src/preprocess/EmpathicDialogue.py

import os
from utils import write_jsonl_file, parse


def reformat(args, split):
    infile = os.path.join(args.input_dir, f"{split}.csv")

    if split == "valid":
        split = "dev"

    outfile = os.path.join(args.output_dir, f"{split}.jsonl")

    processed_data = []
    conv_id = None
    dialogue = {"turn": "multi", "locale": "en", "dialog": []}
    roles = ["Speaker", "Listener"]
    turn_idx = -1

    with open(infile, "r", encoding="UTF-8") as reader:
        # skip the first header line
        reader.readline()
        for line in reader:
            if not line.strip():
                continue

            parts = line.strip().split(",")

            if conv_id is not None and parts[0] == conv_id:
                turn_idx += 1
                dialogue["dialog"].append(
                    {
                        "roles": [roles[turn_idx % 2]],
                        "utterance": parts[5].replace("_comma_", ","),
                    }
                )
            # next dialogue
            else:
                # save previous dialogue
                if conv_id is not None:
                    processed_data.append(dialogue)

                # current dialogue
                turn_idx = 0
                conv_id = parts[0]

                dialogue = {
                    "turn": "multi",
                    "locale": "en",
                    "dialog": [
                        {
                            "roles": [roles[turn_idx % 2]],
                            "utterance": parts[5].replace("_comma_", ","),
                        }
                    ],
                    "knowledge": {
                        "type": "dict",
                        "value": {
                            "emotion": parts[2],
                            "passage": parts[3].replace("_comma_", ","),
                        },
                    },
                }

        if conv_id is not None:
            processed_data.append(dialogue)

    write_jsonl_file(processed_data, outfile)


def preprocess(args):
    reformat(args, "train")
    reformat(args, "valid")
    reformat(args, "test")


if __name__ == "__main__":
    args = parse()
    preprocess(args)