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--- |
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dataset_info: |
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features: |
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- name: url |
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dtype: string |
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- name: text |
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dtype: string |
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- name: title |
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dtype: string |
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- name: source |
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dtype: string |
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- name: timestamp |
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dtype: uint64 |
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splits: |
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- name: train |
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num_bytes: 12858731888 |
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num_examples: 4137525 |
|
download_size: 3669747077 |
|
dataset_size: 12858731888 |
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task_categories: |
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- text-generation |
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language: |
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- ru |
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size_categories: |
|
- 1M<n<10M |
|
--- |
|
|
|
# RuNews dataset |
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|
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Description](#description) |
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- [Usage](#usage) |
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- [Data Instances](#data-instances) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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|
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## Description |
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|
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**Summary:** Dataset of news from several sources: |
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* [Lenta.ru by yutkin](https://github.com/yutkin/Lenta.Ru-News-Dataset) |
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* [Several sources by buriy](https://github.com/buriy/russian-nlp-datasets/releases) |
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* [ODS Newsviz Tass](https://github.com/newsviz/newsviz) |
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* [Taiga fontanka](https://tatianashavrina.github.io/taiga_site/) |
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* [News from Telegram contest](https://github.com/IlyaGusev/tgcontest) |
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|
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**Script:** [create_ru_news.py](https://github.com/IlyaGusev/rulm/blob/master/data_processing/create_ru_news.py) |
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|
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**Point of Contact:** [Ilya Gusev]([email protected]) |
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|
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**Languages:** Russian. |
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## Usage |
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|
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Prerequisites: |
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```bash |
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pip install datasets zstandard jsonlines pysimdjson |
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``` |
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|
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Dataset iteration: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset('IlyaGusev/ru_news', split="train", streaming=True) |
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for example in dataset: |
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print(example["text"]) |
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``` |
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|
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## Data Instances |
|
|
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``` |
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{ |
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"title": "Заместитель главы района в Якутии пожаловался на пьянство начальника", |
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"text": "Заместитель главы Нерюнгринского района Якутии Геннадий Ленц пожаловался руководителю республики Егору Борисову на своего начальника. Как рассказал Ленц 'Интерфаксу', Андрей Фитисов пьет на рабочем месте и 'уходит в многодневные загулы'...", |
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"timestamp": 1346284800, |
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"url": "https://lenta.ru/news/2012/08/30/alco/", |
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"source": "lenta" |
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} |
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``` |
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## Personal and Sensitive Information |
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|
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The dataset is not anonymized, so individuals' names can be found in the dataset. Information about the original authors is included in the dataset where possible. |
