voxtral
Datasets
All datasets matching “voxtral”my-voxtral-datasetvoxtral-emotion-speech
Voxtral Emotion Speech Dataset
Emotional speech dataset generated with ElevenLabs v3 using audio tags for emotion control, validated with SenseVoice for quality assurance.
Quality Filter
Each generated clip is validated using SenseVoice (iic/SenseVoiceSmall) to ensure the emotion in the audio matches the expected label.
Process:
Generate audio with ElevenLabs v3 using emotion audio tags
Run SenseVoice inference on the audio
Compare detected emotion with expected emotion… See the full description on the dataset page: https://huggingface.co/datasets/MrlolDev/voxtral-emotion-speech.voxtral-forensic-dsvoxtral-emotion-temporal
VoxTral Emotion Temporal Dataset
Dataset for training emotion transition detection in speech. ~500 clips with frame-level emotion annotations at 20ms resolution.
Overview
Property
Value
Clips
~500
Sample Rate
16000 Hz
Frame Resolution
20ms
Emotions
6 (neutral, happy, angry, sad, surprise, fear)
Clip Distribution
Single Emotion (40%): One emotion throughout
Transitions (40%): Emotion changes mid-sentence (2-3 segments)
No Emotion (20%):… See the full description on the dataset page: https://huggingface.co/datasets/MrlolDev/voxtral-emotion-temporal.voxtral-synthetic-eng-test
Voxtral Synthetic English (ASR)
Synthetic speech dataset for fine-tuning Voxtral ASR models. English utterances generated with ElevenLabs TTS from the CohereLabs/aya_collection_language_split (english, targets column). All audio is 16 kHz mono WAV.
Dataset structure
Column
Type
Description
audio_path
string
Path to the audio file in this repo (e.g. audio/utt_000000.wav)
text
string
Ground-truth transcript for the audio
Audio: 16 kHz, mono, WAV, stored… See the full description on the dataset page: https://huggingface.co/datasets/shakods/voxtral-synthetic-eng-test.voxtral-dataset-20250913_174653
Voxtral ASR Dataset
This dataset was created using the Voxtral ASR Fine-tuning Interface.
Dataset Structure
audio_path: Relative path to the audio file (stored in audio/ directory)
text: Transcription of the audio
Dataset Statistics
Number of examples: 10
Audio files uploaded: 10
Total dataset size: 10,015,616 bytes
Usage
from datasets import load_dataset, Audio
# Load dataset
dataset = load_dataset("Tonic/voxtral-dataset-20250913_174653")
#… See the full description on the dataset page: https://huggingface.co/datasets/Tonic/voxtral-dataset-20250913_174653.