text-2-audio-human-preference-benchmark

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# Text to Audio Human Benchmark

<a href="https://www.rapidata.ai">
<img src="https://cdn-uploads.huggingface.co/production/uploads/66f5624c42b853e73e0738eb/jfxR79bOztqaC6_yNNnGU.jpeg" width="400" alt="Dataset visualization">
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In this dataset, ~32k human responses collected in less than 1h using the [Rapidata Python API](https://docs.rapidata.ai/mri/), accessible to anyone and ideal for large scale evaluation.

The annotators were asked **Which voice is more friendly?** and **Which voice sounds more natural?** respectively.

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<a href="https://app.rapidata.ai/mri/benchmarks/68ebcd86bd00d9b672b98995">
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Check out the Benchmark!
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<img class="image" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/Fp0fv_5cW6toqXwSozDEk.png" alt="Audio Benchmark">
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# 文本转音频人类评估基准数据集

<a href="https://www.rapidata.ai">
<img src="https://cdn-uploads.huggingface.co/production/uploads/66f5624c42b853e73e0738eb/jfxR79bOztqaC6_yNNnGU.jpeg" width="400" alt="数据集可视化">
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本数据集通过[Rapidata Python API](https://docs.rapidata.ai/mri/)采集，共获取约3.2万条人类标注反馈，全程耗时不足1小时。该数据集面向所有用户开放，是开展大规模模型评估的理想基准数据集。

标注人员需分别完成两项评估任务：**“哪段语音更具亲和力？”** 与 **“哪段语音听起来更自然流畅？”**。

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<a href="https://app.rapidata.ai/mri/benchmarks/68ebcd86bd00d9b672b98995">
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体验该基准测试！
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<img class="image" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/Fp0fv_5cW6toqXwSozDEk.png" alt="音频基准测试">
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