Vietnamese Inverse Text Normalization Patterns

Data for performing Inverse Text Normalization (ITN) in the Vietnamese language, transforming spoken-style text to written forms. It is authored by nguyenvulebinh and was last updated on May 8, 2025. Specific details on row count, column structure, and file formats are not provided in the input.

Use Cases

• Train a sequence-to-sequence model to transform spoken-style Vietnamese text into its written form.
• Fine-tune a language model on Vietnamese ITN patterns to improve the readability of Automatic Speech Recognition (ASR) system outputs.
• Analyze common patterns in spoken-to-written Vietnamese transformations for linguistic research.

Strengths

• Dataset is focused on a specific, well-defined NLP task: Vietnamese Inverse Text Normalization.
• The dataset was updated recently, on May 8, 2025, indicating potential maintenance.

Limitations

• The dataset's size, structure, and specific content are unknown, as no row count, column names, or sample data are provided.
• The dataset's license, collection methodology, and geographic scope are not specified, limiting reproducibility and use case assessment.

Provenance

Source

huggingface

Collection Method

Method of data gathering is not specified in the input.

Freshness

Last updated on 2025-05-08.

Geography

Vietnam (implied by focus on Vietnamese language)