wikitext_document_level.py.backup

# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# NOTE: This is a modified version of https://github.com/huggingface/datasets/blob/master/datasets/wikitext/wikitext.py
# that returns Wiki pages instead of Wiki text line-by-line.
"""WikiText Dataset."""


# 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://wikitext.smerity.com"


# 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(
#                 {
#                     "page": 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."""
#         with open(data_file, encoding="utf-8") as f:
#             key = 0
#             ret = []
#             data = f.read().split("\n")
#             for line in data:
#                 rline = line.replace("= = =", "===").replace("= =", "==").strip()
#                 if rline.startswith("= ") and rline.strip().endswith(" ="):
#                     page = "\n".join(ret)
#                     if page.strip():
#                         yield key, {"page": page}
#                         key += 1
#                     ret = []
#                 ret.append(line)
#             page = "\n".join(ret)
#             yield key, {"page": page}