Update files from the datasets library (from 1.0.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.0

.gitattributes

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+*.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
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+*.zstandard filter=lfs diff=lfs merge=lfs -text
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dataset_infos.json

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+{"en": {"description": "\nClean-up text for 40+ Wikipedia languages editions of pages\ncorrespond to entities. The datasets have train/dev/test splits per language.\nThe dataset is cleaned up by page filtering to remove disambiguation pages,\nredirect pages, deleted pages, and non-entity pages. Each example contains the\nwikidata id of the entity, and the full Wikipedia article after page processing\nthat removes non-content sections and structured objects.\n", "citation": "\n", "homepage": "https://research.google/pubs/pub49029/", "license": "", "features": {"wikidata_id": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "version_id": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "wiki40b", "config_name": "en", "version": {"version_str": "1.1.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 9423623904, "num_examples": 2926536, "dataset_name": "wiki40b"}, "validation": {"name": "validation", "num_bytes": 527383016, "num_examples": 163597, "dataset_name": "wiki40b"}, "test": {"name": "test", "num_bytes": 522219464, "num_examples": 162274, "dataset_name": "wiki40b"}}, "download_checksums": {}, "download_size": 0, "dataset_size": 10473226384, "size_in_bytes": 10473226384}}

wiki40b.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.
+
+"""Wiki40B: A clean Wikipedia dataset for 40+ languages."""
+
+from __future__ import absolute_import, division, print_function
+
+import logging
+import os
+
+import datasets
+
+
+_CITATION = """
+"""
+
+_DESCRIPTION = """
+Clean-up text for 40+ Wikipedia languages editions of pages
+correspond to entities. The datasets have train/dev/test splits per language.
+The dataset is cleaned up by page filtering to remove disambiguation pages,
+redirect pages, deleted pages, and non-entity pages. Each example contains the
+wikidata id of the entity, and the full Wikipedia article after page processing
+that removes non-content sections and structured objects.
+"""
+
+_LICENSE = """
+This work is licensed under the Creative Commons Attribution-ShareAlike
+3.0 Unported License. To view a copy of this license, visit
+http://creativecommons.org/licenses/by-sa/3.0/ or send a letter to
+Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
+"""
+
+_URL = "https://research.google/pubs/pub49029/"
+
+_DATA_DIRECTORY = "gs://tfds-data/downloads/wiki40b/tfrecord_prod"
+
+WIKIPEDIA_LANGUAGES = [
+    "en",
+    "ar",
+    "zh-cn",
+    "zh-tw",
+    "nl",
+    "fr",
+    "de",
+    "it",
+    "ja",
+    "ko",
+    "pl",
+    "pt",
+    "ru",
+    "es",
+    "th",
+    "tr",
+    "bg",
+    "ca",
+    "cs",
+    "da",
+    "el",
+    "et",
+    "fa",
+    "fi",
+    "he",
+    "hi",
+    "hr",
+    "hu",
+    "id",
+    "lt",
+    "lv",
+    "ms",
+    "no",
+    "ro",
+    "sk",
+    "sl",
+    "sr",
+    "sv",
+    "tl",
+    "uk",
+    "vi",
+]
+
+
+class Wiki40bConfig(datasets.BuilderConfig):
+    """BuilderConfig for Wiki40B."""
+
+    def __init__(self, language=None, **kwargs):
+        """BuilderConfig for Wiki40B.
+
+        Args:
+          language: string, the language code for the Wiki40B dataset to use.
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(Wiki40bConfig, self).__init__(
+            name=str(language), description="Wiki40B dataset for {0}.".format(language), **kwargs
+        )
+        self.language = language
+
+
+_VERSION = datasets.Version("1.1.0")
+
+
+class Wiki40b(datasets.BeamBasedBuilder):
+    """Wiki40B: A Clean Wikipedia Dataset for Mutlilingual Language Modeling."""
+
+    BUILDER_CONFIGS = [
+        Wiki40bConfig(
+            version=_VERSION,
+            language=lang,
+        )  # pylint:disable=g-complex-comprehension
+        for lang in WIKIPEDIA_LANGUAGES
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "wikidata_id": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                    "version_id": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_URL,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+
+        lang = self.config.language
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepaths": os.path.join(_DATA_DIRECTORY, "train", "{}_examples-*".format(lang))},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepaths": os.path.join(_DATA_DIRECTORY, "dev", "{}_examples-*".format(lang))},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepaths": os.path.join(_DATA_DIRECTORY, "test", "{}_examples-*".format(lang))},
+            ),
+        ]
+
+    def _build_pcollection(self, pipeline, filepaths):
+        """Build PCollection of examples."""
+        import apache_beam as beam
+        import tensorflow as tf
+
+        logging.info("generating examples from = %s", filepaths)
+
+        def _extract_content(example):
+            """Extracts content from a TFExample."""
+            wikidata_id = example.features.feature["wikidata_id"].bytes_list.value[0].decode("utf-8")
+            text = example.features.feature["text"].bytes_list.value[0].decode("utf-8")
+            version_id = example.features.feature["version_id"].bytes_list.value[0].decode("utf-8")
+
+            # wikidata_id could be duplicated with different texts.
+            yield wikidata_id + text, {
+                "wikidata_id": wikidata_id,
+                "text": text,
+                "version_id": version_id,
+            }
+
+        return (
+            pipeline
+            | beam.io.ReadFromTFRecord(filepaths, coder=beam.coders.ProtoCoder(tf.train.Example))
+            | beam.FlatMap(_extract_content)
+        )