8,116 Myanmar-language news snippets categorized into Business, Entertainment, Politic, and Sport classes. These snippets were curated in October 2017 and provide a focused corpus for Burmese text classification tasks.
Use Cases
- Train a multi-class classifier to map the text column to one of the four category labels
- Fine-tune Burmese language models using the text field for domain-specific news understanding
- Analyze linguistic patterns in 2017 Myanmar news using the text and category features
Strengths
- 8,116 labeled rows in a single training split
- Includes two primary columns: text and category
- Categorized into four specific labels: Business, Entertainment, Politic, and Sport