GenWiki is a large-scale dataset for knowledge graph-to-text (G2T) and text-to-knowledge graph (T2G) conversion. It is introduced in the paper "GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation" by Zhijing Jin, Qipeng Guo, Xipeng Qiu, and Zheng Zhang at COLING 2020.
Variants: GenWiki, GenWiki (Fine), GenWiki (Full)
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Data-to-Text Generation | T5-large | Ontology-Free General-Domain Knowledge Graph-to-Text Generation … | 2024-09-11 |
Recent papers with results on this dataset: