README.md

metadata

dataset_info:
  features:
    - name: text
      dtype: string
    - name: id
      dtype: string
    - name: domain
      dtype: string
  splits:
    - name: train
      num_bytes: 65506190827
      num_examples: 12169131
  download_size: 34648619492
  dataset_size: 65506190827
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Description

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

• Developed by: Viettel Solution
• Language: Vietnamese

Details

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.

Dataset Statistics

** Content diversity

** Character based metrics

** Token count distribution

** Embedding visualization