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---
dataset_info:
features:
- name: audio_name
sequence: string
- name: dialect
sequence: string
- name: gender
sequence: string
- name: speaker
sequence: string
splits:
- name: train
num_bytes: 296025
num_examples: 6941
- name: validation
num_bytes: 52245
num_examples: 1225
- name: clean_test
num_bytes: 64000
num_examples: 1500
- name: noise_test
num_bytes: 43520
num_examples: 1020
download_size: 87783
dataset_size: 455790
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: clean_test
path: data/clean_test-*
- split: noise_test
path: data/noise_test-*
language:
- vi
tags:
- audio
- voice-classification
- dialect-gender-recognition
---
# Dataset Card for the ViSpeech dataset
## Dataset Summary
The ViSpeech Dataset is a collection of unscripted audio recordings designed for the classification of gender and Vietnamese dialects. The dataset comprises 10,686 mp3 files, totaling slightly over 14 hours of speech data from 449 speakers representing both genders across the three primary Vietnamese dialects: Northern, Central, and Southern. It is divided into three subsets: a training set with clean recordings and two test sets—one with clean recordings and the other with ambient noise. Notably, the speakers in the training set are independent of those in the test sets. The dataset is designed to provide a diverse and comprehensive resource for audio classification research.
## Dataset Details
### Dataset Information
- **Configurations**: The dataset contains the following configurations:
- `train`: Training data with gender and dialect information.
- `validation`: Validation data with gender and dialect information.
- `clean_test`: Clean test data for evaluation.
- `noise_test`: Noisy test data for evaluation.
- **Features**:
- `audio`: Audio data with a sampling rate of 16,000 Hz.
- `audio_path`: File path to each audio file.
- `audio_name`: The name of the audio file.
- `dialect`: The dialect of the speaker.
- `gender`: The gender of the speaker.
- `speaker`: The speaker's identifier.
- **Splits**:
- **Train**: Contains the training data files.
- **Validation**: Contains the validation data files.
- **Clean Test**: Contains the clean test data files.
- **Noise Test**: Contains the noisy test data files.
### Licensing
The dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (cc-by-nc-sa-4.0).
## Example Usage
You can load the dataset in Python using the `datasets` library:
```python
from datasets import load_dataset
ds = load_dataset("{dataset_name}", "train")
print(ds)
```
gives:
```
DatasetDict({
train: Dataset({
features: ['audio_name', 'dialect', 'gender', 'speakers'],
num_rows: 6941
})
})
```
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