Update README.md

Commercial Inquiries
This sample is licensed under Creative Commons Attribution Non-Commercial 4.0 (CC BY-NC 4.0).
For commercial training licenses or custom high-volume synthetic batches (1M–100M+ rows), contact the author directly.

README.md

@@ -1,3 +1,45 @@
 ---
 license: cc-by-nc-4.0
+language:
+- en
+tags:
+- synthetic
+- code
+- reasoning
+- python
+- assertions
+- verified
+size_categories:
+- 10K<n<100K
+task_categories:
+- text-generation
+pretty_name: PyLogic-Verified-10k
 ---
+
+# Deterministic Synthetic Python Logic & Assertion Dataset
+
+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:** 10,000 verified execution pairs
+- **Format:** Apache Parquet (Snappy Compressed)
+- **Zero Hallucination:** Every function includes closed-form deterministic unit test assertions.
+- **Purpose:** Designed to fine-tune code LLMs on multi-variable boundary reasoning and execution state tracking.
+
+## Schema
+
+| Column | Type | Description |
+| :--- | :--- | :--- |
+| `id` | string | Unique deterministic sample identifier |
+| `instruction` | string | Natural language code generation prompt |
+| `code` | string | Executable Python function implementation |
+| `unit_test` | string | Ground-truth unit test suite (`assert` statements) |
+
+## Quickstart
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("adolessence101-ally/python-logic-assertions")
+print(dataset["train"][0])