README.md

---
dataset_info:
  features:
  - name: audio1
    dtype: string
  - name: audio2
    dtype: string
  - name: model1
    dtype: string
  - name: model2
    dtype: string
  - name: Friendly_weighted_score_audio_1
    dtype: float64
  - name: Friendly_weighted_score_audio_2
    dtype: float64
  - name: Friendly_detailedResults
    list:
    - name: userDetails
      struct:
      - name: age
        dtype: string
      - name: country
        dtype: string
      - name: gender
        dtype: string
      - name: language
        dtype: string
      - name: occupation
        dtype: string
      - name: userScores
        struct:
        - name: audio_on
          dtype: float64
        - name: global
          dtype: float64
    - name: votedFor
      dtype: string
  - name: Natural_weighted_score_audio_1
    dtype: float64
  - name: Natural_weighted_score_audio_2
    dtype: float64
  - name: Natural_detailedResults
    list:
    - name: userDetails
      struct:
      - name: age
        dtype: string
      - name: country
        dtype: string
      - name: gender
        dtype: string
      - name: language
        dtype: string
      - name: occupation
        dtype: string
      - name: userScores
        struct:
        - name: audio_on
          dtype: float64
        - name: global
          dtype: float64
    - name: votedFor
      dtype: string
  splits:
  - name: train
    num_bytes: 4487816
    num_examples: 4269
  download_size: 407878
  dataset_size: 4487816
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- text-to-speech
pretty_name: Text to Audio Human Preference Benchmark
tags:
- t2a
- text-2-audio
- minimax
- google-gemini-2.5-pro-tts
- elevenlabs
- openai
- openai-gpt-4o-tts
- openai-gpt-4o-mini-tts
---
<style>
.link-container {
    padding: 10px;
    text-align: center;
    border: 1px solid #000000;
    border-radius: .25rem;
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# Text to Audio Human Benchmark

<a href="https://www.rapidata.ai">
<img src="https://huggingface.co/proxy/cdn-uploads.huggingface.co/production/uploads/66f5624c42b853e73e0738eb/jfxR79bOztqaC6_yNNnGU.jpeg" width="400" alt="Dataset visualization">
</a>

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. 

<br />
<a href="https://app.rapidata.ai/mri/benchmarks/68ebcd86bd00d9b672b98995">
    <div class="link-container">
    <div>
        Check out the Benchmark!
    </div>
        <img class="image" src="https://huggingface.co/proxy/cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/Fp0fv_5cW6toqXwSozDEk.png" alt="Audio Benchmark">
    </div>
</a>