metadata
task_categories:
- text-classification
language:
- es
size_categories:
- 1K<n<10K
The dataset is designed for the classification of paragraphs from news articles into easy-to-read and difficult-to-read categories. It contains 4,128 records extracted from "Planeta Fácil" news articles for easy reading and from various Spanish newspapers for difficult reading. The dataset is divided into training, validation, and test sets.
The dataset consists of two columns: one containing the text of the news article and the other with the corresponding label. Category 0 corresponds to difficult-to-read news articles. Category 1 corresponds to easy-to-read news articles.