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

aeslc.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
+"""Annotated Enron Subject Line Corpus Dataset."""
+
+from __future__ import absolute_import, division, print_function
+
+import glob
+import os
+
+import datasets
+
+
+_CITATION = """
+@misc{zhang2019email,
+    title={This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation},
+    author={Rui Zhang and Joel Tetreault},
+    year={2019},
+    eprint={1906.03497},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+"""
+
+_DESCRIPTION = """
+A collection of email messages of employees in the Enron Corporation.
+
+There are two features:
+  - email_body: email body text.
+  - subject_line: email subject text.
+"""
+
+_URL = "https://github.com/ryanzhumich/AESLC/archive/master.zip"
+
+_DOCUMENT = "email_body"
+_SUMMARY = "subject_line"
+
+
+class Aeslc(datasets.GeneratorBasedBuilder):
+    """Annotated Enron Subject Line Corpus 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/ryanzhumich/AESLC",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        dl_path = dl_manager.download_and_extract(_URL)
+        input_path = os.path.join(dl_path, "AESLC-master", "enron_subject_line")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"pattern": os.path.join(input_path, "train", "*.subject")},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"pattern": os.path.join(input_path, "dev", "*.subject")},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"pattern": os.path.join(input_path, "test", "*.subject")},
+            ),
+        ]
+
+    def _generate_examples(self, pattern=None):
+        """Yields examples."""
+        for filename in sorted(glob.glob(pattern)):
+            email_body, subject_line = _parse_email_file(filename)
+            key = os.path.basename(filename).rstrip(".subject")
+            yield key, {_DOCUMENT: email_body, _SUMMARY: subject_line}
+
+
+def _parse_email_file(filename):
+    """Parse email file text for email body and subject."""
+    with open(filename, encoding="utf-8") as f:
+        email_body = ""
+        for line in f:
+            if line == "\n":
+                break
+            email_body += line
+        line = next(f)
+        subject = ""
+        for line in f:
+            if line == "\n":
+                break
+            subject += line
+    return email_body, subject

dataset_infos.json

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+{"default": {"description": "\nA collection of email messages of employees in the Enron Corporation.\n\nThere are two features:\n  - email_body: email body text.\n  - subject_line: email subject text.\n", "citation": "\n@misc{zhang2019email,\n    title={This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation},\n    author={Rui Zhang and Joel Tetreault},\n    year={2019},\n    eprint={1906.03497},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/ryanzhumich/AESLC", "license": "", "features": {"email_body": {"dtype": "string", "id": null, "_type": "Value"}, "subject_line": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "email_body", "output": "subject_line"}, "builder_name": "aeslc", "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": 1384177, "num_examples": 1906, "dataset_name": "aeslc"}, "train": {"name": "train", "num_bytes": 11902668, "num_examples": 14436, "dataset_name": "aeslc"}, "validation": {"name": "validation", "num_bytes": 1660730, "num_examples": 1960, "dataset_name": "aeslc"}}, "download_checksums": {"https://github.com/ryanzhumich/AESLC/archive/master.zip": {"num_bytes": 11643743, "checksum": "b5ea2ffb837c5cfb9b033d62b3940a8a2330a9eb69bd2a39a9f55db6a23a40a4"}}, "download_size": 11643743, "dataset_size": 14947575, "size_in_bytes": 26591318}}

dummy/1.0.0/dummy_data.zip

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+oid sha256:56fb0ebcbd72036f72c0f5a20de360de22b0c78ea069eedc41fa70e3d0511691
+size 2257