QMSum is a new human-annotated benchmark for query-based multi-domain meeting summarisation task, which consists of 1,808 query-summary pairs over 232 meetings in multiple domains.
Variants: QMSum
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Text Summarization | BART-LS | Adapting Pretrained Text-to-Text Models for … | 2022-09-21 |
Recent papers with results on this dataset: