|
--- |
|
license: unknown |
|
task_categories: |
|
- text-generation |
|
language: |
|
- uk |
|
pretty_name: ukr-news |
|
size_categories: |
|
- 10M<n<100M |
|
tags: |
|
- news |
|
--- |
|
|
|
|
|
# Ukrainian News Dataset |
|
|
|
This is a dataset of news articles downloaded from various Ukrainian websites and Telegram channels. |
|
|
|
The dataset contains 22 567 099 JSON objects (news), total size ~67GB each with the following fields: |
|
|
|
```json |
|
title: The title of the news article |
|
text: The text of the news article, which may contain HTML tags(e.g., paragraphs, links, images, etc.) |
|
url: The URL of the news article |
|
datetime: The time of publication or when the article was parsed and added to the dataset |
|
owner: The name of the website that published the news article |
|
``` |
|
|
|
Count of news from websites: 16 022 416 |
|
|
|
Count of telegram posts: 6 544 683 |
|
|
|
The JSON objects are divided into parts, and the dataset is available for download via Hugging Face. The terms of use state that all data in this dataset is under the copyright of the owners of the respective websites. |
|
|
|
## Accessing the Dataset |
|
|
|
The dataset is available for download via the Hugging Face datasets library. You can install the library via pip: |
|
|
|
```bash |
|
pip install datasets |
|
``` |
|
Once you have installed the library, you can load the dataset using the following code: |
|
|
|
```python |
|
|
|
from datasets import load_dataset |
|
|
|
dataset = load_dataset('zeusfsx/ukrainian-news') |
|
``` |
|
|
|
This will load the entire dataset into memory. If you prefer to load only a subset of the data, you can specify the split argument: |
|
|
|
```python |
|
|
|
# Load only the first 10,000 examples from the "train" split |
|
dataset = load_dataset('zeusfsx/ukrainian-news', split='train[:10000]') |
|
``` |
|
|
|
## Contacts |
|
|
|
If you have any questions or comments about this dataset, please contact me at email [zeusfsxtmp@gmail.com]. I will do our best to respond to your inquiry as soon as possible. |
|
|
|
## License |
|
|
|
The dataset is made available under the terms of use specified by the owners of the respective websites. Please consult the individual websites for more information on their terms of use. |