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import os
from utils import read_json_file, parse, write_jsonl_file
import pandas as pd
idx2emotions = [
"admiration",
"amusement",
"anger",
"annoyance",
"approval",
"caring",
"confusion",
"curiosity",
"desire",
"disappointment",
"disapproval",
"disgust",
"embarrassment",
"excitement",
"fear",
"gratitude",
"grief",
"joy",
"love",
"nervousness",
"optimism",
"pride",
"realization",
"relief",
"remorse",
"sadness",
"surprise",
]
def preprocess(args, split):
output_file = os.path.join(args.output_dir, f"{split}.jsonl")
if split == "dev":
split = "valid"
input_file = os.path.join(args.input_dir, f"{split}.csv")
data = pd.read_csv(input_file)
utterances = data["text"].values
emotion_ids = data["label"].values
processed_data = []
for index, utterance in enumerate(utterances):
dialogue = {
"turn": "single",
"locale": "en",
"dialog": [{"roles": ["USER"], "utterance": utterance, "emotions": []}],
}
dialogue["dialog"][-1]["emotions"].append(
{"emotion": idx2emotions[emotion_ids[index]]}
)
processed_data.append(dialogue)
write_jsonl_file(processed_data, output_file)
if __name__ == "__main__":
args = parse()
preprocess(args, "train")
preprocess(args, "dev")
preprocess(args, "test")
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