Warrior0302/CAP-Bench huggingface dataset:
As a huge fan of 'The White Lotus', I'm planning a spring trip to Sicily. First, please go to IMDb to find information on the filming locations for Season 2 and identify the real name and exact town of the iconic seaside hotel featured in the show. Next, locate this hotel on Google Maps. To ensure proximity to a key attraction, calculate the walking time from this hotel to the famous local landmark, 'Teatro Antico di Taormina' (Ancient Greek Theater). Finally, since the original hotel is too expensive, I'd like to find more affordable alternatives on Airbnb. Search for accommodations in the same town, with the following filters: price per night between $200 and $400, a rating of 4.8 or higher, and 'Kitchen' facilities are a must. Please find 3 listings that are within a 15-minute walk of the original hotel (you'll need to verify the distance using Airbnb maps or Google Maps).

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**Output Requirements:**

1.  Real name of the hotel from the show and its town.
2.  Google Maps walking time from the hotel to the Ancient Greek Theater.
3.  For each of the 3 selected listings: Name, Price per night, Rating, whether it includes a kitchen, and the Airbnb listing URL.
4.  For each listing, state its walking time to the original hotel (verify it's within 15 minutes).
I want to prepare some immunity-boosting winter recipes for my family. First, please go to the CDC website to check California's current influenza activity level (Low/Moderate/High/Very High). Then, search 'boost immune system foods winter' on Healthline or WebMD to identify recommended immunity-boosting ingredients (e.g., foods rich in Vitamin C, zinc, probiotics). List at least 5 recommended ingredients. Next, go to the EWG website and search for each of these ingredients individually (e.g., oranges, ginger, garlic, yogurt). Check their Skin Deep safety scores, retaining only low-risk ingredients with a score of 3 or below. Then, check San Francisco's weather forecast for this week on AccuWeather. If the minimum temperature is below 10°C for more than 3 days, prioritize hot soup recipes; otherwise, consider salads or room-temperature dishes. Finally, go to AllRecipes or Food Network and search for recipes using the filtered safe ingredients as keywords (e.g., search 'ginger+garlic+chicken'). Filter for 3-5 suitable recipes (rating 4 stars or higher, cooking time within 60 minutes). Record the recipe name, rating, cooking time, and main ingredients required.

Output: California's current influenza activity level, CDC query page link, 5 recommended immunity-boosting ingredients and their EWG scores, EWG page links for each ingredient, San Francisco's weekly count of days with minimum temperatures below 10°C, AccuWeather weather page link, recommended recipe type based on weather (hot soup/salad/room-temperature dish), names, ratings, cooking times, main ingredient lists, and recipe detail page links for 3-5 recipes.
As a club scout, with the summer transfer window approaching, I need you to find 8 potential midfielder candidates on Transfermarkt that meet specific criteria:
*   Under 25 years old
*   Market value between €3M and €5M
*   Contract expiring before June 2026
*   Position: Midfielder

After identifying suitable players, navigate to each player's profile page one by one:
1.  Record their basic information.
2.  Examine the market value history curve to determine their value trend.
3.  Check national team statistics to confirm at least 5 international caps.
4.  Switch to the 'Transfer Rumours' tab to check for popular rumours and the community-assessed transfer probability.

Then, visit the official website of each player's current club to find their detailed appearance data for the current season, confirming that their playing time is at least 1000 minutes.

Finally, return to Transfermarkt, sort the players by market value from lowest to highest, and select the top 5 players with the best value-for-money.

For each selected player, output the following:
*   Name
*   Age
*   Nationality
*   Current Club
*   Market Value
*   Contract Expiry Date
*   Market Value Trend (Rising/Stable/Declining)
*   National Team Appearances
*   Current Season Playing Time
*   Goals
*   Assists
*   Transfer Rumours (Yes/No) and Probability
*   Transfermarkt Player Profile Link
*   Club Official Website Data Source Link
I am creating a 2025 annual review video focusing on the differences between The Last of Us game and its TV adaptation. Please help me gather core materials:

First, go to **IGN** and search for "The Last of Us Part I". Find the review article specifically for the **PS5 version**. Confirm if this review received an "Editor's Choice" tag (or a score of 9 or higher), and note down the reviewer's name.

Next, go to **IMDb** and search for "The Last of Us" (TV Series). In the cast and crew list, locate the actor who plays "Joel". Click on their profile page and check the "Known For" section, then record the title of their top-listed representative work. Simultaneously, return to the series' main page, expand the "Storyline" section to view "Taglines", and record the first tagline listed.

Finally, go to **Metacritic** and search for "The Last of Us Part I" (PlayStation 5) and "The Last of Us" (TV Show Season 1) separately. We need to compare the audience reception for both, so please record the **User Score** for each.

**Output:** IGN Score, IGN Reviewer Name, Whether 'Editor's Choice' was awarded, Name of the actor playing Joel, Actor's top representative work, First tagline of the TV series, Metacritic Game User Score, Metacritic TV Series User Score, and the detailed page links used for each step.
I want to reproduce a high-quality paper on Image Inpainting.

First, please search Semantic Scholar for me. Find conference papers on 'Image Inpainting' published between 2020 and 2023. Sort them by citation count (descending) and identify the most cited paper. Tell me its title and the number of citations.

Next, find the corresponding GitHub repository for this paper. I'd like to know its approximate star count and if it's a popular project with thousands of stars.

Finally, to build a foundational understanding, please find the highest-rated course related to GANs (Generative Adversarial Networks) on Coursera. Provide me with the course name and its rating. Ideally, I'd prefer an 'Advanced' level course; if no 'Advanced' options are available, then an 'Intermediate' one will suffice.
I recently came across a highly-rated classic film on Letterboxd and am interested in knowing if its Criterion restoration is worth purchasing for my collection.

First, please search for 'Seven Samurai' on Letterboxd. Record its community average rating, the number of ratings, and identify the top 3 most-liked reviews sorted by 'Popular'. For each of these reviews, extract the author, the number of likes, and a summary of the comment (first 100 words).

Next, go to the official Criterion website and search for the film. View the restoration details and record the available format options (DVD/Blu-ray/4K), the price for each format, and the Spine number. Expand 'Special Features' to view the complete list of special supplements (e.g., audio commentaries, documentaries, interviews), and record the Aspect Ratio, Audio Format, and Subtitle Languages from the 'Technical Information' section.

Then, search for the film on IMDb, navigate to its detail page, click to switch to the 'Technical Specs' tab, and extract the Runtime, Aspect Ratio, and Sound Mix.

Afterward, search for the film on Metacritic and Rotten Tomatoes separately. Record Metacritic's Metascore and the number of reviews, as well as Rotten Tomatoes' Tomatometer percentage, the number of reviews, and whether it has a 'Certified Fresh' indicator.

Finally, on YouTube, search for 'Seven Samurai 4K restoration comparison'. Sort the results by view count, filter for videos with over 50,000 views, and identify the video with the highest view count among them. Record its video title, channel name, and view count.

Please summarize and output the following: Letterboxd rating, number of ratings, 3 most-liked reviews (author/likes/summary) along with their respective links, Criterion format prices and Spine number, special supplements list, technical specifications (aspect ratio/audio/subtitles) and the Criterion detail page link, IMDb runtime and technical specifications, Metacritic Metascore and number of reviews, Rotten Tomatoes score and 'Certified Fresh' status, and YouTube comparison video title/channel name/view count along with its link.
I’m new to camping and plan to go to Austin, TX next March for a music festival. First, go to Eventbrite and find a music-related event taking place in mid-March (between the 10th and 20th), and note the exact date. Then go to AccuWeather, open Austin’s **Monthly** forecast for the corresponding month, and check the forecast **Low** temperature and whether rain is expected (Rain/Showers icon or text) for the dates you selected. If forecast data for that month is not currently available, use the nearest visible month data on that page (e.g., **Hist. Avg**) and explicitly note this in the output.  

Finally, go to Amazon to choose gear: based on the lowest temperature you found, pick a sleeping bag with a **Temperature Rating** at least **10°F lower** than that low (e.g., if the low is 40°F, choose 30°F or lower). If rain is forecast for those days, find a tent with **“Waterproof”** in the title; otherwise, find one with **“Ventilated.”** Both items must have ratings above **4.5 stars**.  

Output required: event name, event date, AccuWeather low temperature and weather condition, selected sleeping bag name/temperature rating/rating, selected tent name/key feature/rating, and the detail-page links from all three websites.
I am planning a trip from New York to Paris for an upcoming month and I am looking for an economical flight option with a comfortable layover experience.

First, use Google Flights to search for connecting flights from New York to Paris (allowing one layover). Set the layover duration between 3 and 8 hours. Identify the 3 cheapest options, noting the flight numbers, layover airport, layover duration, and price.

Then, go to Skyscanner and input the same flight route and dates to verify the prices of these 3 options. If Skyscanner offers a cheaper equivalent option, also record it.

Next, for each layover airport involved in these options (e.g., Frankfurt, Amsterdam, London Heathrow), search Google Maps to view the terminal layout. Determine if a terminal change is required for the transfer and estimate the walking distance.

Then, use Yelp to search for restaurants within each airport (using the search query 'airport name + restaurant'). Filter for restaurants with a rating of 4 stars or higher and located in the post-security area. Recommend 2 restaurants for each airport.

Finally, use TripAdvisor to search for lounges in each airport (using the search query 'airport name + lounge'). Check ratings, user reviews, and access policies (Priority Pass, credit card benefits, or paid access). Recommend 1-2 of the best-reviewed lounges for each airport.

Output for each flight option: flight number, layover airport name, layover duration, Google Flights price, Skyscanner price comparison result, whether a terminal change is required and estimated walking distance, recommended restaurant names and Yelp ratings, recommended lounge names and TripAdvisor ratings and access methods, and links to detail pages on each platform.
I plan to invest in a rental property in Austin, Texas, targeting families with children.

First, search for active listings in Austin on Redfin. Filter for single-family homes or townhouses with 2-3 bedrooms, priced between $250,000 and $400,000. Identify 5 properties that meet these criteria.

For each of these properties, visit GreatSchools (school district information is available on the Redfin detail page) to check the elementary school rating for its corresponding school district. Retain only properties with a school rating of 8 or higher.

Next, use Google Maps to calculate the driving commute time from these properties to downtown Austin (e.g., Texas State Capitol). Filter out properties with a commute time exceeding 30 minutes.

Finally, on Yelp, find the number of restaurants, supermarkets, and parks within 1 mile of each property. Count the number of facilities with a rating of 4 stars or higher.

For each final retained property, output the following information: Redfin listing link, address, asking price, number of bedrooms/bathrooms, property type, corresponding elementary school name, elementary school rating, GreatSchools link (if available on Redfin page), driving time to downtown, Google Maps route link, number of 4-star-and-above restaurants within 1 mile, number of supermarkets within 1 mile, number of parks within 1 mile, and Yelp search results page link.

If the total number of surrounding amenities (restaurants, supermarkets, parks) for a property is less than 10, state the reason and proceed to process other properties.
I’m planning to relocate to Portland for work next spring, with a budget of **$2,000–$2,500** for a **1-bed, 1-bath apartment**, and I’m especially concerned about environmental health risks.

First, use Apartments.com to find **5 apartments** that match the budget and have a rating of **4.0 or higher**, and record their addresses and ZIP codes.

Then, use the **EPA Safe Drinking Water Information System (SDWIS)** to look up, for each address:
- the corresponding water system name,
- the number of violations in the past 3 years,
- and the date of the most recent inspection.

Next, go to Yelp and search for community reviews within **1 mile** of each apartment address. Try to find resident reviews mentioning **“noise,” “air quality,” or “safety,”** with a target of **at least 3 reviews per apartment**. If fewer than 3 are available, keep what you find and note the actual count.

Finally, use Google Maps to measure, for each apartment, the straight-line distance to:
- **Portland International Airport (PDX)**, and
- the nearest entrance to **I-5**.

Output the following for each apartment:
- Apartments.com link  
- Address  
- Monthly rent  
- Rating  
- Water system name  
- Number of violations in the past 3 years  
- Most recent inspection date  
- EPA SDWIS link  
- Yelp community review summary (key points from relevant reviews, and the actual number of reviews collected for that apartment)  
- Distance to airport  
- Distance to highway entrance  
- Google Maps distance-measurement screenshot link  

At the end, recommend the **2 apartments with the lowest overall risk** and explain why.

If you encounter login requirements or access restrictions on any site, record the restricted page(s) and the fields that could not be retrieved, then continue with all remaining accessible steps.
I’m a programmer planning to move to Austin, TX next month, and I want to do tech livestreaming in my spare time. I need to benchmark against top streamers’ setups and estimate my housing budget. Please complete the following steps:

1. Go to **Twitch** under the **“Software and Game Development”** category and find the stream with the highest current **Viewers** count. Enter the channel and open its **“About”** page (you may need to switch tabs or scroll down). In the panels, find the specific models listed for **Microphone** and **Monitor**. If that streamer does not list both items, move to the next channel with the second-highest viewers, and continue until both are found.
2. Go to **Best Buy** and search for those two devices. Requirements: filter for products with **Customer Rating 4.5 stars or above**, and that are **in stock in the Austin, TX area** (either **Pick Up** or **Shipping** available).
3. Finally, go to **Zillow** and find rental listings in downtown Austin (**ZIP 78701**). Requirements: rent **$2500–$4500/month**, at least **2 bedrooms (Beds: 2+)**, and prioritize listings that explicitly mention an **“Office”** or **“Study”** space in **Facts and features** or the listing description for equipment placement. Try to provide 3 matching listings; if fewer than 3 are available, return all that can be found and state the total count.

Output: the reference streamer ID, microphone model, monitor model, current Best Buy prices for both devices, and for 3 listings: address, monthly rent, original text describing Office/Study, plus the detail-page links corresponding to each step.
My baby’s eczema has flared up recently, and I want to buy an absolutely safe moisturizer—specifically one without steroids. Please help me run a cross-platform screening process:

First, on Amazon, search for **“Baby Eczema Cream”** and use filters to find products with a rating above **4.5 stars** and a price of **$25 or less**. Pay special attention to products that explicitly list **“Colloidal Oatmeal”** as an ingredient. Try to identify **5 candidate products** (if fewer than 5 meet the criteria, record however many qualify and note the count).

Then, go to **EWG.org** and search these 5 products one by one. Keep only products with an **EWG rating of 1–2** (green safety zone). If a product cannot be found on EWG, mark it as **“Not listed in EWG”** and continue checking the others. If fewer than 5 products ultimately meet the EWG 1–2 criterion, output all qualifying items and note the count.

Finally, go to **WebMD** and look up **“Colloidal Oatmeal”** to find its **“Side Effects”** section. If there is no standalone entry, find relevant eczema/skincare pages on WebMD that mention side effects of this ingredient and cite the source page.

Please output the final recommended products that meet EWG safety standards, including: **product name, Amazon price, EWG rating, a brief WebMD side-effects summary, and links to the Amazon and EWG detail pages**.

If you encounter login requirements or access restrictions on any site, record the limitation and complete the remaining steps within accessible scope.
I’m planning a family trip to Seattle, WA, but my child has severe pollen allergies, so we need to be extremely cautious. Please help me design a safe lodging plan.

First, go to U.S. News Health and find all hospitals in the Seattle, WA area with strong ratings in the “Pediatrics” specialty. From those, select 2 hospitals that are either ranked in the top 50 nationally for Pediatrics (Ranked) or rated “High Performing.”

Then, mark these 2 hospitals on Google Maps and measure each hospital’s driving distance to the Space Needle. Choose the hospital closer to the Space Needle as the safety anchor.

Using that anchor hospital as the center point, find a hotel on Google Maps that is within a 10-minute drive from the hospital and has a rating above 4.0 stars.

Finally, go to TripAdvisor to confirm whether the hotel lists “Air conditioning” as an available amenity (important for pollen control), and identify 2 nearby “Indoor” attractions (Museums or Galleries) suitable for avoiding pollen exposure.

If a TripAdvisor login/sign-up wall blocks access to full amenities or attraction details, document that access limitation and continue completing the remaining steps using visible information (prioritizing TripAdvisor’s publicly visible hotel amenity summary and attraction category pages).

Output:
- Names of the two selected pediatric hospitals and their Pediatrics rating status  
- Distance from the anchor hospital to the Space Needle  
- Selected hotel name, Google Maps rating, and driving time to the anchor hospital  
- Whether TripAdvisor shows air conditioning at the hotel, plus names and categories of two recommended indoor attractions  
- Detail-page links for all relevant locations
I am planning to attend the 2026 F1 Singapore Grand Prix in person and need a budget plan covering flights and accommodation.

First, go to **ESPN** to confirm the exact date of the 2026 F1 Singapore Grand Prix Sunday Race.

Once the date is obtained, go to **Skyscanner** to search for flights from London (LHR) to Singapore. Set the travel dates as 'arrival on Thursday, departure the following Monday' (based on the race week). Filter for the cheapest flight with no more than 1 layover.

Next, use **Google Maps** to address accommodation. Search for 'hostels' near the 'Marina Bay Street Circuit' and identify three hostels with a rating of 4.0 or higher.

Finally, use the map's route planning function to calculate the walking time from each of these three hostels to 'Singapore Flyer' (a nearby landmark).

**Output:** The date of the 2026 F1 Singapore Grand Prix Sunday Race, the airline/price/number of layovers for the preferred Skyscanner flight, the names/ratings/walking times for the three chosen hostels, the link to the Skyscanner search results page, and a link to one of the Google Maps routes.
I’m moving to Austin, Texas for work in January next year, and my company is located on Congress Avenue downtown. My monthly rent budget is $1,200–$1,800, and I’m looking for a one-bedroom apartment. First, please find up to 5 apartments on Apartments.com that match the budget and unit type, and record each property’s community address and ZIP code. If fewer than 5 listings are available after filtering, record all available listings and note the actual count.

Then, use the EPA’s **How’s My Waterway** tool to check water quality conditions for those communities, determine whether nearby water bodies have pollution issues, and record each community’s water quality status (**Good / Impaired / Insufficient Data**) and primary pollution sources (if any).

Next, go to Data.gov and search for Texas crime statistics datasets, prioritizing datasets that include crime rates by ZIP code for the Austin area. Download the dataset in CSV format and identify the crime rate (crimes per 1,000 people) for the ZIP codes corresponding to these communities. If you cannot find data covering all ZIP codes, first record the ZIP codes and crime rates that can be matched, and clearly mark unmatched ZIP codes in the results.

Finally, output a comparison table including: **Apartment Name, Community Address, ZIP Code, Monthly Rent, Apartments.com Link, Water Quality Status, Primary Pollution Source (if any), EPA Query Link, Crime Rate (per 1,000 people), Data.gov Dataset Link**.

Based on comparable samples, recommend the 2 communities with the **lowest crime rates and good water quality**, and explain the reasons. If fewer than 2 communities meet both criteria, recommend according to the rule **“good water quality first, lower crime rate second”** and explain why there is a shortfall.
I’m taking the SQL course on Khan Academy.  
First, check the course page for any recommended learning resources and tools, and note down any **recommended books** (if there are no explicit book recommendations on the course page, clearly record **“No explicit book recommendations found”** and continue with the next steps).

Then, go to Amazon and look up those books, checking their **prices** and **ratings**. Record the book(s) with the **best reviews** and priced **at or below $50** (if none meet both criteria, record the closest candidates and specify which criteria are not met).

In addition, I want some companion SQL hands-on projects for practice. Go to GitHub and search for **“SQL practice projects”**, sort by **stars**, and review the top results across the first few pages to find beginner-friendly projects. Open each project and check the README to confirm it includes a **complete tutorial** and a **practice dataset**.

Finally, compile a checklist for me, including the **books worth buying** and **recommended practice project links**.