Warrior0302/CAP-Bench huggingface dataset:
I'm planning a 'record store road trip' on the US West Coast in Spring 2026, following the route of Los Angeles → San Francisco → Portland to dig for vinyl records. I mainly collect jazz and rock records and prefer not to drive more than 400 miles per day.

First, use Yelp to find 3-5 independent record stores in each of Los Angeles, San Francisco, and Portland, specializing in vinyl records with a rating of 4.5 or higher. For each store, note its name, address, rating, and operating hours. Additionally, review the comments to identify any mentioned stylistic characteristics or specialties.

Next, use Google Maps to plan the driving routes from Los Angeles to San Francisco and from San Francisco to Portland, ensuring each leg is within 400 miles. Within each city, mark the locations of the identified record stores and optimize the visiting order, taking into account operating hours and distances between stores.

Afterward, search on Airbnb for accommodation. Find one listing in San Francisco and one in Portland. Each should have a rating of 4.2 or higher, be located near a concentration of record stores, be available for booking on the travel dates, and cost no more than $150 per night.

Finally, search Discogs using the names of these record stores to identify which ones have a seller page where online inventory can be previewed.

**Output:**

*   For each record store: name, address, Yelp rating, operating hours, specialty categories mentioned in Yelp reviews, and a link to its Yelp business page.
*   For the Los Angeles → San Francisco and San Francisco → Portland routes: driving distance and estimated time, and a Google Maps route link.
*   For multi-store visits within each city: a description of the optimized visiting order and a saved Google Maps route.
*   For each Airbnb listing in San Francisco and Portland: name, price, address, rating, and Airbnb listing link.
*   A list of record stores with a Discogs Seller page, along with their Discogs store links.
As a book, film, and music enthusiast, I am currently completing my collection of original source materials for Oscar-winning films. Please help me compile information on the winning works for the Best Adapted Screenplay award at the 95th (2023), 96th (2024), and 97th (2025) Academy Awards.

First, on IMDb, identify the winning films for these three years, along with their original book titles and authors.

Next, search for the English original editions of these three books on Amazon. Filter for hardcover versions with a rating of 4.5 stars or higher, and record their prices.

Finally, for collection value, for the original book of the 2025 winning film, check eBay for "First Edition" copies available for sale. Filter by "Buy It Now" mode to find the lowest-priced one.

Output: Year, Film Title, Original Book Title, Author, Amazon Hardcover Price, Amazon Rating, eBay Lowest First Edition Price (for 2025 winner only), and direct links to each product detail page.
I’m a food vlog creator planning to film a “One-Day Michelin Hunt” episode in Manhattan, New York on a Saturday next month. I need you to help plan that day’s itinerary by finding 3 Michelin-recognized restaurants: one for Lunch, one for Afternoon Tea/Light Meal, and one for Dinner.

Requirements:
1. All restaurants must be in Manhattan, and preferably all have Yelp ratings of 4.5 or higher (including 4.5).
2. First, check OpenTable to confirm whether each restaurant is labeled as Michelin Starred or Bib Gourmand.
3. Then verify ratings on Yelp and check operating hours to ensure all are open on that Saturday and that times do not conflict (assume Lunch 12:00–14:00, Afternoon Tea 15:30–16:30, Dinner 18:30–20:30).
4. Finally, based on the three restaurants’ locations, use Google Maps to plan an efficient route (minimizing total travel distance as much as possible).

Additional execution rules:
- Prioritize Michelin recognition and time-slot availability first, then aim to satisfy Yelp 4.5+.
- If no restaurant in a given time slot can meet both Michelin recognition and Yelp 4.5+, relax that slot to Yelp 4.0+ and clearly indicate in the output which slot was relaxed and the restaurant’s actual rating.
- If no reservable/verifiable information is available for that Saturday next month, check the nearest upcoming Saturday with visible availability and note it.

Output: In chronological order, provide the 3 restaurant names, addresses, Michelin designation (Starred/Bib Gourmand), Yelp rating, Saturday business hours, and Yelp detail page links; plus Google Maps walking distance and time between each pair of consecutive stops. Also include for each restaurant: “Meets Yelp 4.5+ (Yes/No).”
I am a movie disc collector interested in purchasing some recently released 4K restorations from the Criterion Collection.

First, visit the official Criterion website to identify 4K Blu-ray discs that have been newly released in recent months (e.g., the last 3-6 months). From these, select 5 titles that interest me (prioritizing drama or art house films). For each selected title, record the film title, Spine Number, official website price, and special features content (e.g., audio commentaries, documentaries, interviews).

Next, use the Spine Number or film title to search for these 5 discs on Amazon. Check the new item price, if used copies are available, and whether Prime members qualify for free shipping.

Finally, search for the same 5 discs on eBay. Filter for 'Buy It Now' listings (exclude auctions). For each, determine the prices for 'New' and 'Like New' conditions, assess the seller's rating, and note the shipping cost.

The final output should include, for each disc: Film Title, Spine Number, Criterion official website price, list of special features from the official website, Amazon new item price, Amazon used item price (if available), Prime free shipping eligibility, eBay lowest price for 'New' condition, eBay lowest price for 'Like New' condition, seller rating for the corresponding eBay listing, shipping cost details, and the direct links to the Criterion product page, Amazon product page, and eBay product page.
I am considering purchasing a property in the **77012 ZIP code area of Houston, TX**, and would like to conduct an in-depth environmental and community background check.

First, use **Google Maps** to confirm the general location of this ZIP code area. Identify and list the names of three prominent industrial or chemical-related facilities (e.g., oil refineries, chemical plants, or large warehouses) located within or immediately adjacent to this area.

Next, visit the **EPA ECHO** website. For each of these three facilities, research their compliance records. Specifically look for "Significant Non-Compliance" incidents or formal enforcement actions within the last three years. Record their latest compliance status.

Finally, go to **Census QuickFacts** to retrieve the latest census data for Houston City, Texas, and Harris County, Texas (where the 77012 ZIP code is located). Compare the "Persons in poverty, percent" and "Percentage of persons with a bachelor's degree or higher" for both.

**Output:** The names of the three facilities, their Google Maps location links, their EPA compliance status (indicating "Significant Non-Compliance" if applicable), and the date of their latest compliance assessment. Additionally, provide comparative data for Harris County and Houston City regarding the poverty rate and the percentage of residents with a bachelor's degree or higher. If a specific facility's records cannot be found on EPA ECHO, please state the reason.
I’m researching graphics rendering optimization techniques. First, search arXiv for papers related to **“real-time rendering optimization”** or **“game graphics acceleration.”** Find 3 papers published since 2024 with more than 10 citations, and record each paper’s title, authors, arXiv ID, and publication date.

Then, for each of the 3 papers in sequence: open the paper detail page and read the full abstract. Verify whether the paper mentions a specific game engine or commercial game application case. If the abstract mentions a game title, record it. If not, search Steam using the paper’s core technical term (extracted from the title, such as “ray tracing,” “DLSS,” “mesh shading,” etc.), and prioritize one game whose store-page technical description or tags explicitly mention that technology. If no result explicitly mentions the technology, select the game with the highest technical relevance and note the matching basis (e.g., relevant wording in tags, genre, or description).

Finally, check GameSpot for professional reviews of these games, focusing on comments about graphics performance and frame-rate behavior. If a game has no GameSpot review, move to the next candidate game from your Steam results under the same technical term until a usable review is found. If none can be found, explicitly record: **“No GameSpot reviews are currently available for games retrieved under this technical direction.”**

Output required: for each paper, provide title, authors, arXiv ID, publication date, citation count, paper detail-page link, and core technical term(s) from the abstract; and for the corresponding game, provide game title, Steam link, GameSpot score, a concise summary of GameSpot’s graphics-performance commentary, and the GameSpot review link.
I'm a huge Lakers fan and plan to attend an away game in February 2026. Please check the Los Angeles Lakers' 2025-26 season schedule on Basketball-Reference.com to find their first away game in February. Once the opponent and arena are identified, locate the arena on Google Maps. Then, find a hotel within a 15-minute walking distance (approximately 0.8 miles) of the arena with a rating of 4.0 or higher. After confirming the hotel's location, use maps or search engines to find the arena's official website. Review their audience entry and security regulations, specifically focusing on backpack size restrictions. Finally, provide me with the game date, opponent, arena name, the selected hotel's name and rating, the precise walking time from the hotel to the arena, and the detailed backpack security policy of the arena.
I’m a San Francisco 49ers fan and plan to attend two home games in person this coming NFL regular season in December. First, check ESPN for the 49ers’ schedule for that season, identify two December home games at Levi’s Stadium, and record each game’s date and opponent. For the first game, use Google Maps to plan a driving route from San Francisco International Airport (SFO) to Levi’s Stadium and confirm the estimated driving time under smooth traffic conditions. Finally, search on Airbnb for accommodations near the stadium (Santa Clara area): set check-in to the day before the first game and check-out to the day after the game (2 nights total), apply a price filter of USD 150–400 per night, and select the “Wi-Fi” amenity. Find 3 listings tagged as “Guest Favorite.” If there are fewer than two home games in December for that season, supplement with the nearest home game(s) in November or January, while keeping all subsequent steps unchanged. Output: the dates and opponents of the two games, driving time from SFO to the stadium, and for 3 recommended listings, the name, nightly price, whether it is a Guest Favorite, and the Airbnb detail page link.
I’m writing the literature review for my master’s thesis on “the digital divide and educational inequality,” and I need to trace the scholarly evolution of the core concepts.

First, go to Semantic Scholar and search for “digital divide education inequality.” Try to find 3 high-impact papers published since 2020 with more than 100 citations. If only 1–2 papers meet the criteria, keep the actual number found and explicitly note the final count in the results.

For the first paper, open its detail page and check the citation analysis. Identify 2 Highly Influential Citations as upstream papers in the core citation chain. If fewer than 2 are available, supplement with regular citations and clearly label which are highly influential and which are regular.

Then go to Our World in Data and search for data related to “digital divide” and “education inequality.” Filter for education or technology themes, find 1 chart showing global or regional data, and review the data source notes.

Finally, go to Open Library and search for the classic book “The Digital Divide.” Find the first edition or the most influential edition, then check its detailed publication information and subject tags.

Output:
- For each Semantic Scholar paper: title, authors, publication year, citation count, TLDR summary, paper link  
- For the cited papers: title, citation type (background/method/results), paper link  
- For the Our World in Data chart: chart title, data time range, summary of data source notes, chart link  
- For the Open Library book: title, first publication year, publisher, page count, ISBN, list of subject tags, book link
I am conducting research in computer vision and intend to reproduce recent popular image segmentation models.

Help me find 3 image segmentation-related papers published on arXiv since 2024. Requirements: each paper must have at least 50 citations and an available PDF download. Record the paper title, authors, publication year, citation count, and arXiv link for each.

Next, use each paper's title or the main author's name to search for the corresponding official code implementation on GitHub. Filter repositories with over 500 stars. Record the repository name, star count, last updated date, and GitHub link.

Then, use the paper title to search for relevant technical discussions on Stack Overflow. Find at least 2 highly upvoted question threads. Identify common issues encountered during reproduction (e.g., environment setup, dependency conflicts, pre-trained weight loading) and extract the problem descriptions and key takeaways from the highly upvoted answers.

Finally, search for the titles of these papers or model names on Bilibili. Find in-depth explanation videos with over 10,000 views and a duration of more than 15 minutes. Record the video title, uploader, view count, duration, and Bilibili link.

For each paper, output a complete resource package including: paper title, authors, publication year, citation count, arXiv link, GitHub repository name, star count, last updated date, GitHub link, Stack Overflow relevant question links and a summary of key issues/solutions (at least 2 questions), Bilibili explanation video title, uploader, view count, duration, and Bilibili link.
I just moved into a new apartment and need to purchase a living room set: a sofa, a coffee table, and a bookshelf. My total budget is under $800. I want to compare prices across IKEA, Target, and Amazon to find the most cost-effective combination.

First, go to IKEA and search for these three furniture categories. For each category, find 3 items with a rating of 4 stars or higher, sorted by price from low to high. Record the product name, price, and rating. Also, check the stock status for my ZIP code (assume 10001).

Then, go to Target and search for the same three categories. Again, for each category, find 3 items with a rating of 4 stars or higher, sorted by price in ascending order. Record the product name, price, rating, and delivery method (specifically note if free 'Order Pickup' is available).

Finally, go to Amazon and search for these three categories. Filter for 'Prime Eligible' and a rating of 4 stars or higher, sorted by price in ascending order. Find 3 items for each category. Record the product name, price, rating, and whether it has the 'Prime free delivery' indicator.

Please organize the data from all three platforms into a table. Then, calculate: How many combinations can be formed by selecting one item from each of the three categories (sofa + coffee table + bookshelf) across all three platforms? Which combination has the lowest total price?

If Target items are chosen with free 'Order Pickup', Amazon items with 'Prime free delivery', and IKEA items are calculated with a $50 shipping fee, what is the most economical solution?

Output: For each platform and each category, the top 3 products (product name, price, rating, stock/delivery status, product detail page link). As well as the recommended optimal combination plan (which three specific items, total price, and how much it saves compared to the second-best option).
I am 3 months pregnant and want to verify the safety of three skincare products I am currently using.

First, go to the EWG Skin Deep database and search for each of these three products: Neutrogena Ultra Sheer Dry-Touch Sunscreen SPF 55, CeraVe Daily Moisturizing Lotion, and The Ordinary Niacinamide 10% + Zinc 1%. Record each product's EWG rating (1-10), the names of its primary risk ingredients (if the rating is >3), and the product's detail page link.

For products with a rating >3, extract the names of ingredients marked as 'High Concern'. Then, go to PubMed and search for each high-concern ingredient combined with the keywords "pregnancy safety" or "fetal development". Filter for Systematic Reviews or Meta-analyses published since 2020. Record the literature title, publication year, main conclusions (specifically whether it indicates a clear contraindication during pregnancy), and the PubMed link.

Next, go to Mayo Clinic and search for "pregnancy skin care" to find the pregnancy skincare guidelines page. Review the "Dos and Don'ts" list to confirm if the previously identified high-concern ingredients are on Mayo Clinic's restricted list. Record Mayo Clinic's specific recommendations for these ingredients and the page link.

Finally, return to EWG. For product categories that require replacement (e.g., sunscreen or moisturizer), filter within the same category for EWG VERIFIED™ certified products (rating 1-2). Find 2-3 alternative products.

**Output:**

For each original product:
*   Product Name
*   EWG Rating
*   EWG Detail Page Link
*   List of Primary Risk Ingredients (if any)

For each high-concern ingredient:
*   Ingredient Name
*   Titles and Links of relevant PubMed literature (listed in descending order by publication year)
*   Main Conclusions of the literature
*   Whether Mayo Clinic lists it as contraindicated (Yes/No/Not mentioned)
*   Mayo Clinic's specific recommendations

For each alternative product:
*   Product Name
*   EWG Rating
*   EWG VERIFIED™ Certification Status
*   Product Link
For an upcoming weekend, I'd like to cook a classic Beef Wellington. Please go to Food Network, find the highest-rated recipe (prioritizing the one with the most reviews), and list all its ingredients.

Next, due to a pregnant family member at home, I am very concerned about food safety. Please take the ingredient list and check the EWG website to identify any ingredients that fall under the 'Dirty Dozen' (high pesticide residue risk).

Finally, please search for organic supermarkets near my location (assume I am at Union Square, San Francisco) that have a rating of 4.5 or higher. Ideally, they should clearly state their business hours on their detail page and be currently open. Please provide me with their names and addresses.
I’m moving to Chicago, IL (ZIP 60601) around the year-end holiday period and need to set up my studio. Start on **Apartments.com**: search for that ZIP code and filter for a **Studio** apartment with move-in availability in the **next available move-in window after today** (if no listings are available in that window, use the earliest move-in date shown). Set the maximum rent to **$2,000**. Select the first listing in the results and note its address and monthly rent.

Next, I need a space-saving bed for this apartment. Go to **IKEA** and search for a **Sleeper sofa**. Apply filters to find one in the **Grey** color family priced between **$600 and $1,200**. Open the product page, verify it is currently **In stock** for delivery, and note the exact product name and price.

Finally, I want to find a real review of this specific sofa. Search the sofa’s full product name on **YouTube**. Find a review video with at least **5,000 views**. Open the video and enable subtitles (**CC**) so I can watch it silently later.

**Output:** Apartment address, monthly rent, and link; IKEA sofa name, price, stock status (In stock/Out of stock), and link; YouTube video title, view count, whether subtitles were enabled (Yes/No), and video link.
I’m planning a trip to San Francisco next month to research AI technology trends. First, please find an in-person Conference or Seminar on Eventbrite related to “AI Agents” or “Generative AI,” with a ticket price of no more than $500. If there are no qualifying events next month, then look for the earliest qualifying in-person event within the following two months. After identifying a target event, search Reddit for the organizer’s name or the event series name and quickly check whether there have been any serious negative reviews in the past year (e.g., “scam” or “badly organized”). If the overall sentiment is positive or neutral, continue.

Next, help me arrange accommodation. On Airbnb, find an “Entire home” with check-in on the day before the event starts, for a total stay of 3 nights. The property must be within a 2-mile walking distance of the event venue (be sure to verify walking distance using Google Maps), and the combined total of the event ticket plus the 3-night stay must not exceed $2,000. Output the event name, date, ticket price, organizer and Reddit reputation summary, Airbnb listing name, total accommodation cost, and the walking distance from the Airbnb to the venue as shown on Google Maps.
I'm going to Seattle next week to look for apartments, and I've identified a few promising ones on Apartments.com that I'd like to do some preliminary research on.

Please search for apartments in Seattle on Apartments.com with a budget of $1500-$2500 per month, requiring 1 or 2 bedrooms. Identify 3-5 highly-rated options and record their names, addresses, rent, and ratings.

Next, search on YouTube and Bilibili for any real-footage or tenant review videos for these specific apartments. Prioritize videos published within the last year and note any complaints regarding poor management, slow maintenance, or excessive noise. If relevant videos are found, record their titles and links.

Finally, arrange these apartments by geographical location to facilitate a logical viewing route on the day of my visit, avoiding excessive travel back and forth.
I am planning a cross-country road trip from San Francisco to New York, and my vehicle has a full tank range of approximately 450 miles. Please help me plan a route on Google Maps and identify a series of suitable gas stations along the way.

Requirements:
*   The driving distance between any two consecutive gas stations should be between 300 and 450 miles.
*   The first gas station should be 300-450 miles from San Francisco.
*   All gas stations should be located close to major highways (e.g., I-80).

After the route is planned, for each gas station, find restaurants within a 5-mile radius with a rating of 4 stars or higher (using Yelp or TripAdvisor).

Output:
*   For each gas station: name, address, Google Maps link, and driving distance from the previous stop.
*   For each recommended restaurant near a gas station: name, rating, distance from the gas station, and restaurant link.