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@@ -492,26 +492,6 @@ RevUtil focuses on four main aspects of review comments:
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- ## 🤖 RevUtil Synthetic
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- - **10,000** synthetically labeled review comments generated with **GPT-4o**.
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- - Each example includes both a **score** and a **rationale**.
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- - Split into **9k train** / **1k test**.
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- **Key columns:**
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- | Column | Description |
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- | -------------------------- | -------------------------------------------- |
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- | `paper_id` | ID of the reviewed paper |
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- | `venue` | Conference or journal name |
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- | `focused_review` | Full review (weakness + suggestion sections) |
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- | `review_point` | Individual review comment |
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- | `id` | Unique ID for the review point |
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- | `chatgpt_ASPECT_score` | Model-generated score for the aspect |
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- | `chatgpt_ASPECT_rationale` | Explanation of the score provided by GPT-4o |
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  ## 🚀 Usage
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  You can load the datasets directly via 🤗 Datasets:
 
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  ## 🚀 Usage
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  You can load the datasets directly via 🤗 Datasets: