code-quality
High-Quality-Code
High-Quality-Code: Synthetic + Real (MAXIMUM CODE)
A massive, high-quality code dataset built with maximum code philosophy – as much code as possible.
Components
Synthetic syntax-correction dataset – 5M+ examples across 33 languages (original code_syntax_dataset_1GB.csv)
Real high-quality code from GitHub – 500 top-starred repositories – BOTH zips and extracted source
Current Status: IN PROGRESS
Target: 500 repos
Currently uploaded: 12 extracted… See the full description on the dataset page: https://huggingface.co/datasets/Corpus-NZ/High-Quality-Code.Code-Generation-Quality-Estimation
Code Generation Quality Estimation
This repository contains model-ready task context, generated code, and complete-case execution-resource targets for five public LLM code-generation cohorts. It provides deterministic 70/10/20 group-aware split versions using seeds 42, 1234, and 2026.
Configurations
There are 15 configurations: one for each dataset and split seed. Each configuration has train, validation, and test splits.
Dataset
Complete rows
Groups
Models… See the full description on the dataset page: https://huggingface.co/datasets/Samsoup/Code-Generation-Quality-Estimation.multilang-code-quality-reviewsmultilang-code-quality-100kbig-multilang-code-quality-reviewscode-quality-corpus
CatQualia code-quality corpus — semantic smell classes with before/after fixes
39,383 rows · 25,541,792 bytes · JSON Lines, one object per line.
What this is
Real code smells paired with the fix: a smell_class that names the semantic problem (not just the syntax), the original lines, the corrected lines, the file and line it came from, and a rationale explaining why the original was wrong. Useful for code-review or repair training where the label has to say what… See the full description on the dataset page: https://huggingface.co/datasets/CatQualia/code-quality-corpus.