README.md

---
license: apache-2.0
configs:
- config_name: default
  data_files:
  - split: news
    path: data/news-*
  - split: telegram_blogs
    path: data/telegram_blogs-*
dataset_info:
  features:
  - name: text
    dtype: string
  - name: timestamp
    dtype: string
  - name: source
    dtype: string
  splits:
  - name: news
    num_bytes: 3272404822
    num_examples: 964268
  - name: telegram_blogs
    num_bytes: 248666870
    num_examples: 227337
  download_size: 1581389108
  dataset_size: 3521071692
annotations_creators:
- no-annotation
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
multilinguality:
- monolingual
language:
- uz
size_categories:
- 1M<n<10M
pretty_name: UzCrawl
tags:
- uz
- crawl
- telegram_blogs
---

# Dataset Card for UzCrawl

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [https://tahrirchi.uz/grammatika-tekshiruvi](https://tahrirchi.uz/grammatika-tekshiruvi)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 3.52 GB
- **Size of the generated dataset:** 1.58 GB
- **Total amount of disk used:** 5.1 GB

### Dataset Summary

In an effort to democratize research on low-resource languages, we release UzCrawl dataset, a web and telegram crawl corpus consisting of materials from nearly 1.2 million unique sources in Uzbek Language. 

Please refer to our [blogpost](https://tahrirchi.uz/grammatika-tekshiruvi) and paper (Coming soon!) for further details.

To load and use dataset, run this script:

```python
from datasets import load_dataset

uz_crawl=load_dataset("tahrirchi/uz-crawl")
```

## Dataset Structure

### Data Instances

#### plain_text

- **Size of downloaded dataset files:** 16.98 GB
- **Size of the generated dataset:** 32.95 GB
- **Total amount of disk used:** 49.93 GB

An example of 'news' looks as follows.
```
{
    'text': "O‘zbekiston Respublikasi Vazirlar Mahkamasining 2019 yil 24 iyuldagi 620-son qarori bilan tasdiqlangan «Xorijiy davlatlarda ta'lim olganlik to‘g‘risidagi hujjatlarni tan olish tartibi to‘g‘risida»gi Nizom ijrosini ta'minlash maqsadida Ta'lim sifatini nazorat qilish davlat inspeksiyasida (Toshkent shahar, Chilonzor tumani, Nurxon ko‘chasi, 21-uy) 2019 yil 9 –14 sentabr kunlari sohalar bo‘yicha sinov testlari bo‘lib o‘tishi rejalashtirilgan.\nTa'lim sifatini nazorat qilish davlat inspeksiyasi matbuot xizmati xabariga\xa0ko‘ra, «Huquqshunoslik», «Sog‘liqni saqlash va ijtimoiy ta'minot», «Iqtisodiyot», «Qishloq xo‘jaligi, muhandislik, ishlov berish va qurilish» hamda «O‘qituvchilar tayyorlash va pedagogik fanlar» sohalari bo‘yicha sinov testlari o‘tkaziladigan sanasi va sinov testida ishtirok etuvchilar ro‘yxati jadvalga muvofiq belgilanadi.\nTa'lim sifatini nazorat qilish davlat inspeksiyasi ogohlantirishicha, xorijiy davlatlarda ta'lim olganlik to‘g‘risidagi hujjatlarni tan olish uchun belgilangan sinov testlariga o‘z vaqtida kelmagan, sinov testida ishtirok etuvchilar ro‘yxatida mavjud bo‘lmagan talabgorlarga sinovlarga kirishga ruxsat etilmaydi.",
    'timestamp': '2019-06-09',
    'source': 'https://kun.uz/uz/news/2019/09/06/xorijda-talim-olganlik-togrisidagi-hujjatlarni-tan-olish-uchun-testlar-otkaziladigan-kunlar-malum-boldi'
}
```


### Data Fields

The data fields are the same among all splits.

- `text`: a `string` feature that contains text.
- 'timestamp': a `string` feature that contains timestamp of the material.
- 'source': a `string` feature that contains url of the material.

### Data Splits

| name            |         |
|-----------------|--------:|
| news            | 964268  |
| telegram_blogs  | 227337  |

## Dataset Creation

The news portion have been crawled from 21 different websites using [Scrapy](https://scrapy.org/) framework. And telegram_blogs portion is consisted of manually curated texts from 81 high-quality Telegram channels.


## Citation

Please cite this model using the following format:

```
@online{Mamasaidov2023UzBooks,
    author    = {Mukhammadsaid Mamasaidov and Abror Shopulatov},
    title     = {UzCrawl dataset},
    year      = {2023},
    url       = {https://huggingface.co/datasets/tahrirchi/uz-crawl},
    note      = {Accessed: 2023-10-28}, % change this date
    urldate   = {2023-10-28} % change this date
}
```

## Gratitude

We are thankfull for these awesome organizations and people for help to make it happen:

 - [Asadbek Kiyomov](https://www.linkedin.com/in/asadbey): for his works on the beginning of the project.
 - [Ilya Gusev](https://github.com/IlyaGusev/): for his advise throughout the process 
 - [David Dale](https://daviddale.ru): for his advise throughout the process

## Contacts

We believe that this work will inspire all enthusiasts around the world to open the hidden beauty of low resource languages, in particular of Uzbek. 

For further development and issues about the dataset, please use [email protected] or [email protected] to contact.