edit readme

README.md

@@ -7,4 +7,32 @@ language:
 - ky
 size_categories:
 - 100K<n<1M
----
+---
+
+## Description
+A dataset with texts and the categories to which these texts belong.
+
+## Usage
+This dataset can be used to check language models for the correct classification of texts by category.
+
+## Dataset structure:
+**lang**: the language to which the text source belongs;
+**title**: the title of the text;
+**original_text**: original text taken from a web page;
+**processed_text**: processed text using preprocessing functions;
+**category**: the category to which the text belongs;
+**processed**: flag indicating that one or more sentence has been deleted from the text;
+**url**: link to the source;
+**date**: date of publication of the text;
+
+## The creation process
+This dataset was obtained by parsing news resources of countries and regions of native speakers of Turkic languages, such as Bashkir, Kazakh and Kyrgyz.
+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.
+After parsing, the text of the articles was processed through the preprocessing functions described on [github](https://github.com/Electrotubbie/turk_langs_analyse ).
+
+The scheme of text preprocessing and validation is as follows:
+- cleaning the text from unnecessary constructions using regular expressions;
+- splitting text into sentences using the sentenize function of the razdel module;
+- making predictions for each sentence using the lid.176.bin model, as well as the fasttext module;
+- deleting sentences written in non-Turkic languages;
+- combining valid sentences into text and getting the processed_text column.