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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+*.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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+{"default": {"description": "\nMulti-News, consists of news articles and human-written summaries\nof these articles from the site newser.com.\nEach summary is professionally written by editors and\nincludes links to the original articles cited.\n\nThere are two features:\n  - document: text of news articles seperated by special token \"|||||\".\n  - summary: news summary.\n", "citation": "\n@misc{alex2019multinews,\n    title={Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model},\n    author={Alexander R. Fabbri and Irene Li and Tianwei She and Suyi Li and Dragomir R. Radev},\n    year={2019},\n    eprint={1906.01749},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/Alex-Fabbri/Multi-News", "license": "", "features": {"document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "document", "output": "summary"}, "builder_name": "multi_news", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 70391756, "num_examples": 5622, "dataset_name": "multi_news"}, "train": {"name": "train", "num_bytes": 561166101, "num_examples": 44972, "dataset_name": "multi_news"}, "validation": {"name": "validation", "num_bytes": 68619448, "num_examples": 5622, "dataset_name": "multi_news"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C": {"num_bytes": 256966232, "checksum": "64ae4d2483b248c9664b50bacfab6821f8a3e93f382c7587686fa4a127f77626"}}, "download_size": 256966232, "dataset_size": 700177305, "size_in_bytes": 957143537}}

dummy/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1006c08da22ccb16f449245f20bee7ddceb776a3746463e675d1f7b567f55344
+size 1770

multi_news.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
+"""Multi-News dataset."""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+
+import datasets
+
+
+_CITATION = """
+@misc{alex2019multinews,
+    title={Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model},
+    author={Alexander R. Fabbri and Irene Li and Tianwei She and Suyi Li and Dragomir R. Radev},
+    year={2019},
+    eprint={1906.01749},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+"""
+
+_DESCRIPTION = """
+Multi-News, consists of news articles and human-written summaries
+of these articles from the site newser.com.
+Each summary is professionally written by editors and
+includes links to the original articles cited.
+
+There are two features:
+  - document: text of news articles seperated by special token "|||||".
+  - summary: news summary.
+"""
+
+_URL = "https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C"
+
+_DOCUMENT = "document"
+_SUMMARY = "summary"
+
+
+class MultiNews(datasets.GeneratorBasedBuilder):
+    """Multi-News dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({_DOCUMENT: datasets.Value("string"), _SUMMARY: datasets.Value("string")}),
+            supervised_keys=(_DOCUMENT, _SUMMARY),
+            homepage="https://github.com/Alex-Fabbri/Multi-News",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        extract_path = os.path.join(dl_manager.download_and_extract(_URL), "multi-news-original")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"path": os.path.join(extract_path, "train")},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"path": os.path.join(extract_path, "val")},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"path": os.path.join(extract_path, "test")},
+            ),
+        ]
+
+    def _generate_examples(self, path=None):
+        """Yields examples."""
+        with open(os.path.join(path + ".src"), encoding="utf-8") as src_f, open(
+            os.path.join(path + ".tgt"), encoding="utf-8"
+        ) as tgt_f:
+            for i, (src_line, tgt_line) in enumerate(zip(src_f, tgt_f)):
+                yield i, {
+                    # In original file, each line has one example and natural newline
+                    # tokens "\n" are being replaced with "NEWLINE_CHAR". Here restore
+                    # the natural newline token to avoid special vocab "NEWLINE_CHAR".
+                    _DOCUMENT: src_line.strip().replace("NEWLINE_CHAR", "\n"),
+                    # Remove the starting token "- " for every target sequence.
+                    _SUMMARY: tgt_line.strip().lstrip("- "),
+                }