Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Update README.md
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README.md
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---
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This is PeerSum, a multi-document summarization dataset in the peer-review domain.
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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).
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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).
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Please use the following code to download the dataset with the datasets library from Huggingface.
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```python
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from datasets import load_dataset
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peersum_train = load_dataset("oaimli/PeerSum", split="train")
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peersum_validation = load_dataset("oaimli/PeerSum", split="validation")
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peersum_test = load_dataset("oaimli/PeerSum", split="test")
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```
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You can also download the raw data which comprises more information from [Google Drive](https://drive.google.com/drive/folders/1SGYvxY1vOZF2MpDn3B-apdWHCIfpN2uB?usp=sharing).
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