File size: 2,054 Bytes
3f647d4 1acf002 4c56a77 3f647d4 b475cab 13e715a 784fac7 b475cab 784fac7 13e715a 784fac7 13e715a b475cab 1acf002 b475cab 1acf002 cacc0ab 1acf002 b475cab |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
---
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 [[email protected]]. 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. |