WebAug 6, 2024 · The dataset contains relevant features such as article titles, authors, categories, content (both abstract and full text) and citations of 1.7 million scholarly articles avaiable on arXiv. ... Paper recommender engine; Photo by Skye Studios on Unsplash. Deep learning models are data hungry. With the advancements in computing and … WebMay 14, 2024 · Papers with Datasets. PaperswithCode and arXiv have partnered up to facilitate dataset usage tracking for AI research. Tracking datasets used across AI …
10 Great Places To Find Open, Free Datasets [2024 Guide]
WebApr 11, 2024 · Integrity and trust in that integrity are fundamental to academic research. However, procedures for monitoring the trustworthiness of research, and for investigating cases where concern about possible data fraud have been raised are not well established. Here we suggest a practical approach for the investigation of work suspected of … WebApr 12, 2024 · Research section offers "explainers" and academic papers; Member of Harvard Dataverse project. ... ICPSR is a large, searchable repository for social and behavioral science research datasets, covering political science, sociology, economics, demography, and interdisciplinary areas. ICPSR also curates and distributes data from … phoenix victoria youngs
How to locate dataset for published papers? ResearchGate
WebJan 24, 2024 · Data Basics is a module in Data-Planet that provides resources and examples for citing datasets and statistics when incorporating them into research. IASSIST Quick Guide to Data Citation. Includes examples from APA, MLA, and Chicago styles. How to Cite Data. A comprehensive guide with examples from Michigan State University … WebFeb 1, 2016 · A total of 64 papers published from 2008 to 2012explicitly address issues with the quality of data and use software engineering data sets. These studies were classified according to the data ... WebOpen Graph Benchmark: Datasets for Machine Learning on Graphs. snap-stanford/ogb • • NeurIPS 2024 We present the Open Graph Benchmark (OGB), a diverse set of challenging and realistic benchmark datasets to facilitate scalable, robust, and reproducible graph machine learning (ML) research. tts training tool