Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Update README.md
Browse files
README.md
CHANGED
@@ -20,4 +20,20 @@ peersum_val = peersum_all.filter(lambda s: s['label'] == 'val')
|
|
20 |
peersum_test = peersum_all.filter(lambda s: s['label'] == 'test')
|
21 |
```
|
22 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
23 |
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.
|
|
|
20 |
peersum_test = peersum_all.filter(lambda s: s['label'] == 'test')
|
21 |
```
|
22 |
|
23 |
+
The Huggingface dataset is mainly for multi-document summarization. Each sample comprises information with the following keys:
|
24 |
+
```
|
25 |
+
* paper_id: str (a link to the raw data)
|
26 |
+
* paper_title: str
|
27 |
+
* paper_abstract, str
|
28 |
+
* paper_acceptance, str
|
29 |
+
* meta_review, str
|
30 |
+
* review_ids, list(str)
|
31 |
+
* review_writers, list(str)
|
32 |
+
* review_contents, list(str)
|
33 |
+
* review_ratings, list(int)
|
34 |
+
* review_confidences, list(int)
|
35 |
+
* review_reply_tos, list(str)
|
36 |
+
* label, str, (train, val, test)
|
37 |
+
```
|
38 |
+
|
39 |
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.
|