init
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35
transformers/examples/legacy/seq2seq/sentence_splitter.py
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35
transformers/examples/legacy/seq2seq/sentence_splitter.py
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# Copyright 2020 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import re
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from filelock import FileLock
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try:
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import nltk
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NLTK_AVAILABLE = True
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except (ImportError, ModuleNotFoundError):
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NLTK_AVAILABLE = False
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if NLTK_AVAILABLE:
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with FileLock(".lock") as lock:
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nltk.download("punkt", quiet=True)
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def add_newline_to_end_of_each_sentence(x: str) -> str:
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"""This was added to get rougeLsum scores matching published rougeL scores for BART and PEGASUS."""
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re.sub("<n>", "", x) # remove pegasus newline char
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assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
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return "\n".join(nltk.sent_tokenize(x))
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