Datasets:
tuple_ie

	# coding=utf-8
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	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
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	# http://www.apache.org/licenses/LICENSE-2.0
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	"""TupleInf Open IE Dataset"""


	import os

	import datasets


	_CITATION = """\
	@article{Khot2017AnsweringCQ,
	title={Answering Complex Questions Using Open Information Extraction},
	author={Tushar Khot and A. Sabharwal and Peter Clark},
	journal={ArXiv},
	year={2017},
	volume={abs/1704.05572}
	}
	"""

	_DESCRIPTION = """\
	The TupleInf Open IE dataset contains Open IE tuples extracted from 263K sentences that were used by the solver \
	in “Answering Complex Questions Using Open Information Extraction” (referred as Tuple KB, T). \
	These sentences were collected from a large Web corpus using training questions from 4th and 8th grade as queries. \
	This dataset contains 156K sentences collected for 4th grade questions and 107K sentences for 8th grade questions. \
	Each sentence is followed by the Open IE v4 tuples using their simple format.
	"""

	_HOMEPAGE = "https://allenai.org/data/tuple-ie"

	_URL = "https://ai2-public-datasets.s3.amazonaws.com/tuple-ie/TupleInfKB.zip"

	_DOMAIN_FILES = {"4th_grade": "4thGradeOpenIE.txt", "8th_grade": "8thGradeOpenIE.txt"}


	class TupleIEConfig(datasets.BuilderConfig):
	"""BuilderConfig for TupleIE"""

	def __init__(self, args, domains=None, *kwargs):
	super().__init__(args, *kwargs)
	self.domains = domains


	class TupleIE(datasets.GeneratorBasedBuilder):
	"""TupleInf Open IE Dataset"""

	BUILDER_CONFIGS = [
	TupleIEConfig(
	name="all",
	domains=list(_DOMAIN_FILES.keys()),
	description="collected using training questions from 4th and 8th grade as queries.",
	)
	] + [
	TupleIEConfig(
	name=name, domains=[name], description=f"collected using training questions from {name} as queries."
	)
	for name in _DOMAIN_FILES.keys()
	]
	BUILDER_CONFIG_CLASS = TupleIEConfig
	DEFAULT_CONFIG_NAME = "all"

	def _info(self):
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{
	"sentence": datasets.Value("string"),
	"tuples": datasets.features.Sequence(
	{
	"score": datasets.Value("float"),
	"tuple_text": datasets.Value("string"),
	"context": datasets.Value("string"),
	"arg1": datasets.Value("string"),
	"rel": datasets.Value("string"),
	"arg2s": datasets.features.Sequence(datasets.Value("string")),
	}
	),
	}
	),
	supervised_keys=None,
	homepage=_HOMEPAGE,
	citation=_CITATION,
	)

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

	def _generate_examples(self, data_dir):
	"""Yields examples."""
	id_ = -1
	for domain in self.config.domains:
	with open(os.path.join(data_dir, _DOMAIN_FILES[domain]), encoding="utf-8") as f:
	all_text = f.read()
	samples = all_text.split("\n\n")
	for sample in samples:
	rows = sample.split("\n")
	item = {"sentence": rows[0], "tuples": []}
	tuple_lines = rows[1:]
	for tuple_line in tuple_lines:
	score, tuple_text = tuple_line.split(" ", 1)
	context, arg1, rel, arg2s = self._decode_tuple_text(tuple_text)
	item["tuples"].append(
	{
	"score": score,
	"tuple_text": tuple_text,
	"context": context,
	"arg1": arg1,
	"rel": rel,
	"arg2s": arg2s,
	}
	)
	id_ += 1
	yield id_, item

	def _decode_tuple_text(self, tuple_text):
	"""Decompose the tuple text into arguments and relations

	Args:
	tuple_text (str): Format of extraction text:

	```
	{Context(<context>):}(<arg1>; <rel>; {[L\|T]:}<arg2_1>; {[L\|T]:}<arg2_2>; ...)
	```

	.. note::
	* ``{}`` means one can be optionally appear
	* ``[L\|T]`` means ``L`` or ``T``
	* ``L`` means spatial/location argument
	* ``T`` means temporal argument
	* We can have multiple arg2s
	"""
	context = ""
	arg1 = ""
	rel = ""
	arg2s = []
	if tuple_text.startswith("Context("):
	context, tuple_text = tuple_text.split(":", 1)
	context = context[len("Context(") : -1]

	args = tuple_text[1:-1].split("; ")
	arg1, rel = args[:2]
	arg2s = args[2:]
	return context, arg1, rel, arg2s