Vietnamese Inverse Text Normalization

Inverse text normalization (ITN) is the task that transforms spoken to written styles. It is particularly useful in automatic speech recognition (ASR) systems where proper names are often miss-recognized by their pronunciations instead of the written forms. By applying ITN, we can improve the readability of the ASR system’s output significantly. This dataset provides data for doing ITN task in the Vietnamese language.

For example:

Spoken (src)	Written (tgt)	Types
tám giờ chín phút ngày ba tháng tư năm hai nghìn	8h9 3/4/2000	time and date
tám mét khối năm mươi ki lô gam	8m3 50 kg	number and unit of measure
không chín sáu hai bảy bảy chín chín không bốn	0962779904	phone number

Dataset

The ITN dataset has 3 splits: train, validation, and test.

Dataset Split	Number of Instances in Split
Train	500,000
Validation	2,500
Test	2,500