244 datasets found

The SWSR dataset consists of two files: SexWeibo.csv and SexComment.csv, containing weibos (posts) and comments (replies) respectively.

We collect a domain-specific preference (DSP) dataset, which includes preferred responses for each given query from four practical domains.

A dataset for automatic comment generation from source code.

A dataset for automatic comment generation from source code.

A dataset for automatically generating summary comments for Java methods.

A large dataset from open projects in GitHub, which is more than 20× larger than existing datasets.

The dataset Youshu is a bundle recommendation dataset, which contains 995 groups, 5,275 users, and 1,513 items. The dataset also includes 4,771 bundles, 32,770 user-bundle...

The dataset Mafengwo is a group recommendation dataset, which contains 995 groups, 5,275 users, and 1,513 items. The dataset also includes 4,771 bundles, 32,770 user-bundle...

Huawei is a music service system.

Amazon-Beauty/Amazon-Digital-Music is a subset of Amazon Product dataset.

MIND3 is a large scale news recommendation dataset.

The FIGER dataset contains 2M data samples labeled with 113 types.

The OntoNotes dataset contains 3.4M automatically labeled entity mentions for training and 11k manually annotated instances that are split into 8k for dev set and 2k for test set.

The dataset used to evaluate the performance of the neural network for normality test.

Relation extraction financial dataset

The Recipe1M+ dataset is a large collection of culinary recipes labeled in respective categories with extended named entities extracted from recipe descriptions.

The 3A2M dataset is a large collection of culinary recipes labeled in respective categories with extended named entities extracted from recipe descriptions.

The 3A2M+ dataset is a large collection of culinary recipes labeled in respective categories with extended named entities extracted from recipe descriptions.

The dataset used for training the models in the Audrey chatbot.

The dataset used in this paper is a large-scale demonstration dataset containing 110M and 10M training and validation samples, respectively.