README.md

---
license: apache-2.0
language:
- zh
- en
task_categories:
- text-to-video
- text-to-speech
tags:
- talking-head
- audio-video-generation
- speech
- video
---

# Talker-T2AV-Data

**Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling**

[Paper (arXiv 2604.23586)](https://arxiv.org/abs/2604.23586) ·
[Code (GitHub)](https://github.com/zhenye234/Talker-T2AV) ·
[Model](https://huggingface.co/HKUSTAudio/Talker-T2AV) ·
[Samples](https://talker-t2av.github.io/)

Clean training data package for Talker-T2AV. Paths in `metadata/train.csv` are relative to the dataset root after extracting the shard archives.

## Contents

- `metadata/train.csv`: training index used by Talker-T2AV.
- `shards/*.tar`: clean archive shards grouped by modality and dataset source.
- `audio/`, `motion/`, `video/`: directories created after extracting shards.

`train.csv` columns:

- `sample_id`
- `dataset_source`
- `split`
- `text`
- `wav_path`
- `motion_pt_path`
- `video_path`
- `pt_length`
- `fps`

## Download and Extract

```bash
hf download HKUSTAudio/Talker-T2AV-Data --repo-type dataset --local-dir ./Talker-T2AV-Data
cd ./Talker-T2AV-Data
for f in shards/*.tar; do tar -xf "$f"; done
```

## Use With Talker-T2AV Training

```bash
export TRAIN_CSV=$(pwd)/metadata/train.csv
export DATA_ROOT=$(pwd)
```

`Talker-T2AV/training/dataset.py` resolves `wav_path`, `motion_pt_path`, and `video_path` relative to `DATA_ROOT`.

## Citation

```bibtex
@misc{ye2026talkert2avjointtalkingaudiovideo,
      title={Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling}, 
      author={Zhen Ye and Xu Tan and Aoxiong Yin and Hongzhan Lin and Guangyan Zhang and Peiwen Sun and Yiming Li and Chi-Min Chan and Wei Ye and Shikun Zhang and Wei Xue},
      year={2026},
      eprint={2604.23586},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2604.23586}, 
}
```