| --- |
| dataset_info: |
| features: |
| - name: id |
| dtype: int64 |
| - name: title |
| dtype: string |
| - name: topic |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 40302 |
| num_examples: 267 |
| download_size: 20514 |
| dataset_size: 40302 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
|
|
| language: ba |
| license: mit |
| tags: |
| - bashkir |
| - low-resource-language |
| - topic-classification |
| - news |
| - task-specific-tuning |
| pretty_name: Bashqort Topic Classification |
| size_categories: |
| - 100<n<1000 |
| --- |
| |
| # Bashqort Topic Classification |
|
|
| ## Description |
|
|
| A **topic classification** dataset for Bashkir news headlines. This dataset was created because no publicly available topic classification benchmark exists for Bashkir. It is intended for **task‑specific fine‑tuning** and evaluation of LLMs adapted to Bashkir. |
|
|
| ## Data Creation |
|
|
| - **Source**: Random sampling of headlines from [bash.news](https://bash.news) |
| - **Annotation**: Manual labeling by **Ilyas Khatipov** (native speaker of Bashkir) |
| - **Cleaning**: Removed categories with fewer than 17 samples to improve class balance |
|
|
| ## Class Distribution (after cleaning) |
|
|
| | Topic | Count | Proportion | |
| |-------|-------|-------------| |
| | Culture (Мәҙәниәт) | 58 | 21.7% | |
| | Healthcare (Һаулыҡ һаҡлау) | 35 | 13.1% | |
| | Education (Мәғариф) | 32 | 12.0% | |
| | Social sphere (Социаль өлкә) | 25 | 9.4% | |
| | Politics (Сәйәсәт) | 25 | 9.4% | |
| | Sports (Спорт) | 21 | 7.9% | |
| | Military service (Хәрби хеҙмәт) | 18 | 6.7% | |
| | Economy (Иҡтисад) | 18 | 6.7% | |
| | Incidents (Ваҡиғалар) | 18 | 6.7% | |
| | Security (Хәүефһеҙлек) | 17 | 6.4% | |
|
|
| **Total**: 267 headlines (10 classes) |
|
|
|
|
| ## Format |
|
|
| The dataset is provided in CSV/JSON format with the following columns: |
|
|
| - `title`: Bashkir news headline (string) |
| - `topic`: topic label (string, one of the 10 classes) |
|
|
| ```json |
| { |
| "title": "Өфөлә мәктәптәрҙә яңы уҡыу йылы башланды", |
| "topic": "Education" |
| } |
| ``` |
|
|
| ## Splits |
|
|
| No fixed train/test split. Users are encouraged to create their own splits (e.g., 80/20) for reproducibility. |
| ## Intended Use |
|
|
| Task‑specific fine‑tuning of LLMs for topic classification |
| |
| Zero‑shot and few‑shot evaluation of Bashkir language understanding |
| |
| Benchmark for future Bashkir NLP work |
| |
| ## Licensing |
|
|
| MIT License |
| ## Citation |
| ```bibtex |
| |
| @misc{khudiakova2025bashqorttask, |
| author = {Khudiakova, Kseniia and Khatipov, Ilyas}, |
| title = {Bashqort Topic Classification: News Headlines with 10 Topics}, |
| year = {2025}, |
| howpublished = {Hugging Face Datasets}, |
| url = {https://huggingface.co/datasets/metuKKhud/bashqort-task} |
| } |
| ``` |
|
|
| ## Acknowledgements |
|
|
| Thanks to Ilyas Khatipov for native speaker validation and annotation. |
|
|
