I want this too. Actually a deceptively simple thing that would be quite useful on Wikimedia Commons as well.

My query for this workshop: location of collections that have works by James Ensor (whose work will be public domain on January 1, 2020) https://w.wiki/CYu

I am happy

And thanks to the Minefield tool, I have successfully added structured data to the files in that category now! \o/

This task is done! The images are beautiful, and they are here: https://commons.wikimedia.org/wiki/Category:Seikei_Zusetsu

We're at the Wiki-Techstorm-2019 and @Husky is building a tool, aptly named Minefield, to convert filenames to M item numbers, see T238908: Minefield: A tool to convert Commons page title to media ID's. For now this can provide help in formatting the right commands for QuickStatements.

@Husky is building a tool, aptly named Minefield, to convert filenames to M item numbers, see T238908: Minefield: A tool to convert Commons page title to media ID's, which will provide a missing link to be able to feed the necessary edits into QuickStatements.

I tried to enter two versions of lists of files in the tool, but the purple Comic Sans just kept dancing in front of me...

Another option is using PetScan. Easy for end users would be to feed the tool a PetScan ID that outputs Commons files, example https://petscan.wmflabs.org/?psid=13840179

There are various ways to get lists of filenames, and each of them will probably produce different results.

The comment below is a good one to take into account in the context of technical scoping/prioritization in the WMSE-Tools-for-Partnerships-2019-Blueprinting project:

In order to be able to do this, we first need T222291: Add support for ISA in translatewiki.net (include ISA in TranslateWiki). There's more interest in translating the ISA interface to other languages as well.

Can my colleagues from the StructuredDataOnCommons team do anything to make it easier to include filename-to-Mid conversion in QuickStatements? It is actually a blocker to do proper Commons-related batch edits like for instance outlined in T238443: Add P180 (Depicts) and P6243 (Digital representation of) structured data to Commons files representing artworks by Jakob Smits and I'll be happy to help give things a push if needed.

Can perhaps anyone help with this in the context of the Wiki-Techstorm-2019 ? I know that we have some people here today and tomorrow, interested in translating the ISA interface in other languages.

In T208127#4728532, @Husky wrote:

• Some of the more interesting data points, like architect and building style are already available in the current Rijksmonumentenregister, usually more extensive. Little of that data hasn't been transferred to Wikidata yet,

In T238443#5668475, @LucasWerkmeister wrote:

My best idea so far is to make the SPARQL query concatenate all the image titles, separated by pipe characters –

SELECT (GROUP_CONCAT(wikibase:decodeUri(STRAFTER(STR(?image), "http://commons.wikimedia.org/wiki/Special:FilePath/")); separator = " | ") AS ?images) WHERE {
  ?item wdt:P170 wd:Q3157590.
  ?item wdt:P18 ?image.
}

– and then copy+paste the result into ACDC (it will split the list into individual files again).

Not correct to assign this to me, as I actually want to ask around at the Wiki-Techstorm-2019 whether someone else can solve this (it may require coding).

In T238443#5668132, @Salgo60 wrote:

Have you seen Magnus Manske sdc_tool.

• tweet
• User:Magnus_Manske/sdc_tool.js

• For what instances of Wikidata items does this work? Only for paintings, or also for other two-dimensional works (I'd be happiest if it were the latter, hehe)?
• What are the other conditions to trigger the upload? Creator has a death date before a certain date + the work has a creation date before a certain date?
• URL pointing to the image needs to point to the exact image location, not the webpage
• How frequently does the bot run, i.e. how long should people be expected to wait before the upload has happened?
• What should folks do when they notice the upload has not happened after ... days?
• Other conditions and points of attention to mention?

Ideally, I'd like to find a workflow for this that is achievable by a 'muggle' (someone who is not a coder/developer) like myself (i.e. it's probably very easy to achieve with Pywikibot but I'd like to do it with a tool).

Would be extra nice if this template uses structured data! See also T238415: Add structured data on Commons to newly uploaded files during the Tech Storm

@NavinoEvans would this be a good task for the Wiki-Techstorm-2019 hackathon?

In T232829#5657980, @Spinster wrote:

Actually, the Wikidata Art Depiction Explorer (WADE) does this. Yay!
👉 https://art.wikidata.link/ 👈

Actually, the Wikidata Art Depiction Explorer (WADE) does this. Yay!

My enthusiasm will even be larger if the result will be reasonably usable by people without coding skills 😀

I would just do this with one of the existing great data import tools for Wikidata! No need to write a script in my opinion? Unless learning to write such a script is a goal in itself...?

Blog at Wikimedia Nederland about my experiences (in Dutch): https://www.wikimedia.nl/blog-entry/wikimedia-hackathon-in-wenen

@Aklapper Thanks for your quick reply! It is a request to create a project in Phabricator I guess (I'm still trying to get familiar with the workflows and culture here).

WikiProject Documentation on Wikidata is live. Join! https://www.wikidata.org/wiki/Wikidata:WikiProject_Documentation

In T159514#3279121, @Spinster wrote:

The 5 current main personas used by the Wikidata team (under construction! may need refinement!) are

• an active editor on Wikidata
• an occasional Wikidata editor
• an active editor on a larger Wikipedia
• an active editor on a small Wikipedia
• a data (re-)user working for a small startup

The 5 current main personas used by the Wikidata team (under construction! may need refinement!) are

• an active editor on Wikidata
• an occasional Wikidata editor
• an active editor on a larger Wikipedia
• an active editor on a small Wikipedia
• a data (re-)user working for a small startup