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data preprocessing update
a6326c7
from utils import (
read_jsonl_file,
write_jsonl_file,
parse,
)
label2relation = {
"1": "Child and Parent",
"2": "Child and Other Family Elder",
"3": "Siblings",
"4": "Spouse",
"5": "Lovers",
"6": "Courtship",
"7": "Friends",
"8": "Neighbors",
"9": "Roommates",
"10": "Workplace Superior and Subordinate",
"11": "Colleague or Partners",
"12": "Opponents",
"13": "Professional Contact",
}
def reformat(args, file):
path = args.input_dir + "/" + file + ".txt"
data = read_jsonl_file(path)
turns = []
for i in range(len(data)):
t = {"turn": "multi", "locale": "en", "dialog": []}
AB2name = {"A": data[i]["nameA"], "B": data[i]["nameB"]}
for c in data[i]["context"]:
role = c[0]
utterance = c[2:].strip()
# one bad case
if role not in AB2name:
role = "B"
utterance = c
d = {"roles": [AB2name[role]], "utterance": utterance}
t["dialog"].append(d)
t["role_relations"] = [{"relation": label2relation[data[i]["label"]]}]
turns.append(t)
write_jsonl_file(turns, args.output_dir + "/" + file + ".jsonl")
def preprocess(args):
reformat(args, "train")
reformat(args, "dev")
reformat(args, "test")
if __name__ == "__main__":
args = parse()
preprocess(args)