RebuttalAgent/Comments_200K
Comments-200k ๐ 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 theseโฆ See the full description on the dataset page: https://huggingface.co/datasets/RebuttalAgent/Comments_200K.
| Author / organization | RebuttalAgent |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 207 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 9 November 2025 |
| Last updated at source | 10 November 2025 |
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