datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Ruby-Code-Large
Ruby-Code-Large
Ruby-Code-Large is a large-scale corpus of Ruby programming language source code comprising 331,743 code samples stored in .jsonl format. The dataset is designed to support research and development in large language model (LLM) pretraining, static analysis, web application development, and software engineering automation within the Ruby ecosystem.
By offering a substantial, language-focused dataset, Ruby-Code-Large enables targeted experimentation in dynamic… See the full description on the dataset page: https://huggingface.co/datasets/ajibawa-2023/Ruby-Code-Large.RubyCraft-3.4-Instruct
RubyCraft-3.4-Instruct
RubyCraft-3.4-Instruct is a synthetically generated and rigorously filtered dataset designed to rapidly adapt Small Language Models (SLMs) to the latest programming language specifications, specifically Ruby 3.4.
This dataset demonstrates how high-performance code specialist models can be created at a negligible cost (approximately €4.20), effectively eliminating dependency on expensive, monolithic LLM APIs.
📊 Dataset Summary
The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/mehmetdavut/RubyCraft-3.4-Instruct.