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| pretty_name: FloodDiffusion 2 Prepared Motion Data | |
| language: | |
| - en | |
| tags: | |
| - motion-generation | |
| - text-to-motion | |
| - humanml3d | |
| - babel | |
| - seed | |
| # FloodDiffusion 2 Prepared Motion Data | |
| Prepared representations, captions, and dataset splits used by the | |
| [FloodDiffusion 2 code](https://github.com/AlayaLab/FloodDiffusion2). | |
| [Model weights](https://huggingface.co/AlayaLab/FloodDiffusion2) are distributed separately. | |
| | Archive | Representation | Motion sequences | Extraction directory | | |
| |---|---|---:|---| | |
| | `HumanML3D-263.zip` | HumanML3D, 263D | 29,228 | `data/HumanML3D/HumanML3D263/` | | |
| | `BABEL-263.zip` | BABEL, 263D | 5,341 | `data/BABEL/HumanML3D263/` | | |
| | `SEED-138.zip` | SEED, 138D | 142,220 | `data/SEED/MEI138/` | | |
| All archives are created with `zip -0` (stored without compression). Extract them | |
| from the code repository's root directory, or install everything with: | |
| ```bash | |
| python setup_project.py --with-data | |
| ``` | |
| The setup command verifies SHA-256 checksums and extracts each archive to its | |
| configured location. Use `python setup_project.py --check --with-data` to verify | |
| the installed files. `data_manifest.json` pins the archive revision and checksums; | |
| each dataset includes a `release_manifest.json` with per-file checksums. | |
| ```text | |
| data/ | |
| ├── HumanML3D/HumanML3D263/ | |
| │ ├── new_joint_vecs/ | |
| │ ├── texts/ | |
| │ ├── TOKENS_20260113_233726_vae_wan_z4_2250000/ | |
| │ ├── Mean.npy, Std.npy | |
| │ └── split and token-statistics files | |
| ├── BABEL/HumanML3D263/ | |
| │ ├── new_joint_vecs/ | |
| │ ├── texts/ | |
| │ ├── TOKENS_20260113_233726_vae_wan_z4_2250000/ | |
| │ ├── Mean.npy, Std.npy | |
| │ └── split and token-statistics files | |
| └── SEED/MEI138/ | |
| ├── new_joint_vecs_uni/ | |
| ├── texts/ | |
| ├── Mean_uni.npy, Std_uni.npy | |
| └── split files | |
| ``` | |
| The HumanML3D and BABEL archives include tokens from the released 2,250,000-step | |
| VAE for LDF training. Caption lines preserve the `caption#tokens#start#end` format; | |
| BABEL frame-level annotations are placed alongside the 263D motion features in | |
| `texts/`. Original split memberships are retained. HumanML3D's two original | |
| non-finite test sequences, `007975` and `M007975`, are retained in the archive and | |
| skipped by the data loader. | |
| Source datasets and their annotations retain their original terms. Cite the | |
| corresponding source datasets as well as FloodDiffusion 2 when using these files. | |