Abstract GENeration DAtaset
Abstract GENeration DAtaset (AGENDA) is a dataset of knowledge graphs paired with scientific abstracts. The dataset consists of 40k paper titles and abstracts from the Semantic Scholar Corpus taken from the proceedings of 12 top AI conferences.
Source: Text Generation from Knowledge Graphs with Graph Transformers
Variants: AGENDA
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| KG-to-Text Generation | Writer-Reviewer | How to Train Your Agent … | 2021-01-04 |
| KG-to-Text Generation | BART-large+ STA | Investigating Pretrained Language Models for … | 2020-07-16 |
| KG-to-Text Generation | BART-large | Investigating Pretrained Language Models for … | 2020-07-16 |
| KG-to-Text Generation | Graformer | Modeling Graph Structure via Relative … | 2020-06-16 |
| KG-to-Text Generation | CGE-LW | Modeling Global and Local Node … | 2020-01-29 |
| KG-to-Text Generation | GraphWriter | Text Generation from Knowledge Graphs … | 2019-04-04 |
Recent papers with results on this dataset: