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egocs-400k/dataset
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I want to fine-tune a video understanding model on EgoCS-400K. How do I download it from Hugging Face and write a data loader for per-tick action labels?
Show me how to use EgoCS-400K's annotation format to train a model that predicts the next player action from first-person video and game state.
How does the EgoCS-400K protected action chain concept work, and how do I use it to avoid splitting meaningful sequences during clip sampling?
I want to evaluate a world model on EgoCS-400K's segment data. What metrics should I use and how are DP segment boundaries stored in the JSON files?
Help me visualize per-tick telemetry from an EgoCS-400K sample alongside the video, matching keyboard inputs to specific video frames.
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