# 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 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 XlcostConfig(datasets.BuilderConfig): """BuilderConfig for SuperGLUE.""" def __init__(self, name, description, features, **kwargs): super(XlcostConfig, self).__init__(version=datasets.Version("2.1.0", ""), **kwargs) self.name = name self.description = description self.features = features class Xlcost(datasets.GeneratorBasedBuilder): VERSION = datasets.Version("2.1.0") BUILDER_CONFIGS = [ XlcostConfig( name="Python-snippet-level", description="snippet level text and code pairs for Python", features=["text", "code"] ), XlcostConfig( name="Python-program-level", description="program level text and code pairs for Python", features=["text", "code"] ), XlcostConfig( name="C-snippet-level", description="snippet level text and code pairs for C", features=["text", "code"] ), XlcostConfig( name="C-program-level", description="program level text and code pairs for C", features=["text", "code"] ), XlcostConfig( name="Java-snippet-level", description="snippet level text and code pairs for Java", features=["text", "code"] ), XlcostConfig( name="Java-program-level", description="program level text and code pairs for Java", features=["text", "code"] ), XlcostConfig( name="Javascript-snippet-level", description="snippet level text and code pairs for PHP", features=["text", "code"] ), XlcostConfig( name="Javascript-program-level", description="program level text and code pairs for PHP", features=["text", "code"] ), XlcostConfig( name="Csharp-snippet-level", description="snippet level text and code pairs for C#", features=["text", "code"] ), XlcostConfig( name="Csharp-program-level", description="program level text and code pairs for C#", features=["text", "code"] ), XlcostConfig( name="C++-snippet-level", description="snippet level text and code pairs for C#", features=["text", "code"] ), XlcostConfig( name="C++-program-level", description="program level text and code pairs for C#", features=["text", "code"] ), XlcostConfig( name="PHP-snippet-level", description="snippet level text and code pairs for PHP", features=["text", "code"] ), XlcostConfig( name="PHP-program-level", description="program level text and code pairs for PHP", features=["text", "code"] ), ] DEFAULT_CONFIG_NAME = "Python-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 == "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