bc-transcoder.py

import json

import datasets


_DESCRIPTION = """The Transcoder dataset in BabelCode format. Currently supports translation from C++ and Python."""

_URL = "https://raw.githubusercontent.com/google-research/babelcode/main/data/hf_datasets/transcoder.jsonl"

_LANGUAGES = {
    "C++",
    "CSharp",
    "Dart",
    "Go",
    "Haskell",
    "Java",
    "Javascript",
    "Julia",
    "Kotlin",
    "Lua",
    "PHP",
    "Python",
    "R",
    "Rust",
    "Scala",
    "TypeScript",
}

_CITATION = """\
@article{orlanski2023measuring,
  title={Measuring The Impact Of Programming Language Distribution},
  author={Orlanski, Gabriel and Xiao, Kefan and Garcia, Xavier and Hui, Jeffrey and Howland, Joshua and Malmaud, Jonathan and Austin, Jacob and Singh, Rishah and Catasta, Michele},
  journal={arXiv preprint arXiv:2302.01973},
  year={2023}
}
@article{roziere2020unsupervised,
  title={Unsupervised translation of programming languages},
  author={Roziere, Baptiste and Lachaux, Marie-Anne and Chanussot, Lowik and Lample, Guillaume},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  year={2020}
}"""

_HOMEPAGE = "https://github.com/google-research/babelcode"

_LICENSE = "CC-BY-4.0"

_VERSION = "1.0.0"

_KEYS_REMOVE = {
    "header"
}

class BCTranscoder(datasets.GeneratorBasedBuilder):
    """BC-Transcoder"""

    VERSION = datasets.Version(_VERSION)

    BUILDER_CONFIGS = [
        datasets.BuilderConfig(
            name="all",
            version=datasets.Version(_VERSION),
            description=_DESCRIPTION,
        ),
    ] + [
        datasets.BuilderConfig(
            name=lang,
            version=datasets.Version(_VERSION),
            description=_DESCRIPTION + f" Examples are only in {lang}.",
        )
        for lang in _LANGUAGES
    ]

    DEFAULT_CONFIG_NAME = "all"

    def _info(self):
        features = datasets.Features(
            {
                "qid": datasets.Value("string"),
                "title": datasets.Value("string"),
                "language": datasets.Value("string"),
                "text":datasets.Value("string"),
                "signature_with_docstring": datasets.Value("string"),
                "signature": datasets.Value("string"),
                "arguments": datasets.Sequence(datasets.Value("string")),
                "entry_fn_name": datasets.Value("string"),
                "entry_cls_name": datasets.Value("string"),
                "test_code": datasets.Value("string"),
                "source_py":datasets.Value("string"),
                "source_cpp":datasets.Value("string")
            }
        )
        description = _DESCRIPTION
        if self.config.name != 'all':
            description = _DESCRIPTION + f" Examples are only in {self.config.name}."
        return datasets.DatasetInfo(
            description=description,
            features=features,
            supervised_keys=None,
            homepage=_HOMEPAGE,
            license=_LICENSE,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        data_dir = dl_manager.download_and_extract(_URL)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={"filepath": data_dir},
            ),
        ]

    def _generate_examples(self, filepath):
        """ Yields the examples from the dataset"""
        with open(filepath, encoding='utf-8') as file:
            id_ = 0
            for l in file:
                if not l.strip():
                    continue
                d = json.loads(l)
                
                if self.config.name != 'all' and d['language'] != self.config.name:
                    continue
                
                d['source_py'] = d.pop('solution_python')
                d['source_cpp'] = d.pop('solution_cpp')
                
                for k in _KEYS_REMOVE:
                    d.pop(k)
                yield id_, d
                id_+=1