---
license: bsd-2-clause
task_categories:
- text-generation
language:
- en
tags:
- common-lisp
- macros
- code-generation
- program-transformation
- metaprogramming
pretty_name: Common Lisp Macro Transformations
size_categories:
- 1K<n<10K
---

# Common Lisp Macro Transformations

A fine-tuning dataset for training models to generate Common Lisp macros.
Each example is a call-form, macro-definition, and expanded-form triple.

## Summary

- **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, Trivia, Parenscript, CFFI, CL-PPCRE, and 110+ more from Quicklisp and awesome-cl

## Task

Train a model (<=32B parameters) to generate Common Lisp macro definitions.
Given a code pattern or macro call, the model produces the defmacro form that performs the transformation.

This is fundamentally different from code generation -- macros are code that writes code.

## Usage

```python
from datasets import load_dataset
ds = load_dataset("j14i/cl-macros", split="train")
```

## Generation Pipeline

Macros are discovered via SBCL + Quicklisp: do-external-symbols finds all exported macros,
synthetic call forms are generated, macroexpand-1 verifies expansions, and a Python
classifier auto-labels technique, category, and complexity.