WikiExtractor.py is a Python script that extracts and cleans text from a Wikipedia database dump.
The tool is written in Python and requires Python 3 but no additional library.
Warning: problems have been reported on Windows due to poor support for StringIO in the Python implementation on Windows.
For further information, see the project Home Page or the Wiki.
cirrus-extractor.py is a version of the script that performs extraction from a Wikipedia Cirrus dump.
Cirrus dumps contain text with already expanded templates.
Cirrus dumps are available at: cirrussearch.
WikiExtractor performs template expansion by preprocessing the whole dump and extracting template definitions.
In order to speed up processing:
- multiprocessing is used for dealing with articles in parallel
- a cache is kept of parsed templates (only useful for repeated extractions).
The script may be invoked directly:
python -m wikiextractor.WikiExtractor
however it can also be installed from PyPi by doing:
pip install wikiextractor
or locally with:
(sudo) python setup.py install
The script is invoked with a Wikipedia dump file as an argument:
python -m wikiextractor.WikiExtractor <Wikipedia dump file>
The output is stored in several files of similar size in a given directory. Each file will contains several documents in this document format.
usage: WikiExtractor.py [-h] [-o OUTPUT] [-b n[KMG]] [-c] [--json] [--html]
[-l] [-s] [--lists] [-ns ns1,ns2]
[--templates TEMPLATES] [--no-templates] [-r]
[--min_text_length MIN_TEXT_LENGTH]
[--filter_category path_of_categories_file]
[--filter_disambig_pages] [-it abbr,b,big]
[-de gallery,timeline,noinclude] [--keep_tables]
[--processes PROCESSES] [-q] [--debug] [-a] [-v]
[--log_file]
input
Wikipedia Extractor:
Extracts and cleans text from a Wikipedia database 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="" revid="" url="" title="">
...
</doc>
If the program is invoked with the --json flag, then each file will
contain several documents formatted as json ojects, one per line, with
the following structure
{"id": "", "revid": "", "url":"", "title": "", "text": "..."}
Template expansion requires preprocessing first the whole dump and
collecting template definitions.
positional arguments:
input XML wiki dump file
optional arguments:
-h, --help show this help message and exit
--processes PROCESSES
Number of processes to use (default 1)
Output:
-o OUTPUT, --output OUTPUT
directory for extracted files (or '-' for dumping to
stdout)
-b n[KMG], --bytes n[KMG]
maximum bytes per output file (default 1M)
-c, --compress compress output files using bzip
--json write output in json format instead of the default one
Processing:
--html produce HTML output, subsumes --links
-l, --links preserve links
-s, --sections preserve sections
--lists preserve lists
-ns ns1,ns2, --namespaces ns1,ns2
accepted namespaces in links
--templates TEMPLATES
use or create file containing templates
--no-templates Do not expand templates
-r, --revision Include the document revision id (default=False)
--min_text_length MIN_TEXT_LENGTH
Minimum expanded text length required to write
document (default=0)
--filter_category path_of_categories_file
Include or exclude specific categories from the dataset. Specify the categories in
file 'path_of_categories_file'. Format:
One category one line, and if the line starts with:
1) #: Comments, ignored;
2) ^: the categories will be in excluding-categories
3) others: the categories will be in including-categories.
Priority:
1) If excluding-categories is not empty, and any category of a page exists in excluding-categories, the page will be excluded; else
2) If including-categories is not empty, and no category of a page exists in including-categories, the page will be excluded; else
3) the page will be included
--filter_disambig_pages
Remove pages from output that contain disabmiguation
markup (default=False)
-it abbr,b,big, --ignored_tags abbr,b,big
comma separated list of tags that will be dropped,
keeping their content
-de gallery,timeline,noinclude, --discard_elements gallery,timeline,noinclude
comma separated list of elements that will be removed
from the article text
--keep_tables Preserve tables in the output article text
(default=False)
Special:
-q, --quiet suppress reporting progress info
--debug print debug info
-a, --article analyze a file containing a single article (debug
option)
-v, --version print program version
--log_file specify a file to save the log information.
Saving templates to a file will speed up performing extraction the next time, assuming template definitions have not changed.
Option --no-templates significantly speeds up the extractor, avoiding the cost of expanding MediaWiki templates.
For further information, visit the documentation.
usage: cirrus-extract.py [-h] [-o OUTPUT] [-b n[KMG]] [-c] [-ns ns1,ns2] [-q]
[-v]
input
Wikipedia Cirrus Extractor:
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="" language="" revision="">
...
</doc>
positional arguments:
input Cirrus Json wiki dump file
optional arguments:
-h, --help show this help message and exit
Output:
-o OUTPUT, --output OUTPUT
directory for extracted files (or '-' for dumping to
stdin)
-b n[KMG], --bytes n[KMG]
maximum bytes per output file (default 1M)
-c, --compress compress output files using bzip
Processing:
-ns ns1,ns2, --namespaces ns1,ns2
accepted namespaces
Special:
-q, --quiet suppress reporting progress info
-v, --version print program version
The code is made available under the GNU Affero General Public License v3.0.
If you find this code useful, please refer it in publications as:
@misc{Wikiextractor2015,
author = {Giusepppe Attardi},
title = {WikiExtractor},
year = {2015},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/attardi/wikiextractor}}
}