├── README.md
├── benchmark_subset.json    # 270 evaluation samples
└── raw_videos/              # 245 source video files
    ├── {video_id_1}.mp4
    ├── {video_id_2}.mp4
    └── ...
```

## License

CC BY-NC 4.0