|
from typing import List |
|
|
|
import datasets |
|
|
|
from .common import TrainValidTestChild |
|
from .generated_definitions import DEFINITIONS |
|
|
|
|
|
_DESCRIPTION = """The dataset is collected from several public repos, including Lucene(http://lucene.apache.org/), POI(http://poi.apache.org/), JGit(https://github.com/eclipse/jgit/) and Antlr(https://github.com/antlr/). |
|
We collect both the Java and C# versions of the codes and find the parallel functions. After removing duplicates and functions with the empty body, we split the whole dataset into training, validation and test sets.""" |
|
_CITATION = """@article{DBLP:journals/corr/abs-2102-04664, |
|
author = {Shuai Lu and |
|
Daya Guo and |
|
Shuo Ren and |
|
Junjie Huang and |
|
Alexey Svyatkovskiy and |
|
Ambrosio Blanco and |
|
Colin B. Clement and |
|
Dawn Drain and |
|
Daxin Jiang and |
|
Duyu Tang and |
|
Ge Li and |
|
Lidong Zhou and |
|
Linjun Shou and |
|
Long Zhou and |
|
Michele Tufano and |
|
Ming Gong and |
|
Ming Zhou and |
|
Nan Duan and |
|
Neel Sundaresan and |
|
Shao Kun Deng and |
|
Shengyu Fu and |
|
Shujie Liu}, |
|
title = {CodeXGLUE: {A} Machine Learning Benchmark Dataset for Code Understanding |
|
and Generation}, |
|
journal = {CoRR}, |
|
volume = {abs/2102.04664}, |
|
year = {2021} |
|
}""" |
|
|
|
|
|
class CodeXGlueCcCodeToCodeTransImpl(TrainValidTestChild): |
|
_DESCRIPTION = _DESCRIPTION |
|
_CITATION = _CITATION |
|
|
|
_FEATURES = { |
|
"id": datasets.Value("int32"), |
|
"java": datasets.Value("string"), |
|
"cs": datasets.Value("string"), |
|
} |
|
|
|
def generate_urls(self, split_name): |
|
for key in "cs", "java": |
|
yield key, f"{split_name}.java-cs.txt.{key}" |
|
|
|
def _generate_examples(self, split_name, file_paths): |
|
"""This function returns the examples in the raw (text) form.""" |
|
|
|
files = {k: open(file_paths[k], encoding="utf-8") for k in file_paths} |
|
|
|
id_ = 0 |
|
while True: |
|
|
|
entries = {k: files[k].readline() for k in file_paths} |
|
|
|
empty = self.check_empty(entries) |
|
if empty: |
|
|
|
return |
|
|
|
entries["id"] = id_ |
|
yield id_, entries |
|
id_ += 1 |
|
|
|
|
|
CLASS_MAPPING = { |
|
"CodeXGlueCcCodeToCodeTrans": CodeXGlueCcCodeToCodeTransImpl, |
|
} |
|
|
|
|
|
class CodeXGlueCcCodeToCodeTrans(datasets.GeneratorBasedBuilder): |
|
BUILDER_CONFIG_CLASS = datasets.BuilderConfig |
|
BUILDER_CONFIGS = [ |
|
datasets.BuilderConfig(name=name, description=info["description"]) for name, info in DEFINITIONS.items() |
|
] |
|
|
|
def _info(self): |
|
name = self.config.name |
|
info = DEFINITIONS[name] |
|
if info["class_name"] in CLASS_MAPPING: |
|
self.child = CLASS_MAPPING[info["class_name"]](info) |
|
else: |
|
raise RuntimeError(f"Unknown python class for dataset configuration {name}") |
|
ret = self.child._info() |
|
return ret |
|
|
|
def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: |
|
return self.child._split_generators(dl_manager=dl_manager) |
|
|
|
def _generate_examples(self, split_name, file_paths): |
|
return self.child._generate_examples(split_name, file_paths) |
|
|