Delete loading script

aeslc.py

@@ -1,107 +0,0 @@
-# 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."""
-
-
-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.
-"""
-
-# From: https://github.com/ryanzhumich/AESLC/archive/master.zip
-_URL = "data.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