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This code aims to convert a valid SPARQL query into a (or many) natural language questions. The incentive is to create a good dataset for QA system training, and achieve a scale which helps Neural Network based QA Systems too. We do this mostly by converting the query into a pseudo natural…
The main features of asknowqa/lc-quad are: Evaluation Benchmarks.
Open-source alternatives to asknowqa/lc-quad include: amazon-science/mintaka — Mintaka is a complex, natural, and multilingual question answering (QA) dataset composed of 20,000 question-answer… dki-lab/grailqa — This repository is structured as follows:. graphrag-bench/graphrag-benchmark — 🧩Task Examples. irenezihuili/cgprompt — This is the GitHub repo for the paper submission. jaylzhou/graphrag — If you find our work helpful, please kindly cite our paper. jerryzhao-z/simple-question-answering-with-memory-networks — Create the SETTINGS.json file in the root of the project containing settings from the SETTINGS.json.example. One have…
This is the GitHub repo for the paper submission.
Mintaka is a complex, natural, and multilingual question answering (QA) dataset composed of 20,000 question-answer pairs elicited from MTurk workers and annotated with Wikidata question and answer entities. Full details on the Mintaka dataset can be found in our paper:…
