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license: cc0-1.0 |
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tags: |
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- kyrgyz |
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- common-crawl |
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- web-scraping |
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- text-corpus |
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- low-resource-languages |
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- nlp |
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- turkic-languages |
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language: |
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- ky |
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task_categories: |
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- text-generation |
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- fill-mask |
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- text-classification |
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size_categories: |
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- 100M<n<1B |
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pretty_name: Kyrgyz CommonCrawl Text Corpus |
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--- |
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# Kyrgyz CommonCrawl Dataset |
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A **271 MB** text corpus of Kyrgyz language data extracted from [CommonCrawl](https://commoncrawl.org/) — one of the largest openly available Kyrgyz text collections for NLP research. |
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--- |
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## Dataset Description |
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This dataset contains Kyrgyz-language web text scraped from CommonCrawl archives, filtered by the Kyrgyz language tag (`ky`). The data covers a wide range of domains including news, blogs, government sites, educational content, and general web pages. |
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**Why this matters:** Kyrgyz is a low-resource Turkic language spoken by ~7 million people. High-quality text corpora are essential for training language models, yet very few large-scale Kyrgyz datasets exist publicly. |
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--- |
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## Dataset Summary |
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| Property | Value | |
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|----------|-------| |
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| **Total size** | 271 MB | |
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| **Language** | Kyrgyz (ky) | |
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| **Format** | CSV | |
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| **Source** | CommonCrawl (filtered by `ky` language tag) | |
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| **Files** | 31 CSV files | |
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| **License** | CC0 (public domain) | |
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--- |
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## File Structure |
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| File | Size | Description | |
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|------|------|-------------| |
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| `data_MN.csv` | 29.6 MB | Large text segment | |
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| `data.csv` | 9.98 MB | General web text | |
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| `data_bilesinbi.csv` | 7.11 MB | Domain-specific data | |
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| `Merged file2.csv` | 1.66 MB | Merged text segments | |
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| `data_f.csv` | 703 kB | Filtered subset | |
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| `8april_final.csv` | 634 kB | Cleaned snapshot | |
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| `data.numbers` | 581 kB | Statistics/metadata | |
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| `bia.csv` | 37.6 kB | Small subset | |
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| `data_ecoproduct.csv` | 19.9 kB | Eco/product domain | |
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| ... | ... | Additional CSV files | |
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--- |
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## Use Cases |
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- **Language model pretraining** — Training or fine-tuning LLMs for Kyrgyz (e.g., GPT, BERT, LLaMA) |
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- **Text classification** — Building Kyrgyz text classifiers |
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- **Machine translation** — Source data for Kyrgyz ↔ other language pairs |
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- **Linguistic research** — Studying modern Kyrgyz web language usage |
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- **Punctuation / grammar models** — Training data for text normalization tools |
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- **NER & information extraction** — Building Kyrgyz entity recognizers |
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--- |
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## Data Collection |
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The data was collected by: |
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1. Querying CommonCrawl archives for pages tagged with the Kyrgyz language identifier (`ky`) |
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2. Extracting text content from the matched web pages |
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3. Cleaning and organizing into CSV format |
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4. Deduplication and quality filtering |
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--- |
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## Preprocessing Recommendations |
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Before using this dataset, consider: |
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- **Deduplication** — Web-crawled data often contains duplicate paragraphs across pages |
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- **Language verification** — Some pages may contain mixed-language content (Kyrgyz + Russian is common) |
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- **Quality filtering** — Remove boilerplate (navigation menus, footers, cookie notices) |
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- **Encoding normalization** — Ensure consistent Cyrillic encoding (UTF-8) |
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--- |
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## Limitations |
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- **Web-crawled data** may contain noise, boilerplate HTML artifacts, and mixed-language content |
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- **No manual curation** — quality varies across files |
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- **Potential duplicates** across different CSV files |
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- **Bias toward web-present content** — overrepresentation of news and government text, underrepresentation of informal speech |
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--- |
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## Related Resources |
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- 🤗 [Kyrgyz Punctuation Model](https://huggingface.co/Zarinaaa/punctuator_model) — Trained using data from this corpus |
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- 🤗 [Kyrgyz Morphological Analysis](https://huggingface.co/Zarinaaa/morphological_analysis) — BERT-based morphological tagger |
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--- |
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## Citation |
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```bibtex |
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@dataset{uvalieva2024kyrgyz_commoncrawl, |
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author = {Uvalieva, Zarina}, |
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title = {Kyrgyz CommonCrawl Text Corpus}, |
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year = {2024}, |
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url = {https://huggingface.co/datasets/Zarinaaa/commoncrawl_dataset} |
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} |
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``` |
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--- |
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## Author |
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**Zarina Uvalieva** — ML Engineer specializing in NLP for low-resource languages. |
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- 🤗 [HuggingFace](https://huggingface.co/Zarinaaa) |
