OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset
We introduce OpenDebateEvidence, a comprehensive dataset for argument mining and summarization sourced from the American Competitive Debate community. This dataset includes over 3.5 million documents with rich metadata, making it one of the most extensive collections of debate evidence. OpenDebateEv...
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Zusammenfassung: | We introduce OpenDebateEvidence, a comprehensive dataset for argument mining
and summarization sourced from the American Competitive Debate community. This
dataset includes over 3.5 million documents with rich metadata, making it one
of the most extensive collections of debate evidence. OpenDebateEvidence
captures the complexity of arguments in high school and college debates,
providing valuable resources for training and evaluation. Our extensive
experiments demonstrate the efficacy of fine-tuning state-of-the-art large
language models for argumentative abstractive summarization across various
methods, models, and datasets. By providing this comprehensive resource, we aim
to advance computational argumentation and support practical applications for
debaters, educators, and researchers. OpenDebateEvidence is publicly available
to support further research and innovation in computational argumentation.
Access it here: https://huggingface.co/datasets/Yusuf5/OpenCaselist |
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DOI: | 10.48550/arxiv.2406.14657 |