-
SimpQ dataset for Question Answering
The SimpQ dataset contains questions answerable using various knowledge graphs. -
AMR-to-Text dataset for Abstract Meaning Representations
The AMR-to-Text dataset contains questions answerable using Abstract Meaning Representations. -
SimpleQuestions dataset for Question Answering
The SimpleQuestions dataset contains questions answerable using various knowledge graphs. -
ComplexWebQuestions dataset for Freebase
The ComplexWebQuestions dataset contains questions answerable using Freebase as the knowledge graph. -
WebQuestions dataset for Google Suggest
The WebQuestions dataset contains questions answerable using Google Suggest as the knowledge graph. -
Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation
This paper makes one of the first efforts toward automatically generating complex questions from knowledge graphs. -
QUERY2BOX: REASONING OVER KNOWLEDGE GRAPHS IN VECTOR SPACE USING BOX EMBEDDINGS
Answering complex logical queries on large-scale incomplete knowledge graphs (KGs) is a fundamental yet challenging task. Recently, a promising approach to this problem has been... -
Modality-Aware Integration with Large Language Models for Knowledge-based Vis...
Knowledge-based visual question answering (KVQA) has been extensively studied to answer visual questions with external knowledge, e.g., knowledge graphs (KGs). -
Conceptual Inconsistencies in Large Language Models
The dataset consists of 119 clusters, with a total of 584 questions, which include 4 different linguistic forms per query, so we have approximately 146 semantically different... -
SimpleQuestion dataset for Wikidata
The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...
