programming-language
Puma-Programming-Language-Dataset
license: mit
Puma Programming Language Dataset
The Puma Programming Language Dataset is a curated collection of Puma programming examples designed for developers, learners, educators, researchers, and AI systems working with the Puma programming language.
The dataset contains practical Puma code examples covering language syntax, programming patterns, data structures, functions, iteration, backend development, HTTP services, APIs, WebSocket communication… See the full description on the dataset page: https://huggingface.co/datasets/dominexmacedon/Puma-Programming-Language-Dataset.paloma_programming_languagescodeagent-pythonCode-290k-labels-programming_languages-NO_Chatgpt
Para etiquetar los lenguajes de programación en un conjunto de datos extenso de fragmentos de código, se aplicaron técnicas automatizadas de procesamiento de texto y patrones específicos de cada lenguaje, sin recurrir al uso de modelos de lenguaje avanzados como ChatGPT o LLMs. Se inició con la extracción y preparación de datos usando pandas, una biblioteca de análisis de datos en Python, que facilitó la manipulación y el procesamiento del conjunto de datos obtenido de Hugging Face's… See the full description on the dataset page: https://huggingface.co/datasets/NickyNicky/Code-290k-labels-programming_languages-NO_Chatgpt.programming-languages-keywords
Dataset Card for "programming-languages-keywords"
Structured version of https://github.com/e3b0c442/keywords
Generated using:
r = requests.get("https://raw.githubusercontent.com/e3b0c442/keywords/main/README.md")
keywords = r.text.split("### ")[1:]
keywords = [i for i in keywords if not i.startswith("Sources")]
keywords = {i.split("\n")[0]:[j for j in re.findall("[a-zA-Z]*", i.split("\n",1)[1]) if j] for i in keywords}
keywords =… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/programming-languages-keywords.programming-languages-genealogyhttps://en.wikipedia.org/wiki/Generational_list_of_programming_languages
This is a "genealogy" of programming languages. Languages are categorized under the ancestor language with the strongest influence. Those ancestor languages are listed in alphabetic order. Any such categorization has a large arbitrary element, since programming languages often incorporate major ideas from multiple sources.