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@@ -215,8 +215,11 @@ multi-class and multi-label classification.
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  <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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- [More Information Needed]
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  ## Citation
 
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  <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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+ The dataset consists of 10,048 headlines in 15 languages annotated with 23 topic labels for LOW-LEVEL and 6 HIGH-LEVEL topics for multi-class.
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+ The dataset has been further stratified into two subsets:
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+ 1. **only_english**: that contains only English training data.
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+ 2. **high_resources:** a subset that contains 5 high-resource languages (i.e., English, Turkish, Danish, Spanish, Poland).
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  ## Citation