Datasets:

JasonYan777
/

PersonaSignal-PerceivabilityTest-Agency-Expectation

dimension_name string	dimension_values list	dimension_description string	question string	why_differ string	how_subtle string	sampled_value string	num_distractors int64	ground_truth_persona string	distractor_personas list	personalized_response string	judge_choice string	judge_rationale string	reward int64
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	I have $60 to cook vegetarian meals for the week with decent protein. How should I plan it?	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.	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.	Low-Agency	5	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 ‘best’ plan. Wants a clear shopping list and multiple menu combinations to choose from.	[ "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. E...	Here’s a weekly vegetarian meal plan that focuses on affordable, protein-rich options while staying within your $60 budget. Below are menu combinations for various meals, including approximate prices and protein per serving, as well as a shopping list at the end. ### Meal Plan Overview #### Breakfast Options: 1. **Oa...	F	The response provides a clear meal plan with neutral options, prices, and protein content, allowing the user to choose from multiple combinations. This aligns with persona F, which prefers not to have a single recommended plan but rather a variety of choices laid out with details.	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	I want to be ready for a 10K in 8 weeks while working full-time. What training approach would you suggest?	High-agency would give a dated calendar with target paces and rest days. Shared-agency would propose a base structure contingent on current fitness and solicit adjustments, while low-agency would describe principles and multiple sample weekly templates without a definitive pick.	Perceivable through granularity (calendar vs framework), conditional phrasing, and whether one plan is fixed versus multiple alternatives are offered.	High-Agency	5	Wants decisive, prescriptive coaching tailored to a full-time schedule. Expects the assistant to choose a specific 8-week 10K plan with defined weekly mileage, key workouts, and rest days, and to state clear reasons. Prefers firm recommendations over options.	[ "Prefers to co-design the 8-week 10K plan, discussing trade-offs and adjusting around a full-time job. Wants the assistant to propose directions, ask questions, and refine the plan together. Comfortable arriving at decisions collaboratively.", "Seeks a conversational partner to think through training approaches. ...	To effectively prepare for a 10K in 8 weeks while balancing a full-time schedule, I recommend a structured training plan that maximizes efficiency. This plan includes defined weekly mileage, key workouts, and designated rest days to ensure recovery and adaptation. Here’s a detailed breakdown: ### 8-Week 10K Training P...	F	The response provides a decisive, detailed, and structured 8-week training plan specifically designed for someone with a full-time schedule, including defined mileage, key workouts, and rest days. It emphasizes clear recommendations for training while balancing work, which aligns with persona F, who seeks prescriptive ...	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	My desktop is a mess of files. What's an effective way to sort and keep it organized?	High-agency would provide a specific folder schema, naming conventions, and a cleanup sequence. Shared-agency would introduce categorization options and ask about workflows to tailor the system, while low-agency would compare common methods with pros and cons.	Signal comes from decisiveness (one taxonomy), presence of collaborative decision points, or neutral comparison without selection.	High-Agency	5	I want the assistant to take charge and tell me exactly how to fix my messy desktop. Give me a single recommended folder structure, naming rules, and a clear sequence of steps to follow now. Make decisive choices for me rather than offering multiple options.	[ "I prefer to talk through the problem and co-design an organization system. Ask me a few questions about my file types and habits, then suggest a plan we can refine together. I'm open to iterating based on what seems workable.", "I like collaborative guidance. Walk me through trade-offs of different folder approa...	To effectively sort and organize your desktop, follow this clear structure and set of steps: ### Folder Structure: Create the following main folders on your desktop: 1. Work - Projects - Reports - Meetings 2. Personal - Finances - Health - Hobbies 3. Downloads - Tempo...	F	The response provides a clear and prescriptive set of steps and rules for organizing the desktop, indicating a decisive approach. This aligns with persona F's preference for a direct and definitive solution rather than options or collaboration.	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	We have two weeks to build an MVP. Features on the table: feed, offline mode, in-app support. How should we prioritize?	High-agency would assign must/should/could rankings and a build sequence. Shared-agency would set up a scoring framework and request criteria, while low-agency would analyze benefits, effort, and dependencies without ordering.	Implicit through whether a ranked backlog is produced, a collaborative framework with inputs appears, or a balanced analysis is given without a final prioritization.	Low-Agency	5	A product teammate assisting a small team on a two-week MVP. Prefers to outline options, surface trade-offs, and provide data points without steering decisions. Will list pros/cons and timelines for each feature so the team can choose.	[ "A product teammate assisting a small team on a two-week MVP. Tends to take the lead by proposing a single stack‑ranked plan with explicit trade‑offs and justification. Will make crisp calls to reduce ambiguity and keep scope tight.", "A product teammate assisting a small team on a two-week MVP. Works collaborati...	When prioritizing features for your MVP within a two-week timeframe, it’s essential to weigh the value each feature brings against the complexity of implementation. Here’s a breakdown of the features you mentioned: ### 1. Feed Pros: - Central to user engagement; if this is a social or content-focused app, havi...	E	The response provides a clear recommendation for prioritizing the features based on specific criteria such as user value, complexity, and risk. It explicitly chooses an order (1. Feed, 2. In-App Support, 3. Offline Mode) to streamline execution, which aligns with the persona described in E. The detailed pros and cons a...	0
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	I need to budget $2,000 for a four-day conference trip. Can you help plan the spend?	High-agency would allocate line items with target amounts and booking order. Shared-agency would set envelopes based on user preferences and propose ranges, while low-agency would summarize typical costs and cost-saving tactics without assigning amounts.	Cues lie in concreteness of allocations, explicit decision points tied to preferences, and neutrality in presenting ranges and tips.	Shared-Agency	5	Planning a four-day conference trip with a $2,000 budget. I prefer to talk through trade-offs and shape the plan together: propose allocations and ask a couple of clarifying questions as we go. I value shared reasoning and brief check-ins before finalizing the breakdown.	[ "I want a confident, done-for-me plan for a four-day conference trip within $2,000. Please take the lead, decide the allocations, and give me a firm itinerary and budget breakdown. Minimize questions—just tell me what to do and why.", "For this $2,000, four-day trip, I expect strong recommendations. Choose the lo...	Absolutely, let's break down the budget for your four-day conference trip. Setting aside around $2,000 gives us a clear framework to work with. Here’s a proposed allocation to consider: 1. Accommodation: Depending on where the conference is held, hotel prices can widely vary. A reasonable estimate for a mid-range ...	F	The response involves breaking down a budget and making tentative suggestions while inviting feedback and adjustments from the user. This aligns with persona F's preference for collaborative planning, shared reasoning, and open communication to finalize decisions.	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	I have three weeks to refresh data structures for interviews. How should I structure my study time?	High-agency would present a day-by-day schedule with specific resources and drills. Shared-agency would propose phases and checkpoints based on weak areas, while low-agency would list topics, resources, and sample paces without fixing a schedule.	Differences are in scheduling precision, inclusion of adaptation prompts, and whether multiple paths vs one prescribed plan are given.	High-Agency	5	I want a decisive, step-by-step 3‑week study plan for data structures with specific tasks and selected resources. Tell me exactly what to do each day and which topics to prioritize, making clear choices on my behalf. I prefer firm recommendations rather than options.	[ "I’d like to co-design a 3‑week study plan together. Start by asking a couple clarifying questions about my current strengths and time, then suggest a draft we can iterate on. Offer trade-offs and check with me before finalizing.", "Let’s think through a three‑week plan collaboratively. Propose an outline and inv...	### Three-Week Data Structures Study Plan Week 1: Foundations of Data Structures Focus on understanding fundamental concepts, characteristics, and uses. Day 1: Arrays - Read about arrays and their properties. - Practice problems on array manipulations (e.g., reversing an array, two-pointer technique). ...	F	The response outlines a definitive, structured three-week study plan for data structures with specific tasks and selected resources for each day, which aligns with persona F's preference for a decisive and directive approach. F is looking for a clear, actionable plan without ambiguity, and this response meets that need...	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	I'm late by two days on a client deliverable. How should I draft the email?	High-agency would provide a ready-to-send draft with a firm revised date and brief remediation steps. Shared-agency would offer a structure and tone choices tailored to context, while low-agency would list components and sample phrases without a single full draft.	Perceivable via presence of commitments and finalized wording, versus modular options and tone forks, versus generalized guidance snippets.	High-Agency	5	A mid-level professional who needs to email a client about being two days late on a deliverable. Values concise, professional communication and wants to preserve the relationship. Expects the assistant to take the lead with a clear recommendation: supply a ready-to-send subject line, a firm apology-and-solution draft, ...	[ "A mid-level professional who needs to email a client about being two days late on a deliverable. Values concise, professional communication and wants to preserve the relationship. Prefers to work collaboratively with the assistant—talk through tone, weigh a couple of draft approaches, and decide together what to s...	Subject: Update on Deliverable Timeline Dear [Client's Name], I hope this message finds you well. I am writing to sincerely apologize for the delay in delivering [specific deliverable] which is now two days overdue. I understand the importance of maintaining timelines and I regret any inconvenience this may have ca...	F	The response displays clear and structured communication, with a strong focus on maintaining a professional relationship while delivering a concise apology and solution. This aligns closely with persona F, which expects a clear recommendation, including a ready-to-send subject line and a definite plan of action. The me...	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	What metrics should we track for a small beta launch to decide if we continue?	High-agency would select a lean metric set with decision thresholds. Shared-agency would align on goals and propose candidates tied to strategy, while low-agency would catalog metric families and their implications.	The tell is in firm thresholds and a narrowed set, collaborative goal-framing with shortlists, or neutral enumeration without convergence.	High-Agency	5	I prefer decisive guidance: tell me exactly which metrics to track for a beta and the threshold targets, with a concise rationale. Make a go/no-go recommendation structure and choose defaults I can adopt immediately.	[ "I like to think through options together: suggest candidate metrics and tradeoffs, and ask me a couple of questions to align on goals. Help me co-create the go/no-go criteria rather than deciding unilaterally.", "I want a neutral overview: provide a structured list of possible metrics, definitions, and how to ca...	For a small beta launch, it’s crucial to track the following key metrics to inform your go/no-go decision: 1. User Engagement Metrics - Daily Active Users (DAU): AT LEAST 25% of beta users should log in daily. This showcases whether users find the product engaging. - Session Duration: Aim for an av...	F	The response provides clear metrics with defined targets for beta launch metrics, showcasing a preference for decisive guidance. It offers specific numbers and a structured go/no-go recommendation, aligning closely with persona F's desire for clear direction and immediate actionable items.	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	I want reliable Wi‑Fi in a 1,200 sq ft apartment with lots of devices. How should I set it up?	High-agency would specify hardware models, placement, and channel settings. Shared-agency would request layout details and present two viable configurations, while low-agency would explain router vs mesh options and selection criteria.	Distinguished by prescriptive bill of materials, context-driven forks, or impartial exposition of options.	Low-Agency	5	Lives in a 1,200 sq ft apartment with many connected devices. Prefers the assistant to present neutral, side-by-side options with specs and trade-offs without steering the choice. Wants to review the facts and make the final decision independently.	[ "Lives in a 1,200 sq ft apartment with many devices. Wants the assistant to make a firm call and specify exactly which setup to buy and the steps to configure it. Prefers one clear best plan over a menu of options.", "In a 1,200 sq ft apartment packed with gadgets. Expects the assistant to take the lead, choose a...	To ensure reliable Wi-Fi coverage in a 1,200 sq ft apartment, especially with many connected devices, you have two main setup options: a single powerful router or a mesh Wi-Fi system. Here’s a breakdown of both: ### Option 1: High-Performance Single Router Advantages: - Simplicity: Easy to set up and manage....	F	The response presents neutral information comparing two Wi-Fi setup options with specifications and trade-offs without making a definitive recommendation or steering the decision. It allows the user to review the facts before making their final choice, which aligns with persona F's preference for independent decision-m...	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	I have a full Saturday for chores and rest. What's a good way to plan the day?	High-agency would give a time‑blocked schedule with task order and breaks. Shared-agency would sketch blocks with options adjusted to energy patterns, while low-agency would provide planning principles and example block ideas without fixing times.	Seen in firmness and granularity of timing, inclusion of choice points, and whether the response remains at the level of guidelines.	High-Agency	5	Has a free Saturday for chores and downtime. Prefers the assistant to take charge and lay out a clear, hour-by-hour plan with firm recommendations and sequencing, including when to rest. Wants the assistant to decide on the structure so they can follow it.	[ "Has an open Saturday for chores and relaxation. Wants to co-create the schedule through a brief back-and-forth: clarify priorities, then build the plan together. Prefers suggestions framed as questions and checkpoints.", "Free all day Saturday with chores and rest in mind. Likes a collaborative approach where th...	Saturday Plan for Chores and Rest 8:00 AM - 9:00 AM: Wake Up & Breakfast - Start your day with a nutritious breakfast. Take your time to enjoy your meal and hydrate with a glass of water or tea. 9:00 AM - 10:30 AM: Cleaning Living Spaces - Begin with a solid cleaning session in common areas like t...	F	The response presents a clear, detailed hour-by-hour schedule for chores and rest, indicating a strong preference for structure and guidance. This aligns best with persona F, who desires the assistant to take charge and lay out explicit recommendations for the day.	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	We need basic bookkeeping for a small shop. How should we choose a solution?	High-agency would nominate a specific approach and a short vetted shortlist. Shared-agency would define criteria and weigh them with the user, while low-agency would outline categories and pros/cons without narrowing.	Implicit through converging on a pick, inviting preference weighting, or staying descriptive and noncommittal.	Low-Agency	5	A small shop owner seeking basic bookkeeping. Prefers the assistant to lay out a few viable approaches with clear pros, cons, and rough costs, without steering the decision. Wants concise comparison points so they can choose on their own.	[ "A small shop owner seeking basic bookkeeping. Wants the assistant to evaluate the options and name one best-fit solution with a brief rationale. Also expects concrete next steps for getting it set up.", "A small shop owner seeking basic bookkeeping. Wants to work through the choice together: clarify needs, agree...	When choosing a bookkeeping solution for a small shop, consider the following approaches, each with their pros, cons, and approximate costs: ### 1. Manual Bookkeeping - Pros: - Low cost (just paper and pen or a basic spreadsheet). - Gives complete control over your records. - Can be t...	F	The response provides a detailed comparison of various bookkeeping options with clear pros, cons, and costs, allowing the user to evaluate and decide based on their own preferences. This aligns with persona F's preference for a concise comparison of approaches without steering the decision.	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	I have to address missed deadlines with a teammate. How can I prepare for the conversation?	High-agency would provide a stepwise script with key phrases and sequence. Shared-agency would clarify objectives and co-create questions and boundaries, while low-agency would describe feedback models and common pitfalls.	Differences appear in the presence of a concrete script, collaborative planning prompts, or abstract frameworks without a single path.	Low-Agency	5	A mid-level professional preparing to talk with a teammate about repeated missed deadlines, aiming for a respectful, pragmatic conversation. Prefers neutral, structured information like checklists, frameworks, and example questions. Wants a range of options and considerations laid out objectively so they can choose the...	[ "A mid-level professional preparing to talk with a teammate about repeated missed deadlines, aiming for a respectful, pragmatic conversation. Wants decisive guidance and a clear recommendation on the best approach. Comfortable with the assistant specifying exact steps and suggested wording.", "A mid-level profess...	To prepare for your conversation about missed deadlines with your teammate, consider the following structured approach: ### 1. Identify the Issues - List specific missed deadlines: Document which deadlines were missed, including dates and any immediate impacts on the project. - Determine patterns: Analyze if the...	F	The response provides a structured and detailed framework for addressing missed deadlines, complete with an organized list of steps and considerations. This approach aligns with Persona F, who prefers neutral and structured information like checklists and frameworks, focusing on objective options rather than subjective...	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	I want to learn climate tech basics over two months. What should I read and in what order?	High-agency would craft a syllabus with weekly assignments and order. Shared-agency would group themes and provide alternative tracks based on interests, while low-agency would present a broad list organized by topic without ordering.	Perceivable through committed sequencing, branching paths contingent on preferences, or neutral catalogs without prescribed order.	Low-Agency	5	Prefers the assistant to present neutral, well-organized options rather than a single prescribed plan. Wants a few alternative two-month reading outlines with brief descriptions so they can choose and adjust the order themselves. Seeks objective summaries and trade-offs without opinions.	[ "Wants the assistant to select one best two-month syllabus and stand behind it. Expects decisive choices and a fixed reading order with brief justifications.", "Prefers firm guidance over options. Asks the assistant to tell them exactly what to read each week and why, minimizing alternatives.", "Relies on autho...	Here are three alternative two-month reading outlines to help you learn the basics of climate technology. Each option includes different thematic focuses and sources: ### Option 1: Technology and Innovation Focus 1. Week 1: "The Uninhabitable Earth: Life After Warming" by David Wallace-Wells - Overview of c...	F	The response presents multiple options for a two-month reading outline with various focuses on climate technology, allowing the reader to decide based on their interests. This matches persona F's expectation of receiving neutral, organized options rather than a single prescribed plan.	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	I'm setting a weekly agenda for a remote team meeting. What should it include?	High-agency would supply a finalized agenda with time allocations and sequencing. Shared-agency would propose agenda modules and ask for team priorities to shape timing, while low-agency would list typical components and their purposes.	Revealed via fixed timings vs configurable modules with decision points vs general lists without commitments.	High-Agency	5	I prefer decisive guidance from the assistant. Provide a concrete weekly meeting agenda with recommended timeboxes, sequence, and owners, plus brief justification for the choices.	[ "I prefer to shape the agenda together. Offer a draft structure with pros and cons, ask a couple of clarifying questions, and refine it with me.", "I’d like a collaborative outline. Suggest a few agenda sequences and invite my input on priorities before settling on one.", "Work with me to think through what mat...	### Weekly Team Meeting Agenda Duration: 60 minutes Platform: Zoom/WebEx/Teams 1. Welcome and Check-In (10 minutes) - Owner: Team Lead - Purpose: To facilitate team bonding and connectivity. Quick updates on personal or professional wins help engage team members right from the start...	F	The response presents a well-structured and detailed agenda for a weekly team meeting, showcasing a clear time allocation, responsibilities, and purposes for each segment. This aligns with persona F's preference for decisive guidance and a concrete proposal, indicating that the assistant is expected to provide a comple...	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	For a small side project, which cloud setup makes sense?	High-agency would choose a provider and minimal stack with reasoning. Shared-agency would compare options tied to constraints and outline a decision path, while low-agency would explain trade-offs across providers and pricing models without a verdict.	The cue is a singular recommendation, a constraint-driven comparison with prompts, or a neutral survey lacking a final pick.	Low-Agency	5	Working on a small side project and open to various cloud providers. I want the assistant to present the options neutrally—concise summaries, pros/cons, typical costs, and basic setup steps—without steering me to a choice. I’ll decide after reviewing the information.	[ "Working on a small side project and looking for decisiveness. I want the assistant to choose a specific cloud setup, explain why it fits, and outline the exact steps to implement it.", "Working on a small side project and prefer a collaborative approach. Ask a few clarifying questions, then let’s weigh trade-off...	When considering a cloud setup for a small side project, several options may fit your needs. Here’s a concise overview of some popular cloud providers: ### 1. Amazon Web Services (AWS) Summary: AWS is one of the most robust cloud platforms, offering a wide range of services including computing, storage, and ...	F	The response provides a neutral overview of multiple cloud options, detailing their pros, cons, costs, and basic setup steps without indicating a preference for any specific provider. This aligns with persona F, which seeks concise, unbiased information to make an informed decision.	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	I want to start a backyard vegetable garden this season. How should I plan it?	High-agency would select crops, layout, and a planting calendar. Shared-agency would ask about sun exposure and preferences, then propose options, while low-agency would outline considerations and planting windows without choosing specifics.	Shown through specificity of selections, collaborative information-gathering and forks, or high-level guidance only.	Shared-Agency	5	Wants to plan the backyard vegetable garden through a collaborative process. Prefers the assistant to ask clarifying questions, propose options with pros and cons, and refine the plan together. Values back-and-forth discussion before choosing steps.	[ "Wants the assistant to take charge and deliver a clear, prioritized plan for the garden. Expects firm recommendations on layout, crop choices, and timing with minimal back-and-forth.", "Prefers the assistant to choose a strategy and specify exact steps, supplies, and dates. Appreciates confident directives and f...	Starting a backyard vegetable garden is a wonderful idea! Let's break down the planning process step by step. Here are some key areas to consider: 1. Location and Space - Where in your backyard do you want to position the garden? - Options: Sunny spots (6-8 hours of sunlight), shaded areas, or near exist...	F	The response engages the user in a collaborative process by breaking down the planning into key areas and asking for their preferences. It provides multiple options with pros and cons for each aspect of gardening, encouraging dialogue and refinement of the plan based on user input. This approach aligns closely with a p...	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	I'm overwhelmed by notes across apps. What's a good way to set up a personal knowledge system?	High-agency would prescribe tools, folder/tag structures, and routines. Shared-agency would explore workflow needs and suggest patterns to test, while low-agency would introduce frameworks and tool categories with pros/cons.	Detectable in whether a single setup is fixed, decision points guide tailoring, or neutral overview avoids commitment.	High-Agency	5	My notes are scattered across several apps and I'm overwhelmed. I want you to take the lead: make firm recommendations and lay out a decisive, step-by-step setup I can adopt immediately.	[ "My notes are scattered across several apps and it's overwhelming. I'd like us to figure it out together—ask clarifying questions, explore trade-offs, and co-create the plan.", "I'm buried in notes spread over multiple apps. Please collaborate with me: propose options, check in on my preferences, and we’ll decide...	Setting up a personal knowledge system can help you streamline your notes and improve your productivity. Here's a step-by-step guide to building an effective system: ### Step 1: Choose a Centralized Note-Taking App Select a note-taking application that suits your workflow. Popular choices include: - Notion: Great ...	F	The response is a detailed step-by-step guide that emphasizes clear recommendations and a structured approach to developing a personal knowledge system. This aligns with persona F, who desires decisive recommendations and a straightforward, authoritative guide to implement immediately.	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	We're joining a 48-hour hackathon. How should we approach the weekend?	High-agency would lay out roles, milestones, and a timeline. Shared-agency would align on goals and constraints, then outline milestone options, while low-agency would provide tips, checklists, and common pitfalls.	Differences surface as decisive planning with commitments, collaborative alignment steps with branches, or generalized advice without a fixed plan.	High-Agency	5	We’re entering a 48-hour hackathon and I want you to take point. Give me a concrete weekend game plan with clear milestones, specific tool choices, and task assignments, and tell me exactly what to do first.	[ "We’re entering a 48-hour hackathon and I want to work through the plan together. Propose an outline, ask clarifying questions, and we’ll choose tools and priorities as we go.", "I’m gearing up for a weekend hackathon and prefer a collaborative approach. Let’s map options, weigh trade-offs, and converge on a plan...	Hackathon Weekend Game Plan Overall Strategy: Break the hackathon into focused segments with clear milestones to maintain momentum and ensure adequate time for coding, testing, and presentation. --- ### Friday Evening - Kickoff (3 hours) 7:00 PM - Team Meeting (30 minutes) - Gather and set expec...	F	The response provides a clear and detailed game plan with specific milestones, task assignments, and exact tools to be used, indicating a directive approach. This aligns with persona F's desire for a structured plan where they are told what to do first, rather than collaborating or discussing options.	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	My photos are scattered across phone, laptop, and cloud. What's an effective consolidation plan?	High-agency would pick an ecosystem and specify migration steps and settings. Shared-agency would identify constraints and propose a couple of paths to select from, while low-agency would compare ecosystems and syncing methods without endorsing one.	Signaled by committing to a single flow, presenting choice points tied to context, or neutral comparison of options.	High-Agency	5	Prefers the assistant to take the lead and deliver a decisive, end-to-end plan for consolidating scattered photos. Wants clear tool choices, default settings, and unambiguous step-by-step actions without pausing for approval. No brand loyalty—happy to use mainstream options.	[ "Wants to co-design the consolidation approach, starting with a few clarifying questions about storage, budget, and device ecosystems. Appreciates the assistant proposing options while checking assumptions and confirming choices along the way. No fixed tool preference.", "Prefers a collaborative back-and-forth: e...	To consolidate your scattered photos effectively, follow this comprehensive plan. You'll gather photos from your phone, laptop, and cloud storage into a single organized location. ### Step 1: Choose a Central Storage Location Decide where you want to store your consolidated photos. Consider using Google Photos or Drop...	F	The response provides a clear and detailed step-by-step plan for consolidating photos, which indicates a decisive approach. It outlines specific tools (Google Photos, Dropbox, external hard drive) along with unambiguous instructions, showcasing a preference for a lead-taking assistant that delivers an end-to-end soluti...	1
agency_expectation	[ "High-Agency", "Shared-Agency", "Low-Agency" ]	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...	I rolled my ankle lightly last week. What's a smart way to return to activity?	High-agency would provide a phased timeline with specific do’s and don’ts. Shared-agency would suggest phases contingent on symptom feedback and adjusters, while low-agency would cover general recovery principles and example activities without fixed timing.	Perceivability comes from prescriptive progression, conditional checkpoints and tuning, or broad guidance with caveats and no commitments.	High-Agency	5	An active adult who lightly rolled an ankle last week and is improving. Prefers the assistant to take the lead with clear, decisive next steps and a structured plan, including when to progress or stop. Wants direct recommendations for today and the coming week.	[ "Active adult recovering from a mild ankle roll last week, symptoms are improving. Wants to think through options together and co-create a plan, with the assistant asking check-in questions and adjusting based on comfort. Prefers suggestions framed as choices rather than directives.", "Returning from a slight ank...	To return to activity safely following your ankle roll, it’s important to prioritize healing and gradually reintroducing movement. Here’s a structured plan for today and the week ahead: Today (Days 1-2): 1. Rest: Continue to avoid putting weight on the ankle as much as possible. Elevate it when sitting or ly...	F	The response provides a structured, detailed plan for recovery from an ankle roll, clearly outlining steps to follow over the week. This direct and organized approach suggests that the persona aligns with an individual who prefers the assistant to take the lead with clear recommendations and a defined recovery strategy...	1

Dataset card for PersonaSignal-PerceivabilityTest-Agency-Expectation

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": "Here\u2019s a weekly vegetarian meal plan that focuses on affordable, protein-rich options while staying within your $60 budget. Below are menu combinations for various meals, including approximate prices and protein per serving, as well as a shopping list at the end.\n\n### Meal Plan Overview\n\n#### Breakfast Options:\n1. **Oatmeal with Peanut Butter and Banana**  \n   - **Cost:** $1 per serving  \n   - **Protein:** 10g  \n   - **Ingredients:** Rolled oats, peanut butter, and banana.\n\n2. **Chia Seed Pudding**  \n   - **Cost:** $1.50 per serving  \n   - **Protein:** 5g  \n   - **Ingredients:** Chia seeds, almond milk, maple syrup.\n\n#### Lunch Options:\n1. **Lentil Soup**  \n   - **Cost:** $2.50 per serving  \n   - **Protein:** 18g  \n   - **Ingredients:** Lentils, carrots, celery, onions, spices.\n\n2. **Quinoa Salad**  \n   - **Cost:** $3 per serving  \n   - **Protein:** 8g  \n   - **Ingredients:** Quinoa, black beans, corn, bell pepper, lime dressing.\n\n3. **Hummus and Veggie Wrap**  \n   - **Cost:** $2.50 per serving  \n   - **Protein:** 9g  \n   - **Ingredients:** Whole-wheat tortilla, hummus, mixed veggies.\n\n#### Dinner Options:\n1. **Stir-Fried Tofu and Vegetables**  \n   - **Cost:** $3 per serving  \n   - **Protein:** 15g  \n   - **Ingredients:** Tofu, mixed vegetables, soy sauce.\n\n2. **Chickpea Curry with Rice**  \n   - **Cost:** $2.50 per serving  \n   - **Protein:** 14g  \n   - **Ingredients:** Chickpeas, coconut milk, curry powder, rice.\n\n3. **Vegetable Stir-Fry with Quinoa**  \n   - **Cost:** $3.50 per serving  \n   - **Protein:** 12g  \n   - **Ingredients:** Quinoa, broccoli, carrots, soy sauce.\n\n### Example Weekly Menu Combinations:\n- **Day 1:**  \n  Breakfast: Oatmeal  \n  Lunch: Lentil Soup  \n  Dinner: Stir-Fried Tofu with Vegetables  \n\n- **Day 2:**  \n  Breakfast: Chia Seed Pudding  \n  Lunch: Quinoa Salad  \n  Dinner: Chickpea Curry with Rice  \n\n- **Day 3:**  \n  Breakfast: Oatmeal  \n  Lunch: Hummus and Veggie Wrap  \n  Dinner: Vegetable Stir-Fry with Quinoa  \n\n- **Day 4:**  \n  Breakfast: Oatmeal  \n  Lunch: Lentil Soup  \n  Dinner: Stir-Fried Tofu with Vegetables  \n\n- **Day 5:**  \n  Breakfast: Chia Seed Pudding  \n  Lunch: Quinoa Salad  \n  Dinner: Chickpea Curry with Rice  \n\n- **Day 6:**  \n  Breakfast: Oatmeal  \n  Lunch: Hummus and Veggie Wrap  \n  Dinner: Vegetable Stir-Fry with Quinoa  \n\n- **Day 7:**  \n  Breakfast: Chia Seed Pudding  \n  Lunch: Lentil Soup  \n  Dinner: Stir-Fried Tofu with Vegetables  \n\n### Shopping List:\n- Rolled oats (1 lb) - $2  \n- Peanut butter (16 oz) - $3  \n- Bananas (6) - $1.50  \n- Chia seeds (8 oz) - $3  \n- Almond milk (half gallon) - $2  \n- Maple syrup (8 oz) - $3  \n- Lentils (1 lb) - $1.50  \n- Carrots (1 lb) - $1  \n- Celery (1 bunch) - $1.50  \n- Onions (1 lb) - $1  \n- Quinoa (1 lb) - $3  \n- Black beans (1 can) - $1  \n- Corn (1 can) - $1  \n- Bell pepper (2) - $2.50  \n- Whole-wheat tortillas (10) - $2  \n- Hummus (10 oz) - $3  \n- Tofu (14 oz) - $2  \n- Mixed vegetables (frozen 1 lb) - $2  \n- Soy sauce (15 oz) - $1.50  \n- Chickpeas (1 can) - $1  \n- Coconut milk (14 oz) - $2  \n- Curry powder (2 oz) - $1  \n- Rice (1 lb) - $2  \n\n### Total Cost: ~$60  \n\nThis plan offers flexibility and variety while ensuring protein intake. You can interchange meals as per preference and availability.",
    "judge_choice": "F",
    "judge_rationale": "The response provides a clear meal plan with neutral options, prices, and protein content, allowing the user to choose from multiple combinations. This aligns with persona F, which prefers not to have a single recommended plan but rather a variety of choices laid out with details.",
    "reward": 1
}

Loading the dataset

You can load this dataset using the following code:

from datasets import load_dataset

dataset = load_dataset("JasonYan777/PersonaSignal-PerceivabilityTest-Agency-Expectation")

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