BoJack/MMAR
MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix π arXiv | π¬ MMAR Demo Video | π οΈ GitHub Code | π MMAR Audio Download (HuggingFace) Overview of MMAR We introduce MMAR, a new benchmark designed to evaluate the deep reasoning capabilities of Audio-Language Models (ALMs) across massive multi-disciplinary tasks. MMAR comprises 1,000 meticulously curated audio-question-answer triplets, collected from real-world internetβ¦ See the full description on the dataset page: https://huggingface.co/datasets/BoJack/MMAR.
| Author / organization | BoJack |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 11 |
| Created | 11 May 2025 |
| Last updated at source | 6 June 2025 |
Recent changes
- 16 Oct 2026 Description: MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix π arXiv | π¬ MMAR Demo Video | π οΈ GitHub Code | π MMAR Audio Download (HuggingFace) Overview of MMAR We introduce MMAR, a new benchmark designed to e β MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix π arXiv | π¬ MMAR Demo Video | π οΈ GitHub Code | π MMAR Audio Download (HuggingFace) Overview of MMAR We introduce MMAR, a new benchmark designed to e
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.