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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01dominexmacedon /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.text1K<n<10K0 likes193 downloads26d agoHugging Face02WillHeld /paloma_programming_languagestext10K<n<100K0 likes120 downloads1y agoHugging Face03Programming-Language /codeagent-pythontext100K<n<1M11 likes115 downloads3y agoHugging Face04NickyNicky /Code-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.text100K<n<1M5 likes66 downloads3y agoHugging Face05bigcode /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.textn<1K7 likes33 downloads4y agoHugging Face06christopher /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. textn<1K0 likes20 downloads1y agoHugging Face07mingbao2020 /opl_programming_languagetextn<1K0 likes16 downloads3y agoHugging Face08tcotter /mojo-programming-language-qnaA synthetic dataset from Claude Sonnet 3.5. The source documents are real pulled from the Mojo documentation, but everything else is synthetic. textquestion-answering1K<n<10K0 likes12 downloads2y agoHugging Face09BurakkTalha /turkish-programming-languagestext1K<n<10K0 likes8 downloads1y agoHugging Face10masternodedata1 /programminglanguages.info.language.assembly-language0 likes8 downloads2mo agoHugging Face11BurakkTalha /programming-languages-and-frameworks-alpacatext100K<n<1M1 likes7 downloads1y agoHugging Face12TracyMuzembi /programming_languages_and_frameworks0 likes6 downloads2y agoHugging Face13jomarie04 /programming-languages-overviewtabularn<1K0 likes4 downloads8mo agoHugging Face

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