Datasets:
| language: | |
| - id | |
| license: apache-2.0 | |
| task_categories: | |
| - text-generation | |
| - question-answering | |
| size_categories: | |
| - 100M<n<1B | |
| tags: | |
| - math | |
| - reasoning | |
| - cot | |
| - synthetic | |
| - lumina | |
| - foundations | |
| - agentic | |
| - enterprise-oop | |
| - urandom-entropy | |
| # Lumina-Math-Foundations-1B | |
| **Lumina-Math-Foundations-1B** is an industrial-scale foundational mathematical reasoning dataset in Indonesian, built upon the V18.0 Adaptive OOP & Cryptographic Entropy Engine. | |
| ### Key Schema Characteristics: | |
| - **Clean Text Fields (`problem`, `step_solving`, `answer`):** 100% pure human natural language and LaTeX math without hardcoded prompt tokens. | |
| - **Adaptive Code Architecture (`code`, `tool_calls_json`):** High-difficulty problems feature mandatory Enterprise `@dataclass` / OOP Classes, while elementary problems dynamically balance between functional snippets and classes based on `os.urandom` hardware entropy. | |
| - **Decoupled Tool Metadata (`tool_calls_json`, `tool_responses_json`, `verification_payload`):** Isolated JSON strings for agentic fine-tuning and programmatic RLVR validation. | |