Datasets:
metadata
language:
- vi
- en
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
pretty_name: AI2Text Bilingual ASR Dataset (Vietnamese + English)
size_categories:
- 100K<n<1M
AI2Text – Bilingual ASR Dataset
A large-scale bilingual (Vietnamese + English) speech dataset used to train
the Cong123779/AI2Text-Bilingual-ASR model.
Dataset Summary
| Split | Samples | Notes |
|---|---|---|
| train | ~194,167 | 77% Vietnamese, 23% English |
| val | ~30,123 | held-out validation |
Data Fields
Each manifest.csv has the following columns:
| Column | Description |
|---|---|
id |
Unique sample identifier |
transcript |
Ground-truth text (prefixed with <|vi|> or <|en|>) |
audio_path |
Relative path to the .wav file |
duration |
Duration in seconds |
words_json |
JSON array of word-level timestamps |
Audio Format
- Sample rate: 16,000 Hz
- Channels: Mono
- Format: WAV
Language Distribution
- Vietnamese (
<|vi|>token): ~77% - English (
<|en|>token): ~23%
Usage
import pandas as pd
from datasets import load_dataset
# Load only the manifest CSVs (fast, no audio)
ds = load_dataset("Cong123779/AI2Text-Bilingual-ASR-Dataset",
data_files={"train": "train/manifest.csv",
"val": "val/manifest.csv"})
print(ds)
License
Creative Commons Attribution 4.0 (CC-BY 4.0)