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FLAME_coeffs_25.tar

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LICENSE

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+WebTalk-Synthetic is licensed under the Creative Commons
+Attribution-NonCommercial 4.0 International License (CC-BY-NC-4.0).
+
+You are free to share and adapt the material for NON-COMMERCIAL purposes,
+provided you give appropriate credit (cite the ViBES paper, see README.md).
+
+Full license text: https://creativecommons.org/licenses/by-nc/4.0/legalcode
+
+The audio is segmented from public talking-head videos and is provided for
+non-commercial research only. Do not use it for commercial purposes and do not
+attempt to re-identify speakers.

README.md

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+---
+pretty_name: WebTalk-Synthetic
+license: cc-by-nc-4.0
+language:
+- en
+task_categories:
+- audio-to-audio
+- other
+tags:
+- co-speech
+- facial-animation
+- talking-face
+- FLAME
+- synthetic
+- 3d-motion
+size_categories:
+- 10K<n<100K
+---
+
+# WebTalk-Synthetic
+
+**WebTalk-Synthetic** is a dataset of **synthetic in-the-wild co-speech facial
+motion**: ~12.7 k short clips, each pairing conversational speech with a
+*generated* 3D facial-motion track in [FLAME](https://flame.is.tue.mpg.de/)
+coefficient space. The facial motion is produced by an audio-driven face model
+from filtered in-the-wild talking audio — it is synthesized, not
+motion-captured. The dataset was created for and used by
+[ViBES](https://github.com/Juzezhang/ViBES) (CVPR 2026) to give the face expert
+broad in-the-wild coverage.
+
+> ⚠️ **Research use only.** The audio is segmented from public talking-head
+> videos. This dataset is released under **CC-BY-NC-4.0 for non-commercial
+> research only**. Do not use it for commercial purposes.
+
+## Download
+
+```bash
+huggingface-cli download JuzeZhang/WebTalk-Synthetic \
+    --repo-type dataset --local-dir WebTalk-Synthetic
+```
+
+Each modality is shipped as a single `.tar` (far faster to upload/sync than ~50k
+loose files). Extract them in place after download:
+
+```bash
+cd WebTalk-Synthetic
+for f in audios audios_token_glm FLAME_coeffs_25 transcripts; do tar -xf "$f.tar"; done
+# optionally: rm *.tar
+```
+
+## Dataset structure
+
+In the repo (as shipped):
+
+```
+WebTalk-Synthetic/
+├── audios.tar            → audios/            (16 kHz mono WAV, one per clip)
+├── audios_token_glm.tar  → audios_token_glm/  (GLM-4-Voice audio tokens, one .npy per clip)
+├── FLAME_coeffs_25.tar    → FLAME_coeffs_25/   (synthetic FLAME face motion, one .npz, 25 fps)
+├── transcripts.tar        → transcripts/       (one .txt per clip)
+├── train.txt              (12,075 clip stems)
+├── val.txt                (290 clip stems)
+├── test.txt               (304 clip stems)
+├── README.md
+└── LICENSE
+```
+
+`audios_token_glm/<stem>.npy` is a `(N,) int64` array of
+[GLM-4-Voice](https://github.com/THUDM/GLM-4-Voice) discrete audio tokens,
+provided so you can skip re-running audio tokenization.
+
+Every modality is keyed by a clip stem of the form `<session>_<segment>`
+(e.g. `202008647_0001`); `audios/<stem>.wav`, `FLAME_coeffs_25/<stem>.npz`, and
+`transcripts/<stem>.txt` all refer to the same clip.
+
+- **12,669 clips total** (12,075 train / 290 val / 304 test).
+
+### FLAME motion format (`FLAME_coeffs_25/<stem>.npz`)
+
+| Key | Shape | dtype | Description |
+|---|---|---|---|
+| `exp` | `(T, 100)` | float32 | FLAME expression coefficients |
+| `shape` | `(T, 100)` | float64 | FLAME shape coefficients |
+| `pose` | `(T, 6)` | float32 | head pose (3) + jaw pose (3), axis-angle |
+| `mocap_frame_rate` | scalar | int64 | 25 |
+
+`T` is the per-clip frame count at 25 fps.
+
+### Audio
+
+16 kHz mono PCM WAV, ~8 s per clip.
+
+## Usage
+
+Load a clip directly:
+
+```python
+import numpy as np, soundfile as sf
+
+stem = "202008647_0001"
+audio, sr = sf.read(f"audios/{stem}.wav")          # 16 kHz mono
+coef = np.load(f"FLAME_coeffs_25/{stem}.npz")      # exp / shape / pose
+text = open(f"transcripts/{stem}.txt").read()
+```
+
+The full ViBES preprocessing recipe (audio tokenization, face VQ-VAE
+tokenization, and building the training-ready HuggingFace dataset) is documented
+in [`docs/1-data/webtalk_synthetic.md`](https://github.com/Juzezhang/ViBES/blob/main/docs/1-data/webtalk_synthetic.md).
+
+## Intended use & limitations
+
+- Intended for **non-commercial research** on co-speech facial animation,
+  audio-driven face generation, and conversational virtual humans.
+- The facial motion is **model-generated**, not ground-truth capture; it reflects
+  the biases and failure modes of the audio-driven face model that produced it.
+- Audio originates from public talking-head videos; treat it accordingly and do
+  not attempt to re-identify speakers.
+
+## License
+
+[CC-BY-NC-4.0](https://creativecommons.org/licenses/by-nc/4.0/) — non-commercial
+research use only.
+
+## Citation
+
+```bibtex
+@inproceedings{zhang2026vibes,
+  title={ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body},
+  author={Juze Zhang and Changan Chen and Xin Chen and Heng Yu and Tiange Xiang and Ali Sartaz Khan and Shrinidhi Kowshika Lakshmikanth and Ehsan Adeli},
+  booktitle={CVPR},
+  year={2026},
+}
+```

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