mlsanityData to 14 Oct 2026

MN-DS: A Multilabeled News Dataset for News Articles Hierarchical Classification

arXiv 2212.12061 ↗First posted 22 Dec 2022cs.CL cs.AI cs.LGcited by 8

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Abstract (arXiv)

This article presents a dataset of 10,917 news articles with hierarchical news categories collected between 1 January 2019 and 31 December 2019. We manually labeled the articles based on a hierarchical taxonomy with 17 first-level and 109 second-level categories. This dataset can be used to train machine learning models for automatically classifying news articles by topic. This dataset can be helpful for researchers working on news structuring, classification, and predicting future events based on released news.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 9 of its 29 references that are in the map. First posted on arXiv 22 Dec 2022.

Builds on

9 of 29 references.

References · 9

  1. 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,307
  2. 2020Data and its (dis)contents: A survey of dataset development and use in machine learning researchcited by 260
  3. 2022News Category Datasetcited by 43
  4. 2021NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articlescited by 29
  5. 2019NELA-GT-2018: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articlescited by 26
  6. 2021Media Cloud: Massive Open Source Collection of Global News on the Open Webcited by 20
  7. 2017DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Taggingcited by 5
  8. 2022Quantifying Political Bias in News Articlescited by 3
  9. 2017RIPML: A Restricted Isometry Property based Approach to Multilabel Learningcited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 3; 2025: 2; 2026: 2.

8 papers.