Datasets:
Ossetian-News-Multilabel
A dataset for multi-label classification of Ossetian news articles, where each record can belong to multiple thematic categories simultaneously.
Contains approximately 13,036 manually curated records in the Ossetian language, designed for training and evaluating NLP models on complex topic assignment tasks.
📊 Dataset Statistics
| Metric | Value |
|---|---|
| Total records | 13,036 |
| Language | Ossetian (ISO 639-1: os) |
| Task type | Multi-label text classification |
| Number of labels | 12 |
| Avg. labels per record | 1.03 (median: 1.0, max: 3) |
| Label matrix sparsity | 91.4% zeros |
| 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 |
labels |
list[string] |
List of thematic categories (1 or more per record) |
url |
string |
Original source URL of the news article |
🏷️ List of Possible Labels:
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-multilabel")
for i, sample in enumerate(ds["train"].select(range(5)), 1):
print(f"\n--- Sample {i} ---")
print(f"Labels: {sample['labels']}")
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{arabov2026ossetiannewsmultilabel,
author = {Arabov, Mullosharaf Kurbonovich},
title = {{Ossetian-News-Multilabel}: A Dataset for Multi-Label Classification of Ossetian News},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/OssetianNLPWorld/ossetian-news-multilabel},
license = {CC BY 4.0}
}
⚠️ Limitations
- Most records have only 1 label (~97%); true multi-label examples are relatively rare.
- Class imbalance is present: frequent labels like "Культура" (23.2%) dominate over rare ones like "Религия" (0.5%).
- Labels are provided in Russian for compatibility with existing annotation workflows.
- Some articles may contain mixed-language content (Ossetian + Russian).
📬 Contact
For questions, collaboration proposals, or feedback:
Arabov Mullosharaf Kurbonovich
📧 cool.araby@gmail.com
🔗 Telegram: @cool_araby • VK: @cool.araby
🏢 Kazan Federal University, Kazan, Russia
Dataset version: 1.0 • Last updated: April 2026 • Part of the OssetianNLP initiative by Arabov M.K.
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