Warrior0302/CAP-Bench huggingface dataset:
My family and I live in Dallas, Texas. We’ve heard that flu season has arrived and want to strengthen our family’s immunity through diet.

First, go to the CDC website and check the current flu activity level in Texas (Minimal/Low/Moderate/High/Very High), along with any CDC nutrition-related prevention recommendations. (If the page does not provide explicit nutrition advice, record CDC’s general flu-prevention health recommendations and cite the source.)

Then, go to WebMD and find an article about immunity-boosting foods. Extract at least 5 immunity-supporting ingredients recommended by CDC or WebMD (for example: citrus fruits, ginger, garlic, spinach).

Next, use these ingredients as keywords to search for healthy recipes on Food Network. Try to find 5 recipes, prioritizing the following criteria:
- Rating of 4 stars or above  
- Prep time within 45 minutes  
- Each recipe includes at least 2 of the extracted recommended ingredients  

If fewer than 5 recipes fully meet all criteria, keep “at least 2 recommended ingredients per recipe” as a hard requirement, and relax constraints in this order:
1) rating, then  
2) prep time.  

In the output, explicitly note for each recipe:
- its rating  
- its prep time  
- whether it meets “rating ≥ 4 stars / time ≤ 45 minutes”.

Finally, output:
- Current flu activity level in Texas  
- Summary of CDC nutrition-related prevention guidance  
- WebMD article link  
- List of 5 extracted recommended ingredients  
- For each recipe: name, rating, prep time, included recommended ingredients, and Food Network recipe detail-page link.
I am a high school history teacher preparing a lesson on the “impact of the Industrial Revolution on global living standards” (with a focus on the United Kingdom).  

First, check Wikipedia for “Industrial Revolution” and confirm its approximate start and end years, as well as its place of origin. Then go to Gapminder Tools, select the United Kingdom, and in **Trends** (line chart) mode set the y-axis to **“Income per person (GDP/capita, inflation-adjusted)”**, with time as the default x-axis. Identify the approximate year when the UK’s income per person clearly takes off from **Level 1** (about the $1,000–$2,000 range) and surpasses the **$3,000** threshold, and record the exact value for the most recent complete year.  

Next, still in Gapminder, switch the y-axis to **“Life expectancy”** and find the UK’s life expectancy values in **1850** and **1950**.  

Finally, go to Khan Academy, search for “Industrial Revolution,” and find a video or article suitable for an AP history course that includes content related to **“Social impact”** or **“Living standards.”** Confirm the name of the unit it belongs to.  

Please output: the Industrial Revolution’s start and end years, place of origin, the year the UK’s income per person in Gapminder surpassed $3,000, the UK’s income-per-person value for the most recent complete year, UK life expectancy in 1850 and 1950, the title of the selected Khan Academy content, its unit name, and links to each page.
I’m a food blogger, and for my next family gathering I want to recreate the most authentic Bolognese ragù. There are too many “modernized” versions online, so I want to trace it back to the source.

First, go to Wikipedia and look up the **“Bolognese sauce”** entry. Review its history and/or any recipe description related to the **Accademia Italiana della Cucina**, and identify two key rules about liquid ingredients:
1. Whether **milk** is required  
2. Whether the traditional wine is **red or white**

Using these two non-negotiable criteria, search **“Bolognese”** on Allrecipes. Try to find a recipe with a rating above **4.6**, more than **3,000 reviews**, and an ingredient list that strictly matches the two Wikipedia liquid-ingredient requirements.  
If no recipe meets all conditions at once, keep “ingredient list matches both Wikipedia liquid rules” as the hard requirement, then choose the one with the highest possible rating and review count, and explicitly note how far it falls short of the **4.6 / 3000** threshold.

Finally, go to YouTube and find a matching hands-on cooking video, with **over 500,000 views** and a duration of **more than 5 minutes** to ensure sufficient detail.

Output required:  
- Wikipedia-confirmed milk requirement and wine color  
- Allrecipes recipe title, rating, and review count  
- YouTube video title, view count, and duration  
- Links to each corresponding detail page
I’m researching the medicinal value of **Ginkgo** for improving cognitive function and want to conduct a complete literature review from botany to clinical application.  

First, go to the **Kew Plants database** to confirm Ginkgo’s accepted scientific name, taxonomic status, and synonyms (to avoid confusion with related species), and record the scientific name, family/genus, and native distribution.  

Then, use this scientific name to search **PubMed** for pharmacological studies on cognitive function or neuroprotection. Filter for **systematic reviews or meta-analyses** published since **2020** with **free full text**, and try to find **3 highly cited papers**. Record each paper’s title, authors, PMID, and main conclusions. If fewer than 3 are available, supplement with review articles on the same topic and indicate whether each is a systematic review/meta-analysis.  

Next, go to **Mayo Clinic** to check clinical application information for Ginkgo as an herbal supplement, including the level of evidence for cognitive improvement, as well as side effects and medication warnings.  

Finally, use **Drugs.com** to check interactions between Ginkgo and common prescription drugs (such as warfarin and aspirin), and record interactions rated **Major** or **Moderate**, along with their explanations.  

**Output required:**  
- Ginkgo scientific name, family/genus, Kew page link, and native distribution.  
- For 3 PubMed papers (or the actual number available): title, authors, PMID, publication year, main conclusions, PubMed link, and whether each is free full text and whether it is a systematic review/meta-analysis.  
- Mayo Clinic’s evidence-level assessment for Ginkgo in cognitive improvement, side-effect list, and Mayo page link.  
- From Drugs.com interaction results: drug names with Major/Moderate interactions, severity level, interaction description, and interaction page link.
I’m transitioning from indie game development to a role at a major studio and plan to apply to game companies in Seattle. First, go to LinkedIn and search for Game Programmer or Engine Engineer positions in Seattle. Filter for jobs posted within the last 30 days, full-time, and Easy Apply. Identify 5 roles whose skill requirements explicitly mention Unreal Engine or Unity, and note the company names. If login requirements prevent access to full job details, record that limitation and continue completing the remaining steps with the visible information.

Then, go to Glassdoor and check reviews and compensation for each of those 5 companies. Prioritize companies with an overall rating of 3.8 or higher, and find the salary range for the Game Programmer role (base salary, bonus, and total compensation) as well as the work-life balance rating. If ratings or salary details are not visible due to login restrictions, record “Restricted” and keep the company in scope rather than skipping it.

Next, search these 5 company names on GitHub. For each company, find the open-source project with the highest star count, and review the README to identify the tech stack they use (programming languages, engines, frameworks).

Finally, based on tech-stack keywords from those projects (e.g., Unreal Engine, C++, Multiplayer Networking), find matching high-quality courses on Udemy. Requirements: rating of at least 4.5, at least 1,000 students, and at least 6 hours of content. Review the course curriculum to confirm whether it includes hands-on projects.

Output for each company:
- Company name  
- LinkedIn job posting link  
- Job skill requirements list  
- Glassdoor overall rating  
- Work-life balance rating  
- Game Programmer salary range (base salary / bonus / total compensation)  
- Glassdoor company page link  
- GitHub open-source project name and star count  
- Project tech stack  
- GitHub project link  
- Recommended Udemy course name  
- Course rating  
- Number of students  
- Course duration  
- Number of curriculum sections  
- Udemy course link
I have a 65-year-old patient who is currently taking 7 prescription medications and 3 supplements simultaneously. The specific list includes: Prescription medications: Aspirin, Warfarin, Simvastatin, Amlodipine, Metformin, Lisinopril, Omeprazole; Supplements: St. John's Wort, Fish Oil, CoQ10. I need to conduct a comprehensive safety assessment of this medication and supplement regimen.

First, go to Drugs.com to batch-check the interactions of these 10 medications/supplements. Record all Major and Moderate level interaction combinations along with their specific risk descriptions.

Next, go to WebMD to individually verify the top 5 high-risk combinations (prioritizing by severity). Confirm if the risk level and clinical significance are consistent.

Then, search PubMed for clinical evidence regarding these high-risk combinations. Use generic drug names in combination for the search (e.g., "Warfarin AND St. John's Wort AND interaction"). Filter for clinical trials or case reports published within the last 5 years, finding at least 3 most relevant articles.

Finally, consult Mayo Clinic's medication guidelines for elderly patients, specifically focusing on special considerations and dosage adjustment recommendations for Warfarin and Simvastatin in the geriatric population.

**Output:**
(1) A list of all Major and Moderate level interactions detected by Drugs.com, including the drug combination, severity label, risk description, and a link to the Drugs.com interaction report page.
(2) The top 5 high-risk combinations verified by WebMD, including the drug combination, the risk level displayed by WebMD, whether it is consistent with Drugs.com, and a link to the WebMD interaction checker result page.
(3) Three clinical evidence articles found on PubMed, including title, author(s), publication year, journal name, PMID, link to the article details page, and key findings from the abstract.
(4) Mayo Clinic's medication recommendations for elderly patients, including specific precautions and dosage adjustment suggestions for Warfarin and Simvastatin respectively in the geriatric population, and a link to the corresponding medication page on Mayo Clinic.
My father has been diagnosed with early-onset Alzheimer’s disease, and we need to visit a neurology specialist at Mayo Clinic (Rochester campus). First, please find a neurologist on the Mayo Clinic website who specializes in “Memory Disorders” or “Alzheimer’s.” After identifying a doctor, check this doctor’s rating on US News Health to confirm they have a strong reputation.  

Finally, we need to stay in Rochester for about one month (assume check-in is on the 1st of next month). Please find 3 Airbnb listings. Because my father has limited mobility and we need to cook for ourselves, be sure to filter for properties with both “Elevator” and “Kitchen.” If fewer than 3 listings are available after applying both filters, keep the filters and report the actual number found.  

Please provide the doctor’s name, US News rating, and the names and total prices of the 3 listings (or the actual number found). Note: We will ultimately need to call the doctor’s office to schedule an appointment, so prioritize doctors whose Mayo profile shows a phone number or an “Appointments/Request appointment” entry point. If the selected doctor’s page does not display a phone number, choose another doctor in the same campus and specialty direction.
I'm currently researching science-backed weight loss methods and want to develop an actionable diet plan based on academic evidence.

First, go to Semantic Scholar and search for papers related to 'intermittent fasting'. Filter for papers published since 2023, with over 150 citations, and available with PDF. Find 3 papers, sorted by citation count in descending order. Record the paper title, publication year, citation count, and core fasting method (e.g., 16:8, 5:2, etc.).

Next, go to WebMD or Mayo Clinic and search for 'intermittent fasting'. Review the clinical recommendations and safety considerations from these medical institutions regarding these fasting methods. Confirm if the methods mentioned in the papers are recognized by mainstream medical organizations. Record the recommended fasting windows and contraindications.

Then, go to AllRecipes and search for 'high protein low calorie'. Filter recipes with a preparation time under 30 minutes and calories between 300-500 kcal. Find 3 quick recipes suitable for the fasting window.

Finally, go to Food Network and search for 'healthy dinner recipes'. Filter for recipes with a 5-star rating and under 400 kcal. Find 2 nutrient-dense dinner options. Expand the nutritional information to check if the protein content exceeds 25 grams.

**Output:**
For each paper: title, publication year, citation count, Semantic Scholar link, and extracted fasting method.
For WebMD/Mayo Clinic: a summary of clinical recommendations for the method, safety considerations, recommended fasting windows, and the medical website link.
For AllRecipes: 3 recipe names, preparation time, calories, and recipe link.
For Food Network: 2 recipe names, calories, protein content, rating, and recipe link.
I am currently preparing my final thesis on global extreme poverty (as of December 2025).

First, please visit OurWorldInData and search for 'Share of population living in extreme poverty'. On the chart page, in the table view, identify the country with the highest poverty rate in the most recent year's data, and record its name, the year, and the specific proportion.

Next, to gain a deeper understanding of the underlying economic principles, find a 'Development Economics' course on Coursera. Requirements: suitable for 'Intermediate' level, taught in English, and with a rating of 4.7 or higher. Please check the syllabus to confirm if it includes sections on 'Randomized Control Trials' (RCT) or 'Impact Evaluation'.

Finally, I plan to use R language to process this type of panel data. Go to StackOverflow and search for questions about 'ggplot2 panel data visualization', filtering for the one with the highest number of votes and an accepted answer.

Output:
*   OWID: country with the highest poverty rate, year, value;
*   Coursera: course name, rating, name(s) of chapter(s) containing RCT/Impact Evaluation;
*   SO: question title, number of votes, summary of the accepted answer;
*   and direct URLs for all three pages.
I’m planning a trip to Las Vegas from Thursday to Sunday on a weekend in the coming months. As an F1 fan, I must stay near the “Sphere,” since it is in the F1 track’s T-Mobile zone.

First, find “Sphere, Las Vegas” on Google Maps, then search for nearby hotels. Select 3 hotels, and use Google Maps route planning to verify one by one that the walking time from each hotel to the Sphere is no more than 15 minutes (including 15 minutes).

Next, check these 3 hotels on Booking.com for the corresponding Thursday check-in and Sunday check-out dates, and filter for hotels rated 4 stars or above only. If any hotel does not meet the star-rating or date requirements, replace it with another hotel that still meets the walking-distance requirement.

Finally, use Skyscanner to search for flights from New York (JFK) to Las Vegas (LAS) on the same Thursday. I need a direct flight that lands no later than 2:00 PM (14:00) so I can check in. Sort results by price from low to high.

Output: the names of the 3 hotels, walking time (minutes) measured on Google Maps, total price on Booking.com, star rating, and for Skyscanner, the cheapest qualifying flight’s flight number, departure/arrival times, price, and details-page link.

If availability is too limited for that Thursday–Sunday weekend window, search the same Thursday–Sunday pattern in a later month and indicate the actual dates used in the output.
I'm a huge Coldplay fan and I've heard they're touring in Europe in summer 2026. Please help me plan a fan trip.

First, check Coldplay's tour schedule on Spotify. Find all concerts held in the UK between June and August 2026. For each concert, note down the date, city, and venue.

Next, go to Eventbrite and search for 'After Party' or 'Music Festival' events in these cities on the respective concert dates (as post-concert entertainment). Filter for events priced under £50.

Finally, assuming I'm departing from New York (JFK), check Google Flights for one-way direct flights corresponding to these concert dates (arriving the day before the concert).

Please compile all qualifying options.

Output: Concert Date, City, Venue, Matching Eventbrite Activity Name & Price, Lowest Direct Flight Price from JFK, Spotify Tour Page Link, Eventbrite Event Page Link, Google Flights Search Result Link.
I am an independent musician who recently uploaded several electronic music tracks on SoundCloud, and I'd like to explore their commercial potential. Could you first help me search on SoundCloud for electronic music of a similar style to identify tracks with high play counts and understand what level of engagement is considered popular? Then, on Spotify, find a few independent artists who produce similar music to see their monthly listener numbers and get a sense of the potential market size. Next, help me search on Etsy for music-related merchandise being sold, such as vinyl records, limited edition posters, etc. Examine their price ranges and sales figures to assess the feasibility of creating physical merchandise. Finally, on Coursera, look for courses related to music marketing or copyright, specifically those with high ratings and strong practical applicability. I want to systematically learn how to promote and protect my work.
I am considering investing in a single-family home in Seattle for long-term rental.

First, search on Zillow for single-family homes for sale in Seattle, priced between $400,000 and $600,000. Filter for 3 eligible properties and record each property's address, asking price, square footage, Zestimate valuation, and corresponding ZIP code. Then, view the price history chart for each property and record the price change trend over the past 5 years (starting price, current price, and percentage change/gain/loss).

Next, use the QuickFacts tool on Census.gov to retrieve demographic data for the communities corresponding to these 3 ZIP codes. Focus on median household income, population count, and educational attainment (percentage of residents with a bachelor's degree or higher). Afterward, visit EPA.gov to check the air quality for these 3 ZIP codes. Record the current AQI index and its rating (e.g., Good/Moderate/Unhealthy for Sensitive Groups, etc.).

Finally, go to Gapminder Tools to examine the economic development trends of the Seattle metropolitan area over the past 10 years. Switch to the 'Trends' line chart, select Washington state, and view the historical change curves for GDP per capita and life expectancy. Record the values for 2015 and 2024 for comparison.

**Output:**
*   For each property: address, asking price, square footage, Zestimate valuation, ZIP code, and Zillow detail page link;
*   For each property: 5-year price history (starting price, current price, percentage change/gain/loss);
*   For each ZIP code community: median household income, population count, percentage of residents with a bachelor's degree or higher, and Census.gov search results page link;
*   For each ZIP code: current AQI index, air quality rating, and EPA.gov search results page link;
*   For Washington state: GDP per capita and life expectancy values for 2015 and 2024, and Gapminder chart link.

Finally, based on all the data above, recommend the single best property for investment and explain the reasoning (comprehensively considering property appreciation potential, community income level, educational attainment, air quality, and regional economic growth trends).
As a book club organizer, I'm planning a book club meeting next week in downtown Chicago with a 'Lighthearted' theme. First, go to TheStoryGraph and help me select a highly-rated book (4.0 or above) that has both 'Lighthearted' and 'Funny' mood tags and is no more than 350 pages. Please check the tag statistics on the detail page to confirm that at least 70% of readers agree with these two moods.

Once you have the book title, use Google Maps to find 'The Book Cellar' bookstore near Chicago's River North area (assuming this is where we'll buy the books). Using it as a central point, find a restaurant within walking distance that has an OpenTable rating of 4.5 or higher. It must have 'Outdoor Seating', as the weather is expected to be good. Finally, confirm if this restaurant is '$$' (mid-range) priced, and if a table for 4 can be reserved for next Saturday at 6 PM.
I am currently preparing a presentation for a course on ancient Greek art and would like to compile a systematic collection of study materials.

First, go to the Getty Museum website and find 5 ancient Greek artworks from the 5th-4th century BCE (Classical period). These artworks must have Open Content high-resolution images available for download. For each artwork, record its name, date, material, and accession number.

Next, using the information from these 5 artworks, search Google Scholar for relevant academic papers. Find 3 English-language papers that have been cited more than 50 times and published after 2015. These papers should discuss either the artistic style of the Classical Greek period or the types of artifacts (e.g., pottery, sculpture) represented by the selected artworks.

Finally, go to Our World in Data and find charts related to population or urbanization during the ancient Greek civilization period (800-300 BCE). Use the timeline feature to observe development trends during this era, which will help me understand the socio-economic background behind the artistic prosperity.

**Output:**

*   For each Getty artwork: Name, Date, Material, Accession Number, and the link to its Getty detail page.
*   For the 3 academic papers: Title, Author(s), Journal, Publication Year, Citation Count, and the Google Scholar link.
*   For Our World in Data: The title of the relevant chart(s), a data summary (e.g., peak year and value), and the chart link.