DialogZoo / src /preprocess /MKQA_integrated.py
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data preprocessing update
a6326c7
import os
from utils import read_jsonl_file, write_jsonl_file, parse
'''
This is script is used to process the whole file of MKQA
Every two sentences (QA objects) in a line share the same 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())
pack = []
for line in data:
for locale in locales:
t = {
"turn": "multi",
"locale": locale,
"dialog": []
}
que = {
"role": "question",
"utterance": line["queries"][locale]
}
ans = {
"role": "answer",
"utterance": line["answers"][locale][0]["text"]
}
t["dialog"].append(que)
t["dialog"].append(ans)
pack.append(t)
write_jsonl_file(pack, os.path.join(args.output_dir, "mkqa_preprocessed.jsonl"))
if __name__ == "__main__":
args = parse()
preprocess(args)