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