mlsanityData to 14 Oct 2026

News Category Dataset

arXiv 2209.11429 ↗First posted 23 Sep 2022cs.CLcited by 43

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Abstract (arXiv)

People rely on news to know what is happening around the world and inform their daily lives. In today's world, when the proliferation of fake news is rampant, having a large-scale and high-quality source of authentic news articles with the published category information is valuable to learning authentic news' Natural Language syntax and semantics. As part of this work, we present a News Category Dataset that contains around 210k news headlines from the year 2012 to 2022 obtained from HuffPost, along with useful metadata to enable various NLP tasks. In this paper, we also produce some novel insights from the dataset and describe various existing and potential applications of our dataset.

Key facts. Cited by 43 papers in the map (data through 14 Oct 2026). Builds on 2 of its 5 references that are in the map. First posted on arXiv 23 Sep 2022.

Builds on

2 of 5 references.

References · 2

  1. 2019Sarcasm Detection using Hybrid Neural Networkcited by 23
  2. 2022News Headlines Dataset For Sarcasm Detectioncited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 6; 2023: 13; 2024: 12; 2025: 7; 2026: 5.

43 papers.

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  1. 2023LaMP: When Large Language Models Meet Personalizationcited by 437
  2. 2022Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Timecited by 90
  3. 2023Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detectioncited by 29
  4. 2024Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advancescited by 26
  5. 2024Optimizing Language Model's Reasoning Abilities with Weak Supervisioncited by 15
  6. 2023Effective Structured Prompting by Meta-Learning and Representative Verbalizercited by 14
  7. 2024Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scalecited by 14
  8. 2024Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architecturescited by 12
  9. 2024A Cross-Domain Benchmark for Active Learningcited by 12
  10. 2023Temporal Robustness against Data Poisoningcited by 10
  11. 2023Federated Few-shot Learningcited by 9
  12. 2022MN-DS: A Multilabeled News Dataset for News Articles Hierarchical Classificationcited by 8
31 more
  1. 2025TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generationcited by 8
  2. 2024Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processingcited by 7
  3. 2022Holistic Sentence Embeddings for Better Out-of-Distribution Detectioncited by 6
  4. 2023A New Dialogue Response Generation Agent for Large Language Models by Asking Questions to Detect User's Intentionscited by 6
  5. 2024A diverse Multilingual News Headlines Dataset from around the Worldcited by 6
  6. 2024LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic Classificationcited by 6
  7. 2025What's Producible May Not Be Reachable: Measuring the Steerability of Generative Modelscited by 6
  8. 2023Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Taskscited by 5
  9. 2023Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformerscited by 5
  10. 2024Automatic Combination of Sample Selection Strategies for Few-Shot Learningcited by 5
  11. 2022PCFG-based Natural Language Interface Improves Generalization for Controlled Text Generationcited by 4
  12. 2024Iterative Mask Filling: An Effective Text Augmentation Method Using Masked Language Modelingcited by 4
  13. 2025Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Modelscited by 4
  14. 2022Learning Label Modular Prompts for Text Classification in the Wildcited by 3
  15. 2023TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformationcited by 3
  16. 2023Sobol Sequence Optimization for Hardware-Efficient Vector Symbolic Architecturescited by 3
  17. 2025SNaRe: Domain-aware Data Generation for Low-Resource Event Detectioncited by 3
  18. 2022Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clusteringcited by 2
  19. 2023Detecting out-of-distribution text using topological features of transformer-based language modelscited by 2
  20. 2026Preference-Aware Rubric Learning for Personalized Evaluationcited by 2
  21. 2026Learning the Signature of Memorization in Autoregressive Language Modelscited by 1
  22. 2023Towards One-Shot Learning for Text Classification using Inductive Logic Programmingcited by 0
  23. 2023Towards Comparable Active Learningcited by 0
  24. 2024Advancing NLP Models with Strategic Text Augmentation: A Comprehensive Study of Augmentation Methods and Curriculum Strategiescited by 0
  25. 2024Graph Language Model (GLM): A new graph-based approach to detect social instabilitiescited by 0
  26. 2025Political Events using RAG with LLMscited by 0
  27. 2025Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classificationcited by 0
  28. 2025Temporal Generalization: A Reality Checkcited by 0
  29. 2026The Alchemy of Thought: Understanding In-Context Learning Through Supervised Classificationcited by 0
  30. 2026Beyond Logit Adjustment: A Residual Decomposition Framework for Long-Tailed Rerankingcited by 0
  31. 2026FleetPilot: Fine-Grained Steering Empowers Real-World LLM Personalizationcited by 0