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README.md

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-   <a href="https://www.kaggle.com/competitions/quora-question-pairs/data?select=test.csv.zip">from</a> translated to kz dataset
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-license: mit
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+## Kazakh Question Paraphrasing Dataset
+This dataset, designed for paraphrasing tasks in the Kazakh language, is a valuable resource for natural language processing applications. It aids in the development and evaluation of models capable of understanding and generating paraphrased content while preserving the original meaning.
+
+### Source and Translation Process
+The dataset was sourced from the Quora Question Pairs and has been expertly translated into Kazakh. This translation process involved initial machine translation followed by thorough revision by native Kazakh speakers, ensuring the nuances and contextual integrity of the language were maintained.
+
+### Usage and Application
+This dataset is primarily intended for researchers and developers in computational linguistics, focusing on the Kazakh language. It's an excellent tool for creating and fine-tuning paraphrasing algorithms, enhancing language models' understanding of semantic similarity and variation in Kazakh.
+
+### Acknowledgments and References
+Special thanks go to the original dataset providers and the team of linguists who meticulously adapted this dataset to suit the Kazakh linguistic context. Their contributions are invaluable in advancing language technologies for the Kazakh-speaking community.
+
+### Dataset Summary
+The dataset "CCRss/qqp-Quora_Question_Pairs-kz" is a rich collection of question pairs translated into Kazakh, suitable for training and evaluating natural language processing models. Each entry in the dataset contains a 'src' (source question) and 'trg' (target or paraphrased question), providing a comprehensive resource for understanding the nuances of question paraphrasing in Kazakh.
+
+### Acknowledgments and References
+We extend our gratitude to the original dataset providers at [https://www.kaggle.com/competitions/quora-question-pairs/data?select=test.csv.zip] and the team of linguists and translators who contributed to the adaptation of this dataset for the Kazakh language.