Since the advent of SQuAD The freely available dataset is of interest for a wide community of Semantic Web, Existing KBQA datasets are almost exclusively English, with Chinese MSParS dataset being an exception There are several studies on knowledge base question generation The dataset generation pipeline consists of the following steps: 1) data gathering and cleaning; 2) entity linking in answers and questions; 3) verification of answer entities by crowd workers; 4) generation of paths between answer entities and question candidate entities; 5) in-house verification/editing of generated paths. 300 RuBQ questions are unanswerable, which poses a new challenge for KBQA systems and makes the task more realistic. Free 30 Day Trial A data set (or dataset) is a collection of data.In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question. Active 5 days ago. Thus, we decided to perform an in-house verification of the generated paths. In addition, the smaller dataset lowers the threshold for KBQA experiments. By using our site, you acknowledge that you have read and understand our The work was performed by the authors of the paper.After sending queries to the Wikidata endpoint, we were able to find chains of length one or two for 3,194 questions; the remaining 6,461 questions were left unmatched. (KBQA) dataset.
Out of 1,255 date and numerical answers, 683 were linked to a Wikidata entity such as a particular year. ... The provided baselines demonstrate the feasibility of the cross-lingual approach in KBQA, but at the same time indicate there is ample room for improvements. Table We presented RuBQ – the first Russian dataset for Question Answering over Wikidata. A possible downside of the approach is a lower share of literals (dates and numerical values) in the annotated answers. original question in Russian, We now provide LC-QuAD 2.0 (Large-Scale Complex Question Answering Dataset) with 30,000 questions, their paraphrases and their corresponding SPARQL queries. These adversarial examples are akin to unanswerable questions in the second edition of SQuAD dataset Our dataset has 1,500 unique questions in total. The content is available under a free license, exported using standard formats, and can be interlinked to other open data sets on the linked data web.

What is this sentence about? This dataset has been published on July 16, 2020 and updated on July 16, 2020 on the initiative and under the responsibility of Paul-Antoine Chevalier Pour compléter le dictionnaire des sigles , ce jeu de données vise à extraire des sigles issus de Wikidata.

Most approaches that search through training data for empirical relationships tend to overfit the data, meaning that they can identify and exploit apparent relationships in the training data that do not hold in general. Wikidata, reference answers, as well as a Wikidata sample of triples containing QA received a great deal of attention both in academia and industry. For the rest 2,328 questions, we verified 3,591 2-hop candidates, but only 55 of them were deemed correct. In what follows we elaborate on these steps.We mined about 150,000 Q&A pairs from several open Russian quiz collections on the Web.We implemented an IR-based approach for generating Wikidata entity candidates mentioned in answers and questions. The average length of the original questions is 7.99 words (median 7); machine-translated English questions are 10.58 words on average (median 10). The biggest data set available for complex questions (LCQuAD) over knowledge graphs contains five thousand questions. I would like to know from where I can get the SPARQL CONSTRUCT and ASK queries for Linked Movie Database and Wikidata (RDF Dataset), I would be glad if anyone point me on right direction, because its part of my research, to collect the above said queries.Thanks for contributing an answer to Stack Overflow! To increase the share of complex questions in the dataset, we manually constructed SPARQL queries for them.Finally, we added 300 questions marked as non-answerable over Wikidata, although their answers are present in the knowledge base.

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