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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import csv
import os
from functools import partial
from typing import Dict, Iterable
import datasets
from datasets import DatasetDict, DownloadManager, load_dataset
VERSION = datasets.Version("0.0.1")
AVAILABLE_DATASETS = {
'paranames': "https://github.com/bltlab/paranames/releases/download/v2021.03.04.1/paranames.tsv.gz"
}
class ParanamesDataset(datasets.GeneratorBasedBuilder):
"""ParanamesDataset dataset."""
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name=data_name, version=VERSION, description=f"{data_name} dataset"
)
for data_name in AVAILABLE_DATASETS
]
def _info(self) -> datasets.DatasetInfo:
return datasets.DatasetInfo(
description="",
features=datasets.Features(
{
"wikidata_id": datasets.Value("string"),
"name": datasets.Value("string"),
"name_origin": datasets.Value("string"),
"language": datasets.Value("string"),
"type": datasets.Value("string"),
}
),
supervised_keys=None,
homepage="https://github.com/bltlab/paranames",
citation="",
)
def _split_generators(
self, dl_manager: DownloadManager
) -> Iterable[datasets.SplitGenerator]:
downloader = partial(
lambda split: dl_manager.download_and_extract(
AVAILABLE_DATASETS[self.config.name]
)
)
filepath = downloader(AVAILABLE_DATASETS[self.config.name])
# 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, encoding="utf-8") as f_in:
csv_reader = csv.reader(
f_in,
delimiter="\t",
)
for idx, row in enumerate(csv_reader):
if idx == 0:
continue
yield idx, {
"wikidata_id": row[0],
"name": row[1],
"name_origin": row[2],
"language": row[3],
"type": row[4],
} |