# xid32/SoundMind

<https://repo.masters-masters.com/en/repos/xid32/SoundMind>

[Home](https://repo.masters-masters.com/en) › [xid32](https://repo.masters-masters.com/en/owners/xid32) › [SoundMind](https://repo.masters-masters.com/en/repos/xid32/SoundMind)

xid32/SoundMind has 1,116 stars on GitHub. Its RepoMasters card: Beta tier. We introduce the Audio Logical Reasoning (ALR) dataset, consisting of 6,446…

| Field | Value |
| --- | --- |
| Owner | [xid32](https://repo.masters-masters.com/en/owners/xid32) |
| Stars | 1,116 |
| Forks | 131 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Topics | audio-language-model, audio-reasoning, dataset, reinforcement-learning |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [xid32/SoundMind](https://github.com/xid32/SoundMind) |

## Repository

We introduce the Audio Logical Reasoning (ALR) dataset, consisting of 6,446 text-audio annotated samples specifically designed for complex reasoning tasks. Building on this resource, we propose SoundMind, a rule-based reinforcement learning (RL) algorithm tailored to endow audio language models (AL…

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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