Datasets:

JerMa88
/

ICLR_Peer_Reviews

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

from datasets import load_dataset
ds = load_dataset("JerMa88/ICLR_Peer_Reviews")