six-sigma
lean-six-sigma-qna-360
Lean Six Sigma QnA Dataset
Dataset Description
This dataset contains 360 high-quality question-answer pairs focused on Lean Six Sigma methodologies, business process improvement, and operational optimization across multiple industries. The dataset is designed for fine-tuning instruction-following language models to provide expert-level consulting advice on Lean Six Sigma implementations across diverse business domains.
Dataset Structure
Data Fields… See the full description on the dataset page: https://huggingface.co/datasets/cw18/lean-six-sigma-qna-360.review-residuals
Review Residuals — Scaling Sweep Results
Supporting data, code, and paper for "Review Residuals: Update-Conditioned Residual Gating for Transformers" (Kyle Kramer, NeraTech LLC, 2026).
Review Residuals scale each transformer sublayer's proposed update by a small learned gate conditioned on both the current state and the proposed update — an in-network analogue of independent verification. Trained from scratch with parameter-matched baselines, the advantage over both a Highway… See the full description on the dataset page: https://huggingface.co/datasets/SixSigmaEngineer/review-residuals.lean-six-sigma-ner-360
Lean Six Sigma NER Dataset
Dataset Description
This dataset contains 360 high-quality Named Entity Recognition (NER) samples focused on Lean Six Sigma methodologies, business process improvement, and operational optimization across multiple industries. Each sample identifies and categorizes key entities, tools, and methodologies within DMAIC (Define, Measure, Analyze, Improve, Control) framework responses across diverse business domains.
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/cw18/lean-six-sigma-ner-360.lean-six-sigma-qna-v1
Lean Six Sigma QnA Dataset
Dataset Description
This dataset contains 102 high-quality question-answer pairs focused on Lean Six Sigma methodologies, business process improvement, and supply chain optimization. The dataset is designed for fine-tuning instruction-following language models to provide expert-level consulting advice on Lean Six Sigma implementations.
Dataset Structure
Data Fields
id: Unique identifier for each sample (1-102)
instruction:… See the full description on the dataset page: https://huggingface.co/datasets/cw18/lean-six-sigma-qna-v1.lean-six-sigma-cot-500
Lean Six Sigma Chain-of-Thought (CoT) Reasoning Dataset
Dataset Description
This dataset contains high-quality Chain-of-Thought (CoT) reasoning samples for Lean Six Sigma and statistical problem-solving. Each sample includes step-by-step expert reasoning, industry context, and method selection, covering DMAIC, hypothesis testing, FAQ, data reasoning, and mixed sample types. The dataset is designed for fine-tuning language models to perform advanced Chain-of-Thought… See the full description on the dataset page: https://huggingface.co/datasets/cw18/lean-six-sigma-cot-500.lean-six-sigma-ner-v1
Lean Six Sigma NER Dataset
Dataset Description
This dataset contains 102 high-quality Named Entity Recognition (NER) samples focused on Lean Six Sigma methodologies, business process improvement, and supply chain optimization. Each sample identifies and categorizes key entities, tools, and methodologies within DMAIC (Define, Measure, Analyze, Improve, Control) framework responses.
Dataset Structure
Data Fields
id: Unique identifier for each sample… See the full description on the dataset page: https://huggingface.co/datasets/cw18/lean-six-sigma-ner-v1.