README.md

metadata

license: mit

NeurIPS Papers Dataset

This dataset contains information about NeurIPS conference paper submissions including peer reviews, author rebuttals, and decision outcomes across multiple years.

Files

• dataset.csv: Main dataset file containing all paper submission data

Dataset Structure

The CSV file contains the following columns:

• title: Paper title
• paper_decision: Decision outcome (Accept/Reject with specific categories)
• review_1, review_2, etc.: Peer reviews from different reviewers
• rebuttals_1, rebuttals_2, etc.: Author rebuttals responding to reviews
• global_rebuttals: Overall author responses
• dataset_source: Source of the data
• conference_year: Year of the conference

Usage

import pandas as pd

# Load the dataset
df = pd.read_csv('merged_neurips_dataset.csv')

# Example: Print first paper title
print(df['title'].iloc[0])

# Example: Filter accepted papers
accepted_papers = df[df['paper_decision'].str.contains('Accept', na=False)]
print(f"Number of accepted papers: {len(accepted_papers)}")

# Example: Analyze decision distribution
decision_counts = df['paper_decision'].value_counts()
print(decision_counts)

Sample Data Structure

Each row represents a paper submission with associated reviews and rebuttals:

title: "Stress-Testing Capability Elicitation With Password-Locked Models"
paper_decision: "Accept (poster)"
review_1: "Summary: The paper studies whether fine-tuning can elicit..."
rebuttals_1: "Rebuttal 1: Thanks for the review! We are glad you found..."
...

Data Statistics

• File size: ~287MB
• Format: CSV with comma-separated values
• Encoding: UTF-8
• Contains: Paper reviews, rebuttals, and metadata from NeurIPS conferences

Use Cases

This dataset is valuable for:

• Peer review analysis: Study patterns in academic peer review
• Natural language processing: Train models on academic text
• Research evaluation: Analyze correlation between reviews and acceptance
• Academic writing: Understand successful paper characteristics
• Sentiment analysis: Analyze reviewer sentiment and author responses

Citation

If you use this dataset in your research, please cite appropriately and ensure compliance with NeurIPS terms of service.

License

This dataset is released under the MIT License. Please ensure you have appropriate permissions to use this data and comply with NeurIPS's terms of service.