Datasets:

murodbek
/

uz-text-classification

@@ -75,9 +75,9 @@ size_categories:
 ## Dataset Description
-- **Homepage:** [http://groups.di.unipi.it/~gulli/AG_corpus_of_news_articles.html](http://groups.di.unipi.it/~gulli/AG_corpus_of_news_articles.html)
 - **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:** 593 MB
 - **Size of the generated dataset:** 522 MB
@@ -86,7 +86,8 @@ size_categories:
 ### Dataset Summary
 Multi-label text classification dataset for Uzbek language and some sourcode for analysis. This repository contains the code and dataset used for text classification analysis for the Uzbek language. The dataset consists text data from 9 Uzbek news websites and press portals that included news articles and press releases. These websites were selected to cover various categories such as politics, sports, entertainment, technology, and others. In total, we collected 512,750 articles with over 120 million words accross 15 distinct categories, which provides a large and diverse corpus for text classification. It is worth noting that all the text in the corpus is written in the Latin script.
-Please refer to our [paper](https://arxiv.org/pdf/2302.14494) and [GitHub repository](https://github.com/elmurod1202/TextClassification) for further details.
 Disclaimer: The team releasing UzTextClassification did not write this model card. This is HuggingFace version of the dataset that is created for mainly easy to access usage. The original dataset files can be accessed and downloaded from https://doi.org/10.5281/zenodo.7677431

 ## Dataset Description
+- **Homepage:** [https://github.com/elmurod1202/TextClassification](https://github.com/elmurod1202/TextClassification)
 - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Paper:** [https://arxiv.org/pdf/2302.14494](https://arxiv.org/pdf/2302.14494)
 - **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:** 593 MB
 - **Size of the generated dataset:** 522 MB
 ### Dataset Summary
 Multi-label text classification dataset for Uzbek language and some sourcode for analysis. This repository contains the code and dataset used for text classification analysis for the Uzbek language. The dataset consists text data from 9 Uzbek news websites and press portals that included news articles and press releases. These websites were selected to cover various categories such as politics, sports, entertainment, technology, and others. In total, we collected 512,750 articles with over 120 million words accross 15 distinct categories, which provides a large and diverse corpus for text classification. It is worth noting that all the text in the corpus is written in the Latin script.
+Please refer to [paper](https://arxiv.org/pdf/2302.14494) and [GitHub repository](https://github.com/elmurod1202/TextClassification) for further details.
 Disclaimer: The team releasing UzTextClassification did not write this model card. This is HuggingFace version of the dataset that is created for mainly easy to access usage. The original dataset files can be accessed and downloaded from https://doi.org/10.5281/zenodo.7677431