generate_dataset.py

from functools import partial
from glob import glob
from typing import Iterable, Optional

from datasets import Dataset


def is_query(text: str):
    n_question = text.count("?")
    n_statement = text.count(".")
    if n_question + n_statement < 2:
        return False
    if n_question > (n_statement * 0.5):
        return True


def first_answer(answers: list[str]) -> Optional[str]:
    for answer in answers:
        if answer and (not is_query(answer)) and ("tak" not in answer.lower()):
            return answer
    return None


def generate_dataset(threads: list[list[str]]) -> Iterable[dict]:
    for thread in threads:
        question = thread[0]
        if is_query(question):
            answer = first_answer(thread[1:])
            if answer:
                yield {"question": question, "answer": answer}


def main():
    files = glob("dagw/sektioner/hest/hest_forum*")
    threads = []
    for file in files:
        with open(file) as in_file:
            threads.append(in_file.read().split("\n"))
    dataset = Dataset.from_generator(partial(generate_dataset, threads))
    dataset = dataset.train_test_split(test_size=0.2, shuffle=True)
    dataset.push_to_hub("kardosdrur/hestenet-qa")


if __name__ == "__main__":
    main()