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--- |
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task_categories: |
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- text-classification |
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language: |
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- ba |
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- kk |
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- ky |
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size_categories: |
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- 100K<n<1M |
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--- |
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## Description |
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A dataset with texts and the categories to which these texts belong. |
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## Usage |
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This dataset can be used to check language models for the correct classification of texts by category. |
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## Dataset structure: |
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- **lang**: the language to which the text source belongs; |
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- **title**: the title of the text; |
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- **original_text**: original text taken from a web page; |
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- **processed_text**: processed text using preprocessing functions; |
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- **category**: the category to which the text belongs; |
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- **processed**: flag indicating that one or more sentence has been deleted from the text; |
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- **url**: link to the source; |
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- **date**: date of publication of the text; |
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## The creation process |
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This dataset was obtained by parsing news resources of countries and regions of native speakers of Turkic languages, such as Bashkir, Kazakh and Kyrgyz. |
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During parsing, it was a priori believed that the language of the articles was written in the language of the region about which the news was written. |
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After parsing, the text of the articles was processed through the preprocessing functions described on [github](https://github.com/Electrotubbie/turk_langs_analyse ). |
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The scheme of text preprocessing and validation is as follows: |
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- cleaning the text from unnecessary constructions using regular expressions; |
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- splitting text into sentences using the sentenize function of the razdel module; |
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- making predictions for each sentence using the lid.176.bin model, as well as the fasttext module; |
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- deleting sentences written in non-Turkic languages; |
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- combining valid sentences into text and getting the processed_text column. |
