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WikiExtractor

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 Wiki.

Wikipedia Cirrus Extractor

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.

Details

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).

Installation

The script may be invoked directly:

python -m wikiextractor.WikiExtractor <Wikipedia dump file>

It can also be installed from PyPi by doing:

pip install wikiextractor

or locally with:

(sudo) python setup.py install

The installer also installs two scripts for direct invocation:

wikiextractor  	(equivalent to python -m wikiextractor.WikiExtractor)
extractPage		(to extract a single page from a dump)

Usage

Wikiextractor

The script is invoked with a Wikipedia dump file as an argument:

python -m wikiextractor.WikiExtractor <Wikipedia dump file> [--templates <extracted template file>]

The option --templates extracts the templates to a local file, which can be reloaded to reduce the time to perform extraction.

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.

Cirrus Extractor

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

extractPage

Extract a single page from a Wikipedia dump file.

usage: extractPage [-h] [--id ID] [--template] [-v] input

Wikipedia Page Extractor:
Extracts a single page from a Wikipedia dump file.

positional arguments:
  input          XML wiki dump file

optional arguments:
  -h, --help     show this help message and exit
  --id ID        article number
  --template     template number
  -v, --version  print program version

License

The code is made available under the GNU Affero General Public License v3.0.

Reference

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}}
}

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A tool for extracting plain text from Wikipedia dumps

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