@@ -71,10 +71,10 @@ Participants may use any datasets for training their models, not limited to our
We will evaluate submitted systems on an internal persona-grounded dialogue dataset. The dialogues in our evaluation dataset have persona sentences similar to the PERSONA-CHAT dataset, but the number of persona sentences for a person is more than five sentences. The major part of the persona is derived from the [PeaCoK](https://github.com/Silin159/PeaCoK) knowledge graph.
We also provide a list of other resources that may be related to this task:
Partner Personas Generation for Diverse Dialogue Generation (PPG): [Paper](https://arxiv.org/abs/2111.13833) and [Code](https://github.com/HongyuanLuke/PPG)
On Symbolic and Neural Commonsense Knowledge Graphs (COMET-ATOMIC 2020): [Paper](https://arxiv.org/abs/2010.05953) and [Code](https://github.com/allenai/comet-atomic-2020)
*Partner Personas Generation for Diverse Dialogue Generation (PPG): [Paper](https://arxiv.org/abs/2111.13833) and [Code](https://github.com/HongyuanLuke/PPG)
*On Symbolic and Neural Commonsense Knowledge Graphs (COMET-ATOMIC 2020): [Paper](https://arxiv.org/abs/2010.05953) and [Code](https://github.com/allenai/comet-atomic-2020)