31 datasets found

The dataset used in the paper is the Wikipedia dataset, which contains over six million English Wikipedia articles with a full-text field associated with 50 training queries...

DocRED is a large-scale human-annotated dataset for document-level RE, which is constructed from Wikipedia and Wikidata.

CMUDoG is a knowledge grounded conversation dataset with two speakers conversing based on movie Wikipedia articles.

The Natural Questions dataset consists of questions extracted from web queries, with each question accompanied by a corresponding Wikipedia article containing the answer.

The ORES dataset is a machine learning-based web service for Wikimedia projects such as Wikipedia. It provides a model for detecting damaging edits.

Wizard of Wikipedia is a recent, large-scale dataset of multi-turn knowledge-grounded dialogues between a “apprentice” and a “wizard”, who has access to information from...

Word2Vec is a distributed word embedding generator that uses an artificial neural network to learn dense vector representations of words.

The Validation Dataset is used for validation, it contains 1428 images from nine distinct rooms.

Multilingual dataset for topic modeling based on aligned Wikipedia articles extracted from Wikipedia Comparable Corpora

A bipartite interaction graph that contains the edits on Wikipedia pages over a month.

The fr-wiki dataset is a Wikipedia dataset for French, containing 0.5GT.