def ask_questions(list_of_questions): import random order = list(range(len(questions))) random.shuffle(order) end_test = False num_questions = len(q) score = 0 while not end_test: num_skipped = []

There's also a notebook that explains some of the techniques used to generate the data as well as some experiments we ran to improve it.

## Data
In the data folder, you can find the raw data and the generated data (`raw.json` and `data.json` respectively).

The raw data is the data we got from the parser, that is, the code, the errors and the corrections. The generated data is the same data, but transformed into a format that's easier to work with when training models.

The format of the generated data is like this: