Datasets:

aband22
/

georgian_url_filtered_text

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
duplicate_urls: list<item: string>
stats: struct<total_processed: int64, total_with_text: int64, unique_texts: int64, duplicates_removed: int64, duplicate_rate: string>
vs
url: string
text: string
text_length: int64
word_count: int64
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3357, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2111, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2315, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 520, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              duplicate_urls: list<item: string>
              stats: struct<total_processed: int64, total_with_text: int64, unique_texts: int64, duplicates_removed: int64, duplicate_rate: string>
              vs
              url: string
              text: string
              text_length: int64
              word_count: int64

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Georgian URL-Filtered Web Text Corpus

This dataset contains high-quality Georgian-language text extracted from Common Crawl. It was created to support research and model training.

Dataset Summary

The corpus is built from Georgian web pages identified using Common Crawl metadata. HTML content was extracted and cleaned using trafilatura, followed by quality filtering (e.g., language ID checks, text heuristics) and document-level deduplication with MinHash.

Structure

Each entry contains:

url: Source URL
text: Cleaned plain text content

Processing Steps

Filtered Common Crawl WARC indexes for Georgian-language pages
Downloaded and parsed HTML from selected WARC records
Extracted visible text using trafilatura
Applied quality filters to remove low-quality content
Removed near-duplicates using MinHash
Exported as a cleaned JSON/JSONL corpus

Intended Use

This dataset is suitable for:

Pretraining/fine-tuning Georgian language models
Text classification or generation tasks
Language modeling and web-based NLP benchmarks

Limitations

Some noise may persist due to the nature of web data. Use responsibly, especially when training generative models. The dataset may reflect social biases present in online content.

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