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.
Variants: DebateSum
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Extractive Text Summarization | Longformer-Base | DebateSum: A large-scale argument mining … | 2020-11-14 |
| Extractive Text Summarization | GPT2-Medium | DebateSum: A large-scale argument mining … | 2020-11-14 |
| Extractive Text Summarization | BERT-Large | DebateSum: A large-scale argument mining … | 2020-11-14 |
Recent papers with results on this dataset: