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Adolessence101-ally/python-logic-assertions

Deterministic Synthetic Python Logic & Assertion Dataset ⚡ Full Production Release Available: Looking for commercial licensing or larger training volume?📦 Download the Full 100,000 Verified Dataset (.Parquet + .JSONL) with Commercial Rights → A high-entropy, 100% syntactically verified synthetic dataset of Python conditional logic, multi-variable state mutations, and ground-truth unit test assertions. Dataset Overview Rows (Free Preview): 10,000 verified… See the full description on the dataset page: https://huggingface.co/datasets/Adolessence101-ally/python-logic-assertions.

sourceHugging Facecc-by-nc-4.0updated 2mo agoView on Hugging Face

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1---2license: cc-by-nc-4.03language:4- en5tags:6- synthetic7- code8- reasoning9- python10- assertions11- verified12size_categories:13- 10K<n<100K14task_categories:15- text-generation16pretty_name: PyLogic-Verified-10k17---18 19# Deterministic Synthetic Python Logic & Assertion Dataset20 21> ⚡ **Full Production Release Available:** Looking for commercial licensing or larger training volume?  22> 📦 **[Download the Full 100,000 Verified Dataset (.Parquet + .JSONL) with Commercial Rights →](https://buy.polar.sh/polar_cl_mJTc4TkjMmibI1h1DxoQaiDWf4Pu8NKAxYIG93QXYB0)**23 24---25 26A high-entropy, 100% syntactically verified synthetic dataset of Python conditional logic, multi-variable state mutations, and ground-truth unit test assertions.27 28## Dataset Overview29 30- **Rows (Free Preview):** 10,000 verified execution pairs31- **Full Commercial Corpus:** 100,000 samples (Dual Parquet + JSONL)32- **Format:** Apache Parquet (Snappy Compressed)33- **Zero Hallucination:** Every function includes closed-form deterministic unit test assertions.34- **Purpose:** Designed to fine-tune code LLMs on multi-variable boundary reasoning and execution state tracking.35 36## Commercial vs. Research Access37 38| Feature | 10k Hugging Face Sample | 100k Full Production Corpus |39| :--- | :--- | :--- |40| **Sample Count** | 10,000 rows | 100,000 rows |41| **Formats Included** | `.parquet` | `.parquet` + `.jsonl` |42| **Algorithmic Variety** | Baseline relational logic | 4 Distinct Algorithmic Templates |43| **License** | CC-BY-NC 4.0 (Non-Commercial) | **Full Commercial License** |44| **Access** | Free Download | **[Purchase ($24) →](https://buy.polar.sh/polar_cl_mJTc4TkjMmibI1h1DxoQaiDWf4Pu8NKAxYIG93QXYB0)** |45 46## Schema47 48| Column | Type | Description |49| :--- | :--- | :--- |50| `id` | string | Unique deterministic sample identifier |51| `instruction` | string | Natural language code generation prompt |52| `code` | string | Executable Python function implementation |53| `unit_test` | string | Ground-truth unit test suite (`assert` statements) |54 55## Quickstart56 57```python58from datasets import load_dataset59 60dataset = load_dataset("adolessence101-ally/python-logic-assertions")61print(dataset["train"][0])