--- 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.