30 datasets found

The Collective Classification in Network Data dataset is used for graph neural network research.

The Cora, Citeseer, and Polblogs datasets are widely used for graph neural network research.

The dataset contains 10 highly ambiguous name references with 1091 documents and 74 distinct real-life authors.

The dataset contains 10 highly ambiguous name references with 1091 documents and 74 distinct real-life authors.

The Travelling Salesman Problem (TSP) and Vehicle Routing Problem (VRP) are the two most prevalent routing problems.

A dataset of 248 well-cited papers in the field of misinformation detection

The dataset used for training the model consists of 13 pieces of Mozart, 989 pieces for validation, and 11,821 pieces for testing.

The Knowledge Extraction based on Evolutionary Learning (KEEL) repository contains 64 datasets for the experiments.

This dataset contains a large corpus of text for training and evaluating large language models.

This dataset contains a large corpus of text for training and evaluating large language models.

This dataset contains 100 harmless and 100 harmful anchor prompts for evaluating the performance of large language models.

The CCCS-CIC-AndMal-2020 dataset comprises 400K android apps, to test and assess the suggested methodology.

The Colosseum dataset is a dataset of network traffic flow level, which is used to train and test the traffic steering algorithm.

The dataset used in the paper is a collection of 156 benchmark datasets for machine learning model evaluation.

A dataset for testing the proposed algorithm, consisting of a road network with 1719 vertices and 2280 edges.

The dataset contains 420 instances with varying number of big trains, each with 1 to 4 unit trains, and different configurations of dumpers, conveyors, and stackers.

A dataset of OCT scans consisting of glaucoma and non-glaucomatous cases obtained from four tertiary care eye hospitals located in four different countries.

The Enron corpus is a dataset of over 17K Excel Spreadsheets extracted from the Enron email corpus.

The dataset is constructed from a corpus of Google Sheets publicly shared within our organization. We collected 46K Google Sheets with formulas, and split them into 42K for...

A hybrid spatial-temporal deep learning architecture for lane detection