DebateSum
Introduced by Roush et al. in DebateSum: A large-scale argument mining and summarization dataset
DebateSum consists of 187328 debate documents, arguments (also can be thought of as abstractive summaries, or queries), word-level extractive summaries, citations, and associated metadata organized by topic-year. This data is ready for analysis by NLP systems.
Source: https://github.com/Hellisotherpeople/DebateSumBenchmarks
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DebateSum
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Longformer-Base
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Papers
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