---
title: EmergentTTS-Eval
canonical_url: "https://www.modelscope.cn/datasets/bosonai/EmergentTTS-Eval"
md_url: "https://www.modelscope.cn/datasets/bosonai/EmergentTTS-Eval.md"
repository: bosonai/EmergentTTS-Eval
last_updated: 2025-07-23
license: "Apache License 2.0"
storage_size: "1.1 GB"
downloads: 362
stars: 0
---

# EmergentTTS-Eval

> EmergentTTS-Eval - bosonai 在 ModelScope 开源的数据集。EmergentTTS-Eval Dataset

bosonai/EmergentTTS-Eval 是 ModelScope 魔搭社区上的数据集，存储大小 1.1 GB，采用 Apache License 2.0 许可。

- **Repository**: bosonai/EmergentTTS-Eval
- **License**: Apache License 2.0
- **Storage size**: 1.1 GB
- **Downloads**: 362
- **Stars**: 0
- **Last updated**: 2025-07-23

Source: https://www.modelscope.cn/datasets/bosonai/EmergentTTS-Eval

---

# EmergentTTS-Eval Dataset

This dataset accompanies the paper [EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge](https://huggingface.co/papers/2505.23009). It contains 1645 diverse test cases designed to evaluate Text-to-Speech (TTS) models on six challenging scenarios: emotions, paralinguistics, foreign words, syntactic complexity, complex pronunciation (e.g., URLs, formulas), and questions.

[Github](https://github.com/boson-ai/EmergentTTS-Eval-public) | [arXiv](https://arxiv.org/abs/2505.23009)

The dataset is structured as follows: Each sample contains a category, the text to synthesize, the evolution depth, the language, and the corresponding baseline audio generated by gpt-4o-mini-tts alloy voice, against which we compute win-rate. Details on the data structure can be found in the dataset's metadata. See the linked Github repository for more details on usage and evaluation.