VTSNLP/vietnamese_curated_dataset

Dataset Description

Vietnamese Curated Text Dataset. This dataset is collected from multiple open Vietnamese datasets, and curated with NeMo Curator

• Developed by: Viettel Solutions
• Language: Vietnamese

Details

Please visit our Tech Blog post on NVIDIA's plog page for details. Link

Data Collection

We utilize a combination of datasets that contain samples in Vietnamese language, ensuring a robust and representative text corpus. These datasets include:

• The Vietnamese subset of the C4 dataset .
• The Vietnamese subset of the OSCAR dataset, version 23.01.
• Wikipedia's Vietnamese articles.
• Binhvq's Vietnamese news corpus.

Preprocessing

We use NeMo Curator to curate the collected data. The data curation pipeline includes these key steps:

1. Unicode Reformatting: Texts are standardized into a consistent Unicode format to avoid encoding issues.
2. Exact Deduplication: Removes exact duplicates to reduce redundancy.
3. Quality Filtering:
4. Heuristic Filtering: Applies rules-based filters to remove low-quality content.
5. Classifier-Based Filtering: Uses machine learning to classify and filter documents based on quality.

Notebook

Dataset Statistics

Content diversity

Character based metrics

Token count distribution

Embedding visualization UMAP visualization of 5% of the dataset