File:Abstract Wikipedia Data Science with Outreachy.mp3

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Abstract_Wikipedia_Data_Science_with_Outreachy.mp3 ‎(MP3 audio file, length 41 min 4 s, 192 kbps overall, file size: 56.4 MB)

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Summary

Description
English: Aisha Katun and Liudmila Kalina (Jade) constructed a complex data pipeline using Wikimedia Cloud Services, culminating in a web-based tool to find user generated code (MediaWiki Scribunto modules written in Lua) that looks highly used and similar across different language editions of Wikipedia and its sibling projects (at the time of this recording, code is not presently centralized for the projects). Further data analysis, tooling, and the demo web application are discussed at https://meta.wikimedia.org/wiki/Abstract_Wikipedia/Data#Get_important_modules_and_find_modules_similar_to_each_other .

Aisha and Jade did this work as part of the Outreachy internship program ( https://www.outreachy.org/ ), the goal of which is to increase diversity in open source. Mentorship was provided by the Wikimedia Foundation, the nonprofit that supports Wikipedia and its sister projects.

Aisha and Jade's techniques and work fit into the Wikifunctions collaborative programming function authoring platform and Abstract Wikipedia natural language generation initiative. Wikifunctions and Abstract Wikipedia are described in this Communications of the ACM paper:

https://cacm.acm.org/magazines/2021/4/251343-building-a-multilingual-wikipedia/fulltext
Date
Source Own work
Author ABaso (WMF)

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Captions

Outreachy interns Aisha Khatun and Liudmila Kalina (Jade) discuss analysis of Wikimedia project Scribunto module similarity analysis

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inception

2 March 2021

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audio/mpeg

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a4e13a5292033b81cd4d88351987878dfe454c30

determination method: SHA-1

data size

59,142,092 byte

duration

2,464.164 second

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Date/TimeThumbnailDimensionsUserComment
current11:22, 25 March 202141 min 4 s (56.4 MB)ABaso (WMF)Uploaded own work with UploadWizard

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