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YAML Metadata Warning: The task_categories "video-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Drag-to-Live Dataset ☁️

This dataset contains processed time-lapse videos of clouds and their motion trajectories extracted using CoTracker. It is designed for training Latent Trajectory Guidance models (like Wan-Move adaptation) on Edge Devices.

Dataset Structure

  • videos/: Resized (256x256) and clipped video segments (8-16 frames).
  • tracks/: .npz files containing dense point trajectories extracted by CoTracker.
  • index.jsonl: Metadata linking videos to their corresponding track files.

Source

  • Original Videos: Sourced from Pexels (Free to use license).
  • Processing: Resized, clipped, and annotated with motion tracks using CoTracker.

Usage

This dataset is used for the God's Finger (Drag-to-Live) project to train a LoRA adapter for motion control.

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