Datasets:
Tasks:
Translation
Modalities:
Text
Formats:
parquet
Size:
1M - 10M
ArXiv:
Tags:
code-to-text
License:
| from typing import List | |
| import datasets | |
| # Citation, taken from https://github.com/microsoft/CodeXGLUE | |
| _DEFAULT_CITATION = """@article{CodeXGLUE, | |
| title={CodeXGLUE: A Benchmark Dataset and Open Challenge for Code Intelligence}, | |
| year={2020},}""" | |
| class Child: | |
| _DESCRIPTION = None | |
| _FEATURES = None | |
| _CITATION = None | |
| SPLITS = {"train": datasets.Split.TRAIN} | |
| _SUPERVISED_KEYS = None | |
| def __init__(self, info): | |
| self.info = info | |
| def homepage(self): | |
| return self.info["project_url"] | |
| def _info(self): | |
| # This is the description that will appear on the datasets page. | |
| return datasets.DatasetInfo( | |
| description=self.info["description"] + "\n\n" + self._DESCRIPTION, | |
| features=datasets.Features(self._FEATURES), | |
| homepage=self.homepage(), | |
| citation=self._CITATION or _DEFAULT_CITATION, | |
| supervised_keys=self._SUPERVISED_KEYS, | |
| ) | |
| def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: | |
| SPLITS = self.SPLITS | |
| _URL = self.info["raw_url"] | |
| urls_to_download = {} | |
| for split in SPLITS: | |
| if split not in urls_to_download: | |
| urls_to_download[split] = {} | |
| for key, url in self.generate_urls(split): | |
| if not url.startswith("http"): | |
| url = _URL + "/" + url | |
| urls_to_download[split][key] = url | |
| downloaded_files = {} | |
| for k, v in urls_to_download.items(): | |
| downloaded_files[k] = dl_manager.download_and_extract(v) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=SPLITS[k], | |
| gen_kwargs={"split_name": k, "file_paths": downloaded_files[k]}, | |
| ) | |
| for k in SPLITS | |
| ] | |
| def check_empty(self, entries): | |
| all_empty = all([v == "" for v in entries.values()]) | |
| all_non_empty = all([v != "" for v in entries.values()]) | |
| if not all_non_empty and not all_empty: | |
| raise RuntimeError("Parallel data files should have the same number of lines.") | |
| return all_empty | |
| class TrainValidTestChild(Child): | |
| SPLITS = { | |
| "train": datasets.Split.TRAIN, | |
| "valid": datasets.Split.VALIDATION, | |
| "test": datasets.Split.TEST, | |
| } | |