Datasets:
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README.md
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license: cc0-1.0
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---
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license: cc0-1.0
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task_categories:
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- text-classification
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- summarization
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- feature-extraction
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- text-generation
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language:
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- pt
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pretty_name: News of the Brazilian Newspaper
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size_categories:
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- 100K<n<1M
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---
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# News of the Brazilian Newspaper
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This repository contains a comprehensive dataset of news articles from a Brazilian newspaper, Folha de São Paulo (http://www.folha.uol.com.br/). The dataset includes 167,053 examples of news articles, comprising headlines, URLs of articles, complete articles, and their respective categories.
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## Dataset Creation
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The headlines were initially gathered from Inshorts and were then used to scrape the complete news articles from Folha de São Paulo. The dataset covers a time period ranging from January 2015 to September 2017, providing a wealth of information for researchers, analysts, and developers interested in analyzing and understanding trends in Brazilian news over this time period.
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## Data Format
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The dataset is provided in a single CSV file, with each row representing a unique news article. The columns of the dataset include the following:
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- **Title:** The title of the news article.
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- **Text:** The complete text of the news article.
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- **Date:** The publish date
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- **Category:** The category of the news article.
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- **Subcategory:** The subcategory of the news article.
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- **Link:** The URL of the news article.
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## Usage
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This dataset can be used for a variety of applications, such as natural language processing, sentiment analysis, and trend analysis of Brazilian news over the given time period. We hope that this dataset will be a valuable resource for researchers, analysts, and developers who are interested in gaining insights into the news landscape of Brazil.
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## Citation
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If you use this dataset in your work, please cite the original author Marlesson Santana ( [email]([email protected]) | [github](https://github.com/marlesson) ):
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* https://www.kaggle.com/datasets/marlesson/news-of-the-site-folhauol
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* https://github.com/marlesson/scrapy_folha
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## License
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This dataset is released under the [CC0: Public Domain](https://creativecommons.org/share-your-work/public-domain/cc0/) license.
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## Contributing
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We welcome contributions to this dataset! If you have additional data to contribute or if you find any issues with the dataset, please create a pull request or submit an issue.
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