# BandaiNamcoResearchInc/Bandai-Namco-Research-Motiondataset

This repository provides motion datasets collected by Bandai Namco Research Inc

Repository: https://github.com/BandaiNamcoResearchInc/Bandai-Namco-Research-Motiondataset
Canonical: https://ross.abutalabs.com/products/bandai-namco-research-motiondataset
Language: Python
License Family: other
Last push: 2023-07-04T05:40:13+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1589, "days_push": 1156, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3324, forks 392 (observed 2026-08-28T04:07:56.353900+00:00)

## What it is
Motion capture datasets released by Bandai Namco Research containing BVH-format character motions with diverse contents (daily activities, fighting, dancing) and styles (active, tired, happy). Intended as training data for motion style transfer and AI-based motion editing research.

## Use cases
- train a motion style transfer model
- find motion capture data for character animation research
- visualize BVH motion files in Blender
- get labeled motion data with content and style annotations
- build AI-based motion editing tools for games

## When to choose
- you need real motion-captured training data with style labels for motion synthesis research
- you want BVH files usable with Blender or standard animation pipelines

## When to avoid
- you need a runtime library or tool rather than raw data
- you require a permissive license - the repository has no explicit license
- you need real-time motion capture streaming rather than pre-recorded clips

## Facets
- artifact type: dataset
- maturity: stable
- function: machine-learning, animation, data-science
- domain: machine-learning, graphics, simulation
- platform: python, cross-platform
- tags: motion-capture, bvh, motion-style-transfer, character-animation, training-data, game-development

## Member repositories
- BandaiNamcoResearchInc/Bandai-Namco-Research-Motiondataset (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:56.353900+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:41:48.049086+00:00, confidence not recorded.
  - readme: https://github.com/BandaiNamcoResearchInc/Bandai-Namco-Research-Motiondataset (fetched 2026-08-28T04:07:56.353900+00:00, sha 053c42d001d5)
- Data as of 2026-08-30T08:39:29.467469+00:00.