# News Category Dataset

arXiv: https://arxiv.org/abs/2209.11429 · HTML: https://mlsanity.com/paper/2209.11429/

## 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 (most cited first, 2 of 2)

- [Sarcasm Detection using Hybrid Neural Network](https://mlsanity.com/paper/1908.07414/) (2019)
- [News Headlines Dataset For Sarcasm Detection](https://mlsanity.com/paper/2212.06035/) (2022)

## Built on by (most cited first, 30 of 43)

- [LaMP: When Large Language Models Meet Personalization](https://mlsanity.com/paper/2304.11406/) (2023)
- [Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time](https://mlsanity.com/paper/2211.14238/) (2022)
- [Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection](https://mlsanity.com/paper/2305.13282/) (2023)
- [Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances](https://mlsanity.com/paper/2409.11884/) (2024)
- [Optimizing Language Model's Reasoning Abilities with Weak Supervision](https://mlsanity.com/paper/2405.04086/) (2024)
- [Effective Structured Prompting by Meta-Learning and Representative Verbalizer](https://mlsanity.com/paper/2306.00618/) (2023)
- [Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale](https://mlsanity.com/paper/2411.05045/) (2024)
- [Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures](https://mlsanity.com/paper/2405.04700/) (2024)
- [A Cross-Domain Benchmark for Active Learning](https://mlsanity.com/paper/2408.00426/) (2024)
- [Temporal Robustness against Data Poisoning](https://mlsanity.com/paper/2302.03684/) (2023)
- [Federated Few-shot Learning](https://mlsanity.com/paper/2306.10234/) (2023)
- [MN-DS: A Multilabeled News Dataset for News Articles Hierarchical Classification](https://mlsanity.com/paper/2212.12061/) (2022)
- [TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation](https://mlsanity.com/paper/2504.18535/) (2025)
- [Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processing](https://mlsanity.com/paper/2409.15576/) (2024)
- [Holistic Sentence Embeddings for Better Out-of-Distribution Detection](https://mlsanity.com/paper/2210.07485/) (2022)
- [A New Dialogue Response Generation Agent for Large Language Models by Asking Questions to Detect User's Intentions](https://mlsanity.com/paper/2310.03293/) (2023)
- [A diverse Multilingual News Headlines Dataset from around the World](https://mlsanity.com/paper/2403.19352/) (2024)
- [LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic Classification](https://mlsanity.com/paper/2411.19638/) (2024)
- [What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models](https://mlsanity.com/paper/2503.17482/) (2025)
- [Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks](https://mlsanity.com/paper/2307.07002/) (2023)
- [Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers](https://mlsanity.com/paper/2307.09455/) (2023)
- [Automatic Combination of Sample Selection Strategies for Few-Shot Learning](https://mlsanity.com/paper/2402.03038/) (2024)
- [PCFG-based Natural Language Interface Improves Generalization for Controlled Text Generation](https://mlsanity.com/paper/2210.07431/) (2022)
- [Iterative Mask Filling: An Effective Text Augmentation Method Using Masked Language Modeling](https://mlsanity.com/paper/2401.01830/) (2024)
- [Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models](https://mlsanity.com/paper/2501.14406/) (2025)
- [Learning Label Modular Prompts for Text Classification in the Wild](https://mlsanity.com/paper/2211.17142/) (2022)
- [TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation](https://mlsanity.com/paper/2306.02175/) (2023)
- [Sobol Sequence Optimization for Hardware-Efficient Vector Symbolic Architectures](https://mlsanity.com/paper/2311.10277/) (2023)
- [SNaRe: Domain-aware Data Generation for Low-Resource Event Detection](https://mlsanity.com/paper/2502.17394/) (2025)
- [Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering](https://mlsanity.com/paper/2211.08588/) (2022)

## 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.