NLP/wikiextractor
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extract language and revion from cirrus search

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This simple push extracts the langauge and the page review. These are then added to the XML
This commit is contained in:
Nathan Davies 2019-03-25 14:28:43 +00:00
parent 2a5e6aebc0
commit 1e4236de42
2 changed files with 8 additions and 3 deletions
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3
.gitignore vendored
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@ -85,3 +85,6 @@ ENV/
# Spyder project settings
.spyderproject
# Editor files
*.idea

8
cirrus-extract.py
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@ -28,7 +28,7 @@ Extracts and cleans text from a Wikipedia Cirrus dump and stores output in a
number of files of similar size in a given directory.
Each file will contain several documents in the format:
<doc id="" url="" title="">
<doc id="" url="" title="" language="" revision="">
...
</doc>
@ -124,7 +124,7 @@ class Extractor(object):
logging.debug("%s\t%s", self.id, self.title)
text = ''.join(self.page)
url = get_url(self.id)
header = '<doc id="%s" url="%s" title="%s">\n' % (self.id, url, self.title)
header = '<doc id="%s" url="%s" title="%s" language="%s" revision="%s">\n' % (self.id, url, self.title, self.language, self.revision)
# Separate header from text with a newline.
header += self.title + '\n\n'
header = header.encode('utf-8')
@ -169,6 +169,8 @@ def process_dump(input_file, out_file, file_size, file_compress):
content = json.loads(input.readline())
type = index['index']['_type']
id = index['index']['_id']
language = content['language']
revision = content['version']
if type == 'page' and content['namespace'] == 0:
title = content['title']
text = content['text']
@ -176,7 +178,7 @@ def process_dump(input_file, out_file, file_size, file_compress):
# ^ The Penguin Dictionary
text = re.sub(r' \^ .*', '', text)
url = urlbase + 'wiki?curid=' + id
header = '<doc id="%s" url="%s" title="%s">\n' % (id, url, title)
header = '<doc id="%s" url="%s" title="%s" language="%s" revision="%s">\n' % (id, url, title, language, revision)
page = header + title + '\n\n' + text + '\n</doc>\n'
output.write(page.encode('utf-8'))