Dramazy/meow-10k

Meow-10K是一个高保真、同步的四模态数据集，包含10,000个猫科动物样本。它是Meow-Omni 1的主要训练语料库，旨在促进计算行为学中的深度意图推理。该数据集首次为多模态大语言模型提供了大规模训练基础，以学习外部行为与内部生理状态之间的因果关系。通过整合高频生物时间序列数据和传统的视听流，数据集允许模型解决语义混叠问题，即相同的物理动作可能掩盖不同的内部意图。数据集结构包括视频（捕捉猫的物理表现）、音频（高质量叫声录音）、生物时间序列数据（同步高频生物特征数据）和文本标签（通过NBP方法衍生的自然语言描述和意图标签）。

Meow-10K is a high-fidelity, synchronized quad-modal dataset comprising 10,000 feline samples. It is the primary training corpus for Meow-Omni 1, designed to facilitate deep intention reasoning in computational ethology. The dataset provides the first large-scale training foundation for Multimodal Large Language Models (MLLMs) to learn the causal relationships between external behaviours and internal physiological states. By integrating high-frequency biological time-series data with traditional audio-visual streams, the dataset allows models to resolve semantic aliasing—where identical physical actions mask different internal intents.