Upload folder using huggingface_hub

BABEL_streamed.zip

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HumanML3D.zip

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README.md

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+---
+license: apache-2.0
+library_name: generic
+tags:
+- motion-generation
+- diffusion
+- 3d
+- humanml3d
+- babel
+---
+
+# FloodDiffusion Downloads
+
+This repository contains the datasets, dependencies, and pretrained models for **FloodDiffusion: Tailored Diffusion Forcing for Streaming Motion Generation**.
+
+Code repository: [GitHub](https://github.com/Shanda-AI/FloodDiffusion)
+
+## Repository Structure
+
+The files in this repository are organized to match the directory structure required by FloodDiffusion.
+
+### 1. Model Checkpoints (`outputs.zip`)
+The `outputs.zip` archive contains the pretrained model weights.
+
+*   **Target**: Unzip into your project root. It should create an `outputs/` folder.
+
+```
+outputs/
+├── vae_1d_z4_step=300000.ckpt          # VAE model (1D, z_dim=4)
+├── 20251106_063218_ldf/
+│   └── step_step=50000.ckpt            # LDF model checkpoint (HumanML3D)
+└── 20251107_021814_ldf_stream/
+    └── step_step=240000.ckpt           # Streaming LDF model checkpoint (BABEL)
+```
+
+### 2. Datasets
+Due to the large number of files, datasets are provided as ZIP archives.
+
+*   **`HumanML3D.zip`**: Contains the HumanML3D dataset (extracted features and texts).
+    *   **Target**: Unzip into `raw_data/`. It should create `raw_data/HumanML3D/` containing `new_joint_vecs`, `texts`, etc.
+*   **`BABEL_streamed.zip`**: Contains the BABEL dataset processed for streaming generation.
+    *   **Target**: Unzip into `raw_data/`. It should create `raw_data/BABEL_streamed/`.
+
+### 3. Dependencies (`deps.zip`)
+*   **`deps.zip`**: Contains necessary dependencies like the T5 text encoder, evaluation models (T2M), and GloVe embeddings.
+    *   **Target**: Unzip into your project root. It should create a `deps/` folder.
+
+```
+deps/
+├── t2m/                     # Text-to-Motion evaluation models
+├── glove/                   # GloVe word embeddings
+└── t5_umt5-xxl-enc-bf16/    # T5 text encoder
+```
+
+## How to Download & Setup
+
+We recommend using the python script below to automatically download and place files in the correct structure.
+
+### Python Script (Recommended)
+
+Save this as `download_assets.py` in your `FloodDiffusion` project root:
+
+```python
+from huggingface_hub import hf_hub_download
+import zipfile
+import os
+
+REPO_ID = "ShandaAI/FloodDiffusionDownloads"
+
+def download_extract_zip(filename, target_dir="."):
+    print(f"Downloading {filename}...")
+    path = hf_hub_download(repo_id=REPO_ID, filename=filename, repo_type="model")
+    print(f"Extracting {filename} to {target_dir}...")
+    with zipfile.ZipFile(path, 'r') as zip_ref:
+        zip_ref.extractall(target_dir)
+
+# 1. Download and extract Dependencies (creates ./deps/)
+download_extract_zip("deps.zip", ".")
+
+# 2. Download and extract Datasets (creates ./raw_data/HumanML3D and ./raw_data/BABEL_streamed)
+os.makedirs("raw_data", exist_ok=True)
+download_extract_zip("HumanML3D.zip", "raw_data")
+download_extract_zip("BABEL_streamed.zip", "raw_data")
+
+# 3. Download Models (creates ./outputs/)
+download_extract_zip("outputs.zip", ".")
+
+print("Done! Your project is ready.")
+```
+
+## Data License & Acknowledgements
+
+This repository provides pre-processed motion features (263-dim) to facilitate the reproduction of FloodDiffusion.
+
+- **HumanML3D**: The motion features are derived from the [HumanML3D](https://github.com/EricGuo5513/HumanML3D) pipeline, originally built upon [AMASS](https://amass.is.tue.mpg.de/) and [HumanAct12](https://github.com/guhemian/HumanAct12).
+- **BABEL**: The streaming motion features are derived from the [BABEL](https://babel.is.tue.mpg.de/) dataset, which also builds upon AMASS.
+
+**Important Note**: 
+We only distribute the **extracted motion features and text annotations**, which is standard practice in the research community. We do **not** distribute the raw AMASS data (SMPL parameters/meshes). If you require the raw motion data or plan to use it for commercial purposes, you must register and agree to the licenses on the [AMASS website](https://amass.is.tue.mpg.de/).

deps.zip

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outputs.zip

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