Create age_dataset_generators.py

age_dataset_generators.py

@@ -0,0 +1,105 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+import csv
+import os
+import shutil
+import uuid
+from pathlib import Path
+from typing import Dict, Iterable
+
+import datasets
+from datasets import DatasetDict, DownloadManager, load_dataset
+from huggingface_hub.repository import Repository
+
+
+VERSION = datasets.Version("0.0.1")
+
+AVAILABLE_DATASETS = {
+    'age_dataset': "https://github.com/Moradnejad/AgeDataset"
+}
+
+try:
+    import rarfile
+except ImportError:
+    raise ImportError("Please install rarfile: `pip install rarfile`, to use this dataset")
+
+class AgeDataset(datasets.GeneratorBasedBuilder):
+    """AgeDataset 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 = "age_dataset") -> DatasetDict:
+        ds = load_dataset(__file__, data_name_config)
+        return ds
+
+    def _info(self) -> datasets.DatasetInfo:
+        return datasets.DatasetInfo(
+            description="",
+            features=datasets.Features(
+                {
+                    "entity_id": datasets.Value("int32"),
+                    "name": datasets.Value("string"),
+                    "short_description": datasets.Value("string"),
+                    "gender": datasets.Value("string"),
+                    "country": datasets.Value("string"),
+                    "occupation": datasets.Value("string"),
+                    "birth_year": datasets.Value("string"),
+                    "manner_of_death": datasets.Value("string"),
+                    "age_of_death": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/Moradnejad/AgeDataset",
+            citation="https://workshop-proceedings.icwsm.org/pdf/2022_82.pdf",
+        )
+
+    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)
+        # Repository(local_dir=str(temp_dir), clone_from=git_repo)
+        os.system(f"cd {temp_dir} && git clone {git_repo}")
+        shutil.copy(temp_dir / "AgeDataset" / "AgeDataset.rar", current_dir)
+        shutil.rmtree(f"{temp_dir}")
+        filepath = str(current_dir / "AgeDataset.rar")
+        filepath = os.path.join(dl_manager.download_and_extract(filepath), "AgeDataset.csv")
+
+        # 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=",",
+            )
+            for idx, row in enumerate(csv_reader):
+                if idx == 0:
+                    continue
+                yield idx, {
+                    "entity_id": idx,
+                    "name": row[0],
+                    "short_description": row[1],
+                    "gender": row[2],
+                    "country": row[3],
+                    "occupation": row[4],
+                    "birth_year": row[5],
+                    "manner_of_death": row[6],
+                    "age_of_death": row[7],
+                }