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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:
- Unicode Reformatting: Texts are standardized into a consistent Unicode format to avoid encoding issues.
- Exact Deduplication: Removes exact duplicates to reduce redundancy.
- Quality Filtering:
- Heuristic Filtering: Applies rules-based filters to remove low-quality content.
- Classifier-Based Filtering: Uses machine learning to classify and filter documents based on quality.
Dataset Statistics
Content diversity
Character based metrics
Token count distribution
Embedding visualization
UMAP visualization of 5% of the dataset
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