adding readme

Datasets/Engineering/README

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+Shape: 276 rows × 202 columns
+Domain: Engineering — this is a survey dataset about requirements engineering practices for ML-enabled systems.
+Column groups (the 202 columns are organized into sections):
+
+D1–D15 — Demographic info: education level, country, company size, role, software/ML experience, team size, management frameworks, programming languages, ML algorithms used, etc.
+Q1 — ML lifecycle phase importance ratings (Problem Understanding → Monitoring)
+Q2 — ML lifecycle phase difficulty ratings
+Q3 — ML lifecycle phase effort ratings
+Q4 — Open-ended main problems per lifecycle phase
+Q5 — Ranking of main problems
+Q6–Q7 — Solution optimality and extra effort
+Q8 — Who addresses ML requirements (roles)
+Q9 — Elicitation techniques used
+Q10 — Documentation methods
+Q11 — Non-functional requirements (NFRs) considered
+Q12 — Most difficult RE activities
+Q13–Q16 — Model deployment and monitoring practices
+Q17 — AutoML tool usage
+Origin — Survey source URL
+
+
+"The mountains don't care how tired you are."