Datasets:
| license: mit | |
| task_categories: | |
| - text-classification | |
| - text-generation | |
| language: | |
| - en | |
| tags: | |
| - peer-review | |
| - scientific-papers | |
| - iclr | |
| size_categories: | |
| - 10K<n<100K | |
| # ICLR Peer Reviews Dataset | |
| This dataset contains peer reviews from ICLR (International Conference on Learning Representations), processed and standardized. | |
| ## Dataset Structure | |
| - **title**: Title of the paper | |
| - **abstract**: Abstract of the paper | |
| - **full_text**: Full text of the paper (if available) | |
| - **review**: The peer review text | |
| - **source**: Source conference/year (e.g., iclr2020) | |
| - **review_src**: Original source identifier | |
| - **year**: Year of the conference (extracted from source) | |
| - **overall_score**: Computed overall quality score | |
| - **dimension_scores**: Scores for specific dimensions (criticism, praise, etc.) | |
| - **criteria_count**: Count of sentences matching specific criteria | |
| - **conversations**: Chat-style format of the review | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("JerMa88/ICLR_Peer_Reviews") | |
| ``` | |