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Computational & Quantum Chemistry — fine-tuning corpus + SFT seed
Neutral, reproducible data for the CPT→SFT case study in https://github.com/anisiraj/llm_kickstart_repo (handbook.html → 🧪 Case Study).
corpus/*.txt— 41 deduplicated Wikipedia articles (comp/quantum chemistry), NFKC-normalized, boilerplate stripped, equations preserved as inline$LaTeX$(1,149 equations). ~112k tokens. Source: English Wikipedia, CC BY-SA 4.0 (attribution required).sft/seed_qa.jsonl— 32 hand-written{prompt, completion}pairs for completion-only SFT.
Built by case_study/scripts/01_build_corpus.py + 02_data_availability.py. The ~99× token gap
between corpus and Q&A is the whole point of the case study (instruction data is scarce).
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