Update files from the datasets library (from 1.1.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.1.0

.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

dataset_infos.json

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+{"plain_text": {"description": "An open-source replication of the WebText dataset from OpenAI.\n", "citation": "@misc{Gokaslan2019OpenWeb,  \n\ttitle={OpenWebText Corpus},\n\tauthor={Aaron Gokaslan*, Vanya Cohen*, Ellie Pavlick, Stefanie Tellex},\n\thowpublished{\\url{http://Skylion007.github.io/OpenWebTextCorpus}}, \n\tyear={2019}\n}\n", "homepage": "https://skylion007.github.io/OpenWebTextCorpus/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "openwebtext", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 39769494896, "num_examples": 8013769, "dataset_name": "openwebtext"}}, "download_checksums": {"https://zenodo.org/record/3834942/files/openwebtext.tar.xz": {"num_bytes": 12880027468, "checksum": "9fe39d154c5bc67da8c359415372b79510eb1e2edb0d035fe4f7fc3a732b9336"}}, "download_size": 12880027468, "post_processing_size": null, "dataset_size": 39769494896, "size_in_bytes": 52649522364}}

dummy/plain_text/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a86b562b3452a6bf2588ba6cd4184c3f636d473db15024a00b1e5fa7c6f69bfe
+size 9786

openwebtext.py

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+# coding=utf-8
+# 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.
+"""The Open WebText Corpus"""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+import re
+from itertools import chain
+
+import datasets
+
+
+_CITATION = """\
+@misc{Gokaslan2019OpenWeb,
+  title={OpenWebText Corpus},
+  author={Aaron Gokaslan*, Vanya Cohen*, Ellie Pavlick, Stefanie Tellex},
+  howpublished{\\url{http://Skylion007.github.io/OpenWebTextCorpus}},
+  year={2019}
+}
+"""
+
+_DESCRIPTION = """\
+An open-source replication of the WebText dataset from OpenAI.
+"""
+
+_URL = "https://zenodo.org/record/3834942/files/openwebtext.tar.xz"
+
+
+class Openwebtext(datasets.GeneratorBasedBuilder):
+    """The Open WebText dataset."""
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="plain_text",
+            description="Plain text",
+            version=datasets.Version("1.0.0"),
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({"text": datasets.Value("string")}),
+            homepage="https://skylion007.github.io/OpenWebTextCorpus/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        dl_dir = dl_manager.download_and_extract(_URL)
+        owt_dir = os.path.join(dl_dir, "openwebtext")
+        subset_xzs = [
+            os.path.join(owt_dir, file_name)
+            for file_name in sorted(os.listdir(owt_dir))
+            if file_name.endswith("xz")  # filter out ...xz.lock
+        ]
+        ex_dirs = dl_manager.extract(subset_xzs, num_proc=round(os.cpu_count() * 0.75))
+        nested_txt_files = [
+            [
+                os.path.join(ex_dir, txt_file_name)
+                for txt_file_name in sorted(os.listdir(ex_dir))
+                if txt_file_name.endswith("txt")
+            ]
+            for ex_dir in ex_dirs
+        ]
+        txt_files = chain(*nested_txt_files)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"txt_files": txt_files}),
+        ]
+
+    def _generate_examples(self, txt_files):
+        """ Yields examples. """
+        for idx, filepath in enumerate(txt_files):
+            with open(filepath, encoding="utf-8") as f:
+                yield idx, {"text": re.sub("\n\n\n+", "\n\n", f.read()).strip()}