BlueSourceJY/shotpilot-stage1-data

ShotPilot Stage 1 Training Cache

Precomputed training inputs for the ShotPilot Stage 1 causal multi-shot generator, built from the ShotPlan training set: 6,404 clips, each 80 frames (5 s at 16 fps) with one to three hard cuts. Videos were encoded at 480x832 with the Wan2.1-T2V-1.3B VAE and prompts with its UMT5-XXL text encoder. No raw video is included.

Contents

Folder	What it holds	Files	Size
stage1_features_v0/	Per-clip, per-shot VAE video latents	6,414	26.7 GB
stage1_memory_rgb6/	Per-shot RGB memory: frames from earlier shots, VAE-encoded one at a time	6,430	24.8 GB
stage1_text_enriched_v2/	UMT5-XXL encodings of the enriched global prompts	6,409	12.0 GB

Each folder has an index.jsonl (one line per clip, keyed by metadata_row) and a manifest.json. Artifact paths in the index files are relative to the index file. Absolute paths inside manifests and artifacts record where the cache was originally built and are not used for loading.

All tensors are torch.bfloat16 .pt files (load with torch.load(path, weights_only=True)):

• features rows/row_XXXXXX.pt: global_prompt, source_relative_path, and shots, a list of {sample_id, shot_index_in_window, first_chunk_action, latent_frames, latent} with latent shaped (16, T, 60, 104). Each shot was cropped to 4n+1 RGB frames before encoding.
• memory shards/worker-XX/rows/row_XXXXXX.pt: memory_by_shot, one entry per shot with latent (16, K, 60, 104), shot_ids and rgb_indices (K is at most 6; the first shot has none).
• text rows/row_XXXXXX.pt: prompt and context (tokens, 4096) (83–474 tokens). empty_context.pt is the empty-prompt encoding used for text dropout and classifier-free guidance.

Usage

hf download BlueSourceJY/shotpilot-stage1-data --repo-type dataset --local-dir data

This recreates data/stage1_features_v0, data/stage1_memory_rgb6 and data/stage1_text_enriched_v2. The ShotPilot loader checks SHA-256 digests of the index files and text rows, so keep the files byte-identical. Train/validation/test splits are computed at load time from source_relative_path and a fixed seed.

License and provenance

These caches are derived from ShotPlan, which is derived from VidEvent (Liang et al., 2025). They inherit those terms: non-commercial research use only. If you use them, cite ShotPlan and VidEvent and comply with VidEvent's usage terms.

@article{liang2025videvent,
  title={VidEvent: A Large Dataset for Understanding Dynamic Evolution of Events in Videos},
  author={Liang, Baoyu and Su, Qile and Zhu, Shoutai and Liang, Yuchen and Tong, Chao},
  journal={arXiv preprint arXiv:2506.02448},
  year={2025}
}

ShotPlan: https://github.com/Pensioner-11/ShotPlan