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+ PyMini Banner +

+ + + +# PyMini – A Compact Python Instruction Dataset for Small Language Models + +**PyMini** is a synthetic instruction dataset built by [Inserloft](https://inserloft.com) to teach Python programming to small language models (<2B parameters). It covers fundamental Python concepts through a diverse set of tasks — code prediction, bug fixing, function completion, explanation, and conceptual Q&A. Available in **English, Spanish, or bilingual** versions. + +## Dataset Description + +PyMini provides a **high-quality, compact, and fully synthetic** dataset for fine-tuning models that need a solid grasp of Python without unnecessary complexity. Every example is generated programmatically, avoiding license issues and giving exact control over difficulty and coverage. + +- **Languages:** English (`en`), Spanish (`es`), or mixed (`both`) +- **Number of examples:** Configurable; default release contains **~49,200 examples** (balanced across task types) +- **Format:** Parquet (native), auto-converted from the original generation output +- **Generated with:** Python script (no web scraping, no copyrighted code) + +## Dataset Structure + +Each example is a JSON object with three fields: + +```json +{ + "instruction": "string (the task description)", + "input": "string (code snippet or empty)", + "output": "string (the expected answer/code/explanation)" +} +``` + +Example (English): + +```json +{ + "instruction": "What is the output of the following code?", + "input": "```python\nprint(3 + 4 * 5)\n```", + "output": "23" +} +``` + +The `input` field may be empty for tasks like "Write a function...". + +## Task Types and Distribution + +| Task Type | Description | Approx. Weight | +|---|---|---| +| Predict Output | Given a code snippet, predict what it prints or evaluates to. | 25% | +| Fix Bug | Correct syntax or logical errors in provided code. | 15% | +| Fill Missing Line | Complete a partially written function body to fulfill its purpose. | 15% | +| Write Function | Write a whole function from a natural language specification. | 20% | +| Explain Code | Explain in plain language what a piece of code does. | 15% | +| Concept Question | Answer a theoretical question about Python (e.g., "What is a list?"). | 10% | +| Convert Code | Transform a loop into a comprehension or vice versa. | 5% | + +All code examples are self-contained and focus on core Python: variables, types, conditionals, loops, functions, lists, dictionaries, sets, file handling, exceptions, basic OOP, and comprehensions. + +## Usage + +Load the dataset directly with the Hugging Face `datasets` library: + +```python +from datasets import load_dataset + +dataset = load_dataset("inserloft/PyMini", split="train") +print(dataset[0]) +``` + +The dataset is stored natively in **Parquet** format, so it loads quickly and works out of the box with the `datasets` library, Dataset Viewer, and any Parquet-based tooling (pandas, DuckDB, Polars, etc.): + +```python +import pandas as pd + +df = pd.read_parquet("hf://datasets/inserloft/PyMini/train.parquet") +print(df.head()) +``` + +## Data Fields + +- **instruction** (str): Task description in the chosen language. +- **input** (str): Optional code block (formatted with ` ```python ` fences) or empty string. +- **output** (str): Expected response (may contain code blocks, explanations, or short answers). + +## Data Splits + +The default release includes a single training split. For evaluation, we recommend either: + +- Holding out a random 5–10% of the data, or +- Using a separate, handcrafted test set of real-world Python problems. + +## Generation Process + +PyMini is entirely synthetic, generated by a Python script that randomly combines templates and safe code evaluation to produce diverse examples. Key aspects of the generation: + +- **Deduplication:** A hash-based deduplication step prevents exact duplicate examples. +- **Reproducibility:** The script uses a fixed random seed (42) for reproducible generation. +- **Safety:** All code snippets are evaluated in a restricted environment (no file system access, limited built-ins). +- **Customization:** Adjust the number of examples, language (`--lang es/en/both`), and task weights by modifying the script. + +The generation script is included in the repository (`generate_pymini.py`). Output is converted to Parquet for storage and distribution on the Hub. + +## Intended Use + +This dataset is intended for fine-tuning small language models (under ~2 billion parameters) to improve their Python understanding and code generation abilities. It is particularly suitable for: + +- Code assistants that must explain or fix Python code. +- Educational tools that teach Python basics. +- Lightweight models running in resource-constrained environments (edge, mobile). + +## Out-of-Scope Use + +PyMini is not designed for: + +- Large-scale production code generation. +- Mastering advanced Python libraries (NumPy, pandas, Django, etc.). +- Security-sensitive code auditing. + +The examples are deliberately simple and may not cover edge cases of real-world software. + +## Bias, Risks, and Limitations + +- **Synthetic nature:** The dataset was generated from templates, so it may lack the stylistic variance of human-written code. +- **Language coverage:** While bilingual, the vocabulary is limited to common Python terminology. Colloquial expressions or complex natural language instructions may be underrepresented. +- **No malicious code:** The dataset does not include security vulnerabilities or harmful patterns; it is purely educational. +- **Potential overfitting:** Because of the templated generation, models may memorize patterns rather than generalizing to unseen code. Evaluate on diverse, real-world test sets. + +## License + +This dataset is released under the MIT License. You are free to use, modify, and distribute it for both research and commercial purposes. + +## Citation + +If you use PyMini in your work, please cite it as: + +```bibtex +@misc{pymini2025, + title = {PyMini: A Compact Python Instruction Dataset for Small Language Models}, + author = {Inserloft}, + year = 2025, + howpublished = {\url{https://huggingface.co/datasets/inserloft/PyMini}} +} +``` + +## Contributing + +Feel free to open issues or pull requests if you have suggestions for new task types, additional languages, or improvements to the generation script. + +## Contact + +For questions, reach out via the Hugging Face community tab or through [inserloft.com](https://inserloft.com). \ No newline at end of file diff --git a/img/Banner.png b/img/Banner.png new file mode 100644 index 0000000000000000000000000000000000000000..74f6494d98b046f9f6dce0cc3c4ee090b35311c7 --- /dev/null +++ b/img/Banner.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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