| | import csv |
| | import datasets |
| |
|
| | class ElaboratedMetadataConfig(datasets.BuilderConfig): |
| | def __init__(self, **kwargs): |
| | super().__init__(**kwargs) |
| |
|
| | class ElaboratedMetadata(datasets.GeneratorBasedBuilder): |
| | BUILDER_CONFIGS = [ |
| | ElaboratedMetadataConfig(name="default", version=datasets.Version("1.0.0")) |
| | ] |
| |
|
| | def _info(self): |
| | return datasets.DatasetInfo( |
| | features=datasets.Features({ |
| | "owner": datasets.Value("string"), |
| | "repo_name": datasets.Value("string"), |
| | "file_path": datasets.Value("string"), |
| | "url": datasets.Value("string"), |
| | }), |
| | ) |
| |
|
| | def _split_generators(self, dl_manager): |
| | data_path = dl_manager.download("A_python_files_elaborated_metadata.csv") |
| | return [ |
| | datasets.SplitGenerator( |
| | name=datasets.Split.TRAIN, |
| | gen_kwargs={"filepath": data_path}, |
| | ) |
| | ] |
| |
|
| | def _generate_examples(self, filepath): |
| | with open(filepath, encoding="utf-8") as f: |
| | reader = csv.DictReader(f) |
| | for idx, row in enumerate(reader): |
| | yield idx, { |
| | "owner": row["owner"], |
| | "repo_name": row["repo_name"], |
| | "file_path": row["file_path"], |
| | "url": row["url"], |
| | } |
| |
|
