--- license: other license_name: mixed-cc-by-and-public-domain license_link: https://creativecommons.org/licenses/by/4.0/ task_categories: [other] tags: [robotics, motion, expressive-robots, animacy, reachy-mini, autonomous-lamp, vla, talking-head, speech] pretty_name: animacy human motion (large harvest) size_categories: [n<1K] --- # squaredcuber/animacy-human-motion-large Canonical human conversational motion (`animacy.human.v1`, 30 Hz) captured at scale with [animacy](https://github.com/Hcoder10/animacy) — the open interaction layer for expressive robots. Every clip is a directory `clips///` 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 track, on the same clock as `motion.t` (`ffmpeg -i audio.opus -ar 16000 -ac 1 audio.wav` restores the 16 kHz wav that `animacy.schema.HumanClip.load` reads); * `meta.json` — source url, **license and the machine-readable license evidence**, capture settings, neutral pose, validity stats, and a `harvest` block (source family, channel, speaker key, language guess, chunk offset, prescreen result). `index.json` is one row per clip (all shards). `manifests/.json` is the same for one commit. **26 clips, 2.9 hours (2.7 face-valid hours), 2 speaker keys, 2 languages.** ## License policy (enforced in code, not remembered per file) Only material whose *machine-readable* license metadata says public domain / CC0 / CC-BY is captured; anything ND, NC, SA, or with missing license metadata is refused (`scripts/fetch_sources.py::classify_license`, applied by `scripts/harvest/fetch.py`). Evidence per source: | source | evidence recorded in `meta.json.license_evidence` | |---|---| | YouTube (CC search) | info-json `license` == "Creative Commons Attribution license (reuse allowed)" (CC-BY 3.0), channel id, upload date | | U.S. Government channels | allowlisted official agency channel + channel id match; basis 17 U.S.C. § 105 (works of the U.S. Government). VOA clips carry a caveat about third-party newswire material | | Wikimedia Commons | `videoinfo.extmetadata` LicenseShortName / License / LicenseUrl / Copyrighted=False | | archive.org | item metadata `licenseurl` / `rights` | Attribution: every clip's `meta.json` has `source_url`, `artist`/channel, and the license label; CC-BY clips must be credited to that channel/author when redistributed. This dataset is a derived work (motion parameters + downsampled audio), not the source video. ## Quality gate Chunks of <= 600 s; prescreen (>= 60% of 16 sampled frames show exactly one face); kept if `face_valid >= 60%` and `face_valid * duration >= 60 s`. No channel contributes more than 5% of the kept seconds (fetch-time cap). Speaker keys over-merge (a channel = one speaker), so a per-speaker cap at training time is conservative. ## Counts | source | hours | |---|---| | usgov | 2.9 | | license | hours | |---|---| | Public Domain | 2.9 | | language (guess) | hours | |---|---| | en | 2.5 | | en-US | 0.5 | | series | hours | |---|---| | briefing | 1.9 | | usgov_other | 0.7 | | address | 0.3 | ## Provenance and reproducibility Harvested by `scripts/harvest/` (crawl -> fetch -> workers -> push) on a CPU-only workstation; the `harvest` block in each `meta.json` names the worker and chunk. Full pipeline description: `docs/HARVEST.md`. Nothing here was captured from a source whose license metadata was missing.