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omarkamaliย 
posted an update 3 days ago
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1431
New year, new dataset ๐Ÿš€

I just released omarkamali/wikipedia-labels, with all the structural labels and namespace from wikipedia in 300+ languages. A gift for the data preprocessors and cleaners among us.

Happy new year 2026 everyone! ๐ŸŽ†
omarkamaliย 
posted an update 9 days ago
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Picomon v0.2.0 released! ๐Ÿ’ซ

- Supports all of AMD, Nvidia and Apple Silicon ๐Ÿง‘โ€๐Ÿง‘โ€๐Ÿง’โ€๐Ÿง’
- Beautiful TUI with themes (who said monitoring should be boring?) ๐Ÿ’…
- Shareable Rig Cards! Boast to friends, family and foes alike ๐Ÿซจ

Get it now! uvx picomon or pip install picomon then picomon
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omarkamaliย 
posted an update 29 days ago
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Hello picomon! AMD GPU Monitoring made easy

Just run uvx picomon and behold:
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ GPU 0  GFX  42%  UMC  21%                โ”‚  โ”‚ GPU 1  GFX  78%  UMC  66%                โ”‚
โ”‚ PWR 135/250W (54%)  VRAM 10.0/16.0GB 62% โ”‚  โ”‚ PWR 210/250W (84%)  VRAM 14.5/16.0GB 90% โ”‚
โ”‚                                          โ”‚  โ”‚                                          โ”‚
โ”‚ GFX โ–โ–‚โ–‚โ–ƒโ–„โ–„โ–…โ–†โ–†โ–‡โ–ˆโ–‡โ–†โ–…โ–„โ–ƒโ–‚โ–                   โ”‚  โ”‚ GFX โ–‚โ–ƒโ–„โ–…โ–†โ–‡โ–ˆโ–ˆโ–‡โ–†โ–…โ–„โ–‚โ–‚โ–ƒโ–…โ–†                    โ”‚
โ”‚ PWR โ–โ–โ–‚โ–‚โ–ƒโ–„โ–„โ–…โ–†โ–‡โ–ˆโ–ˆโ–‡โ–†โ–…โ–„โ–‚โ–                   โ”‚  โ”‚ PWR โ–‚โ–‚โ–ƒโ–„โ–…โ–†โ–‡โ–ˆโ–ˆโ–‡โ–†โ–…โ–„โ–ƒโ–‚โ–‚โ–ƒ                    โ”‚
โ”‚ VRM โ–โ–โ–‚โ–‚โ–ƒโ–„โ–„โ–…โ–†โ–‡โ–ˆโ–ˆโ–ˆโ–‡โ–†โ–…โ–„โ–‚                   โ”‚  โ”‚ VRM โ–‚โ–ƒโ–„โ–…โ–†โ–†โ–‡โ–ˆโ–ˆโ–ˆโ–‡โ–†โ–…โ–„โ–ƒโ–‚โ–‚                    โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜


Repo at https://github.com/omarkamali/picomon
Or pypi at https://pypi.org/project/picomon
omarkamaliย 
posted an update about 1 month ago
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Exciting updates to the Wikipedia Monthly dataset for November! ๐Ÿš€

ใƒป Fixed a bug to remove infobox leftovers and other wiki markers such as __TOC__
ใƒป New python package https://pypi.org/project/wikisets: a dataset builder with efficient sampling so you can combine the languages you want seamlessly for any date (ideal for pretraining data but works for any purpose)
ใƒป Moved the pipeline to a large server. Much higher costs but with better reliability and predictability (let me know if you'd like to sponsor this!).
ใƒป Dataset sizes are unfortunately missing for this month due to shenanigans with the migration, but should be back in December's update.

Check out the dataset:
omarkamali/wikipedia-monthly
omarkamaliย 
posted an update 3 months ago
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Another month, another Wikipedia Monthly release! ๐ŸŽƒ

Highlights of October's edition:
ยท ๐Ÿ—ฃ๏ธ 341 languages
ยท ๐Ÿ“š 64.7M articles (+2.5%)
ยท ๐Ÿ“ฆ 89.4GB of data (+3.3%)

We are now sampling a random subset of each language with a reservoir sampling method to produce splits 1000, 5000, and 10000 in addition to the existing train split that contains all the data.

Now you can load the english (or your favorite language) subset in seconds:
dataset = load_dataset("omarkamali/wikipedia-monthly", "latest.en", split="10000")

Happy data engineering! ๐Ÿงฐ

omarkamali/wikipedia-monthly
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omarkamaliย 
posted an update 3 months ago
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**Wikipedia Monthly's September edition is now live ๐ŸŽ‰**

Highlights of this edition:
ยท ๐Ÿ—ฃ๏ธ 341 languages
ยท ๐Ÿ“š 63.1M articles
ยท ๐Ÿ“ฆ 86.5GB of data

This update also solves upload issues in the August edition where some languages had missing parts. Happy data engineering!

omarkamali/wikipedia-monthly
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