Datasets:
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README.md
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num_examples: 39712
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download_size: 16984559355
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dataset_size: 32950369201
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---
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# Dataset Card for "uz-books"
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num_examples: 39712
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download_size: 16984559355
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dataset_size: 32950369201
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annotations_creators:
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- no-annotation
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task_categories:
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- text-generation
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- fill-mask
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task_ids:
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- language-modeling
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- masked-language-modeling
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multilinguality:
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- monolingual
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language:
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- uz
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size_categories:
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- 10M<n<100M
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pretty_name: UzBooks
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license: apache-2.0
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tags:
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- uz
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- books
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---
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# Dataset Card for BookCorpus
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:** [https://yknzhu.wixsite.com/mbweb](https://yknzhu.wixsite.com/mbweb)
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Size of downloaded dataset files:** 16.98 GB
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- **Size of the generated dataset:** 32.95 GB
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- **Total amount of disk used:** 49.93 GB
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### Dataset Summary
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In an effort to democratize research on low, we release UzBooks dataset, a cleaned book corpus consisting of nearly 40000 books in Uzbek Language is divided into two branches: "original" and "lat," representing the OCRed and Latin-script versions of the texts.
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Please refer to our [blogpost](https://tahrirchi.uz/grammatika-tekshiruvi) and paper (Coming soon!) for further details.
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To load and use dataset, run this script:
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```python
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from datasets import load_dataset
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load_dataset("tahrirchi/uz-books")
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```
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## Dataset Structure
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### Data Instances
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#### plain_text
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- **Size of downloaded dataset files:** 16.98 GB
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- **Size of the generated dataset:** 32.95 GB
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- **Total amount of disk used:** 49.93 GB
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An example of 'train' looks as follows.
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```
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{
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"text": "Hamsa\nAlisher Navoiy ..."
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}
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```
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### Data Fields
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The data fields are the same among all splits.
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#### plain_text
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- `text`: a `string` feature that contains text of the books.
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### Data Splits
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| name | |
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|-----------------|--------:|
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| original | 39712 |
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| lat | 39712 |
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## Dataset Creation
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The books have been crawled from various internet sources and preprocessed using Optical Character Recognition techniques in [Tesseract OCR Engine](https://github.com/tesseract-ocr/tesseract). The latin version is created by converting the original dataset with highly curated scripts in order to put more emphasise on the research and development of the field.
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## Citation
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Please cite this model using the following format:
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```
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@online{Mamasaidov2023UzBooks,
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author = {Mukhammadsaid Mamasaidov and Abror Shopulatov},
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title = {UzBooks dataset},
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year = {2023},
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url = {https://huggingface.co/datasets/tahrirchi/uz-books},
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note = {Accessed: 2023-10-28}, % change this date
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urldate = {2023-10-28} % change this date
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}
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```
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## Contacts
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We believe that this work will enable and inspire all enthusiasts around the world to open the hidden beauty of low resource languages, in particular Uzbek.
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For further development and issues about the dataset, please use [email protected] email to contact.
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