You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

RedVox

Multilingual red teaming dataset for audio and speech.

This dataset corresponds to the test set presented in the paper "RedVox: Safety and Fairness Gaps in Speech Models Across Languages" (Savoldi, Papi et al., 2026)

Dataset Structure

The dataset is organized by language configuration:

  • en/ - English language samples (1,359 entries)
  • de/ - German language samples (519 entries)
  • es/ - Spanish language samples (354 entries)
  • fr/ - French language samples (401 entries)
  • it/ - Italian language samples (781 entries)

Total: 3,414 entries

Each directory contains:

  • metadata.jsonl - JSONL file with sample metadata and annotations
  • audio/ - Directory with audio files in WAV format

Audio Modalities

The dataset includes two main types of input types:

Speech Modality

  • Original speech recordings containing hamrful requests uttered by human participants
  • Single entry per sample
  • audio_type: "speech"

Audio Modality

  • Available into 3 audio variants
    • audio_type: "silence" - Background silence
    • audio_type: "noise_a" - Background noise variant A
    • audio_type: "noise_b" - Background noise variant B

Metadata Schema

{
  "ID": 1,
  "audio": "audio/filename.wav",
  "original_id": 0,
  "user_id": "hash_string",
  "lang": "de",
  "vulnerability_type": "stereotype",
  "audio_type": "speech",
  "modality": "speech",
  "user_text": "text input or question",
  "transcript": "transcribed speech content"
}

Features

  • ID: unique entry identifier
  • audio: Path to input audio file
  • user_id: Unique identifier for user
  • lang: Source language
  • original_id: original dataset identifier from M-ALERT and SHADES datasets
  • vulnerability_type: Type of vulnerability being tested (stereotype or unsafe request)
  • attack_type: Type of attack (non_adversarial)
  • audio_type: Type of audio (speech / silence / noise_a / noise_b)
  • user_text: User's text input
  • modality: harmful content modality (in speech or text)
  • gender: User's gender
  • age_group: User's age group
  • mother_tongue: User's mother tongue
  • ethnicity: User's ethnicity
  • transcript: Speech transcript of the audio input

Stats by Language

lang total speech silence noise_a noise_b
de 519 135 128 128 128
en 1359 342 339 339 339
es 354 85 89 90 90
fr 401 95 102 102 102
it 781 184 199 199 199

Splits

The dataset can be loaded with different configurations:

from datasets import load_dataset

# Load German language config
dataset = load_dataset("path/to/repo", name="de", split="test")

# Load English language config
dataset = load_dataset("path/to/repo", name="en", split="test")

Citation

If you use this dataset in your research, please cite the following paper:

@misc{savoldi2026redvoxsafetyfairnessgaps,
      title={RedVox: Safety and Fairness Gaps in Speech Models Across Languages}, 
      author={Beatrice Savoldi and Sara Papi and Wafa Aissa and Matteo Negri and Luisa Bentivogli},
      year={2026},
      eprint={2606.26968},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2606.26968}
}

Code and Evaluation

For code, evaluation scripts, and additional resources related to this dataset, see: hlt-mt/redvox

License

TBA

Downloads last month
15

Paper for FBK-MT/RedVox