src/preprocess/MKQA_seperated .py

import os
from utils import read_jsonl_file, write_jsonl_file, parse

'''
This script can divide the whole dataset into 26 parts via language
'''

def preprocess(args):
    path = os.path.join(args.input_dir, "mkqa.jsonl")
    data = read_jsonl_file(path)
    '''
    add add train/eval/test instruction and language chosen
    '''
    locales = list(data[0]["answers"].keys())
    
    for locale in locales:
        turns = []
        
        for QA in data:
            t = {"turn": "single",
                 "dialog": [],
                 "knowledge": None,
                 "goal": None,
                 "QA": None}
            
            que = {"role": "ROLE1",
                   "utterance": QA["queries"][locale],
                   "utter_trans": QA["query"],   # new feature
                   "slot_value_table": [],
                   "summary": None,
                   "locale": locale,
                   "scenario": None,
                   "intent": None,
                   "topic": None,
                   "answer": None}

            # alternate answers
            aliases = [] if "aliases" not in QA["answers"][locale][0] else QA["answers"][locale][0]["aliases"]

            ans_svt = {"slot": QA["answers"][locale][0]["type"],
                       "value": QA["answers"][locale][0]["text"],
                       "act": None,
                       "aliases": aliases}
            
            ans = {"role": "ROLE2",
                   "utterance": ans_svt["value"],
                   "utter_trans": QA["answers"]["en"][0]["text"],  # new feature
                   "slot_value_table": ans_svt,
                   "summary": None,
                   "locale": locale,
                   "scenario": None,
                   "intent": None,
                   "topic": None,
                   "answer": ans_svt["value"]}
            
            t["dialog"].append(que)
            t["dialog"].append(ans)
        
            turns.append(t)
        
        write_jsonl_file(turns, os.path.join(args.output_dir, locale + ".jsonl"))


if __name__ == "__main__":
    args = parse()
    preprocess(args)