MN-DS (Multilabeled News Dataset)

Introduced by Petukhova et al. in MN-DS: A Multilabeled News Dataset for News Articles Hierarchical Classification

Multilabeled News Dataset (MN-DS) is a dataset for news classification. It consists of 10,917 articles in 17 first-level and 109 second-level categories from 215 media sources.

Papers


Paper Code Results Date Stars

Dataset Loaders


No data loaders found. You can submit your data loader here.

Tasks


Similar Datasets


License


  • Unknown

Modalities


Languages