# EricGuo5513/HumanML3D

HumanML3D: A large and diverse 3d human motion-language dataset.

Repository: https://github.com/EricGuo5513/HumanML3D
Canonical: https://ross.abutalabs.com/products/humanml3d
Homepage: https://ericguo5513.github.io/text-to-motion/
Language: Python
License: MIT
License Family: permissive
Topics: dataset, deep-learning, motion-generation, text-annotation
Last push: 2024-08-18T00:18:36+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1649, "days_push": 746, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1522, forks 143 (observed 2026-08-28T04:04:57.997533+00:00)

## What it is
HumanML3D is a large 3D human motion-language dataset with 14,616 motion clips and 44,970 text descriptions, built from HumanAct12 and AMASS. It includes processing scripts, data augmentation via mirroring, and the related KIT-ML dataset.

## Use cases
- train text-to-motion generation models
- research on 3d human motion synthesis from text
- benchmark motion-language models
- get annotated motion capture data for deep learning
- build text-conditioned animation systems

## When to choose
- you need a large annotated 3D human motion dataset for motion generation research
- you want a standard benchmark for text-to-motion tasks
- you need text descriptions paired with motion clips

## When to avoid
- you need raw AMASS data distributed directly (licensing requires regeneration via scripts)
- your project is unrelated to human motion or multimodal learning

## Facets
- artifact type: dataset
- maturity: stable
- function: machine-learning, deep-learning, data-generation
- domain: machine-learning, computer-vision
- platform: python, cross-platform
- tags: motion-capture, text-to-motion, human-motion, multimodal, motion-generation, natural-language-processing, datasets

## Member repositories
- EricGuo5513/HumanML3D (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:57.997533+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 2026-08-30T04:31:45.892774+00:00, confidence not recorded.
  - readme: https://github.com/EricGuo5513/HumanML3D (fetched 2026-08-28T04:04:57.997533+00:00, sha dccdea0de6bf)
  - homepage: https://ericguo5513.github.io/text-to-motion/ (fetched 2026-08-29T11:34:37.670957+00:00, sha 4447d467308f)
- Data as of 2026-08-30T08:39:29.467469+00:00.