feat: add EdTech student-tutor benchmark scenario#18
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Adds a domain-specific benchmark scenario modelling AI-tutor conversations with hierarchical student facts (name, grade, school, favourite subject, GPA, learning style) and four fact updates that simulate real learning progressions. Changes: - simulator/scenarios/edtech.py — EDTECH_FACTS, EDTECH_FILLER_TURNS, and EDTECH_PERSONA_POOL (5 diverse student personas for multi-seed runs) - simulator/conversation.py — generate_conversation() now accepts an optional filler_turns list for domain-specific Q&A interleaving - evaluation/benchmark.py — run_benchmark() and run_benchmark_multi_seed() accept filler_turns and persona_pool kwargs so any scenario can be plugged in - main.py — --scenario flag (choices: default | edtech) resolves the right facts, filler, and persona pool before calling the benchmark Usage: python main.py --scenario edtech python main.py --scenario edtech --seeds 5 Closes Neal006#13 Neal006#4
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Summary
Implements the EdTech domain scenario requested in issues #13 and #4.
What's added
simulator/scenarios/edtech.pyEDTECH_FACTS— 8 facts about a student persona (name, grade, school, favourite subject, weakest subject, GPA, learning style, study hours). Four facts have mid-conversation updates simulating real learning progressions (grade advancement, subject switch, GPA improvement, learning-style evolution).EDTECH_FILLER_TURNS— 20 domain-specific tutoring requests ("Can you explain the Pythagorean theorem?","What caused the First World War?", etc.) replacing the generic tech Q&A fillers. This makes retrieval harder for keyword-matching backends.EDTECH_PERSONA_POOL— 5 diverse student personas (Priya Nair, Carlos Mendez, Aisha Kamara, Haruto Tanaka, Amelia Brooks) for multi-seed benchmarking.simulator/conversation.pygenerate_conversation()now accepts an optionalfiller_turnsparameter, making it trivial to plug in any domain's Q&A list without copying the generator.evaluation/benchmark.pyrun_benchmark()andrun_benchmark_multi_seed()accept:filler_turns— propagated togenerate_conversation()persona_pool— lets multi-seed runs use a scenario-specific persona set instead of the default PERSONA_POOLmain.pyNew
--scenarioflag:Closes #13 #4