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kwnlpsqlparser 0.0.2
Kensho Wikimedia for Natural Language Processing - SQL Dump Parser
kwnlp_sql_parser is a Python package for parsing Wikipedia SQL dumps into CSVs.
Quick Install (Requires Python >= 3.6)
pip install kwnlp-sql-parser
Examples
Basic Usage
To convert a Wikipedia MySQL/MariaDB dump into a CSV file, use the to_csv method of the WikipediaSqlDump class. By default, the CSV file is created in the current directory and includes all of the columns and rows in the SQL dump file.
import pandas as pd
from kwnlp_sql_parser import WikipediaSqlDump
file_path = "/path/to/data/enwiki-20200920-page.sql.gz"
wsd = WikipediaSqlDump(file_path)
wsd.to_csv()
df = pd.read_csv("enwiki-20200920-page.csv", keep_default_na=False, na_values=[""])
print(df.head())
page_id page_namespace page_title page_restrictions page_is_redirect page_is_new page_random page_touched page_links_updated page_latest page_len page_content_model page_lang
0 10 0 AccessibleComputing NaN 1 0 0.331671 20200903074851 2.020090e+13 854851586 94 wikitext NaN
1 12 0 Anarchism NaN 0 0 0.786172 20200920023613 2.020092e+13 979267494 88697 wikitext NaN
2 13 0 AfghanistanHistory NaN 1 0 0.062150 20200909184138 2.020091e+13 783865149 90 wikitext NaN
3 14 0 AfghanistanGeography NaN 1 0 0.952234 20200915100945 2.020091e+13 783865160 92 wikitext NaN
4 15 0 AfghanistanPeople NaN 1 0 0.574721 20200917080644 2.020091e+13 783865293 95 wikitext NaN
See the "Common Issues" section below for an explanation of the pandas read_csv kwargs.
Filtering Rows and Columns
In some situations, it is convenient to filter the Wikipedia SQL dumps before writing to CSV. For example, one might only be interested in the columns page_id and page_title for Wikipedia pages that are in the (Main/Article) namespace.
import pandas as pd
from kwnlp_sql_parser import WikipediaSqlDump
file_path = "/path/to/data/enwiki-20200920-page.sql.gz"
wsd = WikipediaSqlDump(
file_path,
keep_column_names=["page_id", "page_title"],
allowlists={"page_namespace": ["0"]})
wsd.to_csv()
df = pd.read_csv("enwiki-20200920-page.csv", keep_default_na=False, na_values=[""])
print(df.head())
page_id page_title
0 10 AccessibleComputing
1 12 Anarchism
2 13 AfghanistanHistory
3 14 AfghanistanGeography
4 15 AfghanistanPeople
Note that you can also specify blocklists instead of allowlists if it is more convenient for your use case.
Common Issues
Not using string values in filters
All values in the allowlists and blocklists should be strings.
Pages with names treated as Null
Be carefull when reading the CSVs in your chosen software. Some packages will treat the following page titles as null values instead of strings,
https://en.wikipedia.org/wiki/NaN
https://en.wikipedia.org/wiki/Null
https://en.wikipedia.org/wiki/Na
In pandas this can be handled by reading in the CSV using,
df = pd.read_csv("enwiki-20200920-page.csv", keep_default_na=False, na_values=[""])
Supported Tables
https://www.mediawiki.org/wiki/Manual:Category_table
https://www.mediawiki.org/wiki/Manual:Categorylinks_table
https://www.mediawiki.org/wiki/Manual:Page_table
https://www.mediawiki.org/wiki/Manual:Page_props_table
https://www.mediawiki.org/wiki/Manual:Pagelinks_table
https://www.mediawiki.org/wiki/Manual:Redirect_table
License
Licensed under the Apache 2.0 License. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Copyright 2020-present Kensho Technologies, LLC. The present date is determined by the timestamp of the most recent commit in the repository.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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