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