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README.md

@@ -1,110 +1,187 @@
 ---
 dataset_info:
   features:
-  - name: paper_id
-    dtype: string
-  - name: arxiv_id
-    dtype: string
-  - name: title
-    dtype: string
-  - name: markdown
-    struct:
-    - name: content
+    - name: paper_id
       dtype: string
-    - name: metadata
-      struct:
-      - name: authors
-        list: string
-      - name: title
-        dtype: string
-      - name: total_chars
-        dtype: int64
-      - name: total_lines
-        dtype: int64
-      - name: updated_at
-        dtype: string
-  - name: reviews
-    list:
-    - name: confidence
-      dtype: int64
-    - name: contribution
-      dtype: int64
-    - name: id
-      dtype: string
-    - name: initial_rating
-      dtype: int64
-    - name: presentation
-      dtype: int64
-    - name: questions
-      dtype: string
-    - name: soundness
-      dtype: int64
-    - name: strengths
-      dtype: string
-    - name: summary
-      dtype: string
-    - name: weaknesses
-      dtype: string
-  - name: scores
-    struct:
-    - name: confidence
-      dtype: string
-    - name: confidence_avg
-      dtype: float64
-    - name: contribution
-      dtype: string
-    - name: contribution_avg
-      dtype: float64
-    - name: presentation
-      dtype: string
-    - name: presentation_avg
-      dtype: float64
-    - name: rating
-      dtype: string
-    - name: rating_avg
-      dtype: float64
-    - name: soundness
-      dtype: string
-    - name: soundness_avg
-      dtype: float64
-  - name: metadata
-    struct:
-    - name: primary_area
-      dtype: string
-    - name: processed_at
+    - name: arxiv_id
       dtype: string
-    - name: track
+    - name: title
       dtype: string
-    - name: venue
-      dtype: string
-    - name: venueid
-      dtype: string
-  - name: meta_review
-    struct:
-    - name: additional_comments
-      dtype: string
-    - name: id
-      dtype: string
-    - name: metareview
-      dtype: string
-  - name: decision
-    struct:
+    - name: markdown
+      struct:
+        - name: content
+          dtype: string
+        - name: metadata
+          struct:
+            - name: authors
+              sequence: string
+            - name: title
+              dtype: string
+            - name: total_chars
+              dtype: int64
+            - name: total_lines
+              dtype: int64
+            - name: updated_at
+              dtype: string
+    - name: reviews
+      list:
+        - name: id
+          dtype: string
+        - name: initial_rating
+          dtype: int64
+        - name: confidence
+          dtype: int64
+        - name: soundness
+          dtype: int64
+        - name: contribution
+          dtype: int64
+        - name: presentation
+          dtype: int64
+        - name: summary
+          dtype: string
+        - name: strengths
+          dtype: string
+        - name: weaknesses
+          dtype: string
+        - name: questions
+          dtype: string
+    - name: scores
+      struct:
+        - name: rating
+          dtype: string
+        - name: rating_avg
+          dtype: float64
+        - name: confidence
+          dtype: string
+        - name: confidence_avg
+          dtype: float64
+        - name: soundness
+          dtype: string
+        - name: soundness_avg
+          dtype: float64
+        - name: contribution
+          dtype: string
+        - name: contribution_avg
+          dtype: float64
+        - name: presentation
+          dtype: string
+        - name: presentation_avg
+          dtype: float64
+    - name: metadata
+      struct:
+        - name: primary_area
+          dtype: string
+        - name: track
+          dtype: string
+        - name: venue
+          dtype: string
+        - name: venueid
+          dtype: string
+        - name: processed_at
+          dtype: string
+    - name: meta_review
+      struct:
+        - name: id
+          dtype: string
+        - name: metareview
+          dtype: string
+        - name: additional_comments
+          dtype: string
     - name: decision
-      dtype: string
+      struct:
+        - name: decision
+          dtype: string
   splits:
-  - name: train
-    num_bytes: 309430749
-    num_examples: 4011
-  - name: test
-    num_bytes: 92010709
-    num_examples: 1000
-  download_size: 190049084
-  dataset_size: 401441458
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+    - name: train
+      num_examples: 4011
+    - name: test
+      num_examples: 1000
+license: mit
+task_categories:
+  - text-generation
+  - text2text-generation
+language:
+  - en
+tags:
+  - peer-review
+  - scientific-papers
+  - ICLR
+  - paper-review
+  - NLP
+size_categories:
+  - 1K<n<10K
 ---
+
+# 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.
+
+## Dataset Description
+
+This dataset supports training and evaluating automated peer review systems. All papers and reviews are version-matched: the paper content corresponds to the initial submission, and the review scores reflect the initial ratings assigned before any author-reviewer discussion.
+
+### Splits
+
+| Split | Source | Samples | Description |
+|-------|--------|---------|-------------|
+| train | ICLR 2025 | 4,011 | Training set for RL/SFT |
+| test | ICLR 2026 | 1,000 | Held-out evaluation set |
+
+### Features
+
+| Field | Type | Description |
+|-------|------|-------------|
+| paper_id | string | OpenReview paper ID |
+| arxiv_id | string | arXiv identifier |
+| title | string | Paper title |
+| markdown | dict | Paper content (initial submission) in markdown with metadata (authors, char/line counts) |
+| reviews | list | List of peer reviews (see below) |
+| scores | dict | Aggregated initial scores across reviewers (rating_avg, confidence_avg, etc.) |
+| metadata | dict | Submission metadata (primary_area, track, venue) |
+| meta_review | dict | Area chair meta-review and additional comments |
+| decision | dict | Final acceptance decision (e.g., Accept (Poster), Reject) |
+
+Each review contains:
+
+| Field | Type | Description |
+|-------|------|-------------|
+| id | string | Reviewer ID |
+| initial_rating | int | Rating before discussion (1-10) |
+| confidence | int | Reviewer confidence score |
+| soundness | int | Technical soundness score |
+| contribution | int | Contribution significance score |
+| presentation | int | Presentation quality score |
+| summary | string | Paper summary by reviewer |
+| strengths | string | Identified strengths |
+| weaknesses | string | Identified weaknesses |
+| questions | string | Questions for the authors |
+
+## Usage
+
+
+
+## Version Matching
+
+All data is version-matched to ensure consistency:
+
+- **Paper content**: Corresponds to the initial submission (before any revisions in response to reviews)
+- **Review scores**: Reflect the initial ratings assigned by reviewers (before the discussion/rebuttal phase)
+
+This version matching is important for training review agents, as it ensures the model learns to evaluate papers as they were first submitted, with scores that reflect first impressions rather than post-discussion adjustments.
+
+## Source
+
+Papers and reviews were collected from [OpenReview](https://openreview.net/) for the ICLR 2025 and ICLR 2026 venues.
+
+## Associated Resources
+
+- **Paper**: [From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent](https://arxiv.org/abs/2606.13349)
+- **Code**: [UKPLab/arxiv2026-ProReviewer](https://github.com/UKPLab/arxiv2026-ProReviewer)
+
+## Citation
+
+
+
+## License
+
+This dataset is released under the [MIT License](https://opensource.org/licenses/MIT).