LLAVA-Video-178K: A High-Quality Synthetic Dataset for Video Instruction Tuning

Today, Hugging Face released LLAVA-Video-178K, a high-quality synthetic dataset for video instruction tuning. This dataset is a major upgrade from the previous version, LLaVA-NeXT-Video, and includes 178,510 caption entries and 900,792 open-ended Q&A pairs.

This dataset is a valuable resource for researchers and developers working on video instruction tuning. It can be used to train models that can generate captions for videos, answer questions about videos, and even generate new videos based on instructions.

LLAVA-Video-178K is available for download from the Hugging Face Hub. You can also find more information about the dataset on the Hugging Face blog.

We are excited to see what researchers and developers will be able to do with this new dataset. We believe that it will help to advance the field of video instruction tuning and make it possible to create even more sophisticated and useful video applications.