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Upload atlas-preprocessed-code.py

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  1. atlas-preprocessed-code.py +91 -25
atlas-preprocessed-code.py CHANGED
@@ -1,33 +1,99 @@
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- from datasets import GeneratorBasedBuilder, BuilderConfig, Version, load_dataset
 
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- _LANGUAGES = ["C#", "C++", "C", "Go", "HTML", "Haskell", "Java", "JavaScript", "Jupyter",
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- "Kotlin", "PHP", "Perl", "Python", "Ruby", "Rust", "Shell", "Swift", "TypeScript", "V"]
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- class RepoConfig(BuilderConfig):
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- """BuilderConfig for Repository."""
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- def __init__(self, language, **kwargs):
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- """
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- Args:
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- language: the programming language of the repository
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- **kwargs: keyword arguments forwarded to super.
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- """
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- super().__init__(**kwargs)
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- self.language = language
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- class Repository(GeneratorBasedBuilder):
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- """The Repository benchmark."""
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  BUILDER_CONFIGS = [
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- RepoConfig(
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- name=lang.lower(),
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- version=Version("1.0.0"),
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- language=lang,
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- description=f"Repository of {lang} programs",
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- )
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- for lang in _LANGUAGES
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  ]
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- # to load a specific configuration of the dataset with the configuration name
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- # replace 'csharp' with the desired language
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- dataset = load_dataset('repository', 'csharp')
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import gzip
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+ import json
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+ import datasets
 
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+ logger = datasets.logging.get_logger(__name__)
 
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+ _HOMEPAGE = "https://github.com/atlasunified"
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+
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+
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+ _DESCRIPTION = "\
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+ Your description here.\
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+ "
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+
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+ _LICENSE = "odc-by"
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+
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+ _VARIANTS = {
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+ "C#": {
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+ "version": "1.0.0",
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+ "download_size": 12345678, # replace with actual size
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+ "dataset_size": 12345678, # replace with actual size
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+ "splits": {
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+ "train": {
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+ "num_bytes": 12345678, # replace with actual size
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+ "num_examples": 12345678, # replace with actual size
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+ "files": [
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+ "data/C#.jsonl",
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+ # continue with other file paths...
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+ ],
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+ },
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+ },
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+ },
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+ "C++": {
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+ # similar structure as above, replace with actual data
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+ },
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+ # continue for other languages...
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+ }
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+
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+ _FEATURES = datasets.Features(
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+ added=datasets.Value("string"),
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+ created=datasets.Value("string"),
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+ id=datasets.Value("string"),
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+ source=datasets.Value("string"),
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+ text=datasets.Value("string"),
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+ version=datasets.Value("string"),
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+ )
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+
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+ _CITATION = """\
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+ Your citation here.
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+ """
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+
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+
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+ class MyHFRepo(datasets.GeneratorBasedBuilder):
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+ """Your dataset description here."""
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  BUILDER_CONFIGS = [
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+ datasets.BuilderConfig(name=name, version=config["version"])
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+ for name, config in _VARIANTS.items()
 
 
 
 
 
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  ]
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+ DEFAULT_CONFIG_NAME = "C#" # replace with the language you want as default
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+
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+ def _info(self):
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+ """Give information and typings for the dataset."""
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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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+ homepage=_HOMEPAGE,
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+ license=_LICENSE,
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+ citation=_CITATION,
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+ dataset_size=_VARIANTS[self.config.name]["dataset_size"],
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+ download_size=_VARIANTS[self.config.name]["download_size"],
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ train_downloaded_files = dl_manager.download(
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+ _VARIANTS[self.config.name]["splits"]["train"]["files"]
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+ )
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+ return [
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+ datasets.SplitGenerator(
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+ name=str(datasets.Split.TRAIN),
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+ gen_kwargs={"filepaths": train_downloaded_files},
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+ ),
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+ ]
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+
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+ def _generate_examples(self, filepaths):
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+ """This function returns the examples in the raw (text) form by
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+ iterating on all the files."""
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+ id_ = 0
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+ for filepath in filepaths:
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+ logger.info("generating examples from = %s", filepath)
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+ with gzip.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
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+ for line in f:
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+ if line:
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+ example = json.loads(line)
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+ yield id_, example
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+ id_ += 1