227 datasets found

A large benchmarking effort that includes a dataset repository curated for SR, as well as a benchmarking library designed to allow researchers to easily contribute methods.

The dataset contains 122 submissions of abstracts, 92 full submissions, and 30 accepted papers.

The dataset used in the paper is a Netflix dataset, which is a large-scale matrix factorization problem.

The dataset contains 6438 known AMP sequences and 9522 non-AMP sequences from the DBAASP database.

The CRESCI2017 dataset is a collection of Twitter data, including user information, event logs, and tweets. It contains four types of accounts: genuine users, social bots,...

Precise user modeling is critical for online personalized recommen-der services. Generally, users’ interests are diverse and are not limited to a single aspect, which is...

The SPEED dataset is used for training and evaluating spacecraft pose estimation algorithms.

A comprehensive real-world dataset for trademark infringement detection in e-commerce, sourced directly from Alipay, one of the world's largest e-commerce and digital payment...

A large-scale microscope image dataset of Trichomonas vaginalis for segmentation, consisting of 3,158 images with high-quality annotations.

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

The comma2k19 dataset is used to evaluate the robustness of lane detection models under physical-world adversarial attacks in autonomous driving.

The News Recommendation Dataset is a real-world dataset used to evaluate the performance of the EENR framework.

The Chinese Event Extraction Dataset is used to train EE modular, and News Recommendation Dataset is our target recommendation dataset.

The Mr. TyDi dataset is a multilingual dataset for dense retrieval, consisting of 100,000 passages and 1,000,000 queries.

The MIRACL dataset is a unique resource for researchers working on search across multiple languages. It covers 18 different languages, each of which is divided into four parts:...

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

The Phi-2 dataset is a collection of language models used to evaluate the performance of language models.

The MBPP dataset is a collection of basic programming questions used to evaluate the performance of language models.

The traffic light control dataset is used to evaluate the performance of reinforcement learning models in traffic light control.

The APPS dataset is a collection of programming problems used to evaluate the performance of code generation models.