Large Human Motion
animacy-human-motion-large
squaredcuber/animacy-human-motion-large
Canonical human conversational motion (animacy.human.v1, 30 Hz) captured at scale with
animacy — the open interaction layer for expressive robots.
Every clip is a directory clips/<shard>/<name>/ holding
motion.parquet — 28 channels: head 6-DoF, gaze, brows, eyes, mouth, torso, a puppet arm chain,
speaking / validity flags (schema: docs/CANONICAL.md in the repo);
audio.opus — the clip's audio, mono, Opus 32 kb/s from the 16 kHz capture… See the full description on the dataset page: https://huggingface.co/datasets/squaredcuber/animacy-human-motion-large.text-2-video-human-preferences-motion-v2-large
Human Preferences for AI-Generated Video: Motion Quality v2 (large)
115,732 pairwise human preference labels comparing 4 frontier video generation models on human motion across 3 quality dimensions, collected from real annotators via Datapoint AI.
This is an expanded version of the motion quality dataset with 417 unique prompts (up from 60) and 11 motion categories (up from 6).
Why This Dataset
Video generation models are improving fast, but evaluating human motion… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/text-2-video-human-preferences-motion-v2-large.