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LimAgents Data
This dataset contains scientific paper metadata and extracted limitation information prepared for use with LLM Agents.
The data comes from NeurIPS 2021–2022 papers and related OpenReview reviews, enriched with Cited in and Cited by information.
Dataset Structure
The repository contains two main directories:
1. NeurIPS_21_22_Lim_OPR_with_cited_in_by_papers
This directory includes one JSON file per paper. Each file contains:
- title: Original paper title
- Abstract
- Introduction
- Related Work
- Methodology
- Experiment and Results
- Limitation
- Review (from OpenReview)
- cited_in: A list of referenced papers. Each entry includes:
title,Abstract,Introduction,Related Work,Methodology,Experiment and Results,Limitation. - cited_by: A list of citing papers. Each entry includes the same fields as in
cited_in.
This structure enables both forward (cited papers) and backward (citing papers) navigation for analyzing limitations in scientific research.
2. Neurips_21_22_Limitation_OpenReview
This directory contains JSON files focused on limitation extraction from NeurIPS 2021–2022 papers as annotated from OpenReview. Each file includes:
- Title: Paper title
- Abstract
- Introduction
- Related Work
- Methodology
- Experiment and Results
- Limitation
- Review (from OpenReview)
- Limitation: Extracted text from author statements or inferred from reviews
Data Splits
The dataset is not split into train/validation/test. All data is provided for exploratory analysis and downstream use.
Source
- Conference: NeurIPS (2021, 2022)
- Reviews: Extracted from OpenReview
License
CC-BY-4.0 (please cite if you use this dataset).
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