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