Update parquet files

README.md

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----
-dataset_info:
-  features:
-  - name: geonameid
-    dtype: int64
-  - name: name
-    dtype: string
-  - name: asciiname
-    dtype: string
-  - name: alternatenames
-    dtype: string
-  - name: latitude
-    dtype: float64
-  - name: longitude
-    dtype: float64
-  - name: feature_class
-    dtype: string
-  - name: feature_code
-    dtype: string
-  - name: country_code
-    dtype: string
-  - name: cc2
-    dtype: string
-  - name: admin1_code
-    dtype: string
-  - name: admin2_code
-    dtype: string
-  - name: admin3_code
-    dtype: string
-  - name: admin4_code
-    dtype: string
-  - name: population
-    dtype: int64
-  - name: elevation
-    dtype: float64
-  - name: dem
-    dtype: int64
-  - name: timezone
-    dtype: string
-  - name: modification_date
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 2378719253
-    num_examples: 12368001
-  download_size: 824343833
-  dataset_size: 2378719253
----
-# Dataset Card for "geonames"
-
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-[Source](https://download.geonames.org/export/dump/)
-
-```
-  "geonameid",  # integer id of record in geonames database
-    "name",  # name of geographical point (utf8) varchar(200)
-    "asciiname",  # name of geographical point in plain ascii characters, varchar(200)
-    "alternatenames",
-    # alternatenames, comma separated, ascii names automatically transliterated, convenience attribute from alternatename table, varchar(10000)
-    "latitude",  # latitude in decimal degrees (wgs84)
-    "longitude",  # longitude in decimal degrees (wgs84)
-    "feature_class",  # see http://www.geonames.org/export/codes.html, char(1)
-    "feature_code",  # see http://www.geonames.org/export/codes.html, varchar(10)
-    "country_code",  # ISO-3166 2-letter country code, 2 characters
-    "cc2",
-    # alternate country codes, comma separated, ISO-3166 2-letter country code, 200 characters
-    "admin1_code",
-    # fipscode (subject to change to iso code), see exceptions below, see file admin1Codes.txt for display names of this code; varchar(20)
-    "admin2_code",
-    # code for the second administrative division, a county in the US, see file admin2Codes.txt; varchar(80)
-    "admin3_code",  # code for third level administrative division, varchar(20)
-    "admin4_code",  # code for fourth level administrative division, varchar(20)
-    "population",  # bigint (8 byte int)
-    "elevation",  # in meters, integer
-    "dem",
-    # digital elevation model, srtm3 or gtopo30, average elevation of 3''x3'' (ca 90mx90m) or 30''x30'' (ca 900mx900m) area in meters, integer. srtm processed by cgiar/ciat.
-    "timezone",  # the iana timezone id (see file timeZone.txt) varchar(40)
-    "modification_date",  # date of last modification in yyyy-MM-dd format"
-```

data/train-00004-of-00005-ee1f536ecc1b7b46.parquet

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data/train-00003-of-00005-b6f64b7aa9afbd04.parquet → default/geonames-train-00000-of-00005.parquet

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data/train-00000-of-00005-3da75cb6dc67210c.parquet → default/geonames-train-00001-of-00005.parquet

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data/train-00002-of-00005-2f05dda1564d24eb.parquet → default/geonames-train-00003-of-00005.parquet

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default/geonames-train-00004-of-00005.parquet

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geonames_generate.py

@@ -1,113 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-import os
-from functools import partial
-from pathlib import Path
-
-import datasets
-import pandas as pd
-from datasets import DatasetDict, load_dataset
-
-
-VERSION = datasets.Version("0.0.1")
-
-AVAILABLE_DATASETS = {
-    'geonames': 'https://download.geonames.org/export/dump/allCountries.zip',
-    'alternateNames': 'https://download.geonames.org/export/dump/alternateNames.zip',
-}
-FIELDS = [
-    "geonameid",  # integer id of record in geonames database
-    "name",  # name of geographical point (utf8) varchar(200)
-    "asciiname",  # name of geographical point in plain ascii characters, varchar(200)
-    "alternatenames",
-    # alternatenames, comma separated, ascii names automatically transliterated, convenience attribute from alternatename table, varchar(10000)
-    "latitude",  # latitude in decimal degrees (wgs84)
-    "longitude",  # longitude in decimal degrees (wgs84)
-    "feature_class",  # see http://www.geonames.org/export/codes.html, char(1)
-    "feature_code",  # see http://www.geonames.org/export/codes.html, varchar(10)
-    "country_code",  # ISO-3166 2-letter country code, 2 characters
-    "cc2",
-    # alternate country codes, comma separated, ISO-3166 2-letter country code, 200 characters
-    "admin1_code",
-    # fipscode (subject to change to iso code), see exceptions below, see file admin1Codes.txt for display names of this code; varchar(20)
-    "admin2_code",
-    # code for the second administrative division, a county in the US, see file admin2Codes.txt; varchar(80)
-    "admin3_code",  # code for third level administrative division, varchar(20)
-    "admin4_code",  # code for fourth level administrative division, varchar(20)
-    "population",  # bigint (8 byte int)
-    "elevation",  # in meters, integer
-    "dem",
-    # digital elevation model, srtm3 or gtopo30, average elevation of 3''x3'' (ca 90mx90m) or 30''x30'' (ca 900mx900m) area in meters, integer. srtm processed by cgiar/ciat.
-    "timezone",  # the iana timezone id (see file timeZone.txt) varchar(40)
-    "modification_date",  # date of last modification in yyyy-MM-dd format"
-]
-
-
-class GeonamesDataset(datasets.GeneratorBasedBuilder):
-    """GeonamesDataset dataset."""
-
-    @staticmethod
-    def load(data_name_config: str = "geonames") -> DatasetDict:
-        ds = load_dataset(__file__, data_name_config)
-        return ds
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description="",
-            features=datasets.Features(
-                {
-                    "geonameid": datasets.Value("string"),
-                    "name": datasets.Value("string"),
-                    "asciiname": datasets.Value("string"),
-                    "alternatenames": datasets.Value("string"),
-                    "latitude": datasets.Value("string"),
-                    "longitude": datasets.Value("string"),
-                    "feature_class": datasets.Value("string"),
-                    "feature_code": datasets.Value("string"),
-                    "country_code": datasets.Value("string"),
-                    "cc2": datasets.Value("string"),
-                    "admin1_code": datasets.Value("string"),
-                    "admin2_code": datasets.Value("string"),
-                    "admin3_code": datasets.Value("string"),
-                    "admin4_code": datasets.Value("string"),
-                    "population": datasets.Value("string"),
-                    "elevation": datasets.Value("string"),
-                    "dem": datasets.Value("string"),
-                    "timezone": datasets.Value("string"),
-                    "modification_date": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=None,
-            homepage="https://download.geonames.org/export/zip/",
-            citation="",
-        )
-
-    def _split_generators(self, dl_manager):
-        root_paths = {
-            "geonames":  Path(dl_manager.download_and_extract(AVAILABLE_DATASETS["geonames"]))/'allCountries.txt',
-            "alternateNames":  Path(dl_manager.download_and_extract(AVAILABLE_DATASETS["alternateNames"]))/'alternateNames.txt',
-        }
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "root_path": root_paths, "split": "train"
-                },
-            ),
-        ]
-
-    def _generate_examples(self, root_path, split):
-        data_file = str(root_path["geonames"])
-        data = pd.read_csv(
-            data_file, sep="\t", header=None,
-            encoding='utf-8', usecols=list(range(len(FIELDS))), names=FIELDS
-        )
-        # data_file = str(root_path["alternateNames"])
-        # alt_data = pd.read_csv(
-        #     data_file, sep="\t", header=None,
-        #     encoding='utf-8', names=["id", "geonameid", "altname"], nrows=100
-        # )
-        # data = data.merge(alt_data, on="geonameid", how="left")
-        for idx, sample in data.iterrows():
-            yield idx, dict(sample)
-