LongAudioBench.

LongAudioBench was proposed in the Audio Flamingo 2 paper. It is based on LongAudio, which consists of over 80K unique audios and approximately 263K AQA pairs, where audios are from open long-video datasets. LongAudio supports six different tasks including: Captioning, Plot QA, Temporal QA, Needle QA, Subscene QA, and General QA. LongAudioBench has 2429 expert human-annotated instances across these tasks.

Best published scores.

No results indexed yet — be the first to submit a score.

Neighbouring benchmarks.

Other Audio-Language Models datasets on Codesota.

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

• 01A public checkpoint or API endpoint
• 02A reproduction script with frozen commit + seed
• 03Declared evaluation environment (Python, deps)
• 04One row per metric declared by this dataset
• 05A contact so we can follow up on discrepancies