Hi Suppose I have to create QnA on different topics and subjects for students (one of many other’s features of LMS chatbot), In nlu training can my whole one question is One Intent and Its answer will be its response and I do the training as
Intent: What are the organic chemical groups that compose carbohydrates? How are carbohydrates classified according to the presence of those groups?
Text: Carbohydrates are also known as sugars (starches, cellulose and other substances are also carbohydrates). Carbohydrates are polyhydroxy aldehydes or polyhydroxy ketones (polyalcohol aldehydes or polyalcohol ketones). Polyhydroxylated aldehydes are called aldoses and polyhydroxylated ketones are called ketoses.
Now my second question is if I want to use Stanford Q&A json to clean dataframe | Kaggle , I have to do some data processing and separate out relevant QnA and do the same above work for nlu training, is I am right?
Please I need urgent response.