Update parquet files

README.md

@@ -1,17 +0,0 @@
----
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: name
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 2451067
-    num_examples: 73380
-  download_size: 1258591
-  dataset_size: 2451067
----
-# Dataset Card for "job_titles"
-
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

data/train-00000-of-00001-f3966556d39a54a6.parquet → bstds--job_titles/parquet-train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7fc2493e503b31392703b3ad282bede32e325737a601b665076eab7bfce7d26a
-size 1258591
+oid sha256:c61e7fcc1bf00fe41a2683e4ab42abb8bcdfb3612aada11d2a1a0c69beda9615
+size 1258955

job_titles_generator.py

@@ -1,79 +0,0 @@
-#!/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
-                }