Update parquet files

README.md

@@ -1,31 +0,0 @@
----
-dataset_info:
-  features:
-  - name: entity_id
-    dtype: int32
-  - name: name
-    dtype: string
-  - name: short_description
-    dtype: string
-  - name: gender
-    dtype: string
-  - name: country
-    dtype: string
-  - name: occupation
-    dtype: string
-  - name: birth_year
-    dtype: string
-  - name: manner_of_death
-    dtype: string
-  - name: age_of_death
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 135675467
-    num_examples: 1223009
-  download_size: 54907598
-  dataset_size: 135675467
----
-# Dataset Card for "age_dataset"
-
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

age_dataset_generate.py

@@ -1,105 +0,0 @@
-#!/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],
-                }

data/train-00000-of-00001-e6cf6286aa049cd4.parquet → bstds--age_dataset/parquet-train.parquet

@@ -1,3 +1,3 @@
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-size 54907598
+oid sha256:db64c127d14fd6a71b6cd2efa527c00f1b7fa59117616c486fa11db69f23051a
+size 54908863