mlsanityData to 7 Oct 2026

WikiHow: A Large Scale Text Summarization Dataset

arXiv 1810.09305 ↗First posted 18 Oct 2018cs.CL cs.IR cs.LGcited by 203

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Abstract (arXiv)

Sequence-to-sequence models have recently gained the state of the art performance in summarization. However, not too many large-scale high-quality datasets are available and almost all the available ones are mainly news articles with specific writing style. Moreover, abstractive human-style systems involving description of the content at a deeper level require data with higher levels of abstraction. In this paper, we present WikiHow, a dataset of more than 230,000 article and summary pairs extracted and constructed from an online knowledge base written by different human authors. The articles span a wide range of topics and therefore represent high diversity styles. We evaluate the performance of the existing methods on WikiHow to present its challenges and set some baselines to further improve it.

Key facts. Cited by 203 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Oct 2018.

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Citing papers per year: 2021: 16; 2022: 34; 2023: 45; 2024: 56; 2025: 31; 2026: 21.

203 papers.

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  11. 2024BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulationcited by 140
  12. 2023M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detectioncited by 118
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  2. 2022Task-aware Retrieval with Instructionscited by 107
  3. 2021LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5cited by 103
  4. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
  5. 2023CoMPosT: Characterizing and Evaluating Caricature in LLM Simulationscited by 94
  6. 2022Learning To Recognize Procedural Activities with Distant Supervisioncited by 85
  7. 2023Human Feedback is not Gold Standardcited by 82
  8. 2023Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Methodcited by 76
  9. 2022An Empirical Survey on Long Document Summarization: Datasets, Models and Metricscited by 74
  10. 2024Detecting Multimedia Generated by Large AI Models: A Surveycited by 73
  11. 2023Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillingscited by 68
  12. 2022Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Datacited by 61
  13. 2021Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completioncited by 57
  14. 2021A Systematic Investigation of Commonsense Knowledge in Large Language Modelscited by 56
  15. 2024A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Modelscited by 52
  16. 2024DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learningcited by 52
  17. 2021Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarizationcited by 50
  18. 2022FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarizationcited by 49
  19. 2023Procedure-Aware Pretraining for Instructional Video Understandingcited by 48
  20. 2023LongForm: Effective Instruction Tuning with Reverse Instructionscited by 47
  21. 2023Learning Procedure-aware Video Representation from Instructional Videos and Their Narrationscited by 46
  22. 2023Distilling Script Knowledge from Large Language Models for Constrained Language Planningcited by 45
  23. 2024HelloBench: Evaluating Long Text Generation Capabilities of Large Language Modelscited by 42
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  25. 2024Graph-enhanced Large Language Models in Asynchronous Plan Reasoningcited by 37
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  28. 2023HowToCaption: Prompting LLMs to Transform Video Annotations at Scalecited by 34
  29. 2025From Language to Action: A Review of Large Language Models as Autonomous Agents and Tool Userscited by 32
  30. 2023Faithfulness-Aware Decoding Strategies for Abstractive Summarizationcited by 31
  31. 2021Goal-Oriented Script Constructioncited by 30
  32. 2022Multimodal Knowledge Alignment with Reinforcement Learningcited by 30
  33. 2022Neuro-Symbolic Procedural Planning with Commonsense Promptingcited by 28
  34. 2023Learning to Ground Instructional Articles in Videos through Narrationscited by 28
  35. 2022End-to-end Dense Video Captioning as Sequence Generationcited by 27
  36. 2023Learning and Verification of Task Structure in Instructional Videoscited by 26
  37. 2025Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarkscited by 26
  38. 2021RefSum: Refactoring Neural Summarizationcited by 25

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