| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-classification |
| - summarization |
| - question-answering |
| language: |
| - en |
| tags: |
| - nlp |
| - scientific-papers |
| - neurips |
| - openreview |
| pretty_name: LimAgents limitation with cited papers |
| size_categories: |
| - "1K<n<10K" |
| --- |
| |
| # 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* 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). |
|
|
