A Recorded Debating Dataset
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Abstract (arXiv)
This paper describes an English audio and textual dataset of debating speeches, a unique resource for the growing research field of computational argumentation and debating technologies. We detail the process of speech recording by professional debaters, the transcription of the speeches with an Automatic Speech Recognition (ASR) system, their consequent automatic processing to produce a text that is more "NLP-friendly", and in parallel -- the manual transcription of the speeches in order to produce gold-standard "reference" transcripts. We release 60 speeches on various controversial topics, each in five formats corresponding to the different stages in the production of the data. The intention is to allow utilizing this resource for multiple research purposes, be it the addition of in-domain training data for a debate-specific ASR system, or applying argumentation mining on either noisy or clean debate transcripts. We intend to make further releases of this data in the future.
Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). First posted on arXiv 19 Sep 2017.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 1.
3 papers.
- 2023The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactionscited by 45
- 2024ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarizationcited by 6
- 2025Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluationcited by 3
- 2025Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation5 Jun 2025
- 2024ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization17 Oct 2024
- 2023The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions19 Oct 2023