in processing/create_dataset.py [0:0]
def gen_train_val(df, save_dir):
for index, row in df.iterrows():
file_name = row["index"]
label = row["label"]
file_dir = save_dir / label
if not os.path.exists(file_dir):
os.makedirs(file_dir)
with open(f"{file_dir}/{file_name}.txt", 'w') as f:
f.write(row["text"])