|
--- |
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language: |
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- ru |
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size_categories: |
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- 10K<n<100K |
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task_categories: |
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- text-classification |
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pretty_name: Classified well-balanced russian-language news for 2019-2024 |
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dataset_info: |
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features: |
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- name: news |
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dtype: string |
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- name: labels |
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dtype: int32 |
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splits: |
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- name: train |
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num_bytes: 132863829.81185599 |
|
num_examples: 57530 |
|
- name: test |
|
num_bytes: 33217112.188144006 |
|
num_examples: 14383 |
|
download_size: 86321663 |
|
dataset_size: 166080942.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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tags: |
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- russian |
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- news |
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- media |
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--- |
|
|
|
This is a dataset for training models on the task of multiclass classification of news texts in Russian. |
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It consists of a set of news items for the last 5 years and is well balanced. |
|
|
|
|
|
|
|
``` |
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categories_translator = |
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{'climate': 0, |
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'conflicts': 1, |
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'culture': 2, |
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'economy': 3, |
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'gloss': 4, |
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'health': 5, |
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'politics': 6, |
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'science': 7, |
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'society': 8, |
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'sports': 9, |
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'travel': 10} |
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``` |