Pencil Code is a collaborative programming site for drawing art, playing music, and creating games. It is also a place to experiment with mathematical functions, geometry, graphing, webpages, simulations, and algorithms. Programs are open for all to see and copy.
Watch a video overview or watch a video tutorial.
The main language is Coffeescript. Professional software engineers use Coffeescript to build complex websites, but Coffeescript code can also be very simple.
Pencil Code can also be used to explore and learn Javascript, HTML, and CSS: when you are ready, just find the "gear" button to adjust languages.
Programs preload the pencilcode library to use turtle graphics functions. Pencil Code is all open source. Hang out on the Pencil Code discussion forum or check out the quick reference or the online guide to find out more. There is also an illustrated Pencil Code book with more than 100 small projects.
Anybody can save programs and web pages, but read the Terms of Service and the Privacy Policy first. Two rules:
Be Nice. Do not mess up other peoples' work. Do not post content that detracts from education on the site. This a learning space that is not locked down (for example, passwords are optional). So feel free to explore, create, and link, but also please be considerate.
Be Careful. Do not depend on Pencil Code to keep your data safe. Data posted here is public, and data is not secured from loss. Do not post private or personally identifiable information. Passwords on Pencil Code do not prevent malicious interference.
The Pencil Code Foundation is devoted to advancing computer science education by making programming as simple and as universal as using a pencil. Contribute to the development of Pencil Code at dev.pencilcode.net or github. — .
The phrase "wals roberta sets 136zip full" appears to be a specific identifier for a dataset or file package used in Natural Language Processing (NLP), likely combining linguistic typology data with modern transformer models.
Wals Roberta: This likely refers to the subject or the creator of the media collection. In digital archiving, "sets" are often named after the specific model, photographer, or project title to keep databases organized.
If you found this file on a forum, treat it as suspicious. Report the link to the platform moderators. For legitimate NLP research, the resources above provide everything you need without risking your system or data. wals roberta sets 136zip full
To help you genuinely access relevant content, here is a safe, factual, and useful article about legitimate ways to obtain RoBERTa models and related NLP resources, while warning against potentially harmful or fake downloads.
Roberta (Robustly optimized BERT approach) is a pretrained language model developed by Facebook AI. It is not inherently a linguistic typology tool, but it can be fine-tuned on structured language data. The combination "WALS + Roberta" suggests a project where Roberta is trained or evaluated on typological features — perhaps to predict language properties from text, or to align WALS categories with neural representations. Including "Roberta" in a search for WALS data implies the user wants the dataset in a machine-learning-ready form, possibly already tokenized or split for Roberta’s input format. The phrase "wals roberta sets 136zip full" appears
This is the most common method for utilizing these sets.
, suggests that RoBERTa models begin to acquire human-like linguistic biases after being trained on over 1 billion words. Multilingual Use: Variants like XLM-RoBERTa If you found this file on a forum, treat it as suspicious
Linguistic Typology in Neural Architectures: An Analysis of WALS-RoBERTa Integration Abstract
A transformer-based model developed by Meta (formerly Facebook) that improves upon Google's BERT by training on more data for longer periods. Linguistic Bias: Research, such as this ACL Anthology paper