Rename wikitext_document_level.py to wikitext_document_level.py.backup

wikitext_document_level.py

@@ -1,252 +0,0 @@
-# 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}

wikitext_document_level.py.backup

@@ -0,0 +1,252 @@
+# 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}