| | import sys |
| |
|
| | sys.path.append("modules/preprocess") |
| |
|
| | from preprocessor.SerialPreprocessor import SerialConfig, SerialPreprocessor |
| | from const import ( |
| | DATA_TO_TEXT, MULTI_REF_SEP |
| | ) |
| | from preprocessor.prompt_funcs import const_prompt_func_wrapper |
| | from preprocessor.knowledge_funcs import ( |
| | extract_dict_knowledge_wrapper, |
| | ) |
| | from preprocessor.label_funs import ( |
| | extract_turn_utterance, |
| | ) |
| | import sys |
| |
|
| | if __name__ == "__main__": |
| | |
| | TASK = DATA_TO_TEXT |
| | 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 corresponding text based on the given knowledge." |
| | ), |
| | knowledge_func=extract_dict_knowledge_wrapper(": ", " | "), |
| | label_func=extract_turn_utterance, |
| | roles_in_history=[], |
| | multi_ref_sep=MULTI_REF_SEP |
| | ) |
| | ) |
| |
|
| | serial_proc.launch() |
| |
|