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xlcost-text-to-code / xlcost-text-to-code.py
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# coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""APPS dataset."""
import json
import datasets
_CITATION = """\
@misc{zhu2022xlcost,
title = {XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence},
url = {https://arxiv.org/abs/2206.08474},
author = {Zhu, Ming and Jain, Aneesh and Suresh, Karthik and Ravindran, Roshan and Tipirneni, Sindhu and Reddy, Chandan K.},
year = {2022},
eprint={2206.08474},
archivePrefix={arXiv}
}
"""
_DESCRIPTION = """\
XLCoST is a machine learning benchmark dataset that contains fine-grained parallel data in 7 commonly used programming languages (C++, Java, Python, C#, Javascript, PHP, C), and natural language (English)."""
_HOMEPAGE = "https://github.com/reddy-lab-code-research/XLCoST"
_URLS = {
"train": "train.json",
"test": "test.json",
"valid": "valid.json",
}
def new_url(name):
urls = {"train": f"data/{name}/{_URLS['train']}",
"test": f"data/{name}/{_URLS['test']}",
"valid": f"data/{name}/{_URLS['valid']}"}
return urls
class XlcostConfig(datasets.BuilderConfig):
"""BuilderConfig for SuperGLUE."""
def __init__(self, name, description, features, **kwargs):
#super().__init__(name, description, features, version=datasets.Version("2.1.0"), **kwargs,) #=datasets.Version("2.1.0")
super(XlcostConfig, self).__init__(version=datasets.Version("2.1.0", ""), **kwargs)
self.name = name
self.description = description
self.features = features
def split_generator(dl_manager, name):
downloaded_files = new_url(name)
downloaded_files = dl_manager.download(new_url(name))
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["valid"]}),
]
class Xlcost(datasets.GeneratorBasedBuilder):
"""The SuperGLUE benchmark."""
VERSION = datasets.Version("2.1.0")
BUILDER_CONFIGS = [
XlcostConfig(
name="Python-snippet-level",
#version=VERSION,
description="snippet level text and code pairs for Python",
features=["text", "code"]
),
XlcostConfig(
name="Python-program-level",
#version=VERSION,
description="program level text and code pairs for Python",
features=["text", "code"]
),
XlcostConfig(
name="C-snippet-level",
#version=VERSION,
description="snippet level text and code pairs for C",
features=["text", "code"]
),
XlcostConfig(
name="C-program-level",
#version=VERSION,
description="program level text and code pairs for C",
features=["text", "code"]
),
XlcostConfig(
name="Java-snippet-level",
#version=VERSION,
description="snippet level text and code pairs for Java",
features=["text", "code"]
),
XlcostConfig(
name="Java-program-level",
#version=VERSION,
description="program level text and code pairs for Java",
features=["text", "code"]
),
XlcostConfig(
name="Javascript-snippet-level",
#version=VERSION,
description="snippet level text and code pairs for PHP",
features=["text", "code"]
),
XlcostConfig(
name="Javascript-program-level",
#version=VERSION,
description="program level text and code pairs for PHP",
features=["text", "code"]
),
XlcostConfig(
name="Csharp-snippet-level",
#version=VERSION,
description="snippet level text and code pairs for C#",
features=["text", "code"]
),
XlcostConfig(
name="Csharp-program-level",
#version=VERSION,
description="program level text and code pairs for C#",
features=["text", "code"]
),
XlcostConfig(
name="C++-snippet-level",
#version=VERSION,
description="snippet level text and code pairs for C#",
features=["text", "code"]
),
XlcostConfig(
name="C++-program-level",
#version=VERSION,
description="program level text and code pairs for C#",
features=["text", "code"]
),
XlcostConfig(
name="PHP-snippet-level",
#version=VERSION,
description="snippet level text and code pairs for PHP",
features=["text", "code"]
),
XlcostConfig(
name="PHP-program-level",
#version=VERSION,
description="program level text and code pairs for PHP",
features=["text", "code"]
),
]
DEFAULT_CONFIG_NAME = "C-snippet-level"
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({"text": datasets.Value("string"),
"code": datasets.Value("string")}),
homepage=_HOMEPAGE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
if self.config.name == "Python-snippet-level":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "Python-program-level":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "C-snippet-level":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "C-program-level":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "Java-snippet-level":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "Java-program-level":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "Javascript-snippet-level":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "Javascript-program-level":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "Csharp-snippet-level":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "Csharp-program-level":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "PHP-snippet-level":
return split_generator(dl_manager, self.config.name)
elif self.config.name == "PHP-program-level":
return split_generator(dl_manager, self.config.name)
def _generate_examples(self, filepath):
key = 0
with open(filepath) as f:
for line in f:
row = json.loads(line)
key += 1
yield key, {
"text": row["text"],
"code": row["code"],
}
key += 1