src/NLI.py

import sys

sys.path.append("modules/preprocess")

from preprocessor.SerialPreprocessor import SerialConfig, SerialPreprocessor
from const import (
    NATURAL_LANGUAGE_INFERENCE,
)
from preprocessor.prompt_funcs import const_prompt_func_wrapper
from preprocessor.knowledge_funcs import extract_dict_knowledge_wrapper
from preprocessor.label_funs import (
    extract_options,
)

if __name__ == "__main__":
    TASK = NATURAL_LANGUAGE_INFERENCE
    input_data_path = sys.argv[1]
    output_data_path = sys.argv[2]
    serial_proc = SerialPreprocessor(
        SerialConfig(
            input_data_path,
            output_data_path,
            TASK,
            logger_name=TASK,
            task_bos_token=f"[{TASK}]",
            prompt_func=const_prompt_func_wrapper("Generate the better hypothesis."),
            knowledge_func=extract_dict_knowledge_wrapper(": ", " | "),
            # knowledge_func=None_knowledge,
            label_func=extract_options,
        )
    )

    serial_proc.launch()