Datasets:

mindchain
/

wikitext2

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


	import os

	import datasets


	_CITATION = """\
	@misc{merity2016pointer,
	title={Pointer Sentinel Mixture Models},
	author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},
	year={2016},
	eprint={1609.07843},
	archivePrefix={arXiv},
	primaryClass={cs.CL}
	}
	"""

	_DESCRIPTION = """\
	The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified
	Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike
	License.
	"""
	_HOMEPAGE = "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/"
	_LICENSE = "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)"
	_DATA_URL = "https://s3.amazonaws.com/research.metamind.io/wikitext"


	class WikitextConfig(datasets.BuilderConfig):
	"""BuilderConfig for GLUE."""

	def __init__(self, data_url, **kwargs):
	"""BuilderConfig for Wikitext

	Args:
	data_url: `string`, url to the dataset (word or raw level)
	**kwargs: keyword arguments forwarded to super.
	"""
	super(WikitextConfig, self).__init__(
	version=datasets.Version(
	"1.0.0",
	),
	**kwargs,
	)
	self.data_url = data_url


	class Wikitext(datasets.GeneratorBasedBuilder):
	"""TODO(wikitext_103): Short description of my dataset."""

	# TODO(wikitext_103): Set up version.
	VERSION = datasets.Version("0.1.0")
	BUILDER_CONFIGS = [
	WikitextConfig(
	name="wikitext-103-v1",
	data_url=_DATA_URL + "/" + "wikitext-103-v1.zip",
	description="Word level dataset. No processing is needed other than replacing newlines with <eos> tokens.",
	),
	WikitextConfig(
	name="wikitext-2-v1",
	data_url=_DATA_URL + "/" + "wikitext-2-v1.zip",
	description="Word level dataset. No processing is needed other than replacing newlines with <eos> tokens.",
	),
	WikitextConfig(
	name="wikitext-103-raw-v1",
	data_url=_DATA_URL + "/" + "wikitext-103-raw-v1.zip",
	description="Raw level dataset: the raw tokens before the addition of <unk> tokens. "
	"They should only be used for character level work or for creating newly derived datasets.",
	),
	WikitextConfig(
	name="wikitext-2-raw-v1",
	data_url=_DATA_URL + "/" + "wikitext-2-raw-v1.zip",
	description="Raw level dataset: the raw tokens before the addition of <unk> tokens. "
	"They should only be used for character level work or for creating newly derived datasets.",
	),
	]

	def _info(self):
	# TODO(wikitext): 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(
	{
	"text": datasets.Value("string")
	# 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=_HOMEPAGE,
	license=_LICENSE,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	"""Returns SplitGenerators."""
	# TODO(wikitext): Downloads the data and defines the splits
	# dl_manager is a datasets.download.DownloadManager that can be used to
	# download and extract URLs
	if self.config.name == "wikitext-103-v1":
	data_file = dl_manager.download_and_extract(self.config.data_url)
	data_dir = os.path.join(data_file, "wikitext-103")
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TEST,
	gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.tokens"), "split": "test"},
	),
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.tokens"), "split": "train"},
	),
	datasets.SplitGenerator(
	name=datasets.Split.VALIDATION,
	gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.tokens"), "split": "valid"},
	),
	]
	else:
	if self.config.name == "wikitext-103-raw-v1":
	data_file = dl_manager.download_and_extract(self.config.data_url)
	data_dir = os.path.join(data_file, "wikitext-103-raw")
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TEST,
	gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.raw"), "split": "test"},
	),
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.raw"), "split": "train"},
	),
	datasets.SplitGenerator(
	name=datasets.Split.VALIDATION,
	gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.raw"), "split": "valid"},
	),
	]
	else:
	if self.config.name == "wikitext-2-raw-v1":
	data_file = dl_manager.download_and_extract(self.config.data_url)
	data_dir = os.path.join(data_file, "wikitext-2-raw")
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TEST,
	gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.raw"), "split": "test"},
	),
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={"data_file": os.path.join(data_dir, "wiki.train.raw"), "split": "train"},
	),
	datasets.SplitGenerator(
	name=datasets.Split.VALIDATION,
	gen_kwargs={"data_file": os.path.join(data_dir, "wiki.valid.raw"), "split": "valid"},
	),
	]
	else:
	if self.config.name == "wikitext-2-v1":
	data_file = dl_manager.download_and_extract(self.config.data_url)
	data_dir = os.path.join(data_file, "wikitext-2")
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TEST,
	gen_kwargs={"data_file": os.path.join(data_dir, "wiki.test.tokens"), "split": "test"},
	),
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={
	"data_file": os.path.join(data_dir, "wiki.train.tokens"),
	"split": "train",
	},
	),
	datasets.SplitGenerator(
	name=datasets.Split.VALIDATION,
	gen_kwargs={
	"data_file": os.path.join(data_dir, "wiki.valid.tokens"),
	"split": "valid",
	},
	),
	]

	def _generate_examples(self, data_file, split):

	"""Yields examples."""
	# TODO(wikitext): Yields (key, example) tuples from the dataset
	with open(data_file, encoding="utf-8") as f:
	for idx, row in enumerate(f):
	if row.strip():
	yield idx, {"text": row}
	else:
	yield idx, {"text": ""}