OmniPro Subset (Review Sample)
This is a lightweight subset of 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:
Evaluation code is available at: 🔗 OmniPro Evaluation Code
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