Task to track progress for {T356498}
**Profile**
**Name:** Mahima Singhal
**Email**: [[ agarwalmahima01@gmail.com | agarwalmahima01@gmail.com ]]
**Github**: [[ https://github.com/mahi01agarwal | mahi01agarwal ]]
**LinkedIn**:[[ https://www.linkedin.com/in/agarwalmahima01/ | agarwalmahima01 ]]
**Location:** New Delhi, India.
**Time Zone**: UTC+5:30
**Typical Working Hours:** 9 AM to 2 AM (UTC+05:30)
**Synopsis**
Using this [[ https://meta.wikimedia.org/wiki/Machine_learning_models/Proposed/Language-agnostic_Wikipedia_article_quality | model to predict the quality of Wikipedia articles ]], the WMF's Research team built a [[ https://zenodo.org/records/10495081 | dataset ]] with feature values and predicted quality scores for all revisions of all articles in more than 300 language editions of Wikipedia. Thus, this dataset provides key information on the expansion and quality of Wikipedia articles over time. In this project we will build on this novel data asset to develop a visualization tool that will allow anyone to explore the evolution of quality in articles maintained by WikiProjects.
Specifically, the work will the following phases:
- Becoming familiar with the dataset, i.e. how to pre-process the data, what is the data structure, what other features could be added (e.g. pageviews), etc.
- Selection of specific Wikiprojects of interest
- Analysis and visualization of language-agnostic features of revisions of articles from Wikiprojects (over time)
- Build an interactive web interface for users to explore the data visualizations
**Mentors**
[[ https://phabricator.wikimedia.org/p/Pablo/ | Pablo Aragón ]]
[[ https://phabricator.wikimedia.org/p/CMyrick-WMF/ | Caroline Myrick ]]
[[ https://phabricator.wikimedia.org/p/Isaac/ | Isaac Johnson ]]
=Timeline=
| **Period** | **Task** |
|------------ |-----------|
|May 27 to June 02|TBD |
|Jun 03 to June 09|TBD |
|Jun 10 to June 16|TBD |
|Jun 17 to June 23|TBD |
|Jun 24 to June 31|TBD |
|Jul 01 to July 07|TBD |
|Jul 08 to July 14|TBD |
|Jul 15 to July 21|TBD |
|Jul 22 to July 28|TBD |
|Jul 29 to Aug 04|TBD |
|Aug 05 to Aug 11|TBD |
|Aug 12 to Aug 18|TBD |
|Aug 19 to Aug 23|TBD |
=Deliverables=
TBD
=About the mentee=
TBA
**Issues**
none