import json import datasets class MyDatasetConfig(datasets.BuilderConfig): def __init__(self, **kwargs): super(MyDatasetConfig, self).__init__(**kwargs) class MyDataset(datasets.GeneratorBasedBuilder): BUILDER_CONFIGS = [ MyDatasetConfig(name="master_device-attributes", version=datasets.Version("1.0.0"), description="Master Device Attributes."), MyDatasetConfig(name="qubit-transmomcross", version=datasets.Version("1.0.0"), description="Qubit Transmom Cross simulation results."), MyDatasetConfig(name="coupler-Ncap-cap_matrix", version=datasets.Version("1.0.0"), description="Coupler NCap Cap Matrix simulation results."), MyDatasetConfig(name="cavity_claw-RouteMeander-eigenmode", version=datasets.Version("1.0.0"), description="Cavity Claw Route Meander Eigenmode simulation results."), MyDatasetConfig(name="coupler-CapNInterdigitalTee-cap_matrix", version=datasets.Version("1.0.0"), description="Coupler CapN Interdigital Tee simulation"), ] def _info(self): return datasets.DatasetInfo( features=datasets.Features({ "Qubit": datasets.Value("int32"), "F_res_GHz": datasets.Value("string"), "F_01_GHz": datasets.Value("string"), "Alpha_2pi_MHz": datasets.Value("string"), "Punchout_shift_MHz": datasets.Value("string"), "Extracted_g_MHz": datasets.Value("string"), "Estimated_Dispersive_Shift_KHz": datasets.Value("string"), "L_j_nH": datasets.Value("string"), "kappa": datasets.Value("string"), }), ) def _split_generators(self, dl_manager): urls_to_download = { "master_device-attributes": "C:\Users\Liz\OneDrive\Documents\HuggingFace\SQuADDS_DB\master_device-attributes'", "qubit-transmomcross": "c:\Users\Liz\OneDrive\Documents\HuggingFace\SQuADDS_DB\qubit-TransmonCross-cap_matrix.json'", "coupler-Ncap-cap_matrix": "c:\Users\Liz\OneDrive\Documents\HuggingFace\SQuADDS_DB\coupler-NCap-cap_matrix.json", "cavity_claw-RouteMeander-eigenmode": "c:\Users\Liz\OneDrive\Documents\HuggingFace\SQuADDS_DB\cavity_claw-RouteMeander-eigenmode.json", "coupler-CapNInterdigitalTee-cap_matrix": "c:\Users\Liz\OneDrive\Documents\HuggingFace\SQuADDS_DB\coupler-CapNInterdigitalTee-cap_matrix.json", } downloaded_files = dl_manager.download_and_extract(urls_to_download) if self.config.name == "master_device-attributes": return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"file_path": downloaded_files["master_device-attributes"]}), ] if self.config.name == "qubit-transmomcross": return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"file_path": downloaded_files["qubit-transmomcross"]}), ] if self.config.name == "coupler-Ncap-cap_matrix": return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"file_path": downloaded_files["coupler-Ncap-cap_matrix"]}), ] if self.config.name == "cavity_claw-RouteMeander-eigenmode": return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"file_path": downloaded_files["cavity_claw-RouteMeander-eigenmode"]}), ] if self.config.name == "coupler-CapNInterdigitalTee-cap_matrix": return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"file_path": downloaded_files["coupler-CapNInterdigitalTee-cap_matrix"]}), ] def _generate_examples(self, file_path): with open(file_path, encoding="utf-8") as f: data = json.load(f) for id_, row in enumerate(data): yield id_, row