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farabi-lab/
Identification-of-paraphrasing

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	🇰🇿 Identification of Paraphrasing in Kazakh Context




	


	Dataset Summary

Identification of Paraphrasing in Kazakh Context is a targeted dataset designed to train Large Language Models (LLMs) and embeddings to detect semantic equivalence between two distinct Kazakh texts.

	📊 Dataset Statistics




	


	General Metrics

Metric Count

Total Samples 2,000

Total Words (approx.) 184,465

Avg. Words per Sample 92

	Word Count… See the full description on the dataset page: https://huggingface.co/datasets/farabi-lab/Identification-of-paraphrasing.