Update files from the datasets library (from 1.1.3)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.1.3

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

bookcorpusopen.py

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+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# 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.
+
+# Lint as: python3
+"""The BookCorpus dataset based on Shawn Presser's work https://github.com/soskek/bookcorpus/issues/27 """
+
+from __future__ import absolute_import, division, print_function
+
+import glob
+import os
+import pathlib
+
+import datasets
+
+
+_DESCRIPTION = """\
+Books are a rich source of both fine-grained information, how a character, \
+an object or a scene looks like, as well as high-level semantics, what \
+someone is thinking, feeling and how these states evolve through a story.\
+
+This version of bookcorpus has 17868 dataset items (books). Each item contains \
+two fields: title and text. The title is the name of the book (just the file name) \
+while text contains unprocessed book text. The bookcorpus has been prepared by \
+Shawn Presser and is generously hosted by The-Eye. The-Eye is a non-profit, community \
+driven platform dedicated to the archiving and long-term preservation of any and \
+all data including but by no means limited to... websites, books, games, software, \
+video, audio, other digital-obscura and ideas.
+"""
+
+_CITATION = """\
+@InProceedings{Zhu_2015_ICCV,
+    title = {Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books},
+    author = {Zhu, Yukun and Kiros, Ryan and Zemel, Rich and Salakhutdinov, Ruslan and Urtasun, Raquel and Torralba, Antonio and Fidler, Sanja},
+    booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
+    month = {December},
+    year = {2015}
+}
+"""
+_PROJECT_URL = "https://github.com/soskek/bookcorpus/issues/27"
+_DOWNLOAD_URL = "https://the-eye.eu/public/AI/pile_preliminary_components/books1.tar.gz"
+
+
+class BookCorpusOpenConfig(datasets.BuilderConfig):
+    """BuilderConfig for BookCorpus."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for BookCorpus.
+        Args:
+        **kwargs: keyword arguments forwarded to super.
+        """
+        super(BookCorpusOpenConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
+
+
+class BookCorpusOpen(datasets.GeneratorBasedBuilder):
+    """BookCorpus dataset."""
+
+    BUILDER_CONFIGS = [
+        BookCorpusOpenConfig(
+            name="plain_text",
+            description="Plain text",
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "title": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_PROJECT_URL,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        arch_path = dl_manager.download_and_extract(_DOWNLOAD_URL)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"directory": arch_path}),
+        ]
+
+    def _generate_examples(self, directory):
+        glob_target = os.path.join(directory, "**/*.epub.txt")
+        book_files = glob.glob(glob_target, recursive=True)
+        book_files = sorted(book_files)
+        _id = 0
+        for book_file_path in book_files:
+            path = pathlib.PurePath(book_file_path)
+            with open(book_file_path, mode="r", encoding="utf-8") as f:
+                yield _id, {"title": str(path.name), "text": f.read()},
+                _id += 1

dataset_infos.json

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+{"plain_text": {"description": "Books are a rich source of both fine-grained information, how a character, an object or a scene looks like, as well as high-level semantics, what someone is thinking, feeling and how these states evolve through a story.\nThis version of bookcorpus has 17868 dataset items (books). Each item contains two fields: title and text. The title is the name of the book (just the file name) while text contains unprocessed book text. The bookcorpus has been prepared by Shawn Presser and is generously hosted by The-Eye. The-Eye is a non-profit, community driven platform dedicated to the archiving and long-term preservation of any and all data including but by no means limited to... websites, books, games, software, video, audio, other digital-obscura and ideas.\n", "citation": "@InProceedings{Zhu_2015_ICCV,\n    title = {Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books},\n    author = {Zhu, Yukun and Kiros, Ryan and Zemel, Rich and Salakhutdinov, Ruslan and Urtasun, Raquel and Torralba, Antonio and Fidler, Sanja},\n    booktitle = {The IEEE International Conference on Computer Vision (ICCV)},\n    month = {December},\n    year = {2015}\n}\n", "homepage": "https://github.com/soskek/bookcorpus/issues/27", "license": "", "features": {"title": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "book_corpus_open", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 6644158829, "num_examples": 17868, "dataset_name": "book_corpus_open"}}, "download_checksums": {"https://the-eye.eu/public/AI/pile_preliminary_components/books1.tar.gz": {"num_bytes": 2404269430, "checksum": "e3c993cc825df2bdf0f78ef592f5c09236f0b9cd6bb1877142281acc50f446f9"}}, "download_size": 2404269430, "post_processing_size": null, "dataset_size": 6644158829, "size_in_bytes": 9048428259}}

dummy/plain_text/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6b8343a455886433f43a58368db069d1820d42f393c3e04a8e5e138eb41aa16a
+size 862302