dataset_info:
features:
- name: region
dtype: string
- name: province_code
dtype: int64
- name: province_name
dtype: string
- name: filename
dtype: string
- name: text
dtype: string
- name: speakerID
dtype: string
- name: gender
dtype: int64
- name: audio
dtype: audio
splits:
- name: train
num_bytes: 51014515813
num_examples: 15023
- name: test
num_bytes: 6669046477
num_examples: 2026
- name: valid
num_bytes: 6334942186
num_examples: 1900
download_size: 59828302626
dataset_size: 64018504476
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: valid
path: data/valid-*
Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges
Dataset Overview
Overall, our dataset offers a comprehensive representation of Vietnamese dialects, including 63 provincial dialects. It consists of 102.56 hours of audio recordings, with nearly 19,000 records ob- tained from 12,955 speakers. The accompanying transcripts consist of over 1.2 million words, with a distinct vocabulary of 5,155 unique words. The train, validation, and test sets were split in an 8:1:1 ratio based on duration, resulting in 81.43 hours, 10.26 hours, and 10.87 hours, respectively. This ratio extended to the number of records, speakers, and words as well. Notwithstanding such a ratio, the unique word counts in the validation set (2,660 unique words) and test set (2,723 unique words) does not differ significantly from from the training set (4,813 unique words), thus preserving the vocabulary diversity. Across the 63 provincial dialects, with the exception of the number of speakers exhibiting imbalance, the remaining attributes duration, number of records, words, and unique words – are well-balanced
Citation Information
@article{Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges,
title={Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges},
author={Nguyen Van Dinh, Thanh Chi Dang, Luan Thanh Nguyen, Kiet Van Nguyen},
year=2024,
month=October},
url={https://huggingface.co/datasets/nguyendv02/ViMD_Dataset}