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@@ -139,7 +139,7 @@ dataset = load_dataset("faridlab/deepaction_v1", trust_remote_code=True)
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  ## Data
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- The data is structured into seven folders, with six folders corresponding to text-to-video AI models and one folder for real videos. Each of these folders has 100 subfolders corresponding to human action classes. All videos in a given subfolder were generated using the same prompt (see the list of prompts <a href=''>here</a>).
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  Included below are example videos generated using the prompt "a person taking a selfie". Note that, since each text-to-video AI model generates videos with different ratios and resolutions, these videos were normalized 512x512.
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  ## Data
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+ The data is structured into seven folders, with six folders corresponding to text-to-video AI models and one folder for real videos. Each of these folders has 100 subfolders corresponding to human action classes. All videos in a given subfolder were generated using the same prompt (see the list of prompts <a href='https://huggingface.co/datasets/faridlab/deepaction_v1/blob/main/captions.csv'>here</a>).
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  Included below are example videos generated using the prompt "a person taking a selfie". Note that, since each text-to-video AI model generates videos with different ratios and resolutions, these videos were normalized 512x512.
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