Update files from the datasets library (from 1.1.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.1.0
c4.py
CHANGED
@@ -145,6 +145,7 @@ class C4(datasets.BeamBasedBuilder):
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),
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]
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def manual_download_instructions(self):
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return """\
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For the WebText-like config, you must manually download 'OpenWebText.zip'
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@@ -201,7 +202,7 @@ class C4(datasets.BeamBasedBuilder):
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wet_urls = []
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for wet_path_url in file_paths["wet_path_urls"]:
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with open(wet_path_url, "r", encoding="utf-8") as f:
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-
wet_urls.extend(["%s/%s" % (_DOWNLOAD_HOST,
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file_paths["wet_urls"] = wet_urls
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file_paths["wet_files"] = []
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@@ -300,7 +301,7 @@ class C4(datasets.BeamBasedBuilder):
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# Output: url, text
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if self.config.clean:
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with open(file_paths["badwords"], "r", encoding="utf-8") as f:
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-
badwords = [
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page_content = page_content | "clean_pages" >> beam.FlatMap(get_clean_page_fn(badwords))
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page_content = remove_duplicate_text(page_content)
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),
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]
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+
@property
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def manual_download_instructions(self):
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return """\
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For the WebText-like config, you must manually download 'OpenWebText.zip'
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wet_urls = []
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for wet_path_url in file_paths["wet_path_urls"]:
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with open(wet_path_url, "r", encoding="utf-8") as f:
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wet_urls.extend(["%s/%s" % (_DOWNLOAD_HOST, line.strip()) for line in f])
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file_paths["wet_urls"] = wet_urls
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file_paths["wet_files"] = []
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# Output: url, text
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if self.config.clean:
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with open(file_paths["badwords"], "r", encoding="utf-8") as f:
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badwords = [line.strip() for line in f]
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page_content = page_content | "clean_pages" >> beam.FlatMap(get_clean_page_fn(badwords))
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page_content = remove_duplicate_text(page_content)
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