DialogZoo / src /preprocess /DialogSum.py
AnAutomaticPencil's picture
data preprocessing update
a6326c7
import re
from utils import (
read_json_file,
read_jsonl_file,
write_json_file,
write_jsonl_file,
parse,
)
def preprocess_for_train_and_dev(args, file):
path = args.input_dir + "/" + file
data = read_jsonl_file(path)
turns = []
for i in range(len(data)):
t = {
"turn": "multi",
"domain": [data[i]["topic"]],
"locale": "en",
"dialog": [],
"summary": "",
}
dialogues = re.split("\\n|\\r\\n", data[i]["dialogue"])
for dialog in dialogues:
ro = re.search("(#.+#): ", dialog)
ru = re.split("#:", dialog)
if ro.group(1) is None:
print(dialog)
exit()
d = {"roles": [ro.group(1)], "utterance": ru[1].strip()}
t["dialog"].append(d)
t["summary"] = data[i]["summary"]
turns.append(t)
write_jsonl_file(turns, args.output_dir + "/" + file)
def preprocess_for_test(args, file):
path = args.input_dir + "/" + file
data = read_jsonl_file(path)
turns = []
for i in range(len(data)):
t = {
"turn": "multi",
"domain": [data[i]["topic1"], data[i]["topic2"], data[i]["topic3"]],
"locale": "en",
"dialog": [],
"summary": "",
}
dialogues = re.split("\\n|\\r\\n", data[i]["dialogue"])
for dialog in dialogues:
ro = re.search("(#.+#):", dialog)
ru = re.split("#:", dialog)
if ro is None:
print(dialog)
exit()
d = {"roles": [ro.group(1)], "utterance": ru[1].strip()}
t["dialog"].append(d)
t["summary"] = "__multi_ref_sep__".join(
[data[i]["summary1"], data[i]["summary2"], data[i]["summary3"]]
)
turns.append(t)
write_jsonl_file(turns, args.output_dir + "/" + file)
def preprocess(args):
preprocess_for_train_and_dev(args, "dialogsum.train.jsonl")
preprocess_for_train_and_dev(args, "dialogsum.dev.jsonl")
preprocess_for_test(args, "dialogsum.test.jsonl")
if __name__ == "__main__":
args = parse()
preprocess(args)