README.md

metadata

configs:
  - config_name: AISHELL1_dev
    data_files:
      - split: test
        path: AISHELL1_dev/metadata.parquet
  - config_name: Background_noise
    data_files:
      - split: test
        path: Background_noise/metadata.parquet
  - config_name: Bilingual_uedin
    data_files:
      - split: test
        path: Bilingual_uedin/metadata.parquet
  - config_name: CommonVoiceFR_dev
    data_files:
      - split: test
        path: CommonVoiceFR_dev/metadata.parquet
  - config_name: Libritts
    data_files:
      - split: test
        path: Libritts/metadata.parquet
  - config_name: Long_context
    data_files:
      - split: test
        path: Long_context/metadata.parquet
  - config_name: Multispeaker_libri
    data_files:
      - split: test
        path: Multispeaker_libri/metadata.parquet
  - config_name: VCTK
    data_files:
      - split: test
        path: VCTK/metadata.parquet
  - config_name: robotcall
    data_files:
      - split: test
        path: robotcall/metadata.parquet
  - config_name: vctk_text_robust
    data_files:
      - split: test
        path: vctk_text_robust/metadata.parquet

RVCBench

RVCBench is a benchmark dataset for studying robustness in voice cloning and related audio generation pipelines.

Each subset is exposed as its own Hugging Face dataset configuration. Most subsets contain:

• metadata.parquet
• audios/

The canonical metadata stores one row per benchmark pair with columns such as:

• speaker_id
• prompt_file_name
• prompt_text
• prompt_language
• target_file_name
• target_text
• target_language
• pair_id
• dataset_name
• split

When available, training-oriented annotations are also preserved:

• prompt_phonemes, prompt_tone, prompt_word2ph
• target_phonemes, target_tone, target_word2ph

Some subsets include additional task-specific metadata, for example spam_type in robotcall.

Available Configs

• AISHELL1_dev
• Background_noise
• Bilingual_uedin
• CommonVoiceFR_dev
• Libritts
• Long_context
• Multispeaker_libri
• VCTK
• robotcall
• vctk_text_robust

Notes

• The compression directory is intentionally excluded from this dataset release.
• This repository is organized for direct browsing in the Hugging Face dataset viewer.

Paper

This dataset is introduced in: RVCBench: Benchmarking the Robustness of Voice Cloning Across Modern Audio Generation Models