meow-10k

Dataset Card for Meow-10K 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. Dataset Summary Meow-10K 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… See the full description on the dataset page:

Source: Hugging Face Hub (Duckyle/meow-10k). Metadata imported from the dataset’s Hub tags.