Datasets:

jpwahle
/

etpc

	# coding=utf-8
	#
	# 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
	"""ETPC: The Extended Typology Paraphrase Corpus"""

	import os
	from typing import Dict, Generator, Any, Union, Optional, List, Tuple

	import datasets
	from datasets.tasks import TextClassification
	from lxml import etree


	logger = datasets.logging.get_logger(__name__)


	_CITATION = """\
	@inproceedings{kovatchev-etal-2018-etpc,
	title = "{ETPC} - A Paraphrase Identification Corpus Annotated with Extended Paraphrase Typology and Negation",
	author = "Kovatchev, Venelin and
	Mart{\'\i}, M. Ant{\`o}nia and
	Salam{\'o}, Maria",
	booktitle = "Proceedings of the Eleventh International Conference on Language Resources and Evaluation ({LREC} 2018)",
	month = may,
	year = "2018",
	address = "Miyazaki, Japan",
	publisher = "European Language Resources Association (ELRA)",
	url = "https://aclanthology.org/L18-1221",
	}
	"""

	_DESCRIPTION = """\
	The EPT typology addresses several practical limitations of existing paraphrase typologies: it is the first typology that copes with the non-paraphrase pairs in the paraphrase identification corpora and distinguishes between contextual and habitual paraphrase types. ETPC is the largest corpus to date annotated with atomic paraphrase types.
	"""

	_HOMEPAGE = "https://github.com/venelink/ETPC"

	_LICENSE = "Unknown"

	_URLS = [
	"https://raw.githubusercontent.com/venelink/ETPC/master/Corpus/text_pairs.xml",
	"https://raw.githubusercontent.com/venelink/ETPC/master/Corpus/textual_paraphrases.xml",
	]


	class Sst2(datasets.GeneratorBasedBuilder):
	"""SST-2 dataset."""

	VERSION = datasets.Version("2.0.0")

	def _info(self):
	features = datasets.Features(
	{
	"idx": datasets.Value("int32"),
	"sentence1": datasets.Value("string"),
	"sentence2": datasets.Value("string"),
	"etpc_label": datasets.Value("int8"),
	"mrpc_label": datasets.Value("int8"),
	"negation": datasets.Value("int8"),
	"paraphrase_types": datasets.Value("string"),
	}
	)

	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=features,
	homepage=_HOMEPAGE,
	license=_LICENSE,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	dl_dir = dl_manager.download_and_extract(_URLS)
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={
	"file_paths": dl_manager.iter_files(dl_dir),
	},
	),
	]

	def _generate_examples(self, file_paths):

	file_paths = list(file_paths)
	text_pairs_path = file_paths[0]
	paraphrase_types_path = file_paths[1]

	parser = etree.XMLParser(encoding="utf-8", recover=True)

	tree_text_pairs = etree.parse(text_pairs_path, parser=parser)
	tree_paraphrase_types = etree.parse(paraphrase_types_path, parser=parser)

	root_text_pairs = tree_text_pairs.getroot()
	root_paraphrase_types = tree_paraphrase_types.getroot()

	for idx, row in enumerate(root_text_pairs):
	children = row.getchildren()
	current_pair_id = row.find(".//pair_id").text
	paraphrase_types = root_paraphrase_types.xpath(
	f".//pair_id[text()='{current_pair_id}']/parent::relation/type_name/text()"
	)
	str_paraphrase_types = ",".join(paraphrase_types)
	yield idx, {
	"idx": int(row.find(".//pair_id").text)
	if row.find(".//pair_id") is not None
	else int(idx),
	"sentence1": row.find(".//sent1_raw").text,
	"sentence2": row.find(".//sent2_raw").text,
	"etpc_label": int(row.find(".//etpc_label").text),
	"mrpc_label": int(row.find(".//mrpc_label").text),
	"negation": int(row.find(".//negation").text),
	"paraphrase_types": str_paraphrase_types,
	}