The WebQuestionsSP dataset is released as part of our ACL-2016 paper “The Value of Semantic Parse Labeling for Knowledge Base Question Answering” [Yih, Richardson, Meek, Chang & Suh, 2016], in which we evaluated the value of gathering semantic parses,
The WebQuestionsSP dataset is released as part of our ACL-2016 paper “The Value of Semantic Parse Labeling for Knowledge Base Question Answering” [Yih, Richardson, Meek, Chang & Suh, 2016], in which we evaluated the value of gathering semantic parses,
main/ has the dataset splits as distributed. d-dump/ has question dumps from YodaQA. d-freebase/ has mappings from question to single Freebase key, as distributed with the original WebQuestions dataset. d-freebase-mids/ has Freebase mids for each concept in each question, based on YodaQA ...
This is a development version of the dataset. If you use it, please cite the Git repository and date + shortid of the last commit. There are no stability guarantees yet both regarding the data format and the actual set of questions. This dataset is distributed under the terms of the CC-...
数据集地址:WebQuestions QA Benchmarking Dataset|问答系统数据集|基准测试数据集 数据集:SQuAD发布时间:2016-06数据集内容:SQuAD(Stanford Question Answering Dataset)是一个用于机器阅读理解的数据集,包含超过10万个问题和对应的答案,这些问题和答案是从维基百科文章中提取的。数据集的目标是评估模型在给定一段文本的...
WebQuestions Semantic Parses Dataset The WebQuestionsSP dataset is released as part of our ACL-2016 paper “The Value of Semantic Parse Labeling for Knowledge Base Question Answering” [Yih, Richardson, Meek, Chang & Suh, 2016], in which we evaluated the value of gathering semantic parses, ...
The system checks the dataset for keywords, categorizes the questions, and places them into the appropriate question template. The automated question generation system successfully generated a total of 2468 questions. During the testing phase, 2132 questions were deemed acceptable according to their ...
Here is an example from the dataset: 'The quck BROWN FOX jumps over the lazy dog.' Which of the following are the operations the Specialist needs to perform to correctly sanitize and prepare the data in a repeatable manner? (Choose three.)...
We construct a novel dataset and propose a classification approach that is based on the notion of similar questions. This approach is compared to state-of-the-art text classification baselines. Our main finding is that the similar questions approach is a viable alternative that can be used as ...
The test is called the Stanford Question Answering Dataset. It was developed by researchers at Stanford University in California. It has over 100,000 questions and answers. They are based on information found in over 500 stories from the Wikipedia website. The answers to all the ...