Datasets:
tlc

	#!/usr/bin/env python
	# -- coding: utf-8 --
	"""Thai Literature Corpora (TLC): Corpora of machine-ingestible Thai classical literature texts."""


	import json

	import datasets


	_CITATION = """\
	@misc{
	author={Sawatphol, Jitkapat},
	title={Thai Literature Corpora},
	year={2019},
	howpublished={\\url{https://attapol.github.io/tlc.html}}
	}
	"""

	_HOMEPAGE = "https://attapol.github.io/tlc.html"

	_DESCRIPTION = """\
	Thai Literature Corpora (TLC): Corpora of machine-ingestible Thai classical literature texts.

	Release: 6/25/19

	It consists of two datasets:

	## TLC set
	It is texts from [Vajirayana Digital Library](https://vajirayana.org/), stored by chapters and stanzas (non-tokenized).

	tlc v.2.0 (6/17/19 : a total of 34 documents, 292,270 lines, 31,790,734 characters)
	tlc v.1.0 (6/11/19 : a total of 25 documents, 113,981 lines, 28,775,761 characters)

	## TNHC set
	It is texts from Thai National Historical Corpus, stored by lines (manually tokenized).

	tnhc v.1.0 (6/25/19 : a total of 47 documents, 756,478 lines, 13,361,142 characters)
	"""

	_URLs = {
	"tlcv1.0": "https://github.com/jitkapat/thailitcorpus/releases/download/v.1.0/tlc_v.1.0.tar.gz",
	"tlcv2.0": "https://github.com/jitkapat/thailitcorpus/releases/download/v.2.0/tlc_v.2.0.tar.gz",
	"tnhcv1.0": "https://github.com/jitkapat/thailitcorpus/releases/download/v.1.0/tnhc_v.1.0.tar.gz",
	}
	_FILENAMES = {
	"tlcv1.0": "นิราศอิเหนา.json",
	"tlcv2.0": "นิราศอิเหนา.json",
	"tnhcv1.0": "กาพย์เห่เรือ.json",
	}


	class TlcConfig(datasets.BuilderConfig):
	"""BuilderConfig for Tlc."""

	def __init__(self, **kwargs):
	"""BuilderConfig for Tlc.

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


	class Tlc(datasets.GeneratorBasedBuilder):
	"""Thai Literature Corpora (TLC): Corpora of machine-ingestible Thai classical literature texts."""

	BUILDER_CONFIGS = [
	datasets.BuilderConfig(
	name="tlcv1.0", version=datasets.Version("1.0.0"), description="Thai Literature Corpora"
	),
	datasets.BuilderConfig(
	name="tlcv2.0", version=datasets.Version("2.0.0"), description="Thai Literature Corpora"
	),
	datasets.BuilderConfig(
	name="tnhcv1.0",
	version=datasets.Version("1.0.0"),
	description="Thai Literature Corpora: Thai National Historical Corpus",
	),
	]

	DEFAULT_CONFIG_NAME = "tlcv2.0"

	def _info(self):
	if self.config.name.startswith("tlc"):
	features = datasets.Features(
	{
	"ch_num": datasets.Value("string"),
	"title": datasets.Value("string"),
	"text": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
	}
	)
	else:
	features = datasets.Features(
	{
	"text": datasets.Sequence((datasets.Value("string"))),
	}
	)

	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=features,
	supervised_keys=None,
	homepage=_HOMEPAGE,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	archive = dl_manager.download(_URLs[self.config.name])

	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={"files": dl_manager.iter_archive(archive), "filepath": _FILENAMES[self.config.name]},
	)
	]

	def _generate_examples(self, files, filepath):
	_id = 0
	for path, f in files:
	if path == filepath:
	data = json.loads(f.read().decode("utf-8"))
	for d in data:
	if self.config.name.startswith("tlc"):
	yield _id, d
	else:
	yield _id, {"text": d}
	_id += 1
	break