Convert dataset to Parquet (#4)

- Convert dataset to Parquet (0c62fd9ce0d93056eaadad0e0eb4c78210a19591)
- Delete loading script (0285e7448d0d5a4e904a7f7b407330f36bfc603d)
- Delete data file (feaf59b31f8453f4f0fddb59d7f2e1112a6f623e)

README.md

@@ -76,8 +76,14 @@ dataset_info:
   - name: train
     num_bytes: 1611597178
     num_examples: 537558
-  download_size: 1224029060
+  download_size: 1033457256
   dataset_size: 1611597178
+configs:
+- config_name: processed
+  data_files:
+  - split: train
+    path: processed/train-*
+  default: true
 ---
 
 # Dataset Card for BnL Historical Newspapers

bnl_newspapers.py

@@ -1,184 +0,0 @@
-# coding=utf-8
-# Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Digitised historic newspapers from the BNL"""
-
-import os
-import xml.etree.ElementTree as ET
-from datetime import datetime
-
-import datasets
-from datasets.tasks import LanguageModeling
-
-
-_CITATION = """\
-@misc{bnl_newspapers,
-title={Historical Newspapers},
-url={https://data.bnl.lu/data/historical-newspapers/},
-author={ Bibliothèque nationale du Luxembourg},
-"""
-
-_DESCRIPTION = """\
-Digitised historic newspapers from the Bibliothèque nationale (BnL) - the National Library of Luxembourg.
-"""
-
-_HOMEPAGE = "https://data.bnl.lu/data/historical-newspapers/"
-
-_LICENSE = "CC0"
-
-
-# Source: https://data.bnl.lu/open-data/digitization/newspapers/export01-newspapers1841-1878.zi
-_URLs = {"processed": "data/export01-newspapers1841-1878.zip"}
-
-
-class BNLNewspapersConfig(datasets.BuilderConfig):
-    """Builder config for BNLNewspapers"""
-
-    def __init__(self, data_url, citation, url, **kwargs):
-        """
-        Args:
-        data_url: `string`, url to download the zip file from.
-        citation: `string`, citation for the data set.
-        url: `string`, url for information about the data set.
-        **kwargs: keyword arguments forwarded to super.
-        """
-        super(BNLNewspapersConfig, self).__init__(version=datasets.Version("1.17.0"), **kwargs)
-        self.data_url = data_url
-        self.citation = citation
-        self.url = url
-
-
-class BNLNewspapers(datasets.GeneratorBasedBuilder):
-    """Historic newspapers from the BNL"""
-
-    BUILDER_CONFIGS = [
-        BNLNewspapersConfig(
-            name="processed",
-            description="""This dataset covers the 'processed newspapers' portion of the BnL newspapers.
-These newspapers cover 38 years of news (1841-1878) and include 510,505 extracted articles.
-""",
-            data_url=_URLs["processed"],
-            citation=_CITATION,
-            url=_HOMEPAGE,
-        ),
-    ]
-
-    DEFAULT_CONFIG_NAME = "processed"
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "id": datasets.Value("string"),
-                "source": datasets.Value("string"),
-                "url": datasets.Value("string"),
-                "title": datasets.Value("string"),
-                "ispartof": datasets.Value("string"),
-                "text": datasets.Value("string"),
-                "pub_date": datasets.Value("timestamp[s]"),
-                "publisher": datasets.Value("string"),
-                "language": datasets.Value("string"),
-                "article_type": datasets.ClassLabel(
-                    names=[
-                        "ADVERTISEMENT_SECTION",
-                        "BIBLIOGRAPHY",
-                        "CHAPTER",
-                        "INDEX",
-                        "CONTRIBUTION",
-                        "TABLE_OF_CONTENTS",
-                        "WEATHER",
-                        "SHIPPING",
-                        "SECTION",
-                        "ARTICLE",
-                        "TITLE_SECTION",
-                        "DEATH_NOTICE",
-                        "SUPPLEMENT",
-                        "TABLE",
-                        "ADVERTISEMENT",
-                        "CHART_DIAGRAM",
-                        "ILLUSTRATION",
-                        "ISSUE",
-                    ]
-                ),
-                "extent": datasets.Value("int32"),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-            task_templates=[LanguageModeling(text_column="text")],
-        )
-
-    def _split_generators(self, dl_manager):
-        _URL = self.config.data_url
-        data_dir = dl_manager.download_and_extract(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "paths": dl_manager.iter_files([data_dir]),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, paths):
-        key = 0
-        for path in paths:
-            if os.path.basename(path).endswith(".xml"):
-                data = parse_xml(path)
-                yield key, data
-                key += 1
-
-
-def parse_xml(path):
-    ns = {
-        "": "http://www.openarchives.org/OAI/2.0/",
-        "xsi": "http://www.w3.org/2001/XMLSchema-instance",
-        "oai_dc": "http://www.openarchives.org/OAI/2.0/oai_dc/",
-        "dc": "http://purl.org/dc/elements/1.1/",
-        "dcterms": "http://purl.org/dc/terms/",
-    }
-    tree = ET.parse(path)
-    source = tree.find(".//dc:source", ns).text
-    ark_id = tree.find(".//dc:identifier", ns).text
-    ispartof = tree.find(".//dcterms:isPartOf", ns).text
-    date = tree.find(".//dc:date", ns).text
-    if date:
-        date = datetime.strptime(date, "%Y-%m-%d")
-    publisher = tree.find(".//dc:publisher", ns)
-    if publisher is not None:
-        publisher = publisher.text
-    hasversion = tree.find(".//dcterms:hasVersion", ns).text
-    description = tree.find(".//dc:description", ns).text
-    title = tree.find(".//dc:title", ns).text
-    article_type = tree.find(".//dc:type", ns).text
-    extent = tree.find(".//dcterms:extent", ns).text
-    language = tree.find(".//dc:language", ns)
-    if language is not None:
-        language = language.text
-    return {
-        "id": ark_id,
-        "source": source,
-        "url": hasversion,
-        "title": title,
-        "text": description,
-        "pub_date": date,
-        "publisher": publisher,
-        "article_type": article_type,
-        "extent": extent,
-        "ispartof": ispartof,
-        "language": language,
-    }

data/export01-newspapers1841-1878.zip → processed/train-00000-of-00004.parquet

@@ -1,3 +1,3 @@
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-oid sha256:72032d30d93eb367c567651db970bdb6f645fa6377b2d6a2453d30cf870df946
-size 1224029060
+oid sha256:24f4b6b59284f334268cd35bb4dcf0c24a569f20368a4f2addea32092aeefa13
+size 258201852

processed/train-00001-of-00004.parquet

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+oid sha256:ec530099cea0d255cdfe968c2bf72686a24130824ad5849f63bea634ba3d83fc
+size 260525746

processed/train-00002-of-00004.parquet

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+oid sha256:c81a729be9c75a86368dda2a3770e05ec21ed453a49a2ae329824272db4e85bc
+size 258528289

processed/train-00003-of-00004.parquet

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+oid sha256:d5eeac8a900ec0f08b749f9817ec6464e48a2d2192d94afd551d3c2fe3157636
+size 256201369