[00:54:01] |nick Rodejong/zzzzzz [11:39:00] https://tools.wmflabs.org/wmcounter/ [11:39:39] Close to the 3000 million edits :) [11:40:24] wow [11:40:44] What's the tempo, a bit more than 10edits/s? [11:41:17] https://tools.wmflabs.org/wmcounter/wmcounter.data.js [11:41:26] var editinit = 2999725080.0; [11:41:26] var timeinit = 1484653210000; [11:41:26] var editrate = 0.0143092105263; //edits per milisecond [11:41:59] So right, Ainali! [11:45:52] So it would go to 3 billion in just over 5 hours then [11:48:48] It seems so, or perhaps less because America hasn't woken up yet [12:31:49] Do they ever go to sleep then? [12:32:21] Isn't that the 24/7 society? [12:32:23] :D [12:45:04] Hello, I wonder. I've created a couple of new items, instances of data type ( https://query.wikidata.org/#%23%20Data%20Types%0ASELECT%20%3Fitem%20%3FitemLabel%0AWHERE%0A%7B%0A%09%3Fitem%20wdt%3AP31%20wd%3AQ190087%20.%0A%09SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20%7D%0A%7D ), and the other day I saw they disappeared. Do the commonly used data types, such as [12:45:10] int16, int32, int64 should not be items on WikiData? [13:02:12] Inyuki: seems like they didn't have a clear notability. [13:30:35] Inyuki, sjoerddebruin: I see floats... [13:30:36] https://www.wikidata.org/wiki/Q5249163 [13:30:42] https://www.wikidata.org/wiki/Q5249165 [13:30:48] https://www.wikidata.org/wiki/Q5249164 [13:31:00] But they have their corresponding Wikipedia articles [13:31:04] Those have more statements though and yeah that [14:11:42] leszek_wmde: guten tag. I am deploying your CI Changes :] [14:13:26] hashar: Bonjour. Thanks a lot! And sorry for extra work with editing commit messages [14:15:26] leszek_wmde: editing only takes a few seconds so not a big deal :] [14:18:42] leszek_wmde: code sniffer is not happy :] [14:18:50] hashar: that's good [14:19:05] we have patches that fix cs failures prepared [14:19:08] you should be able to reproduce locally with: composer update && composer test [14:19:10] neat [14:19:42] though no that job / CI will fails on every changes [14:19:48] so you will probably want to force merge one [14:20:49] hashar: oh, right. We'll figure out how to do this in a second. If we end up force merging something, let it be like this [14:21:04] leszek_wmde: in short: remove jenkins-bot from reviewer [14:21:07] vote verified +2 [14:21:10] and press submit button [14:21:23] hashar: thanks! [14:21:28] or you craft a single patch that does the composer.json s+ PHPCS rule set + the style fixes [14:21:46] or just force merge the one that add the basic composer.json :] [15:19:03] would anyone here know if there is an interesting corpus of image URLs in Wikidata (e.g. Commons links) where the image has a small number of interesting categories? [15:19:59] I was trying to think of something along the lines of the machine learning "dog or cat?" dataset that could be generated via query.wikidata.org. I tried gravestone gender but that only revealed that gravestones are mostly for several people :) [15:21:55] cf https://twitter.com/danbri/status/821366905936166912 [15:32:16] danbri: What kind of machine learning do you want to do exactly? [15:35:57] it's more to find a nice demonstrator for how graph-shaped data (wikidata, schema.org) plays in that world. But specifically http://course.fast.ai/start.html uses the Kaggle dogs vs cats dataset https://www.kaggle.com/c/dogs-vs-cats — based on a (large) set of classified images of dogs vs cats. I wondered whether Wikidata has matured to the extent people from that world should be paying more attention and using it for tutori [16:16:43] multichill - see also http://wiki.fast.ai/index.php/Image_Datasets [20:19:53] !admin please block a troll User:משה אזולאי this is the troll User:יעל יץ Tnx [20:20:25] This is User:יעל י