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data preprocessing update
a6326c7
import os
from utils import write_jsonl_file, read_csv_file, parse
def get_knowledge(input_dir):
path = os.path.join(input_dir, "train_sent_emo.csv")
data = read_csv_file(path)
emotions = set()
for i in range(1, len(data)):
emotions.add(data.iloc[i][3])
return sorted(emotions)
def reformat(args, file):
path = os.path.join(args.input_dir, f"{file}_sent_emo.csv")
data = read_csv_file(path)
turns = []
for i in range(len(data)):
ds = data.iloc[i]
t = {
"turn": "single",
"locale": "en",
"dialog": [],
}
d = {
"roles": [ds[2]],
"utterance": ds[1],
"emotions": [{"emotion": ds[3], "sentiment": ds[4]}],
}
t["dialog"].append(d)
turns.append(t)
write_jsonl_file(turns, args.output_dir + "/" + file + ".jsonl")
if __name__ == "__main__":
args = parse()
reformat(args, "train")
reformat(args, "dev")
reformat(args, "test")