Datasets:
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| 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() | |