However, you can use Azure Data Factory to copy the result of a Data Connect pipeline into another storage mechanism such as Azure SQL Database.
The aim is to find learning models that use the comments to improve.
With more than 100,000 question-answer pairs on more than 500 articles, SQuAD is significantly larger than previous reading comprehension datasets.
Question-Answer Datasets for Chatbot Training : The WikiQA Corpus was made publicly available in 2015, and has been updated several times since its inception.
The annotations have the options of a long answer that is seleced from span of major content entities in the Wikipedia article e.
Generally, I recommend one so that you can encompass all the things that the chatbot can talk about at an intrapersonal level and separate it from the specific skills that the chatbot actually has.
To this end, we firstly construct a Multimodal Sentiment Chat Translation Dataset MSCTD containing 142,871 English-Chinese utterance pairs in 14,762 bilingual dialogues and 30,370 English-German utterance pairs in 3,079 bilingual dialogues.
Question answering systems provide real-time answers that are essential and can be said as an important ability for understanding and reasoning.