task_categories:text-classification task_categories:summarization task_ids:topic-classification task_ids:news-articles-summarization annotations_creators:crowdsourced multilinguality:monolingual source_datasets:original language:ru license:cc0-1.0 size_categories:10K<n<100K format:json modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
annotations_creators:
- crowdsourced
language:
- ru
license:
- cc0-1.0
multilinguality:
- monolingual
pretty_name: 24gadget.ru Tech News
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
- summarization
task_ids:
- topic-classification
- news-articles-summarization
---

# Dataset Card for 24gadget.ru

### Dataset Summary

This dataset contains articles scraped from [24gadget.ru](https://24gadget.ru/), a Russian technology news website. Each entry in the dataset represents an article from the website, including its title, content, URL, publication date, and view count. The dataset contains 36,582 unique articles covering various topics in technology and gadgets.

### Languages

The dataset is primarily in Russian.

## Dataset Structure

### Data Fields

This dataset includes the following fields:

- `url`: URL of the article (string)
- `title`: Title of the article (string)
- `date`: Publication date of the article (string)
- `views`: Number of views for the article (string)
- `content`: Main content of the article (string)

### Data Splits

All examples are in a single split.

## Additional Information

### License

This dataset is dedicated to the public domain under the Creative Commons Zero (CC0) license. This means you can:

* Use it for any purpose, including commercial projects.
* Modify it however you like.
* Distribute it without asking permission.

No attribution is required, but it's always appreciated!

CC0 license: https://creativecommons.org/publicdomain/zero/1.0/deed.en

To learn more about CC0, visit the Creative Commons website: https://creativecommons.org/publicdomain/zero/1.0/

### Dataset Curators

- [nyuuzyou](https://ducks.party)
