Datasets:
metadata
language:
- ru
size_categories:
- 10K<n<100K
task_categories:
- text-classification
pretty_name: Classified well-balanced russian-language news for 2019-2024
dataset_info:
features:
- name: news
dtype: string
- name: labels
dtype: int32
splits:
- name: train
num_bytes: 132863829.81185599
num_examples: 57530
- name: test
num_bytes: 33217112.188144006
num_examples: 14383
download_size: 86321663
dataset_size: 166080942
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
tags:
- russian
- news
- media
This is a dataset for training models on the task of multiclass classification of news texts in Russian. It consists of a set of news items for the last 5 years and is well balanced.
categories_translator =
{'climate': 0,
'conflicts': 1,
'culture': 2,
'economy': 3,
'gloss': 4,
'health': 5,
'politics': 6,
'science': 7,
'society': 8,
'sports': 9,
'travel': 10}