Datasets:
thaiqa_squad

	"""TODO(squad_v2): Add a description here."""


	import json
	import os

	import datasets


	_CITATION = """\
	No clear citation guidelines from source:
	https://aiforthai.in.th/corpus.php
	SQuAD version:
	https://github.com/PyThaiNLP/thaiqa_squad
	"""

	_DESCRIPTION = """\
	`thaiqa_squad` is an open-domain, extractive question answering dataset (4,000 questions in `train` and 74 questions in `dev`) in
	[SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) format, originally created by [NECTEC](https://www.nectec.or.th/en/) from
	Wikipedia articles and adapted to [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) format by [PyThaiNLP](https://github.com/PyThaiNLP/).
	"""


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

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


	class ThaiqaSquad(datasets.GeneratorBasedBuilder):
	_DOWNLOAD_URL = "https://github.com/PyThaiNLP/thaiqa_squad/raw/main/data.zip"
	_TRAIN_FILE = "train.jsonl"
	_VAL_FILE = "dev.jsonl"

	BUILDER_CONFIGS = [
	ThaiQaSquadConfig(
	name="thaiqa_squad",
	version=datasets.Version("1.0.0"),
	description="`thaiqa_squad` is an open-domain, extractive question answering dataset (4,000 questions in `train` and 74 questions in `dev`) in [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) format",
	),
	]

	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("int32"),
	"article_id": datasets.Value("int32"),
	"context": datasets.Value("string"),
	"question": datasets.Value("string"),
	"answers": datasets.features.Sequence(
	{
	"answer": datasets.Value("string"),
	"answer_begin_position": datasets.Value("int32"),
	"answer_end_position": 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/PyThaiNLP/thaiqa_squad",
	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._VAL_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)
	if not isinstance(data["answer"], list):
	answer = [data["answer"]]
	answer_begin_position = [data["answer_begin_position"]]
	answer_end_position = [data["answer_end_position"]]
	yield id_, {
	"question_id": data["question_id"],
	"article_id": data["article_id"],
	"context": data["context"],
	"question": data["question"],
	"answers": {
	"answer": answer,
	"answer_begin_position": answer_begin_position,
	"answer_end_position": answer_end_position,
	},
	}