A fine-tuning dataset for training models to generate Common Lisp macros.
Each example is a call-form, macro-definition, and expanded-form triple.
4,267 examples from 120+ Common Lisp libraries
Split: 2,985 train / 637 validation / 645 test
Format: JSONL with instruction, input, output, category, technique, complexity, quality_score
Mean quality score: 0.80
Sources: Let Over Lambda, On Lisp, Alexandria, Serapeum, Iterate… See the full description on the dataset page:
https://huggingface.co/datasets/j14i/cl-macros.
