---
title: InstructS2S-200K
canonical_url: "https://www.modelscope.cn/datasets/ICTNLP/InstructS2S-200K"
md_url: "https://www.modelscope.cn/datasets/ICTNLP/InstructS2S-200K.md"
repository: ICTNLP/InstructS2S-200K
last_updated: 2025-12-01
license: "Apache License 2.0"
storage_size: "321 GB"
downloads: 4790
stars: 0
---

# InstructS2S-200K

> InstructS2S-200K - ICTNLP 在 ModelScope 开源的数据集。InstructS2S-200K is a multi-turn speech-to-speech conversation dataset containing approximately 200,000 dialogues, developed for the LLaMA-Omni and LLaMA-Omni 2 research projects on real-time spoken chatbots.

ICTNLP/InstructS2S-200K 是 ModelScope 魔搭社区上的数据集，存储大小 321 GB，采用 Apache License 2.0 许可。

- **Repository**: ICTNLP/InstructS2S-200K
- **License**: Apache License 2.0
- **Storage size**: 321 GB
- **Downloads**: 4790
- **Stars**: 0
- **Last updated**: 2025-12-01

Source: https://www.modelscope.cn/datasets/ICTNLP/InstructS2S-200K

---

# InstructS2S-200K

## Dataset Description

**InstructS2S-200K** is a multi-turn speech-to-speech conversation dataset containing approximately 200,000 dialogues, developed for the LLaMA-Omni and LLaMA-Omni 2 research projects on real-time spoken chatbots.

## Usage

The dataset is split into multiple parts and needs to be reconstructed:

```bash
# Combine the parts and extract
cat en_part_* > instructs2s_200k.tar.gz
tar -xzf instructs2s_200k.tar.gz
```

## License

This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. It is available for academic research purposes only, but cannot be used for commercial purposes.

## Citation

```bibtex
@inproceedings{fang2025llamaomni2,
  title={LLaMA-Omni 2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis},
  author={Fang, Qingkai and Zhou, Yan and Guo, Shoutao and Zhang, Shaolei and Feng, Yang},
  booktitle={Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics},
  year={2025}
}

@inproceedings{fang2025llamaomni,
  title={LLaMA-Omni: Seamless Speech Interaction with Large Language Models},
  author={Fang, Qingkai and Guo, Shoutao and Zhou, Yan and Ma, Zhengrui and Zhang, Shaolei and Feng, Yang},
  booktitle={The Thirteenth International Conference on Learning Representations},
  year={2025}
}
```