Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
License:
metadata
license: apache-2.0
task_categories:
- summarization
language:
- en
pretty_name: PeerSum
size_categories:
- 10K<n<100K
This is PeerSum, a multi-document summarization dataset in the peer-review domain. More details can be found in the paper accepted at EMNLP 2023, Summarizing Multiple Documents with Conversational Structure for Meta-review Generation. The original code and datasets are public on GitHub.
Please use the following code to download the dataset with the datasets library from Huggingface.
from datasets import load_dataset
peersum_train = load_dataset("oaimli/PeerSum", split="train")
peersum_validation = load_dataset("oaimli/PeerSum", split="validation")
peersum_test = load_dataset("oaimli/PeerSum", split="test")
You can also download the raw data which comprises more information from Google Drive.