77 datasets found

Large-scale passage retrieval aims to fetch relevant passages from a million- or billion-scale collection for a given query to meet users’ information needs, serving as an...

Knowledge graphs store a wealth of knowledge from the real world into structured graphs, which consist of collections of triplets, and each triplet (h, r, t) represents that...

The dataset used in the paper is a multiple-choice reading comprehension dataset, which includes a passage, question, and answer. The passage is a script, and the question is a...

The dataset used in the paper is a collection of data for the Simple Question dataset, which contains questions answerable using Wikidata as the knowledge graph.

Collective classification in network data.

FUNSD dataset contains questions answerable using Wikidata as the knowledge graph, focusing on questions with a single entity and relation.

CORD dataset contains questions answerable using Wikidata as the knowledge graph, focusing on questions with a single entity and relation.

The dataset is used for neural collaborative filtering, which is a type of collaborative filtering that uses neural networks to learn the relationships between users and items.

The IMDB-RLHF-Pair dataset is generated by IMDB, and responses with positive sentiment are preferred.

The Stack-Exchange-Paired dataset contains questions and answers from the Stack Overflow dataset, where answers with more votes are preferred.

The dataset used in the paper is a synthetic dataset for off-policy contextual bandits, with contexts x ∈ X, a finite set of actions A, and bounded real rewards r ∈ A → [0, 1].

A collection of heterogeneous visual reasoning data sets and an interesting benchmark for two reasons: First, visual reasoning programs tend to be large (in current program...

The Cora and Citeseer datasets are used for training machine learning models to classify documents into different categories.

Motion has shown to be useful for video understanding, where motion is typically represented by optical flow. However, computing flow from video frames is very time-consuming....

The Quora Question Pairs dataset contains 404k English question pairs on Quora, created to test the abilities of the models to understand the semantics from text, and determine...

The dataset used in this paper is a collection of questions and answers related to adaptive learning and generative AI.

The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...