Datasets:
iapp_wiki_qa_squad

	import json
	import os

	import datasets


	_CITATION = """\
	@dataset{kobkrit_viriyayudhakorn_2021_4539916,
	author = {Kobkrit Viriyayudhakorn and
	Charin Polpanumas},
	title = {iapp_wiki_qa_squad},
	month = feb,
	year = 2021,
	publisher = {Zenodo},
	version = 1,
	doi = {10.5281/zenodo.4539916},
	url = {https://doi.org/10.5281/zenodo.4539916}
	}
	"""

	_DESCRIPTION = """\
	`iapp_wiki_qa_squad` is an extractive question answering dataset from Thai Wikipedia articles.
	It is adapted from [the original iapp-wiki-qa-dataset](https://github.com/iapp-technology/iapp-wiki-qa-dataset)
	to [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) format, resulting in
	5761/742/739 questions from 1529/191/192 articles.
	"""


	class IappWikiQaSquadConfig(datasets.BuilderConfig):
	def __init__(self, **kwargs):
	"""BuilderConfig

	Args:
	**kwargs: keyword arguments forwarded to super.
	"""
	super(IappWikiQaSquadConfig, self).__init__(**kwargs)


	class IappWikiQaSquad(datasets.GeneratorBasedBuilder):
	_DOWNLOAD_URL = "https://github.com/iapp-technology/iapp-wiki-qa-dataset/raw/main/squad_format/data.zip"
	_TRAIN_FILE = "train.jsonl"
	_VALID_FILE = "valid.jsonl"
	_TEST_FILE = "test.jsonl"

	BUILDER_CONFIGS = [
	IappWikiQaSquadConfig(
	name="iapp_wiki_qa_squad",
	version=datasets.Version("1.0.0"),
	description=_DESCRIPTION,
	),
	]

	def _info(self):
	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"),
	"article_id": datasets.Value("string"),
	"title": datasets.Value("string"),
	"context": datasets.Value("string"),
	"question": datasets.Value("string"),
	"answers": datasets.features.Sequence(
	{
	"text": datasets.Value("string"),
	"answer_start": datasets.Value("int32"),
	"answer_end": datasets.Value("int32"),
	}
	),
	}
	),
	# 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://github.com/iapp-technology/iapp-wiki-qa-dataset/",
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	arch_path = dl_manager.download_and_extract(self._DOWNLOAD_URL)
	data_dir = os.path.join(arch_path, "data")
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={"filepath": os.path.join(data_dir, self._TRAIN_FILE)},
	),
	datasets.SplitGenerator(
	name=datasets.Split.VALIDATION,
	gen_kwargs={"filepath": os.path.join(data_dir, self._VALID_FILE)},
	),
	datasets.SplitGenerator(
	name=datasets.Split.TEST,
	gen_kwargs={"filepath": os.path.join(data_dir, self._TEST_FILE)},
	),
	]

	def _generate_examples(self, filepath):
	"""Yields examples."""
	with open(filepath, encoding="utf-8") as f:
	for id_, row in enumerate(f):
	data = json.loads(row)

	yield id_, {
	"question_id": data["question_id"],
	"article_id": data["article_id"],
	"title": data["title"],
	"context": data["context"],
	"question": data["question"],
	"answers": {
	"text": data["answers"]["text"],
	"answer_start": data["answers"]["answer_start"],
	"answer_end": data["answers"]["answer_end"],
	},
	}