def main():
dataset = QuizBowlDataset(guesser_train=True)
questions = dataset.questions_by_fold([GUESSER_DEV_FOLD])
questions = questions[GUESSER_DEV_FOLD]
correct = 0
for question in tqdm(questions):
guess = recursive_guess(question.text[0], 3)
correct += (guess == question.page)
print(correct / len(questions))
def main():
dataset = QuizBowlDataset(guesser_train=True)
questions = dataset.questions_by_fold([GUESSER_DEV_FOLD])
questions = questions[GUESSER_DEV_FOLD]
correct = 0
for question in tqdm(questions):
guess = recursive_guess(question.text[0], 3)
correct += guess == question.page
print(correct / len(questions))
def test():
dataset = QuizBowlDataset(guesser_train=True)
questions = dataset.questions_by_fold([GUESSER_DEV_FOLD])
questions = questions[GUESSER_DEV_FOLD]
i = 10
question = questions[i]
guess = recursive_guess(question.text[0], k=1)
print(question.page)
print(question.text[0])
def test():
dataset = QuizBowlDataset(guesser_train=True)
questions = dataset.questions_by_fold([GUESSER_DEV_FOLD])
questions = questions[GUESSER_DEV_FOLD]
i = 10
question = questions[i]
guess = recursive_guess(question.text[0], k=1)
print(question.page)
print(question.text[0])
import json
from qanta.util.constants import GUESSER_DEV_FOLD
from qanta.datasets.quiz_bowl import QuizBowlDataset
''' Preprocess the questions from a database (like data/naqt.db) and extracts
the text, qid and answer. Stores the data in sample_questions.json '''
dataset = QuizBowlDataset(guesser_train=True, qb_question_db='data/naqt.db')
questions = dataset.questions_by_fold([GUESSER_DEV_FOLD])[GUESSER_DEV_FOLD]
def convert(q):
return {'qid': q.qnum, 'text': ' '.join(q.text.values()), 'answer': q.page}
questions = [convert(q) for q in questions]
with open('data/sample_questions.json', 'w') as f:
f.write(json.dumps(questions))
