Nirav-Madhani/meditation-math-seeds

--- license: mit task_categories: - text-generation language: - en tags: - math - meditation - reinforcement-learning - GRPO - seed-data size_categories: - 1K<n<10K --- # Meditation Math Seeds Training data for the **Meditation** project: self-supervised mathematical introspection as a training phase for language models. ## Dataset Structure | File | Records | Description | |------|---------|-------------| | topics.json | 188 | Math topics across 3 tiers with references | | seed_meditations.jsonl | 1,504 | Raw meditations generated by Gemini 3.1 Flash Lite | | seeds_filtered.jsonl | 601 | Quality-filtered meditations (40% pass rate) | | sft_formatted.jsonl | 601 | Chat-formatted for SFT training | ## Topic Tiers - **Tier 1** (50%): Fully verifiable with sympy (arithmetic, modular, combinatorics, series, polynomials) - **Tier 2** (30%): Partially verifiable (calculus, linear algebra, number theory, optimization) - **Tier 3** (20%): Judge-evaluated (abstract algebra, real analysis, topology, competition math) ## Quality Filters - Word count: 80-800 words - Math character density >= 15 - Self-posed problem detected - Sympy verification: no failed claims (tier 1-2) - Minimum verified claims: tier 1 >= 2, tier 2 >= 1 ## Citation See the [paper](https://github.com/Nirav-Madhani/MeditationLearning) for details.