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@@ -19,7 +19,131 @@ dataset_info:
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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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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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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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+
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+ ## Dataset Description
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+
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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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+
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+ ### Dataset Summary
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+
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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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+
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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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+
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+ To load and use dataset, run this script:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ load_dataset("tahrirchi/uz-books")
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+ ```
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ #### plain_text
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+
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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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+
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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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+
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+ ### Data Fields
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+
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+ The data fields are the same among all splits.
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+
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+ #### plain_text
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+ - `text`: a `string` feature that contains text of the books.
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+
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+ ### Data Splits
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+
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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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+
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+ ## Dataset Creation
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+
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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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+
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+
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+ ## Citation
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+
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+ Please cite this model using the following format:
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+
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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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+
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+
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+ ## Contacts
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+
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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.