121 lines
4 KiB
Python
121 lines
4 KiB
Python
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
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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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from GooglePretrainedWeightDownloader import GooglePretrainedWeightDownloader
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from NVIDIAPretrainedWeightDownloader import NVIDIAPretrainedWeightDownloader
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from WikiDownloader import WikiDownloader
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from BooksDownloader import BooksDownloader
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from GLUEDownloader import GLUEDownloader
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from SquadDownloader import SquadDownloader
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from PubMedDownloader import PubMedDownloader
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class Downloader:
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def __init__(self, dataset_name, save_path):
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self.dataset_name = dataset_name
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self.save_path = save_path
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def download(self):
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if self.dataset_name == 'bookscorpus':
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self.download_bookscorpus()
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elif self.dataset_name == 'wikicorpus_en':
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self.download_wikicorpus('en')
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elif self.dataset_name == 'wikicorpus_zh':
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self.download_wikicorpus('zh')
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elif self.dataset_name == 'pubmed_baseline':
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self.download_pubmed('baseline')
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elif self.dataset_name == 'pubmed_daily_update':
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self.download_pubmed('daily_update')
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elif self.dataset_name == 'pubmed_fulltext':
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self.download_pubmed('fulltext')
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elif self.dataset_name == 'pubmed_open_access':
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self.download_pubmed('open_access')
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elif self.dataset_name == 'google_pretrained_weights':
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self.download_google_pretrained_weights()
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elif self.dataset_name == 'nvidia_pretrained_weights':
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self.download_nvidia_pretrained_weights()
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elif self.dataset_name == 'MRPC':
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self.download_glue(self.dataset_name)
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elif self.dataset_name == 'MNLI':
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self.download_glue(self.dataset_name)
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elif self.dataset_name == 'CoLA':
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self.download_glue(self.dataset_name)
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elif self.dataset_name == 'squad':
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self.download_squad()
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elif self.dataset_name == 'all':
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self.download_bookscorpus()
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self.download_wikicorpus('en')
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self.download_wikicorpus('zh')
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self.download_pubmed('baseline')
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self.download_pubmed('daily_update')
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self.download_pubmed('fulltext')
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self.download_pubmed('open_access')
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self.download_google_pretrained_weights()
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self.download_nvidia_pretrained_weights()
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self.download_glue("CoLA")
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self.download_glue("MNLI")
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self.download_glue("MRPC")
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self.download_squad()
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else:
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print(self.dataset_name)
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assert False, 'Unknown dataset_name provided to downloader'
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def download_bookscorpus(self):
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downloader = BooksDownloader(self.save_path)
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downloader.download()
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def download_wikicorpus(self, language):
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downloader = WikiDownloader(language, self.save_path)
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downloader.download()
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def download_pubmed(self, subset):
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downloader = PubMedDownloader(subset, self.save_path)
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downloader.download()
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def download_google_pretrained_weights(self):
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downloader = GooglePretrainedWeightDownloader(self.save_path)
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downloader.download()
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def download_nvidia_pretrained_weights(self):
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downloader = NVIDIAPretrainedWeightDownloader(self.save_path)
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downloader.download()
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def download_glue(self, glue_task_name):
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downloader = GLUEDownloader(glue_task_name, self.save_path)
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downloader.download()
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def download_squad(self):
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downloader = SquadDownloader(self.save_path)
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downloader.download()
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