RusLangNet / README.md
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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

RusLangNet

tags: Natural Language Processing, Russian Text, Network Analysis

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'RusLangNet' dataset is a curated collection of Russian text data extracted from various online platforms, with the aim of facilitating research in natural language processing (NLP) and network analysis. The texts are sourced from social media, news articles, forums, and other websites that have contributed to the linguistic diversity of the Russian language. The dataset has been preprocessed to ensure quality text content and includes a 'labels' column, which indicates the potential application or sentiment of the text, such as 'Informative', 'Opinion', 'Dialogue', 'News', 'Blog', 'Slang', 'Critical', etc. The purpose of these labels is to help researchers and ML practitioners quickly identify the type of text they are dealing with and to train models for tasks like sentiment analysis, topic classification, and language modeling.

CSV Content Preview:

id,text,labels
1,"Информация о новом проекте инвестиций. Компания «Метроновые», созданная кредитной организацией «Сибирский банк», внесет в город потерями, - сказал Евгений Минкин, директор менеджера глобальной клиенториста.",Informative,News
2,"Два месяца назад в Минске в одном адреснойabloкак бросили в потеря новые квартиры. Подозреваемо, это балуется...",Critical,Dialogue
3,"Текст содержит сеанс вебинара о политике промышленности в России",Opinion,News
4,"Пример англоязычного текста на русском языке",Blog,Slang
5,"Тема: Религиозные церемонии и традиции в Республике Татарстан",Informative,News

This preview shows five rows from the 'RusLangNet' dataset, with each row containing an 'id' (unique identifier), the 'text' field with a sample of Russian text, and the 'labels' indicating the type or context of the text. The dataset offers a broad range of content to support various NLP tasks related to the Russian language.

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'russian':