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"""Odex dataset.""" |
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import json |
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import datasets |
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_CITATION = """\ |
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""" |
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_DESCRIPTION = """\ |
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""" |
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_HOMEPAGE = " " |
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LIST_LANG = ['ada', 'agda', 'alloy', 'antlr', 'applescript', 'assembly', 'augeas', 'awk', 'batchfile', 'bison', |
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'bluespec', 'c', 'c++', 'c-sharp', 'clojure', 'cmake', 'coffeescript', 'common-lisp', 'css', 'cuda', 'dart', 'dockerfile', 'elixir', |
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'elm', 'emacs-lisp','erlang', 'f-sharp', 'fortran', 'glsl', 'go', 'groovy', 'haskell','html', 'idris', 'isabelle', 'java', |
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'java-server-pages', 'javascript', 'julia', 'kotlin', 'lean', 'literate-agda', 'literate-coffeescript', 'literate-haskell', |
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'lua', 'makefile', 'maple', 'markdown', 'mathematica', 'matlab', 'ocaml', 'pascal', 'perl', 'php', 'powershell', 'prolog', |
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'protocol-buffer', 'python', 'r', 'racket', 'restructuredtext', 'rmarkdown', 'ruby', 'rust', 'sas', 'scala', 'scheme', |
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'shell', 'smalltalk', 'solidity', 'sparql', 'sql', 'stan', 'standard-ml', 'stata', 'systemverilog', 'tcl', 'tcsh', 'tex', |
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'thrift', 'typescript', 'verilog', 'vhdl', 'visual-basic', 'xslt', 'yacc', 'zig'] |
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_URLs = {lang: f"data/{lang}/data.json" for lang in LIST_LANG} |
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class Stack(datasets.GeneratorBasedBuilder): |
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"""Stack Code dataset.""" |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name=lang, |
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version=datasets.Version("1.0.0"), |
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description=_DESCRIPTION, |
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) for lang in _URLs.keys() |
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] |
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DEFAULT_CONFIG_NAME = "python" |
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def _info(self): |
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features = datasets.Features({"content": datasets.Value("string"), |
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"lang": datasets.Value("string"), |
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"size": datasets.Value("int64"), |
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"ext": datasets.Value("string"), |
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"max_stars_count": datasets.Value("int64"), |
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"avg_line_length": datasets.Value("float64"), |
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"max_line_length": datasets.Value("int64"), |
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"alphanum_fraction": datasets.Value("float64"), |
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}) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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supervised_keys=None, |
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citation=_CITATION, |
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homepage=_HOMEPAGE) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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config_urls = _URLs[self.config.name] |
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data_dir = dl_manager.download_and_extract(config_urls) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={"filepath": data_dir, "split": "train"}, |
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), |
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] |
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def _generate_examples(self, filepath, split): |
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key = 0 |
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for line in open(filepath, encoding="utf-8"): |
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line = json.loads(line) |
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yield key, line |
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key += 1 |
