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+ ---
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+ language:
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+ - en
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+ - ar
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+ - fr
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+ - hi
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+ - ur
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+ - pt
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+ - fa
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+ - ps
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+ - es
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+ - ko
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+ - ta
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+ - tr
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+ - et
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+ - ru
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+ - ro
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+ - zh
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+ - sv
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+ - la
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+ - id
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+ - nl
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+ - ja
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+ - th
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+ ---
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+
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+ > [!NOTE]
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+ > Dataset origin: https://www.kaggle.com/datasets/zarajamshaid/language-identification-datasst
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+
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+ ## Context
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+ WiLI-2018, the Wikipedia language identification benchmark dataset, contains 235000 paragraphs of 235 languages.
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+ Each language in this dataset contains 1000 rows/paragraphs.
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+
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+ After data selection and preprocessing I used the 22 selective languages from the original dataset