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import json |
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from typing import List |
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import datasets |
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from .common import Child |
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from .generated_definitions import DEFINITIONS |
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_DESCRIPTION = """We use concode dataset which is a widely used code generation dataset from Iyer's EMNLP 2018 paper Mapping Language to Code in Programmatic Context. See paper for details.""" |
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_CITATION = """@article{iyer2018mapping, |
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title={Mapping language to code in programmatic context}, |
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author={Iyer, Srinivasan and Konstas, Ioannis and Cheung, Alvin and Zettlemoyer, Luke}, |
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journal={arXiv preprint arXiv:1808.09588}, |
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year={2018} |
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}""" |
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class CodeXGlueTcTextToCodeImpl(Child): |
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_DESCRIPTION = _DESCRIPTION |
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_CITATION = _CITATION |
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_FEATURES = { |
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"id": datasets.Value("int32"), |
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"nl": datasets.Value("string"), |
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"code": datasets.Value("string"), |
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} |
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_SUPERVISED_KEYS = ["code"] |
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SPLITS = {"train": datasets.Split.TRAIN, "dev": datasets.Split.VALIDATION, "test": datasets.Split.TEST} |
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def generate_urls(self, split_name): |
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yield "data", f"concode/{split_name}.json" |
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def _generate_examples(self, split_name, file_paths): |
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with open(file_paths["data"], encoding="utf-8") as f: |
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for idx, line in enumerate(f): |
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entry = json.loads(line) |
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entry["id"] = idx |
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yield idx, entry |
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CLASS_MAPPING = { |
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"CodeXGlueTcTextToCode": CodeXGlueTcTextToCodeImpl, |
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} |
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class CodeXGlueTcTextToCode(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIG_CLASS = datasets.BuilderConfig |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name=name, description=info["description"]) for name, info in DEFINITIONS.items() |
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] |
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def _info(self): |
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name = self.config.name |
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info = DEFINITIONS[name] |
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if info["class_name"] in CLASS_MAPPING: |
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self.child = CLASS_MAPPING[info["class_name"]](info) |
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else: |
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raise RuntimeError(f"Unknown python class for dataset configuration {name}") |
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ret = self.child._info() |
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return ret |
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: |
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return self.child._split_generators(dl_manager=dl_manager) |
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def _generate_examples(self, split_name, file_paths): |
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return self.child._generate_examples(split_name, file_paths) |
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