orrzohar/EMID-Emotion-Matching
EMID-Emotion-Matching orrzohar/EMID-Emotion-Matching is a derived dataset built on top of the Emotionally paired Music and Image Dataset (EMID) from ECNU (ecnu-aigc/EMID). It is designed for music ↔ image emotion matching with Qwen-Omni–style models. Each example contains: audio: mono waveform stored as datasets.Audio (HF Hub preview can play it) sampling_rate: sampling rate used when decoding (typically 16 kHz) image: a single image (datasets.Image) same: bool, whether the… See the full description on the dataset page: https://huggingface.co/datasets/orrzohar/EMID-Emotion-Matching.
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