Provides detailed, graph-based annotations of social situations depicted in movie clips. Each graph consists of several types of nodes, to capture who is present in the clip, their emotional and physical attributes, their relationships (i.e., parent/child), and the interactions between them
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GraphQuestions is a characteristic-rich dataset designed for factoid question answering. Here are some key details about GraphQuestions: GraphQuestions consists of a set of 5,166 factoid questions. Each question is associated with logical forms and ground-truth answers.
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Worldtree is a corpus of explanation graphs, explanatory role ratings, and associated tablestore. It contains explanation graphs for 1,680 questions, and 4,950 tablestore rows across 62 semi-structured tables are provided. This data is intended to be paired with the AI2 Mercury Licensed questions.
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…EHR data are typically stored in a relational database, which can also be converted to a directed acyclic graph, allowing two approaches for EHR QA: Table-based QA and Knowledge Graph-based QA. MIMIC-SPARQL dataset provides graph-based EHR QA data where natural language queries are converted to SPARQL instead of SQL
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KG20C is a Knowledge Graph about high quality papers from 20 top computer science Conferences. It can serve as a standard benchmark dataset in scholarly data analysis for several tasks, including knowledge graph embedding, link prediction, recommendation systems, and question answering .
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A new benchmark dataset for simple question answering over knowledge graphs that was created by mapping SimpleQuestions entities and predicates from Freebase to DBpedia.
Contains 1000 semantic queries and the corresponding English, German and Portuguese verbalizations for EventKG - an event-centric knowledge graph with more than 970 thousand events.
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The Reddit dataset is a graph dataset from Reddit posts made in the month of September, 2014. The node label in this case is the community, or “subreddit”, that a post belongs to. 50 large communities have been sampled to build a post-to-post graph, connecting posts if the same user comments on
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…Source: [Question Answering Over Temporal Knowledge Graphs ]{https://arxiv.org/abs/2106.01515}
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ScienceExamCER is a collection of resources for studying explanation-centered inference, including explanation graphs for 1,680 questions, with 4,950 tablestore rows, and other analyses of the knowledge
…The images are synthetic, scientific-style figures from five classes: line plots, dot-line plots, vertical and horizontal bar graphs, and pie charts.
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…It was created by (a) generating questions with multiple answers from Wikipedia's knowledge graph and tables, (b) automatically pairing answers with supporting evidence in Wikipedia paragraphs, and (c)
…RoMQA contains clusters of questions that are derived from related constraints mined from the Wikidata knowledge graph.
…A bipartite graph connecting entities and documents is first built and the answer for each query is located by traversal on this graph.
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ConceptNet is a knowledge graph that connects words and phrases of natural language with labeled edges.
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ConvQuestions is the first realistic benchmark for conversational question answering over knowledge graphs. It contains 11,200 conversations which can be evaluated over Wikidata. For suitability to knowledge graphs, questions were constrained to be objective or factoid in nature, but no other restrictive guidelines were set.
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…2021] to generate 2D molecular graphs. We also remove texts with less than 4 words, and crops descriptions with more than 256 words.
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In this work we create a question answering dataset over the DBLP scholarly knowledge graph (KG).
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FreebaseQA is a data set for open-domain QA over the Freebase knowledge graph.
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…Most importantly we overcome the limitations of existing probing datasets by (1) having a larger variety of knowledge graph relations, (2) it contains single- and multi-token entities, (3) we use relations
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…Specifically, that authors construct a dialog grammar that is grounded in the scene graphs of the images from the CLEVR dataset.
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QALD-9-Plus Dataset Description QALD-9-Plus is the dataset for Knowledge Graph Question Answering (KGQA) based on well-known QALD-9.
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…However, certain areas in QA remain quite challenging for modern approaches, including the multi-hop one, which is traditionally considered an intersection of graph methods, knowledge representation, and
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