---
license: cc-by-4.0
task_categories:
- summarization
- text-classification
- text-generation
language:
- tr
pretty_name: htv-news
size_categories:
- 100K<n<1M
---

# HalkTV-News Dataset

## Dataset Summary
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.

## Supported Tasks and Leaderboards
- **Text Summarization**: With included summaries, the dataset can be used for abstractive or extractive summarization tasks.
- **Text Classification**: The dataset can be used to classify news articles into categories or topics.
- **Sentiment Analysis**: The content can be analyzed for sentiments in Turkish.
- **Topic Modeling**: Suitable for discovering hidden themes in news content.

## Languages
The dataset is entirely in Turkish (`tr`).

## Dataset Structure
The dataset contains the following columns:
- `Başlık`: The title of the article.
- `Özet`: A brief summary of the article.
- `İçerik`: The full content of the article.
- `Link`: The URL linking to the full article on the Halk TV website.

#### Example Row:
| Başlık                                   | Özet                                  | İçerik                   | Link                                           |
|------------------------------------------|---------------------------------------|--------------------------|------------------------------------------------|
| Kepçe operatörüne yol gösterirken...     | Artvin’in Şavşat ilçesinde...          | İlçeye bağlı Maden...    | https://halktv.com.tr/gundem/kepce-operator...|

## Data Splits
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.

## Source Data
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.

## Licensing Information
This dataset is available for research purposes only. Please ensure compliance with the original data sources' terms of use.

## Citation
If you use this dataset, please cite the following:
- 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. https://ieeexplore.ieee.org/document/10773431