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Dataset ยท Hugging Face

RebuttalAgent/Comments_200K

Comments-200k ๐Ÿ“š 1. Introduction Raw reviews often intermix critical points with extraneous content, such as salutations and summaries. Directly feeding this unprocessed text into a model introduces significant noise and redundancy, which can compromise the precision of the generated rebuttal. Furthermore, due to diverse reviewer writing styles and varying conference formats, comments are typically presented in an unstructured manner. Therefore, to address theseโ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/RebuttalAgent/Comments_200K.

Author / organizationRebuttalAgent
License (as declared)apache-2.0
Downloads207 (as reported by Hugging Face)
Likes2
Created9 November 2025
Last updated at source10 November 2025
datasetacademic-rebuttaltheory-of-mind
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