JasonYan777/PersonaSignal-PersonalizedResponse-Agency-Expectation-gpt-4o

{
    "dimension_name": "agency_expectation",
    "dimension_values": [
        "High-Agency",
        "Shared-Agency",
        "Low-Agency"
    ],
    "dimension_description": "Influences the level of initiative and decision-making the assistant should take. 'High-Agency': Assistant makes direct recommendations and decisions ('I recommend option X because...'). 'Shared-Agency': Assistant engages in collaborative reasoning ('Let's think through this... What do you think about...'). 'Low-Agency': Assistant presents neutral information without opinions ('Here are three options: A, B, C with the following details...').",
    "question": "I have $60 to cook vegetarian meals for the week with decent protein. How should I plan it?",
    "why_differ": "A high-agency response would present a concrete menu, grocery list with quantities, and prep schedule. A shared-agency response would outline a draft plan and ask about preferences or kitchen constraints, while a low-agency response would list budgeting strategies and protein sources without committing to one plan.",
    "how_subtle": "Differences show via whether the answer commits to a single plan, presents decision points inviting input, or neutrally enumerates options; cues are in specificity, sequencing, and firmness of choices.",
    "sampled_value": "Low-Agency",
    "num_distractors": 5,
    "ground_truth_persona": "A home cook with a basic kitchen planning a $60 vegetarian week. Prefers the assistant to lay out neutral options with prices and protein per serving, without recommending a single \u2018best\u2019 plan. Wants a clear shopping list and multiple menu combinations to choose from.",
    "distractor_personas": [
        "A home cook planning a $60 vegetarian week with a basic kitchen. Wants the assistant to pick a specific 7-day menu, finalize the shopping list, and state exact quantities and meal prep steps. Expects firm recommendations on what to cook.",
        "Comfortable following clear directions and not seeking back-and-forth. Expects the assistant to decide the best value-protein recipes and lock in a day-by-day schedule. Appreciates decisive choices over a range of options.",
        "Open to brainstorming a $60 vegetarian plan together with a basic kitchen setup. Wants the assistant to suggest a draft menu and ask a few quick questions about tastes and batch-cooking before finalizing. Prefers to refine choices collaboratively.",
        "Enjoys talking through trade-offs like cost per serving versus variety. Hopes the assistant will propose options and check in about preferences (e.g., spice level or prep time) before settling on a plan. Likes a conversational, back-and-forth approach.",
        "Wants to co-create the weekly menu, starting with a rough outline. Expects the assistant to float alternatives and request feedback, iterating until the plan fits. Comfortable making decisions jointly rather than getting a fixed answer."
    ],
    "personalized_response": "Planning a weekly menu on a budget can be a rewarding puzzle. Let\u2019s allocate the $60 budget towards versatile ingredients that offer variety, nutrition, and flexibility in preparation. Here\u2019s a breakdown to help you get started:\n\n### Key Ingredient Options\n\n1. **Beans**\n   - **Types**: Canned or dry black beans, chickpeas\n   - **Cost**: $0.80 - $1.50 per can ($3 should cover several servings)\n   - **Protein**: Approximately 7g per 1/2 cup serving\n\n2. **Lentils**\n   - **Cost**: $1.50 per pound (1 pound should last for multiple meals)\n   - **Protein**: About 9g per 1/2 cup cooked\n\n3. **Tofu**\n   - **Cost**: $2 - $3 per block\n   - **Protein**: Roughly 10g per 1/4 block (100g)\n\n4. **Quinoa**\n   - **Cost**: $3 for a 12 oz pack\n   - **Protein**: 6g per 1/2 cup cooked\n\n5. **Eggs**\n   - **Cost**: $3 per dozen\n   - **Protein**: 6g per egg\n\n6. **Frozen Mixed Vegetables**\n   - **Cost**: $2 per bag\n   - **Protein**: Minimal but rich in micronutrients\n\n7. **Brown Rice**\n   - **Cost**: $2 per pound\n   - **Protein**: 5g per 1 cup cooked\n\n8. **Pasta**\n   - **Cost**: $1 for a box\n   - **Protein**: 7g per serving (consider whole wheat or protein-enriched pasta for more)\n\n### Sample Shopping List\n- 2 cans of beans: $3\n- 1 lb lentils: $1.50\n- 1 block of tofu: $2\n- 1 pack quinoa: $3\n- 1 dozen eggs: $3\n- Frozen vegetables: $4\n- Brown rice and pasta: $3\n- Fresh vegetables (such as bell peppers, spinach, or carrots): $10\n- Canned tomatoes or tomato sauce for flavor: $2\n- Nuts or seeds for snacks or added texture: $5\n\n**Total Estimated Cost: $36.50**\n\nThis leaves some budget room for seasonings like herbs or spices that you may not already have, or for a treat like a piece of dark chocolate or yogurt.\n\n### Meal Ideas With Protein Info\n\n1. **Chickpea and Spinach Curry**\n   - Ingredients: Chickpeas, canned tomatoes, spinach, curry spices\n   - Protein per serving: ~10g\n\n2. **Lentil Soup**\n   - Ingredients: Lentils, carrots, celery, onion, vegetable broth\n   - Protein per serving: ~12g\n\n3. **Tofu Stir-Fry**\n   - Ingredients: Tofu, mixed vegetables, soy sauce\n   - Protein per serving: ~15g\n\n4. **Egg Fried Rice**\n   - Ingredients: Eggs, rice, peas, carrots\n   - Protein per serving: ~12g\n\n5. **Quinoa Salad**\n   - Ingredients: Quinoa, bell peppers, nuts, lemon juice\n   - Protein per serving: ~8g\n\n6. **Black Bean Tacos**\n   - Ingredients: Black beans, salsa, whole wheat tortillas\n   - Protein per serving: ~12g\n\nBy rotating these dishes and adjusting portions, you can create a satisfying meal plan that meets protein needs and keeps each meal interesting. Mixing and matching these ingredients allows for creativity while using budget-friendly staples to manage costs effectively."
}

from datasets import load_dataset

dataset = load_dataset("JasonYan777/PersonaSignal-PersonalizedResponse-Agency-Expectation-gpt-4o")