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import os |
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import shutil |
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import uuid |
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from functools import partial |
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from pathlib import Path |
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from typing import Dict, Iterable |
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import datasets |
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from datasets import DatasetDict, DownloadManager, load_dataset |
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import pandas as pd |
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VERSION = datasets.Version("0.0.1") |
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AVAILABLE_DATASETS = { |
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"job_titles": "https://github.com/jneidel/job-titles" |
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} |
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class JobTitlesDataset(datasets.GeneratorBasedBuilder): |
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"""JobTitlesDataset dataset.""" |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name=data_name, version=VERSION, description=f"{data_name} dataset" |
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) |
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for data_name in AVAILABLE_DATASETS |
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] |
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@staticmethod |
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def load(data_name_config: str = "job_titles") -> DatasetDict: |
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ds = load_dataset(__file__, data_name_config) |
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return ds |
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def _info(self) -> datasets.DatasetInfo: |
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return datasets.DatasetInfo( |
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description="", |
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features=datasets.Features( |
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{ |
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"id": datasets.Value("string"), |
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"name": datasets.Value("string"), |
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} |
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), |
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supervised_keys=None, |
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homepage="https://github.com/jneidel/job-titles", |
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citation="", |
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) |
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def _split_generators( |
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self, dl_manager: DownloadManager |
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) -> Iterable[datasets.SplitGenerator]: |
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git_repo = AVAILABLE_DATASETS[self.config.name] |
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current_dir = Path(__file__).resolve().parent |
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temp_dir = current_dir / uuid.uuid4().hex |
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temp_dir.mkdir(exist_ok=True) |
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os.system(f"cd {temp_dir} && git clone {git_repo}") |
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shutil.copy(temp_dir / "job-titles" / "job-titles.txt", current_dir) |
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shutil.rmtree(f"{temp_dir}") |
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filepath = str(current_dir / "job-titles.txt") |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"filepath": filepath |
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}, |
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), |
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] |
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def _generate_examples(self, filepath: str) -> Iterable[Dict]: |
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with open(filepath, "r") as f_in: |
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for idx, line in enumerate(f_in): |
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line = line.strip() |
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yield idx, { |
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"id": idx, |
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"name": line |
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} |
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