| from utils import parse, write_jsonl_file, read_json_file | |
| import os | |
| label2emotion = { | |
| "fru": "frustrated", | |
| "ang": "angry", | |
| "neu": "neutral", | |
| "exc": "excited", | |
| "hap": "happy", | |
| "sad": "sad", | |
| } | |
| def preprocess(args, split): | |
| input_dir = os.path.join(args.input_dir, f"{split}_data.json") | |
| data = read_json_file(input_dir) | |
| dialogues = [] | |
| cnt = 0 | |
| for dialogue in data: | |
| dial = {"turn": "multi", "locale": "en", "dialog": []} | |
| for turn in dialogue: | |
| _turn = { | |
| "roles": [turn["speaker"]], | |
| "utterance": turn["text"], | |
| } | |
| if "label" in turn: | |
| _turn["emotions"] = [{"emotion": label2emotion[turn["label"]]}] | |
| cnt += 1 | |
| dial["dialog"].append(_turn) | |
| dialogues.append(dial) | |
| write_jsonl_file(dialogues, os.path.join(args.output_dir, f"{split}.jsonl")) | |
| if __name__ == "__main__": | |
| args = parse() | |
| preprocess(args, "train") | |
| preprocess(args, "dev") | |
| preprocess(args, "test") | |