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@@ -20,4 +20,20 @@ peersum_val = peersum_all.filter(lambda s: s['label'] == 'val')
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  peersum_test = peersum_all.filter(lambda s: s['label'] == 'test')
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  ```
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  You can also download the raw data from [Google Drive](https://drive.google.com/drive/folders/1SGYvxY1vOZF2MpDn3B-apdWHCIfpN2uB?usp=sharing). The raw data comprises more information and it can be used for other analysis for peer reviews.
 
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  peersum_test = peersum_all.filter(lambda s: s['label'] == 'test')
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  ```
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+ The Huggingface dataset is mainly for multi-document summarization. Each sample comprises information with the following keys:
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+ ```
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+ * paper_id: str (a link to the raw data)
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+ * paper_title: str
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+ * paper_abstract, str
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+ * paper_acceptance, str
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+ * meta_review, str
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+ * review_ids, list(str)
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+ * review_writers, list(str)
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+ * review_contents, list(str)
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+ * review_ratings, list(int)
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+ * review_confidences, list(int)
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+ * review_reply_tos, list(str)
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+ * label, str, (train, val, test)
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+ ```
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+
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  You can also download the raw data from [Google Drive](https://drive.google.com/drive/folders/1SGYvxY1vOZF2MpDn3B-apdWHCIfpN2uB?usp=sharing). The raw data comprises more information and it can be used for other analysis for peer reviews.