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This repository bundles five action-progress training sets whose sources carry different terms: DROID (CC-BY 4.0), Ego4D (Ego4D licence agreement required; no redistribution), HOIGen-1M (its terms), Penn Action and the TCC pouring data (original terms; not for redistribution). Request access only for research use, state your Ego4D licence if you use the Ego4D folder, and respect each source's terms. Access is granted manually.
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Action progress: five video datasets (s31)
Training data of Whose Time Is It? Instance-Specific Action-Progress Control for Video Editing
(LTX-2.5 22B actor-progress LoRA, Gerard Donahue's RIFE-16 method). Each folder is one training set
with its own card (<folder>/README.md) describing the canvas, frames, progress source, masks,
captions and the source's terms. No VAE latents or RIFE videos are included; they are rebuilt from
the source videos with the repository's preprocessing.
Access. This repository bundles five action-progress training sets whose sources carry different terms: DROID (CC-BY 4.0), Ego4D (Ego4D licence agreement required; no redistribution), HOIGen-1M (its terms), Penn Action and the TCC pouring data (original terms; not for redistribution). Request access only for research use, state your Ego4D licence if you use the Ego4D folder, and respect each source's terms. Access is granted manually.
| folder | source | progress | canvas | training clips | hold-outs | size |
|---|---|---|---|---|---|---|
droid/ |
DROID (robot) | ground truth (trajectory phase) | 960x544 | 3,193 | 4 | 16.05 GB |
ego4d/ |
Ego4D (egocentric) | VLM-measured | 896x672 | 16,750 | 4 | 102.86 GB |
hoi-multi/ |
HOIGen-1M (2 to 4 actors) | VLM-measured per actor | 960x544 | 1,479 | 4 | 2.64 GB |
penn-action/ |
Penn Action (sports) | ground truth (phase labels) | 928x512 | 308 | 4 | 0.82 GB |
pouring/ |
TCC pouring | ground truth (subaction labels) | 512x928 | 181 | 4 | 0.14 GB |
Every folder has the same layout: annotations.jsonl (one record per training clip with the
window, natural progress curve, the four cached variants, the LTX-style caption in caption_ltx,
the original task and the SAM 3.1 phrases), holdouts.jsonl (validation clips), masks/part-*.zip
(packed actor and object masks), videos/part-*.zip (native source videos, byte for byte),
configs/, and for Penn Action and pouring selection_report.json.
Download a single folder:
hf download sebastian-stapf/action-progress-video --repo-type dataset --include "droid/*" --local-dir action-progress
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