User:Syced

Babel user information
fr-N Cet utilisateur a pour langue maternelle le français. en-5 This user has professional knowledge of English. ja-5 この利用者は専門的な日本語の知識を有しています。 de-3 Dieser Benutzer beherrscht Deutsch auf hohem Niveau. nl-1 Deze gebruiker heeft elementaire kennis van het Nederlands. es-1 Esta persona tiene un conocimiento básico del español. it-1 Quest'utente può contribuire con un livello elementare in italiano. zh-1 这位用户的中文达到初级水平。 ru-0 Этот участник не владеет русским языком (или понимает его с трудом). fa-0 این کاربر فارسی را نمی‌فهمد (یا به‌سختی می‌فهمد).
Users by language

Please let me know If I am doing anything wrong!

TODO

• Harvest dissolutions of Japanese former territorial entities such as 泥江町
• Add embassies from https://ja.wikipedia.org/wiki/駐日外国公館の一覧
• Move Wikidata:Infobox_mappings data to https://tools.wmflabs.org/pltools/harvesttemplates/share.php
• Extract transliteration from Japanese Wikipedia articles, even those without an infobox. Example: 犀川駅（さいがわえき）は、 → name in kana (P1814) さいがわえき　Revised Hepburn romanization (P2125) saigawaeki
• Add instance of (P31) to items around you.
• Add icon (P2910) to most core items
• Tables to write SPARQL queries for: organic compounds
• Wikidata:WikiProject_sum_of_all_paintings/Possible_paintings
• Select an image for items that have a Commons category

Memo

Embedded Wikidata query

Harvesting infoboxes to add P31 (instance of)

Let's say all articles on the Polish Wikipedia with template "Meteoryt infobox" are about a meteorite. Many of them do not have any P31. Let's fix that:

1. Open https://tools.wmflabs.org/pltools/harvesttemplates/ and set Property=P31, Template=Meteoryt infobox, Parameter=0
2. Press on "demo". Do NOT press on "add values"!
3. Wait for the demo to finish
4. Press "TSV" to download the data in Gnumeric
5. Keep only the second column "qid"
6. Add a second column with header "P31" and "Q9252191" on all rows
7. Copy the data into Geany, replace all tabs with a comma
8. Open https://tools.wmflabs.org/quickstatements and import as CSV
9. Run