Create new file

paranames.py

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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
+
+from data.data_loader_base import DataLoaderBase
+
+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, DataLoaderBase):
+    """ParanamesDataset 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 = "paranames") -> DatasetDict:
+        ds = load_dataset(__file__, data_name_config)
+        return ds
+
+    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],
+                }