import os import sys import csv import datasets csv.field_size_limit(sys.maxsize) _DESCRIPTION = "JEMMA Java CMPX" _CITATION = "NOT AVAILABLE" _HOMEPAGE = "NOT AVAILABLE" _LICENSE = "MIT" _BASE_TRAIN_FILE_URL = "https://huggingface.co/datasets/giganticode/java-cmpx/resolve/main/Jemma_Properties_Methods_CMPX__Huggingface_Dataset_TRAIN.csv" _BASE_TEST_FILE_URL = "https://huggingface.co/datasets/giganticode/java-cmpx/resolve/main/Jemma_Properties_Methods_CMPX__Huggingface_Dataset_TEST.csv" _URLS = { "train": _BASE_TRAIN_FILE_URL, "test": _BASE_TEST_FILE_URL } class JavaCMPX(datasets.GeneratorBasedBuilder): """Java CMPX""" def _info(self): """Returns Info""" return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features( { "method_id": datasets.Value("string"), "cyclomatic_complexity": datasets.Value("int32"), "method_text": datasets.Value("string") } ), homepage=_HOMEPAGE, license=_LICENSE, citation=_CITATION, ) def _split_generators(self, dl_manager): """Returns SplitGenerators""" data_file = dl_manager.download(_URLS) return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_file["train"]}), datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_file["test"]}), ] def _generate_examples(self, filepath): """Yields Examples""" with open(filepath, encoding="utf-8") as f: reader = csv.reader(f) for id_, row in enumerate(reader): if id_ == 0: continue yield id_, { "method_id": row[0], "cyclomatic_complexity": row[1], "method_text": row[2], }