Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
License:
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](https://arxiv.org/abs/2305.01498). The original code and datasets are public on [GitHub](https://github.com/oaimli/PeerSum). | |
Please use the following code to download the dataset with the datasets library from Huggingface. | |
```python | |
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](https://drive.google.com/drive/folders/1SGYvxY1vOZF2MpDn3B-apdWHCIfpN2uB?usp=sharing). |