6,300 Kannada news headlines categorized into Entertainment, Tech, and Sports classes. The dataset is pre-split into training and testing sets to facilitate the benchmarking of text classification models in the Kannada language.
Use Cases
- Train a text classification model to categorize news using the headline text and category labels
- Benchmark natural language processing (NLP) performance for the Kannada language using the provided train and test splits
- Develop a news recommendation system based on the Entertainment, Tech, and Sports categories
Strengths
- 6,300 news article headlines sourced from Kannada news websites
- Categorized into three specific labels: Entertainment, Tech, and Sports
- Pre-partitioned into training and testing sets for standardized model evaluation