---
license: cc0-1.0
tags:
  - kyrgyz
  - common-crawl
  - web-scraping
  - text-corpus
  - low-resource-languages
  - nlp
  - turkic-languages
language:
  - ky
task_categories:
  - text-generation
  - fill-mask
  - text-classification
size_categories:
  - 100M<n<1B
pretty_name: Kyrgyz CommonCrawl Text Corpus
---

# Kyrgyz CommonCrawl Dataset

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.

---

## Dataset Description

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.

**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.

---

## Dataset Summary

| Property | Value |
|----------|-------|
| **Total size** | 271 MB |
| **Language** | Kyrgyz (ky) |
| **Format** | CSV |
| **Source** | CommonCrawl (filtered by `ky` language tag) |
| **Files** | 31 CSV files |
| **License** | CC0 (public domain) |

---

## File Structure

| File | Size | Description |
|------|------|-------------|
| `data_MN.csv` | 29.6 MB | Large text segment |
| `data.csv` | 9.98 MB | General web text |
| `data_bilesinbi.csv` | 7.11 MB | Domain-specific data |
| `Merged file2.csv` | 1.66 MB | Merged text segments |
| `data_f.csv` | 703 kB | Filtered subset |
| `8april_final.csv` | 634 kB | Cleaned snapshot |
| `data.numbers` | 581 kB | Statistics/metadata |
| `bia.csv` | 37.6 kB | Small subset |
| `data_ecoproduct.csv` | 19.9 kB | Eco/product domain |
| ... | ... | Additional CSV files |

---

## Use Cases

- **Language model pretraining** — Training or fine-tuning LLMs for Kyrgyz (e.g., GPT, BERT, LLaMA)
- **Text classification** — Building Kyrgyz text classifiers
- **Machine translation** — Source data for Kyrgyz ↔ other language pairs
- **Linguistic research** — Studying modern Kyrgyz web language usage
- **Punctuation / grammar models** — Training data for text normalization tools
- **NER & information extraction** — Building Kyrgyz entity recognizers

---

## Data Collection

The data was collected by:

1. Querying CommonCrawl archives for pages tagged with the Kyrgyz language identifier (`ky`)
2. Extracting text content from the matched web pages
3. Cleaning and organizing into CSV format
4. Deduplication and quality filtering

---

## Preprocessing Recommendations

Before using this dataset, consider:

- **Deduplication** — Web-crawled data often contains duplicate paragraphs across pages
- **Language verification** — Some pages may contain mixed-language content (Kyrgyz + Russian is common)
- **Quality filtering** — Remove boilerplate (navigation menus, footers, cookie notices)
- **Encoding normalization** — Ensure consistent Cyrillic encoding (UTF-8)

---

## Limitations

- **Web-crawled data** may contain noise, boilerplate HTML artifacts, and mixed-language content
- **No manual curation** — quality varies across files
- **Potential duplicates** across different CSV files
- **Bias toward web-present content** — overrepresentation of news and government text, underrepresentation of informal speech

---

## Related Resources

- 🤗 [Kyrgyz Punctuation Model](https://huggingface.co/Zarinaaa/punctuator_model) — Trained using data from this corpus
- 🤗 [Kyrgyz Morphological Analysis](https://huggingface.co/Zarinaaa/morphological_analysis) — BERT-based morphological tagger

---

## Citation

```bibtex
@dataset{uvalieva2024kyrgyz_commoncrawl,
  author = {Uvalieva, Zarina},
  title  = {Kyrgyz CommonCrawl Text Corpus},
  year   = {2024},
  url    = {https://huggingface.co/datasets/Zarinaaa/commoncrawl_dataset}
}
```

---

## Author

**Zarina Uvalieva** — ML Engineer specializing in NLP for low-resource languages.

- 🤗 [HuggingFace](https://huggingface.co/Zarinaaa)