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 annotationsaudio/- 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 silenceaudio_type: "noise_a"- Background noise variant Aaudio_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 identifieraudio: Path to input audio fileuser_id: Unique identifier for userlang: Source languageoriginal_id: original dataset identifier from M-ALERT and SHADES datasetsvulnerability_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 inputmodality: harmful content modality (in speech or text)gender: User's genderage_group: User's age groupmother_tongue: User's mother tongueethnicity: User's ethnicitytranscript: 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
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