Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
multi-class-classification
Size:
100K - 1M
License:
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], | |
} |