src/preprocess/E2E.py

import os
from utils import read_csv_file, parse, write_jsonl_file


def parse_knowledge(mr):
    svt = mr.split(",")
    knowledge = dict()

    for svp in svt:
        slot, value = svp.strip().split("[")

        assert value[-1] == "]"
        slot = slot.strip()
        value = value[:-1].strip()

        knowledge[slot] = value

    return {"type": "dict", "value": knowledge}


def preprocess(args, split):
    if split != "test":
        infile = os.path.join(args.input_dir, f"{split}set.csv")
    else:
        infile = os.path.join(args.input_dir, "testset_w_refs.csv")

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

    processed_data = []
    data = read_csv_file(infile)
    mrs = data["mr"].values
    refs = data["refs"] = data["ref"].values

    mr2refs = dict()

    for mr, ref in zip(mrs, refs):
        if mr not in mr2refs:
            mr2refs[mr] = []
        mr2refs[mr].append(ref)

    for mr in mr2refs:
        refs = mr2refs[mr]
        dial = {
            "turn": "single",
            "locale": "en",
            "dialog": [],
            "knowledge": parse_knowledge(mr),
        }

        for ref in refs:
            dial["dialog"].append({"roles": ["SYSTEM"], "utterance": ref.strip()})

        processed_data.append(dial)

    write_jsonl_file(processed_data, outfile)


if __name__ == "__main__":
    args = parse()
    preprocess(args, "train")
    preprocess(args, "dev")
    preprocess(args, "test")