Datasets:
wiki_qa

	"""TODO(wiki_qa): Add a description here."""

	from __future__ import absolute_import, division, print_function

	import csv
	import os

	import datasets


	# TODO(wiki_qa): BibTeX citation
	_CITATION = """\
	@InProceedings{YangYihMeek:EMNLP2015:WikiQA,
	author = {{Yi}, Yang and {Wen-tau}, Yih and {Christopher} Meek},
	title = "{WikiQA: A Challenge Dataset for Open-Domain Question Answering}",
	journal = {Association for Computational Linguistics},
	year = 2015,
	doi = {10.18653/v1/D15-1237},
	pages = {2013–2018},
	}
	"""

	# TODO(wiki_qa):
	_DESCRIPTION = """\
	Wiki Question Answering corpus from Microsoft
	"""

	_DATA_URL = "https://download.microsoft.com/download/E/5/f/E5FCFCEE-7005-4814-853D-DAA7C66507E0/WikiQACorpus.zip" # 'https://www.microsoft.com/en-us/download/confirmation.aspx?id=52419'


	class WikiQa(datasets.GeneratorBasedBuilder):
	"""TODO(wiki_qa): Short description of my dataset."""

	# TODO(wiki_qa): Set up version.
	VERSION = datasets.Version("0.1.0")

	def _info(self):
	# TODO(wiki_qa): Specifies the datasets.DatasetInfo object
	return datasets.DatasetInfo(
	# This is the description that will appear on the datasets page.
	description=_DESCRIPTION,
	# datasets.features.FeatureConnectors
	features=datasets.Features(
	{
	"question_id": datasets.Value("string"),
	"question": datasets.Value("string"),
	"document_title": datasets.Value("string"),
	"answer": datasets.Value("string"),
	"label": datasets.features.ClassLabel(num_classes=2),
	# These are the features of your dataset like images, labels ...
	}
	),
	# If there's a common (input, target) tuple from the features,
	# specify them here. They'll be used if as_supervised=True in
	# builder.as_dataset.
	supervised_keys=None,
	# Homepage of the dataset for documentation
	homepage="https://www.microsoft.com/en-us/download/details.aspx?id=52419",
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	"""Returns SplitGenerators."""
	# TODO(wiki_qa): Downloads the data and defines the splits
	# dl_manager is a datasets.download.DownloadManager that can be used to
	# download and extract URLs
	dl_dir = dl_manager.download_and_extract(_DATA_URL)
	dl_dir = os.path.join(dl_dir, "WikiQACorpus")
	# dl_dir = os.path.join(dl_dir, '')
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(dl_dir, "WikiQA-test.tsv")}
	),
	datasets.SplitGenerator(
	name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(dl_dir, "WikiQA-dev.tsv")}
	),
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	# These kwargs will be passed to _generate_examples
	gen_kwargs={"filepath": os.path.join(dl_dir, "WikiQA-train.tsv")},
	),
	]

	def _generate_examples(self, filepath):
	"""Yields examples."""
	# TODO(wiki_qa): Yields (key, example) tuples from the dataset

	with open(filepath, encoding="utf-8") as f:
	reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
	for idx, row in enumerate(reader):
	yield idx, {
	"question_id": row["QuestionID"],
	"question": row["Question"],
	"document_title": row["DocumentTitle"],
	"answer": row["Sentence"],
	"label": row["Label"],
	}