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DebateSum: A large-scale argument mining and summarization dataset

arXiv 2011.07251 ↗First posted 14 Nov 2020cs.CLcited by 34

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Abstract (arXiv)

Prior work in Argument Mining frequently alludes to its potential applications in automatic debating systems. Despite this focus, almost no datasets or models exist which apply natural language processing techniques to problems found within competitive formal debate. To remedy this, we present the DebateSum dataset. DebateSum consists of 187,386 unique pieces of evidence with corresponding argument and extractive summaries. DebateSum was made using data compiled by competitors within the National Speech and Debate Association over a 7-year period. We train several transformer summarization models to benchmark summarization performance on DebateSum. We also introduce a set of fasttext word-vectors trained on DebateSum called debate2vec. Finally, we present a search engine for this dataset which is utilized extensively by members of the National Speech and Debate Association today. The DebateSum search engine is available to the public here: http://www.debate.cards

Key facts. Cited by 34 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Nov 2020.

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Citing papers per year: 2021: 3; 2022: 4; 2023: 4; 2024: 11; 2025: 7; 2026: 5.

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  1. 2024LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compressioncited by 348
  2. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 102
  3. 2023Goal Driven Discovery of Distributional Differences via Language Descriptionscited by 62
  4. 2024Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statementscited by 34
  5. 2022arXivEdits: Understanding the Human Revision Process in Scientific Writingcited by 26
  6. 2022A Survey of Adversarial Defences and Robustness in NLPcited by 23
  7. 2024Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluationcited by 13
  8. 2026Text summarization via global structure awarenesscited by 12
  9. 2022Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networkscited by 11
  10. 2021Persuasive Natural Language Generation -- A Literature Reviewcited by 10
  11. 2024OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Datasetcited by 8
  12. 2021DEBACER: a method for slicing moderated debatescited by 6
22 more
  1. 2024ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarizationcited by 6
  2. 2025OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Modelscited by 5
  3. 2024The Future of Cognitive Strategy-enhanced Persuasive Dialogue Agents: New Perspectives and Trendscited by 4
  4. 2025MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collectionscited by 4
  5. 2025ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentationcited by 4
  6. 2025Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristicscited by 4
  7. 2021Traditional Machine Learning and Deep Learning Models for Argumentation Mining in Russian Textscited by 3
  8. 2023Topic Ontologies for Argumentscited by 3
  9. 2023Active Learning for Natural Language Generationcited by 3
  10. 2024Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMscited by 3
  11. 2024The State and Fate of Summarization Datasets: A Surveycited by 3
  12. 2025Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Modelscited by 3
  13. 2025ArgCMV: An Argument Summarization Benchmark for the LLM-eracited by 3
  14. 2026PERSPECTRA: A Scalable and Configurable Pluralist Benchmark of Perspectives from Argumentscited by 3
  15. 2022ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Paperscited by 1
  16. 2024PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarizationcited by 1
  17. 2025A Unifying Scheme for Extractive Content Selection Taskscited by 1
  18. 2026A dataset of rated conceptual argumentscited by 1
  19. 2023DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge Graphscited by 0
  20. 2024Cognitive Insights and Stable Coalition Matching for Fostering Multi-Agent Cooperationcited by 0
  21. 2026Efficient Extractive Summarization with MAMBA-Transformer Hybrids for Low-Resource Scenarioscited by 0
  22. 2026Analysis and Explainability of LLMs Via Evolutionary Methodscited by 0