Datasets:

liweili
/

c4_200m

Tasks:

Text Generation

Languages: English

Source Datasets: allenai/c4

Tags: grammatical-error-correction

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c4_200m / c4_200m.py

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Update c4_200m.py

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	# coding=utf-8
	# Copyright 2020 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.
	"""TODO: Add a description here."""


	import csv
	import glob
	import os

	import datasets


	# TODO: Add BibTeX citation
	# Find for instance the citation on arxiv or on the dataset repo/website
	_CITATION = """\
	@InProceedings{huggingface:c4_200m_dataset,
	title = {c4_200m},
	author={Li Liwei},
	year={2021}
	}
	"""

	_DESCRIPTION = """\
	GEC Dataset Generated from C4
	"""

	_HOMEPAGE = "https://www.kaggle.com/a0155991rliwei/c4-200m"

	_LICENSE = ""

	_URL = "data.zip"


	class C4200M(datasets.GeneratorBasedBuilder):
	VERSION = datasets.Version("1.0.0")
	DEFAULT_CONFIG_NAME = "train"

	def _info(self):
	features = datasets.Features(
	{
	"input": datasets.Value("string"),
	"output": datasets.Value("string"),
	}
	)
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=features,
	supervised_keys=None,
	homepage=_HOMEPAGE,
	license=_LICENSE,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	"""Returns SplitGenerators."""
	data_dir = dl_manager.download_and_extract(_URL)
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={
	"filepath": data_dir,
	},
	),
	]

	def _generate_examples(
	self, filepath
	):
	""" Yields examples as (key, example) tuples. """
	def fix_nulls(s):
	for line in s:
	yield line.replace('\0', ' ')

	path = os.path.join(filepath, ".tsv")
	for filename in glob.glob(path):
	with open(filename, encoding="utf-8") as f:
	reader = csv.reader(fix_nulls(f), delimiter="\t", quoting=csv.QUOTE_NONE)
	for id_, row in enumerate(reader):
	yield id_, {
	"input": row[0],
	"output": row[1],
	}