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--- |
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license: cc-by-4.0 |
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dataset_info: |
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features: |
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- name: folder |
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dtype: string |
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- name: title |
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dtype: string |
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- name: text |
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dtype: string |
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- name: title_len |
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dtype: int64 |
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- name: text_len |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 1126829322 |
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num_examples: 512750 |
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download_size: 590025488 |
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dataset_size: 1126829322 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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task_categories: |
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- text-generation |
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language: |
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- uz |
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pretty_name: Uzbek News Articles |
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size_categories: |
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- 100K<n<1M |
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--- |
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This is an Uzbek News Dataset with 512,750 articles (120 million words and in the Latin script) scraped from the web in 2023. |
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I combined and uploaded the dataset in this HF repo so that the community can fine-tune LLMs based on the Uzbek language. |
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--- |
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``` |
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@proceedings{kuriyozov_elmurod_2023_7677431, |
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title = {{Text classification dataset and analysis for Uzbek |
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language}}, |
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year = 2023, |
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publisher = {Zenodo}, |
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month = feb, |
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doi = {10.5281/zenodo.7677431}, |
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url = {https://doi.org/10.5281/zenodo.7677431} |
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} |
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``` |
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Github: [github](https://github.com/elmurod1202/TextClassification) |
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Arxiv: https://arxiv.org/ftp/arxiv/papers/2302/2302.14494.pdf |
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Original dataset was created by scraping the Internet. |
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From the authors: |
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The dataset consists text data from 9 Uzbek news websites and press portals that included news articles and press releases. |
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These websites were selected to cover various categories such as politics, sports, entertainment, technology, and others. |
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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. |
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It is worth noting that all the text in the corpus is written in the Latin script. |
