README.md

---
license: apache-2.0
task_categories:
  - text-generation
language:
  - en
tags:
  - code
  - python
  - doctest
  - transpilation
  - rust
size_categories:
  - n<1K
---

# Python Doctest Corpus

A curated corpus of Python doctest examples designed for training Python-to-Rust transpilers and testing code translation systems.

## Dataset Description

This dataset contains Python function signatures, doctest inputs, and expected outputs that serve as high-quality training data for:

- **Transpilation training**: Teaching models to translate Python patterns to Rust
- **Test validation**: Verifying that transpiled code produces correct outputs
- **Code understanding**: Benchmarking code comprehension systems

## Schema

| Column | Type | Description |
|--------|------|-------------|
| `source` | string | Source project identifier |
| `version` | string | Git commit SHA or version |
| `module` | string | Module path (e.g., `example_math.math_tool`) |
| `function` | string | Function name being tested |
| `input` | string | Python doctest input (e.g., `>>> square(5)`) |
| `expected` | string | Expected output value |
| `signature` | string | Full Python function signature with type hints |

## Quality Score

Quality score validated using `alimentar quality score --profile doctest-corpus`:

- **Grade**: B (90.3%)
- **Critical Checks**: All passing
- **High Priority Checks**: All passing

## Example

```python
def square(x: int) -> int:
    """
    >>> square(5)
    25
    >>> square(0)
    0
    """
    return x * x
```

Becomes:
```json
{
  "source": "reprorusted-python-cli",
  "function": "square",
  "input": ">>> square(5)",
  "expected": "25",
  "signature": "def square(x: int) -> int"
}
```

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("paiml/python-doctest-corpus")

for example in dataset["train"]:
    print(f"{example['function']}: {example['input']} -> {example['expected']}")
```

## License

Apache 2.0

## Citation

```bibtex
@dataset{python_doctest_corpus,
  author = {PAIML},
  title = {Python Doctest Corpus},
  year = {2025},
  publisher = {HuggingFace},
  url = {https://huggingface.co/datasets/paiml/python-doctest-corpus}
}
```