---
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")
```