zihan-audio/AEGBench
AEGBench — Audio Event Grounding Benchmark A large-scale, difficulty-stratified benchmark for temporal grounding of sound events in audio, introduced in the paper Auto-AEG: Scalable Data Construction for Open-Vocabulary Audio Event Grounding. Given an audio clip and a natural-language query (e.g. "growling"), a model must output the [onset, offset] time intervals in which the queried event occurs, or return [] (empty) when the event is absent. AEGBench evaluates two… See the full description on the dataset page: https://huggingface.co/datasets/zihan-audio/AEGBench.
| Author / organization | zihan-audio |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 225 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 18 July 2026 |
| Last updated at source | 19 August 2026 |
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