|
|
--- |
|
|
license: cc-by-4.0 |
|
|
language: |
|
|
- en |
|
|
tags: |
|
|
- peer-review |
|
|
- scientific-papers |
|
|
- nlp |
|
|
size_categories: |
|
|
- 10K<n<100K |
|
|
--- |
|
|
|
|
|
# Transparent Peer Review (TPR) Dataset |
|
|
|
|
|
This dataset contains peer reviews from TPR, standardized to match the format of the `pawin205/PeerRT` dataset. |
|
|
|
|
|
## Dataset Description |
|
|
|
|
|
- **Source**: TPR |
|
|
- **Standardization**: Matches `pawin205/PeerRT` schema with an additional `year` attribute. |
|
|
- **Total Records**: (See dataset viewer) |
|
|
|
|
|
## Dataset Structure |
|
|
|
|
|
Each record contains the following attributes: |
|
|
|
|
|
- `relative_rank`: Default value (0). |
|
|
- `win_prob`: Default value (0.0). |
|
|
- `title`: Title of the paper. |
|
|
- `abstract`: Abstract of the paper. |
|
|
- `full_text`: Full text of the paper (or review text if unavailable). |
|
|
- `review`: The peer review text. |
|
|
- `source`: Source of the data ('TPR'). |
|
|
- `review_src`: Original filename of the review. |
|
|
- `criteria_count`: Dictionary containing counts of specific criteria in the review (e.g., criticism, praise). |
|
|
- `dimension_scores`: Dictionary containing scores for various dimensions. |
|
|
- `overall_score`: Computed overall score (reward value). |
|
|
- `thinking_trace`: Placeholder (empty). |
|
|
- `prompt`: Placeholder (empty). |
|
|
- `prompt_length`: Placeholder (0). |
|
|
- `conversations`: List of dictionaries representing the conversation (User/Assistant format). |
|
|
- `year`: Year of publication (if available). |
|
|
|
|
|
## Usage |
|
|
|
|
|
```python |
|
|
from datasets import load_dataset |
|
|
|
|
|
dataset = load_dataset("JerMa88/TPR_Peer_Reviews") |
|
|
print(dataset['train'][0]) |
|
|
``` |
|
|
|
