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ornl26

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ornl26 / ornl26.py

Rodekool

ornl20 to 26

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	# coding=utf-8
	# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace NLP Authors.
	#
	# 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.

	# Lint as: python3
	"""Open Data Rechtspraak dutch topic classification dataset."""

	from __future__ import absolute_import, division, print_function

	import csv

	# import nlp # old loader
	import datasets
	from datasets.tasks import TextClassification


	_DESCRIPTION = """\
	still a WIP, Dataset originally comes from Open Data van de Rechtspraak"
	"""

	_TRAIN_DOWNLOAD_URL = "https://huggingface.co/datasets/Rodekool/ornl26/resolve/main/train.csv"
	_TEST_DOWNLOAD_URL = "https://huggingface.co/datasets/Rodekool/ornl26/resolve/main/test.csv"


	class ORnl(datasets.GeneratorBasedBuilder):
	"""Open Data van de Rechtspraak dutch topic classification dataset."""

	def _info(self):
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{
	"text": datasets.Value("string"),
	"label": datasets.features.ClassLabel(names=[
	'Aanbestedingsrecht',
	'Ambtenarenrecht',
	'Arbeidsrecht',
	'Belastingrecht',
	'Bestuursprocesrecht',
	'Bestuursstrafrecht',
	'Burgerlijk procesrecht',
	'Europees bestuursrecht',
	'Europees civiel recht',
	'Europees strafrecht',
	'Goederenrecht',
	'Insolventierecht',
	'Intellectueel-eigendomsrecht',
	'Internationaal privaatrecht',
	'Internationaal strafrecht',
	'Materieel strafrecht',
	'Mededingingsrecht',
	'Omgevingsrecht',
	'Ondernemingsrecht',
	'Penitentiair strafrecht',
	'Personen- en familierecht',
	'Socialezekerheidsrecht',
	'Strafprocesrecht',
	'Verbintenissenrecht',
	'Volkenrecht',
	'Vreemdelingenrecht',
	]),
	}
	),
	homepage="https://www.rechtspraak.nl/Uitspraken/paginas/open-data.aspx",
	)

	def _split_generators(self, dl_manager):
	train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
	test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL)
	return [
	datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
	datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}),
	]

	def _generate_examples(self, filepath):
	"""Generate Rechtspraak examples."""
	with open(filepath, encoding="utf-8") as csv_file:
	csv_reader = csv.reader(
	csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
	)
	for id_, row in enumerate(csv_reader):
	label, title, description = row

	# Original labels are [1, 2, ... 25, 26] ->
	# Re-map to [0, 1, ... 24, 25].

	label = int(label) - 1
	text = " ".join((title, description))
	yield id_, {"text": text, "label": label}