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The OMEGA Labs Bittensor Subnet dataset is a multimodal dataset aimed at accelerating artificial general intelligence (AGI) research and development. Provided via the Bittensor decentralized network, it aspires to become the world’s largest multimodal dataset, encompassing a wide range of human knowledge and creation. The dataset includes over 1 million hours of video and more than 30 million two‑minute video clips, covering over 50 scene types and more than 15 000 action phrases. Advanced models are used to map video components into a unified latent space, facilitating the development of powerful AGI models with potential impact across multiple industries.
