imvladikon
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Delete paranames.py
Browse files- paranames.py +0 -83
paranames.py
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import csv
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import os
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from functools import partial
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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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VERSION = datasets.Version("0.0.1")
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AVAILABLE_DATASETS = {
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'paranames': "https://github.com/bltlab/paranames/releases/download/v2021.03.04.1/paranames.tsv.gz"
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}
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class ParanamesDataset(datasets.GeneratorBasedBuilder):
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"""ParanamesDataset 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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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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"wikidata_id": datasets.Value("string"),
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"name": datasets.Value("string"),
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"name_origin": datasets.Value("string"),
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"language": datasets.Value("string"),
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"type": 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/bltlab/paranames",
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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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downloader = partial(
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lambda split: dl_manager.download_and_extract(
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AVAILABLE_DATASETS[self.config.name]
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)
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)
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filepath = downloader(AVAILABLE_DATASETS[self.config.name])
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# There is no predefined train/val/test split for this dataset.
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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, encoding="utf-8") as f_in:
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csv_reader = csv.reader(
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f_in,
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delimiter="\t",
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)
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for idx, row in enumerate(csv_reader):
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if idx == 0:
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continue
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yield idx, {
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"wikidata_id": row[0],
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"name": row[1],
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"name_origin": row[2],
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"language": row[3],
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"type": row[4],
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}
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