bekan/karakalpak_corpus_v2_m

Karakalpak Monolingual Text Corpus (Kaa-Corpus) v2.0

Dataset Summary

This dataset is a large-scale monolingual Karakalpak text corpus created for training and evaluating Natural Language Processing (NLP) systems and Large Language Models (LLMs).

The corpus contains millions of sentences collected from various high-quality written sources in Standard Karakalpak (Latin script).

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Data Format

The dataset is distributed in JSON Lines (.jsonl) format.

Each line contains one text entry:

{"text": "Til bar jerde ǵana insan jámiyeti jasaydı."}

Encoding: UTF-8

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Dataset Statistics

Metric	Value
Sentences	~135,667
Words	~2,200,000 (estimated)
Language	Karakalpak (Latin script)

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Data Sources

The corpus was compiled from publicly available and written materials including:

• literary texts
• educational materials
• news and public domain documents

All texts were normalized and converted into sentence-level format.

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Preprocessing

The following preprocessing steps were applied:

• whitespace normalization
• removal of technical artifacts
• sentence-level formatting
• conversion to JSONL format

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Usage

Load the dataset with the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("bekan/karakalpak_corpus_v2_m")

print(dataset["train"][0])