File size: 2,410 Bytes
4275cda |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import shutil
import uuid
from functools import partial
from pathlib import Path
from typing import Dict, Iterable
import datasets
from datasets import DatasetDict, DownloadManager, load_dataset
import pandas as pd
VERSION = datasets.Version("0.0.1")
AVAILABLE_DATASETS = {
"job_titles": "https://github.com/jneidel/job-titles"
}
class JobTitlesDataset(datasets.GeneratorBasedBuilder):
"""JobTitlesDataset dataset."""
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name=data_name, version=VERSION, description=f"{data_name} dataset"
)
for data_name in AVAILABLE_DATASETS
]
@staticmethod
def load(data_name_config: str = "job_titles") -> DatasetDict:
ds = load_dataset(__file__, data_name_config)
return ds
def _info(self) -> datasets.DatasetInfo:
return datasets.DatasetInfo(
description="",
features=datasets.Features(
{
"id": datasets.Value("string"),
"name": datasets.Value("string"),
}
),
supervised_keys=None,
homepage="https://github.com/jneidel/job-titles",
citation="",
)
def _split_generators(
self, dl_manager: DownloadManager
) -> Iterable[datasets.SplitGenerator]:
git_repo = AVAILABLE_DATASETS[self.config.name]
current_dir = Path(__file__).resolve().parent
temp_dir = current_dir / uuid.uuid4().hex
temp_dir.mkdir(exist_ok=True)
os.system(f"cd {temp_dir} && git clone {git_repo}")
shutil.copy(temp_dir / "job-titles" / "job-titles.txt", current_dir)
shutil.rmtree(f"{temp_dir}")
filepath = str(current_dir / "job-titles.txt")
# There is no predefined train/val/test split for this dataset.
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": filepath
},
),
]
def _generate_examples(self, filepath: str) -> Iterable[Dict]:
with open(filepath, "r") as f_in:
for idx, line in enumerate(f_in):
line = line.strip()
yield idx, {
"id": idx,
"name": line
}
|