def check_sponsorship_mapping(dataloader: DataLoader) -> DataStatus:
    """Validates sponsorship leagues to their parent mappings across parquet, json and hdf5"""
    statuses: list[StatusType] = []
    messages: list[str] = []

    sponsorship_parquet = pd.read_parquet(
        list((dataloader.parquet_dir / "sponsorship_mapping").glob("*.parquet"))[0]
    ).rename(columns={"league": "vehicle"})
    sponsorship_json = (
        pd.read_json(dataloader.json_dir / "sponsorship_mapping" / "sponsorship_mapping.json", orient="split")
        .reset_index(names="team")
        .rename(columns={"league": "vehicle"})[["parent_vehicle", "vehicle", "team"]]
    )
    sponsorship_vehicles_from_json = set(sponsorship_json.vehicle)
    sponsorship_vehicles_from_hdf5 = set([k for k in dataloader.encodings["vehicle"].keys() if k.startswith("league_")])
    if sponsorship_parquet.equals(sponsorship_json):
        statuses.append(StatusType.PASS)
    else:
        mismatch_data = (
            pd.MultiIndex.from_frame(sponsorship_json)
            .symmetric_difference(pd.MultiIndex.from_frame(sponsorship_parquet))
            .values
        )
        statuses.append(StatusType.FAIL)
        messages.append(f"Following data mismatch between parquet and json in sponsorship map : {mismatch_data}")
    if sponsorship_vehicles_from_hdf5.issubset(sponsorship_vehicles_from_json):
        statuses.append(StatusType.PASS)
    else:
        mismatch = list(sponsorship_vehicles_from_hdf5.difference(sponsorship_vehicles_from_json))
        statuses.append(StatusType.FAIL)
        messages.append(f"Following extra vehicles are in hdf5 and not in json for sponsorship map: {mismatch}")
    return DataStatus(
        status=StatusType.PASS if all(status == StatusType.PASS for status in statuses) else StatusType.FAIL,
        message="\n".join(messages),
    )