README.md

metadata

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

⚡ Full Production Release Available: Looking for commercial licensing or larger training volume?
📦 Download the Full 100,000 Verified Dataset (.Parquet + .JSONL) with Commercial Rights →

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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.

Dataset Overview

• Rows (Free Preview): 10,000 verified execution pairs
• Full Commercial Corpus: 100,000 samples (Dual Parquet + JSONL)
• 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.

Commercial vs. Research Access

Feature	10k Hugging Face Sample	100k Full Production Corpus
Sample Count	10,000 rows	100,000 rows
Formats Included	.parquet	.parquet + .jsonl
Algorithmic Variety	Baseline relational logic	4 Distinct Algorithmic Templates
License	CC-BY-NC 4.0 (Non-Commercial)	Full Commercial License
Access	Free Download	Purchase ($24) →

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

from datasets import load_dataset

dataset = load_dataset("adolessence101-ally/python-logic-assertions")
print(dataset["train"][0])