Warrior0302/CAP-Bench huggingface dataset:
I am a Manchester United fan, planning a trip to Newcastle for an away game.
Please help me plan my itinerary for December 2025.
First, go to ESPN to find the Manchester United away match against Newcastle United, and confirm the exact date and kick-off time.
Next, go to TripAdvisor to find accommodation for the night of the match. Filter for 3 hotels in Newcastle upon Tyne with a rating of 4 stars or higher, and explicitly stating 'breakfast included'.
Finally, to ensure easy access to the stadium, use Google Maps to calculate the walking route from each of these 3 hotels to St. James' Park. Only retain hotels with a walking time of 15 minutes or less (if all exceed 15 minutes, retain the one with the shortest walking time).
Output the match date and time, the names of the 3 hotels, their TripAdvisor ratings, price per night, whether breakfast is included, and the specific walking duration shown on Google Maps. Also, include links to the match details page and each hotel's details page.
I'm planning to visit the Getty Center in Los Angeles to check out their current special exhibitions.

First, please go to their official website and find a special exhibition with 'Future' or 'Science' related concepts in its name. If no such exhibition is available, find the most popular one. Confirm its specific start and end dates.

After obtaining these dates, please search for hotels near the Getty Center on Booking.com. The booking should be for an upcoming arbitrary weekend during this exhibition period (two nights, check-in Friday, check-out Sunday). I'm looking for three hotels with a rating of 8.5 or higher and marked with 'free cancellation'.

Finally, use Google Maps to determine the driving time from each of these three hotels to the Getty Center. Select one with a driving time of 15 minutes or less, and provide me with the hotel name, price, and driving time.
I'll be in New York this upcoming weekend and would like to find an affordable music performance to attend (under $30).

Please search Eventbrite for events scheduled for this upcoming weekend. Select a band or singer that seems interesting.

To ensure the quality of the live act, after identifying a performer, search for their live performance videos uploaded within the last year on YouTube (exclude official music videos; focus on actual live footage).

Identify the live video with the highest view count. Then, provide me with the name of the performance, the Eventbrite link, and the title and view count of that specific YouTube video.
I’m planning to move to Tampa, Florida in the near future and I’m very concerned about neighborhood safety. First, go to the Superfund page on EPA.gov and search for the **“Kassauf-Kimerling Battery Disposal”** contaminated site in Tampa. Obtain its full street address and current NPL status.  

Next, go to Census.gov QuickFacts and check the latest population estimate for **“Tampa city, Florida.”** Compare it with the value from the previous statistical period to confirm whether the population is trending upward.

After gathering that information, go to Redfin.com to find listings. Filter criteria: Tampa city, **House** property type, price **$450,000–$600,000**, at least **3 bedrooms**, and status must be **Active** (exclude Pending/Contingent). Try to find **3** listings that meet these criteria; if fewer than 3 are available, return all currently available matches and indicate the total count.  

To ensure safety, use Google Maps to calculate the **driving distance** from each listing to that battery disposal contamination site, and prioritize homes that are **more than 3 miles** away. If all are under 3 miles, still report the exact distances truthfully.

Output: the contaminated site address, NPL status, and Tampa’s latest population; plus for each listing: address, price, Redfin link, driving distance to the contaminated site, and whether it meets the “>3 miles” criterion.
Our project plans to introduce an NPM package named 'visx' for data visualization. However, given the recent surge in supply chain attacks, a security review is required before deployment.

First, search for the 'visx' package on NPM. Record its weekly downloads, latest version, number of dependencies, and whether it has Provenance verification. Then, navigate to its GitHub repository.

On GitHub, check the Commit activity over the past 3 months (number of commits), the number of Contributors, and whether there are any security issues labeled 'security' or 'CVE' in the Issue list (if any, record the Issue title and number).

Next, extract core algorithm keywords for the package (if specific visualization technology names are mentioned in the README or description). Search for related papers on Semantic Scholar, sort by citation count in descending order, and identify the top 3 most cited papers. Record the paper titles, citation counts, publication years, and whether a PDF is available.

Finally, use the core keywords to search Google Patents for related patents (specifically those with a 'Granted' status). If any are found, record the patent title, applicant, and grant date.

**Output:**
*   **NPM Package Information:** (Weekly Downloads, Latest Version, Number of Dependencies, Provenance Status, NPM detail page link)
*   **GitHub Health:** (Number of commits in the past 3 months, Number of Contributors, Presence of security issues and their IDs, GitHub repository link)
*   **Academic Endorsement:** (Titles of the 3 most cited papers, Citation counts, Publication years, PDF availability, Semantic Scholar link)
*   **Patent Risk:** (Existence of relevant granted patents; if yes, provide patent title, applicant, grant date, Google Patents link)
*   **Overall Risk Rating:** (Low/Medium/High, based on a comprehensive assessment of security issues, maintenance activity, academic credibility, and patent risk).
I’m planning to drive an EV from Redding, California to Eugene, Oregon over a weekend next month. Since winter low temperatures can significantly reduce range, I need a dynamic charging plan.

First, use Google Maps to map this route, note the total mileage, and select 3 major intermediate cities along I-5 as potential stops (e.g., Mt. Shasta, Ashland, Roseburg).

Next, check the **Daily** weather forecast on AccuWeather for those 3 cities for the **departure day**. Focus on the **RealFeel® high temperature** and whether any precipitation/snow is forecast. Rule: if a city’s RealFeel® high is below **45°F**, or if the forecast includes any form of precipitation (**Rain/Snow/Ice**), mark that city as **“High Energy Consumption Risk.”**

For cities marked as **“High Energy Consumption Risk,”** return to Google Maps and find a nearby Tesla Supercharger with a rating above **4.5**. If no Tesla Supercharger above 4.5 exists in that city, choose the highest-rated Tesla Supercharger within the city and note **“Below 4.5”** in the output.

Output required:
- Total trip distance  
- For each of the 3 cities: city name, AccuWeather RealFeel® high on departure day, precipitation forecast details, risk status (Yes/No)  
- For each risk city: selected Supercharger name, rating, and Google Maps link
I am currently conducting cross-border product selection research for beauty products.

First, navigate to the official Sephora US website. Under the 'Skincare' category, identify products marked as 'Best Sellers'. Select 10 products with a rating of 4.3 or higher. For each selected product, record its product name, brand, Sephora price, and rating.

Next, use the format "Brand + Product Name" as keywords to search for the corresponding products one by one on Amazon. Record the Amazon price, rating, and number of reviews for each product.

Then, search for these same products on Target using the identical "Brand + Product Name" keywords. Record the Target price and stock status (in stock/out of stock).

Finally, visit the official brand website for each product (e.g., Drunk Elephant, La Mer, CeraVe). Locate the official product page. Record the official retail price from the brand's website and note whether there are any website-exclusive sets or special offers.

For each product, output the following information:
Product Name, Brand, Sephora Price, Sephora Rating, Sephora Product Link, Amazon Price, Amazon Rating, Amazon Number of Reviews, Amazon Product Link, Target Price, Target Stock Status, Target Product Link, Brand Official Website Price, Availability of Website-Exclusive Sets, Brand Official Website Product Link.
I'm a photography enthusiast planning to purchase a used Sony Alpha a6400 camera body by the end of 2025.

First, go to BestBuy.com and search for the Sony Alpha a6400 camera body. Use the filtering options to show only 'Open-Box Excellent' condition items, with a price under $800. Sort the results by 'Price: Low to High' and identify the cheapest one to establish a benchmark price.

Using this benchmark price, go to eBay.com for price comparison. Search for the same camera body ('Body Only'). Filter for 'Buy It Now' listings and 'Top Rated' sellers to ensure reliability. Find three options that are cheaper than the BestBuy benchmark price.

Finally, considering that used batteries often don't last long, go to Amazon.com and search for a third-party 'dual battery charger kit' compatible with the a6400 (NP-FW50 model). The kit must have a rating of 4 stars or higher. Sort the results by 'Avg. Customer Review' and select the one with the highest rating and over 1000 reviews.

Output: The BestBuy benchmark price; the prices and seller names for the three cheaper eBay options; the full title, price, and number of reviews for the selected Amazon kit; and the direct product page links for the chosen items from all three websites.
I plan to assemble a 4K 144Hz gaming PC with a budget of $2500. The core hardware list includes an RTX 4080 graphics card, i9-14900K CPU, Z790 motherboard, 32GB DDR5 RAM, and a 2TB NVMe SSD.

First, search for these five hardware components separately on Best Buy, Amazon, and eBay. Record the price and stock status of each component on all three platforms, then filter for available options.

Next, go to the Reddit Gaming community and search for keywords related to this build (e.g., 'RTX 4080 i9-14900K build'). Find 2-3 recent discussion threads to evaluate opinions on the compatibility and price-performance ratio of this configuration, paying special attention to any recommendations to avoid potential issues (pitfalls).

Finally, find a suitable desk at IKEA for the PC setup. Requirements: width at least 120cm, weight capacity at least 50kg, and price not exceeding $300.

Output:
For each hardware component: Name, Best Buy price and stock, Amazon price and stock, eBay price and stock, and product page links for each platform.
For Reddit posts: Title, link, and a summary of core evaluations (compatibility/price-performance/pitfall advice).
For the IKEA desk: Product name, dimensions, weight capacity, price, and product page link.
**Task Description:**

I want to upgrade my live streaming audio equipment, aiming for the sound quality level of streamer **shroud**.

First, navigate to his Twitch channel homepage. By consulting the 'Panels' or 'About' section (which might be located below the chat or in a dedicated tab), identify the specific model of microphone he currently uses.

Once the model is identified, go to Amazon and search for this microphone, specifically looking for a **new**, in-stock listing with a rating of 4.5 stars or higher. Record its price.

Next, to save money, search for the same microphone on eBay. Use the filtering options to display only 'Used' or 'Refurbished' condition items, and ensure the seller is a 'Top Rated Seller' to ensure a secure transaction. Identify the 3 lowest-priced options (including shipping) on eBay that meet the above criteria.

Finally, output: The complete microphone model, the new price on Amazon, the Amazon product link, the respective prices, condition, seller rating, and corresponding links for the 3 eBay options, and calculate how much money would be saved by purchasing the lowest-priced eBay option compared to the new price on Amazon.
I am considering purchasing a used Toyota Sienna (2021-2024 models) and would like to identify any common issues or recurring problems specific to these model years.

First, search for Sienna reviews on Car and Driver. Focus on finding a 'Long-Term Road Test' or a comprehensive review published after 2021. Identify and record at least two significant drawbacks ('Lows') mentioned by the editors.

Next, search Reddit for real-world feedback from owners concerning these two identified drawbacks. Locate the most discussed (highest comment count) relevant posts and summarize the solutions or workarounds proposed by the community.

Finally, to potentially verify these issues firsthand, use Google Maps to find the official Toyota dealership closest to downtown San Francisco, CA, and calculate the estimated driving time to reach it.

Output: The drawbacks mentioned by Car and Driver along with the article link; For the highest-engagement Reddit post, provide its title, comment count, link, and a summary of the main solutions discussed; The dealership's name, address, distance from downtown San Francisco, and the estimated driving time.
I'm a long-time follower of Tesla and recently learned that their autonomous driving technology (FSD/Autopilot) is under considerable regulatory scrutiny.

First, please navigate to the official SEC website to find Tesla's latest annual report (10-K). In the 'Risk Factors' section, carefully identify and extract the key sentences where the company officially describes risks related to 'regulatory or legal proceedings concerning autonomous driving technology'.

Next, take this official statement and search on Quora for a highly engaged, relevant question (e.g., with numerous answers or followers) to see if the general public or industry professionals are discussing similar concerns.

Finally, please compare: are there any significant discrepancies between the official phrasing in the financial report and the central topics of discussion among Quora users?
I need to select a sentiment analysis model for my company's FinTech project.

Please go to Hugging Face and search for the keyword 'financial sentiment'. Use the left-hand filter bar to set the task to 'Text Classification' and library support to 'PyTorch'. Sort by 'Most Downloads' and select the top 3 models with the highest download counts.

For each of these 3 models, navigate to its detail page to find the associated GitHub repository link. After navigating to GitHub, click to view the commit history, and record the specific date of the most recent commit on the main branch to assess maintenance activity. Additionally, look for the arXiv paper link referenced by the model, either on the HF model card or in the GitHub README.

Output the following information for these 3 models: Model Name, HF Detail Page Link, HF Download Count, GitHub Repository Link, GitHub Most Recent Commit Date, arXiv Paper Link (if none, state 'N/A').
I recently want to arrange music in the style of Bill Evans, and I need to find some specific references and advanced tutorials.

First, please go to Spotify and search for the official playlist 'This Is Bill Evans'. Tell me the current number of 'Saves' for this playlist and the title of the first track on the list. I need to confirm the style.

After confirmation, please go to Udemy to find courses for me. Search for 'Jazz Piano Improvisation'. To ensure quality, please filter the courses in the sidebar by a rating of 4.5 or higher, and select 'Intermediate' or 'Expert' for the difficulty level. I need to confirm whether the course outline teaches the specific technique of 'Rootless Voicings'.

Please find a course with either a 'Bestseller' or 'Highest Rated' label. Expand its 'Course content' section and carefully examine the titles of the lectures/lessons. Once you find a course that includes this technique, send me the course link and excerpt the name of the chapter or lesson where this technique is mentioned.
I am developing a pixel-art action Roguelike game and would like to research the map generation mechanisms of benchmark products.

First, go to Steam. Use the filtering function to find games tagged with both 'Pixel Graphics' and 'Action Roguelike'. To ensure quality, sort the results by 'User Reviews', and identify the top-ranked game that is paid (not free). Go to its detail page and confirm if its positive review percentage exceeds 95%.

Once confirmed, I want to find similar open-source implementations. Go to GitHub and search for 'Roguelike dungeon generation', filter the language to C#, sort by 'Stars', and identify the top-ranked repository.

Finally, compile for me the name and positive review percentage of the Steam game, as well as the URL and star count of the GitHub repository.
Our team is preparing to transition from Vue to React and would like to purchase a few physical books for the office library corner. Please help me find three React technical books on Goodreads, published after 2022, with a rating of 4.3 or higher. The content must be in-depth; avoid purely introductory books. Once you've identified suitable books, search for them on Google Books. If a preview is available, check the table of contents or main text to determine if the code examples are written using functional components + Hooks, or the older Class components. Finally, please provide me with the titles, authors, exact Goodreads ratings, and confirmation of Hooks-based examples for these three qualifying books.
I'm interested in researching the phenomenon where film critics' opinions and audience preferences diverge significantly.

First, navigate to the 'Movies' section on Rotten Tomatoes. Find a film currently 'In Theaters' or available 'At Home' (streaming) that meets the following criteria: a high Tomatometer score from professional critics (over 80%) but a low Audience Score (under 50%).

Once you find a suitable movie, please tell me its name and the exact Tomatometer and Audience Scores.

Next, search for this film on IMDb. Go to its 'User Reviews' section, filter for reviews rated 1 or 2 stars, and sort them by 'Helpfulness'. Summarize the top-ranked lengthy review, identifying the primary reasons for audience dissatisfaction.
I am a full-stack developer, and I want to learn a new AI tool towards the end of the year. Please go to the GitHub Trending page and filter for the most popular Python projects for 'this month'. Carefully examine the top-ranked projects. Identify the first project whose description explicitly contains either 'Agent' or 'LLM' as keywords, and which also has a `requirements.txt` file present in its repository's root directory. Once found, search on YouTube for practical tutorials for this project. Please ensure to use the filter function to only show videos released 'this year' and with a duration exceeding 4 minutes (to ensure they are not short trailers). Identify the one with the highest view count. Output: GitHub project name, GitHub project link, Star count, direct link to the `requirements.txt` file, YouTube video title, video duration, video publication date, video view count, YouTube video link.
I am a product manager at an AI startup, and my team is evaluating the feasibility of commercializing **Monocular Depth Estimation** technology as an API service. Please help me conduct a technical commercialization research task:

First, go to Semantic Scholar and search for **"monocular depth estimation"**. Sort by citation count and identify the 3 most-cited papers published since 2024. Record each paper’s title, authors, publication year, citation count, and TLDR summary.

Then open each paper’s detail page and check whether it includes a GitHub link. If it does, visit the corresponding GitHub repository and review the README to extract the GPU model and VRAM requirement needed for model inference (e.g., RTX 3090 / 24GB). If the README does not explicitly state GPU requirements, check the repository’s requirements, docs, or issues for minimum hardware information. If still not found, mark it as **“GPU requirements not explicitly specified.”**

Next, search Amazon for those GPU models, filter for **new** condition, and prioritize products sold by **Amazon**. Find the currently lowest-priced option and record the GPU model, price, seller type, and product link. If no Amazon-sold listing is available under new condition for that model, select the lowest-priced non-Amazon seller listing under new condition as a fallback, and clearly label it as a fallback choice.

Finally, go to Google Scholar and search for **"depth estimation API pricing"** or **"3D reconstruction API cost"** to find pricing clues for existing competitor services (e.g., Replicate, Hugging Face Inference API). Then visit each service’s public pricing page to verify pricing details. If found, record the provider name, pricing model (per call / monthly subscription), and exact price.

**Output required:**
- For each paper: title, authors, publication year, citation count, TLDR summary, whether a GitHub link exists, and Semantic Scholar paper link  
- Extracted GPU requirements from the corresponding GitHub repo (model and VRAM; explicitly note if unspecified), plus GitHub link  
- Lowest Amazon price for that GPU, seller type, and product link (and whether it is Amazon-sold)  
- Competitor service name, pricing model, and exact price (if not found, explain why and list attempted paths)
I’ve recently started learning machine learning and want to find a high-quality hands-on project tutorial on Bilibili to follow. Please search using keywords like “machine learning project practice” or “deep learning project,” sort by view count, and identify videos with at least 500,000 views.

For each candidate video, check whether the description includes a GitHub repository link. If the description is unclear, expand it to view the full text, and also check the pinned comment in case the uploader added the code link there.

After finding a GitHub link, verify whether the repository actually exists and whether the code appears complete. Check for files such as a README and requirements.txt, and see whether the repository has been updated recently.

If a video does not provide a GitHub link or the link is invalid, move on to the next video that meets the view-count requirement and continue until you find at least one accessible repository. If none can be found in the end, clearly state the scope of what was checked and why no valid result was found.

Finally, tell me whether the video is worth following for learning and whether the code can be used directly.
I am evaluating the investment potential for vacation rentals in Kissimmee, Florida (34747), with a baseline for analysis set for December 2025. First, on Zillow, find three single-family homes for sale. Requirements: price between $450,000 and $600,000, at least 4 bedrooms, and explicitly listed with a 'Private Pool' in the 'Facts and features' section.

For each of these three Zillow properties, find comparable Airbnb listings to estimate potential rental income. Using the map search function, within the same neighborhood or a 0.5-mile radius of each Zillow property, find a short-term rental property that also has 4 bedrooms and is tagged as 'Guest favorite'. Check the nightly rate and cleaning fee for this comparable listing for a 5-night period, specifically from March 15th to 20th of the next calendar year (e.g., if the current date is in 2024, use March 15-20, 2025).

Finally, using Google Maps, calculate the driving time from each Zillow property to 'Magic Kingdom Park' and verify if it is within a 20-minute drive.

**Output: Zillow property address, sale price, Zillow link, Airbnb comparable listing link, Airbnb nightly rate (for the specified March 15-20 period), cleaning fee, whether it is a 'Guest Favorite', and driving time to Magic Kingdom Park.**