JasonYan777/PersonaSignal-PersonalizedResponse-Agency-Expectation-Meta-Llama-3.1-8B-Instruct-Turbo

Dataset card for PersonaSignal-PersonalizedResponse-Agency-Expectation-Meta-Llama-3.1-8B-Instruct-Turbo

This dataset was made with Curator.

Dataset details

A sample from the dataset:

{
    "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": "To plan a $60 vegetarian week with decent protein, consider the following options:\n\n**Option 1: Pasta with Marinara Sauce and Roasted Vegetables**\n* Cost: $9.50 per serving (serves 4)\n* Protein per serving: 15g\n* Ingredients: pasta, marinara sauce, roasted vegetables (such as zucchini, bell peppers, and onions)\n\n**Option 2: Lentil Soup with Whole Grain Bread**\n* Cost: $10.25 per serving (serves 6)\n* Protein per serving: 18g\n* Ingredients: lentils, diced vegetables (such as carrots, celery, and onions), whole grain bread\n\n**Option 3: Grilled Vegetable Wrap with Hummus**\n* Cost: $8.75 per serving (serves 4)\n* Protein per serving: 12g\n* Ingredients: whole grain wrap, hummus, grilled vegetables (such as zucchini, bell peppers, and onions)\n\n**Shopping List:**\n* Pasta\n* Marinara sauce\n* Roasted vegetables (such as zucchini, bell peppers, and onions)\n* Lentils\n* Diced vegetables (such as carrots, celery, and onions)\n* Whole grain bread\n* Hummus\n* Whole grain wrap\n* Grilled vegetables (such as zucchini, bell peppers, and onions)\n\n**Menu Combinations:**\n* Monday: Pasta with Marinara Sauce and Roasted Vegetables\n* Tuesday: Lentil Soup with Whole Grain Bread\n* Wednesday: Grilled Vegetable Wrap with Hummus\n* Thursday: Pasta with Marinara Sauce and Roasted Vegetables\n* Friday: Lentil Soup with Whole Grain Bread\n* Saturday: Grilled Vegetable Wrap with Hummus\n* Sunday: Pasta with Marinara Sauce and Roasted Vegetables"
}

Loading the dataset

You can load this dataset using the following code:

from datasets import load_dataset

dataset = load_dataset("JasonYan777/PersonaSignal-PersonalizedResponse-Agency-Expectation-Meta-Llama-3.1-8B-Instruct-Turbo")