README.md

metadata

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

Text to Audio Human Benchmark

In this dataset, ~32k human responses collected in less than 1h using the Rapidata Python API, 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.

Check out the Benchmark!