Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Upload README.md with huggingface_hub
Browse files
README.md
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@@ -54,6 +54,7 @@ We organize the reviews corresponding to 19,926 papers into a dictionary keyed b
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#### Review Data Format
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The format of the review data is below.
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- `paper_id` refers to the unique identifier of the paper on OpenReview
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- `initial_score` is the score before the rebuttal
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- `final_score` is the final score after the rebuttal
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@@ -162,6 +163,7 @@ As for the rebuttal, we model the rebuttal and discussion data as a multi-turn c
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#### Rebuttal Data Format
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The format of the review data is below.
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- `paper_id` refers to the unique identifier of the paper on OpenReview
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- `messages` is formatted as a multi-turn conversation
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- `final_score` is the final score after the rebuttal
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#### Review Data Format
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The format of the review data is below.
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+
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- `paper_id` refers to the unique identifier of the paper on OpenReview
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- `initial_score` is the score before the rebuttal
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- `final_score` is the final score after the rebuttal
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#### Rebuttal Data Format
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The format of the review data is below.
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+
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- `paper_id` refers to the unique identifier of the paper on OpenReview
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- `messages` is formatted as a multi-turn conversation
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- `final_score` is the final score after the rebuttal
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