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  # Deterministic Synthetic Python Logic & Assertion Dataset
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  A high-entropy, 100% syntactically verified synthetic dataset of Python conditional logic, multi-variable state mutations, and ground-truth unit test assertions.
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  ## Dataset Overview
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- - **Rows:** 10,000 verified execution pairs
 
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  - **Format:** Apache Parquet (Snappy Compressed)
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  - **Zero Hallucination:** Every function includes closed-form deterministic unit test assertions.
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  - **Purpose:** Designed to fine-tune code LLMs on multi-variable boundary reasoning and execution state tracking.
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  ## Schema
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  | Column | Type | Description |
 
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  # Deterministic Synthetic Python Logic & Assertion Dataset
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+ > ⚡ **Full Production Release Available:** Looking for commercial licensing or larger training volume?
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+ > 📦 **[Download the Full 100,000 Verified Dataset (.Parquet + .JSONL) with Commercial Rights →](https://buy.polar.sh/polar_cl_mJTc4TkjMmibI1h1DxoQaiDWf4Pu8NKAxYIG93QXYB0)**
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  A high-entropy, 100% syntactically verified synthetic dataset of Python conditional logic, multi-variable state mutations, and ground-truth unit test assertions.
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  ## Dataset Overview
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+ - **Rows (Free Preview):** 10,000 verified execution pairs
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+ - **Full Commercial Corpus:** 100,000 samples (Dual Parquet + JSONL)
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  - **Format:** Apache Parquet (Snappy Compressed)
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  - **Zero Hallucination:** Every function includes closed-form deterministic unit test assertions.
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  - **Purpose:** Designed to fine-tune code LLMs on multi-variable boundary reasoning and execution state tracking.
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+ ## Commercial vs. Research Access
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+ | Feature | 10k Hugging Face Sample | 100k Full Production Corpus |
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+ | :--- | :--- | :--- |
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+ | **Sample Count** | 10,000 rows | 100,000 rows |
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+ | **Formats Included** | `.parquet` | `.parquet` + `.jsonl` |
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+ | **Algorithmic Variety** | Baseline relational logic | 4 Distinct Algorithmic Templates |
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+ | **License** | CC-BY-NC 4.0 (Non-Commercial) | **Full Commercial License** |
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+ | **Access** | Free Download | **[Purchase ($24) →](https://buy.polar.sh/polar_cl_mJTc4TkjMmibI1h1DxoQaiDWf4Pu8NKAxYIG93QXYB0)** |
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  ## Schema
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  | Column | Type | Description |