This project is aimed to work on datasets with the following columns(separated by tabs):

• question: String of any length without \n, \t
• answer: same as above
• context: same as above
• value: 1 or 0 expressing whether given the question the answer is correct

Given a dataset the recommendation is to place it in the following manner: -create a "dataset_name" folder in the root of the project -create 2 folders in it called "data" and "structures" -place the dataset in a file called "datum.txt" in the "data" folder

./
  dataset_name
    structures
    data
      datum.txt

• In order to split the dataset into training and testing run splitDatum.py
• For training a model run trainModel.py (remember to call the preprocessData function at least once on a new dataset. The process might take a while(20-30 mins) as it converts every word to it's lemma.
• For checking the results of your model run checkModel.py (remember to use the name of the weights file that you want to test)

python 3.5 tensorflow keras pandas numpy nltk