Datasets:

Zarinaaa
/

commoncrawl_dataset

Error code:   FeaturesError
Exception:    ParserError
Message:      Error tokenizing data. C error: Expected 1 fields in line 11, saw 3

Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 544, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/csv/csv.py", line 198, in _generate_tables
                  for batch_idx, df in enumerate(csv_file_reader):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
                  return self.get_chunk()
                         ^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
                  return self.read(nrows=size)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1923, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
                File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
              pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 11, saw 3

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Kyrgyz CommonCrawl Dataset

A 271 MB text corpus of Kyrgyz language data extracted from CommonCrawl — 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:

Querying CommonCrawl archives for pages tagged with the Kyrgyz language identifier (ky)
Extracting text content from the matched web pages
Cleaning and organizing into CSV format
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 — Trained using data from this corpus
🤗 Kyrgyz Morphological Analysis — BERT-based morphological tagger

Citation

@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

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