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README.md

@@ -99,7 +99,6 @@ dataset_info:
 license: mit
 task_categories:
   - text-generation
-  - text2text-generation
 language:
   - en
 tags:
@@ -114,7 +113,7 @@ size_categories:
 
 # ProReviewer Dataset
 
-A version-matched dataset of ICLR paper submissions paired with their initial peer reviews and scores. Each sample contains the initial submission of a paper matched with the reviewers initial ratings (before the discussion phase), enabling research on automated scientific peer review.
+A version-matched dataset of ICLR paper submissions paired with their initial peer reviews and scores. Each sample contains the initial submission of a paper matched with the reviewers' initial ratings (before the discussion phase), enabling research on automated scientific peer review.
 
 ## Dataset Description
 
@@ -158,7 +157,25 @@ Each review contains:
 
 ## Usage
 
+```python
+from datasets import load_dataset
 
+ds = load_dataset("UKPLab/ProReviewer-Dataset")
+
+# Access a training sample
+paper = ds["train"][0]
+print(paper["title"])
+print(f"Avg initial rating: {paper['scores']['rating_avg']}")
+print(f"Decision: {paper['decision']['decision']}")
+print(f"Number of reviews: {len(paper['reviews'])}")
+
+# Read paper content (initial submission)
+content = paper["markdown"]["content"]
+
+# Access individual reviews
+for review in paper["reviews"]:
+    print(f"Initial rating: {review['initial_rating']}, Confidence: {review['confidence']}")
+```
 
 ## Version Matching
 
@@ -180,7 +197,14 @@ Papers and reviews were collected from [OpenReview](https://openreview.net/) for
 
 ## Citation
 
-
+```bibtex
+@article{fang2026passive,
+  title={From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent},
+  author={Fang, Haishuo and Feng, Yue and Gurevych, Iryna},
+  journal={arXiv preprint arXiv:2606.13349},
+  year={2026}
+}
+```
 
 ## License