datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
code-search-net-ruby
Dataset Card for "code-search-net-ruby"
Dataset Summary
This dataset is the Ruby portion of the CodeSarchNet annotated with a summary column.The code-search-net dataset includes open source functions that include comments found at GitHub.The summary is a short description of what the function does.
Languages
The dataset's comments are in English and the functions are coded in Ruby
Data Splits
Train, test, validation labels are included in the… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/code-search-net-ruby.the-stack-ruby-clean
Dataset 1: TheStack - Ruby - Cleaned
Description: This dataset is drawn from TheStack Corpus, an open-source code dataset with over 3TB of GitHub data covering 48 programming languages. We selected a small portion of this dataset to optimize smaller language models for Ruby, a popular statically typed language.
Target Language: Ruby
Dataset Size:
Training: 900,000 files
Validation: 50,000 files
Test: 50,000 files
Preprocessing:
Selected Ruby as the target language due to its… See the full description on the dataset page: https://huggingface.co/datasets/ammarnasr/the-stack-ruby-clean.ruby-code-instructions-80k
Ruby Code Instructions - 80K
Instruction-tuning dataset of Ruby functions or methods paired with short natural-language instructions derived from repository docstrings or inline comments.
What changed in this release
This release keeps the original public rows and format, but makes the dataset easier to use responsibly:
exact duplicate rows were removed again using normalized instruction + output hashing
deterministic train, validation, and test splits were added
the… See the full description on the dataset page: https://huggingface.co/datasets/NickIBrody/ruby-code-instructions-80k.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.instructional_code-search-net-ruby
Dataset Card for "instructional_code-search-net-ruby"
Dataset Summary
This is an instructional dataset for Ruby.
The dataset contains two different kind of tasks:
Given a piece of code generate a description of what it does.
Given a description generate a piece of code that fulfils the description.
Languages
The dataset is in English.
Data Splits
There are no splits.
Dataset Creation
May of 2023
Curation Rationale
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/instructional_code-search-net-ruby.RubyCraft-3.4-Eval-Logs
🚀 RubyCraft-3.4 Evaluation Logs
This dataset contains the comprehensive evaluation logs, including raw and processed outputs, for our research on the adaptation of Small Language Model (SLM) architectures to Ruby 3.4 syntax. It covers more than 26,000 evaluation rows generated across 96 LoRA configurations, 4 base models, and multiple teacher models.
⚡ Quick Performance Summary (The DSP Impact)
Our Diagnostic Sanitization Procedure (DSP) revealed massive hidden… See the full description on the dataset page: https://huggingface.co/datasets/mehmetdavut/RubyCraft-3.4-Eval-Logs.ruby-code-examplesThis is a dataset for AI training. The data consists of Ruby functions generated with synthetic data, including the name, description, code, usage, and output.
Over 5,000 functions have been synthetically created.
Each of the 5,000 functions has been executed and is valid.