Test upload via alimentar NDJSON API
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README.md
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---
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license: apache-2.0
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task_categories:
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- text-generation
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language:
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- en
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tags:
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- code
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- python
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- doctest
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- transpilation
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- rust
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size_categories:
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- n<1K
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---
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# Python Doctest Corpus
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A curated corpus of Python doctest examples designed for training Python-to-Rust transpilers and testing code translation systems.
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## Dataset Description
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This dataset contains Python function signatures, doctest inputs, and expected outputs that serve as high-quality training data for:
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- **Transpilation training**: Teaching models to translate Python patterns to Rust
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- **Test validation**: Verifying that transpiled code produces correct outputs
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- **Code understanding**: Benchmarking code comprehension systems
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## Schema
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| Column | Type | Description |
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|--------|------|-------------|
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| `source` | string | Source project identifier |
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| `version` | string | Git commit SHA or version |
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| `module` | string | Module path (e.g., `example_math.math_tool`) |
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| `function` | string | Function name being tested |
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| `input` | string | Python doctest input (e.g., `>>> square(5)`) |
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| `expected` | string | Expected output value |
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| `signature` | string | Full Python function signature with type hints |
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## Quality Score
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Quality score validated using `alimentar quality score --profile doctest-corpus`:
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- **Grade**: B (90.3%)
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- **Critical Checks**: All passing
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- **High Priority Checks**: All passing
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## Example
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```python
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def square(x: int) -> int:
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"""
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>>> square(5)
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25
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>>> square(0)
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0
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"""
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return x * x
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```
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Becomes:
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```json
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{
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"source": "reprorusted-python-cli",
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"function": "square",
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"input": ">>> square(5)",
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"expected": "25",
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"signature": "def square(x: int) -> int"
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}
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```
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## Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("paiml/python-doctest-corpus")
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for example in dataset["train"]:
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print(f"{example['function']}: {example['input']} -> {example['expected']}")
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```
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## License
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Apache 2.0
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## Citation
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```bibtex
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@dataset{python_doctest_corpus,
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author = {PAIML},
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title = {Python Doctest Corpus},
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year = {2025},
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publisher = {HuggingFace},
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url = {https://huggingface.co/datasets/paiml/python-doctest-corpus}
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}
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```
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