| 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") | |