scientific-ci
LimAgents_limitation_data_scientific_papers_with_cited_papers
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… See the full description on the dataset page: https://huggingface.co/datasets/iaadlab/LimAgents_limitation_data_scientific_papers_with_cited_papers.douvras-scientific-ci-evidence-graph
Douvras Scientific CI Evidence Graph v0.1
Synthetic protocol dataset for linking a claim to its paper, repository,
dataset, seed and reproduced metric. It contains 30 records from six toy paper
instances (20 train, 5 validation and 5 frozen test), split by paper_id.
The labels distinguish REPRODUCED, PARTIAL, FAILED and INCONCLUSIVE.
Shortcuts and leakage fail closed. No real paper, code, dataset or result is
included, and this release is not a reproduction benchmark.
scientific_papers_citation_scores
Dataset Summary
This dataset comprises an array of scientific papers, each paper is associated with a series of scores.
These scores quantify the number of citations each paper has received.
The data regarding the papers and their citations were sourced from OpenCitations, a comprehensive and accessible online database of scholarly citations (available at https://opencitations.net/).
How are these scores calculated?
Imagine a tree where papers are nodes and citations… See the full description on the dataset page: https://huggingface.co/datasets/JoaoCoelho/scientific_papers_citation_scores.