Ossetian-News-Multiclass

A comprehensive dataset for multi-class classification of Ossetian news articles across 12 thematic categories.
Contains approximately 13,036 manually curated records in the Ossetian language, designed for training and evaluating NLP models on low-resource language categorization.

📊 Dataset Statistics

Metric	Value
Total records	13,036
Language	Ossetian (ISO 639-1: os)
Task type	Multi-class text classification
Number of classes	12
Top class distribution	Культура и Искусство: 23.1%, Общество: 23.0%, Политика: 13.1%, Спорт: 12.3%
Avg. text length	1,622 ± 1,981 characters
License	CC BY 4.0

📁 Data Fields

Field	Type	Description
text	string	Full news text (headline + body content) in Ossetian
label	string	Thematic category (12 classes, see list below)
url	string	Original source URL of the news article

🏷️ List of Classes: Культура и Искусство, Общество и Социальная сфера, Политика и Государство, Спорт, Происшествия и Правопорядок, Медицина и ЗОЖ, Образование и Наука, Сельское хозяйство и Экология, Экономика и ЖКХ, История и Память, Туризм и География, Религия и Традиции

💻 Quick Start

from datasets import load_dataset

# Load and preview 5 samples
ds = load_dataset("OssetianNLPWorld/ossetian-news-multiclass")
for i, sample in enumerate(ds["train"].select(range(5)), 1):
    print(f"\n--- Sample {i} ---")
    print(f"Label: {sample['label']}")
    print(f"Text: {sample['text'][:200]}...")
    print(f"URL: {sample['url']}")

🔗 Data Sources

News articles were collected from the following Ossetian-language media outlets:

Source	Type
alaniatv.ru	TV & news portal
iryston.tv	Regional TV & news
mahdug.ru	Cultural & social news
rastdzinad.ru	Regional news
sputnik-ossetia.com	News agency
xurzarin.ru	Independent news portal

🙏 About the Creator

This dataset and the OssetianNLPWorld organization on Hugging Face were created and are maintained by:

Arabov Mullosharaf Kurbonovich
Candidate of Physical and Mathematical Sciences, Associate Professor
Department of Data Analysis and Programming Technologies
Kazan Federal University, Russia

The OssetianNLP initiative is a personal research project aimed at developing natural language processing tools and resources for the Ossetian language and other low-resource languages of the Caucasus region.

📄 Citation

If you use this dataset in your research, please cite it as follows:

@dataset{arabov2026ossetiannewsmulticlass,
  author = {Arabov, Mullosharaf Kurbonovich},
  title = {{Ossetian-News-Multiclass}: A Dataset for Multi-Class Classification of Ossetian News},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/OssetianNLPWorld/ossetian-news-multiclass},
  license = {CC BY 4.0}
}

⚠️ Limitations

• The dataset exhibits mild class imbalance (top 2 categories cover ~46% of data). Consider using class weights or stratified sampling during training.
• Class labels are provided in Russian for compatibility with existing annotation workflows and regional NLP pipelines.
• Some articles may contain mixed-language content (Ossetian + Russian) or boilerplate metadata.

📬 Contact

For questions, collaboration proposals, or feedback:

Arabov Mullosharaf Kurbonovich
📧 cool.araby@gmail.com
🔗 Telegram: @cool_araby • VK: @cool.araby
🏢 Kazan, Russia

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Dataset version: 1.0 • Last updated: April 2026 • Part of the OssetianNLP initiative by Arabov M.K.