jedisct1/fastly-agent-toolkit-evals
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Frank Denis PRO
jedisct1
AI & ML interests
Cryptography.
Recent Activity
updated a dataset 4 days ago
jedisct1/fastly-agent-toolkit-evals published a dataset 4 days ago
jedisct1/fastly-agent-toolkit-evals reacted to ajibawa-2023's post with 👍 5 days ago
C-Code-Large
Dataset: https://huggingface.co/datasets/ajibawa-2023/C-Code-Large
C-Code-Large is a large-scale corpus of C programming language source code comprising more than 4 million code samples stored in .jsonl format. The dataset is designed to support research and development in large language model (LLM) pretraining, static analysis, and software engineering automation for the C ecosystem.
By offering a high-volume, language-focused dataset, C-Code-Large enables targeted experimentation in low-level programming, memory-constrained environments, and performance-critical systems, where C continues to be a dominant language.
C-Code-Large addresses the lack of large, curated, C-specific datasets, making it possible to conduct focused research on procedural programming paradigms, manual memory management, and system-level abstractions.
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C-Code-Large
Dataset: ajibawa-2023/C-Code-Large
C-Code-Large is a large-scale corpus of C programming language source code comprising more than 4 million code samples stored in .jsonl format. The dataset is designed to support research and development in large language model (LLM) pretraining, static analysis, and software engineering automation for the C ecosystem.
By offering a high-volume, language-focused dataset, C-Code-Large enables targeted experimentation in low-level programming, memory-constrained environments, and performance-critical systems, where C continues to be a dominant language.
C-Code-Large addresses the lack of large, curated, C-specific datasets, making it possible to conduct focused research on procedural programming paradigms, manual memory management, and system-level abstractions.
Dataset: ajibawa-2023/C-Code-Large
C-Code-Large is a large-scale corpus of C programming language source code comprising more than 4 million code samples stored in .jsonl format. The dataset is designed to support research and development in large language model (LLM) pretraining, static analysis, and software engineering automation for the C ecosystem.
By offering a high-volume, language-focused dataset, C-Code-Large enables targeted experimentation in low-level programming, memory-constrained environments, and performance-critical systems, where C continues to be a dominant language.
C-Code-Large addresses the lack of large, curated, C-specific datasets, making it possible to conduct focused research on procedural programming paradigms, manual memory management, and system-level abstractions.
Bogus template?
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Introducing the github-top-code dataset: A curated dataset of 1.3M+ source code files from GitHub's top ranked developers.
I collected the best source code files from Github's highest trending developers of all time, and compiled a dataset to train LLMs to write well-structured, production-grade code.
#dataset #codedataset #pretraining
ronantakizawa/github-top-code
I collected the best source code files from Github's highest trending developers of all time, and compiled a dataset to train LLMs to write well-structured, production-grade code.
#dataset #codedataset #pretraining
ronantakizawa/github-top-code
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