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README.md
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---
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license: cc-by-4.0
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task_categories:
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- summarization
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- text-classification
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- text-generation
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language:
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- tr
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pretty_name: htv-news
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size_categories:
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- 100K<n<1M
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---
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# HalkTV-News Dataset
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## Dataset Summary
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HalkTV-News is a Turkish news dataset containing 173,179 articles collected from Halk TV's news portal. Each article includes a title, summary, full content, and a source URL. The dataset is designed for tasks such as text classification, summarization, and topic modeling in Turkish. It provides a rich resource for understanding and modeling Turkish news content.
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## Supported Tasks and Leaderboards
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- **Text Summarization**: With included summaries, the dataset can be used for abstractive or extractive summarization tasks.
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- **Text Classification**: The dataset can be used to classify news articles into categories or topics.
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- **Sentiment Analysis**: The content can be analyzed for sentiments in Turkish.
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- **Topic Modeling**: Suitable for discovering hidden themes in news content.
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## Languages
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The dataset is entirely in Turkish (`tr`).
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## Dataset Structure
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The dataset contains the following columns:
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- `Başlık`: The title of the article.
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- `Özet`: A brief summary of the article.
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- `İçerik`: The full content of the article.
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- `Link`: The URL linking to the full article on the Halk TV website.
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#### Example Row:
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| Başlık | Özet | İçerik | Link |
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|------------------------------------------|---------------------------------------|--------------------------|------------------------------------------------|
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| Kepçe operatörüne yol gösterirken... | Artvin’in Şavşat ilçesinde... | İlçeye bağlı Maden... | https://halktv.com.tr/gundem/kepce-operator...|
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## Data Splits
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The dataset is provided as a single split with 173,180 examples. Users can split the dataset into train, validation, and test sets as needed.
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## Source Data
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The dataset was collected from Halk TV's publicly available news portal. The articles were programmatically scraped and processed to extract relevant metadata such as title, summary, and content.
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## Licensing Information
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This dataset is available for research purposes only. Please ensure compliance with the original data sources' terms of use.
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## Citation
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If you use this dataset, please cite the following:
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- N. Z. Kayalı and S. I. Omurca, "HTV-News: A New Dataset with High Novelty Rate for Turkish Text Summarization," 2024 9th International Conference on Computer Science and Engineering (UBMK), Antalya, Turkiye, 2024, pp. 1-6, doi: 10.1109/UBMK63289.2024.10773431.
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