8 datasets found

Groups: Question Answering Organizations: No Organization

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  • 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...

  • YAGO3-10

    Knowledge graphs are composed of different elements: entity nodes, relation edges, and literal nodes. Each literal node contains an entity’s attribute value (e.g. the height of...

  • Wikidata

    The dataset used in the paper is Wikidata, which contains a large number of entities and their corresponding semantic types.

  • DBpedia

    DBpedia is a public knowledge graph which is derived from structured information in Wikipedia, mainly infoboxes.

  • FB15k-237

    Knowledge graphs (KGs) are collections of facts. Some well-known knowledge graphs include Freebase (Bollacker et al., 2008), Word-Net (Miller, 1995), YAGO (Suchanek et al.,...

  • WN18RR

    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...

  • 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...