openinterx/UGC-VideoCap

UGC-VideoCaptioner Dataset Real-world user-generated videos, especially on platforms like TikTok, often feature rich and intertwined audio-visual content. However, existing video captioning benchmarks and models remain predominantly visual-centric, overlooking the crucial role of audio in conveying scene dynamics, speaker intent, and narrative context. This lack of full-modality datasets and lightweight, capable models hampers progress in fine-grained, multimodal video… See the full description on the dataset page: https://huggingface.co/datasets/openinterx/UGC-VideoCap.

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