Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
English
Multilinguality:
monolingual
Size Categories:
100M<n<200M
Language Creators:
crowdsourced
Annotations Creators:
no-annotation
Source Datasets:
https://github.com/shibing624/code-autocomplete
https://github.com/bharathgs/Awesome-pytorch-list
https://github.com/akullpp/awesome-java
Tags:
License:
| # -*- coding: utf-8 -*- | |
| """ | |
| @author:XuMing(xuming624@qq.com) | |
| @description: | |
| """ | |
| """Code AutoComplete Python dataset Corpus.(code_autocomplete)""" | |
| import os | |
| import datasets | |
| _DESCRIPTION = """纯文本数据，内容：高质量编程源代码，包括Python，Java，CPP源代码""" | |
| PYTHON_HOME = "https://github.com/bharathgs/Awesome-pytorch-list" | |
| JAVA_HOME = "https://github.com/akullpp/awesome-java" | |
| CPP_HOME = "https://github.com/fffaraz/awesome-cpp" | |
| _CITATION = "https://github.com/shibing624/code-autocomplete" | |
| _DATA_URL = "https://github.com/shibing624/code-autocomplete/releases/download/0.0.4/source_code.zip" | |
| class SourceCodeConfig(datasets.BuilderConfig): | |
| """BuilderConfig for NLI_zh""" | |
| def __init__(self, features, data_url, citation, url, **kwargs): | |
| """BuilderConfig for NLI_zh | |
| Args: | |
| features: `list[string]`, list of the features that will appear in the | |
| feature dict. Should not include "label". | |
| data_url: `string`, url to download the zip file from. | |
| citation: `string`, citation for the data set. | |
| url: `string`, url for information about the data set. | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super().__init__(version=datasets.Version("1.0.0"), **kwargs) | |
| self.features = features | |
| self.data_url = data_url | |
| self.citation = citation | |
| self.url = url | |
| class SourceCode(datasets.GeneratorBasedBuilder): | |
| """The Natural Language Inference Chinese(NLI_zh) Corpus.""" | |
| BUILDER_CONFIGS = [ | |
| SourceCodeConfig( | |
| name="python", | |
| description=_DESCRIPTION, | |
| features=["text"], | |
| data_url=_DATA_URL, | |
| citation=_CITATION, | |
| url=PYTHON_HOME, | |
| ), | |
| SourceCodeConfig( | |
| name="java", | |
| description=_DESCRIPTION, | |
| features=["text"], | |
| data_url=_DATA_URL, | |
| citation=_CITATION, | |
| url=JAVA_HOME, | |
| ), | |
| SourceCodeConfig( | |
| name="cpp", | |
| description=_DESCRIPTION, | |
| features=["text"], | |
| data_url=_DATA_URL, | |
| citation=_CITATION, | |
| url=CPP_HOME, | |
| ), | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=self.config.description, | |
| features=datasets.Features( | |
| { | |
| "text": datasets.Value("string"), | |
| } | |
| ), | |
| homepage=self.config.url, | |
| citation=self.config.citation, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| dl_dir = dl_manager.download_and_extract(self.config.data_url) or "" | |
| dl_dir = os.path.join(dl_dir, f"source_code/{self.config.name}") | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "filepath": os.path.join(dl_dir, f"train.txt"), | |
| }, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={ | |
| "filepath": os.path.join(dl_dir, f"valid.txt"), | |
| }, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={ | |
| "filepath": os.path.join(dl_dir, f"test.txt"), | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, filepath): | |
| """This function returns the examples in the raw (text) form.""" | |
| with open(filepath, 'r', encoding="utf-8") as f: | |
| for idx, row in enumerate(f): | |
| if row.strip(): | |
| yield idx, {"text": row} | |
| else: | |
| yield idx, {"text": ""} | |