Warrior0302/CAP-Bench huggingface dataset:
I've recently received an offer from Tableau in Seattle, with the office situated on North 34th Street. I plan to start in early 2026 and need to find accommodation.

First, please confirm the exact address of Tableau Software's headquarters in Fremont, Seattle.

Using this address as the destination, please plan a driving route on Google Maps for an 8:30 AM arrival on a Monday. Identify three specific neighborhoods where the peak-hour driving commute time falls between 25 and 35 minutes (inclusive) to be considered as prospective residential areas.

Then, on Apartments.com, for each of these three identified neighborhoods, locate one 1-bedroom apartment that has a rating of 4.0 or higher, a rent between $2500 and $3200, and explicitly features "In Unit Washer & Dryer" amenities.

Output should include: Tableau's exact address; the names of the three prospective neighborhoods along with their corresponding estimated Google Maps commute times; and for each recommended apartment: its name, address, rent, rating, and the Apartments.com detail page link.
I’m a die-hard Coldplay fan based in New York (JFK), and I want to travel to see their upcoming tour dates in Europe.

First, check Spotify for Coldplay’s tour schedule in Europe and select 3 different cities. If there are no available European dates on the current page, then find the 3 nearest upcoming tour cities worldwide (not limited to Europe) and clearly note this in the results.

Next, for each of those 3 cities, use Google Flights to search round-trip flights that align with the concert timing (arrive 1 day before, depart 1 day after), prioritizing nonstop options, and identify the city with the lowest airfare. If a city has no nonstop flights, you may choose the option with the shortest layover and note that explicitly.

Finally, for the winning city, use Airbnb to find accommodation for the concert period. Requirements: it must be labeled **“Guest Favorite”**, priced at **$300/night or less**, and verified in **map view** to be very close to the concert venue (walkable or a short drive).

Output: a flight price comparison across the 3 cities, plus the final selected Airbnb listing name, nightly price, estimated total trip cost (**flight + 2 nights of lodging**), and listing URL.
I am a researcher in digital preservation of cultural heritage, preparing a proposal report for the museum director on AI-based artwork restoration technologies. First, search Semantic Scholar for **“AI art restoration”** or **“neural network painting restoration”**, filter for papers published since 2024, sort by citation count in descending order, and identify the 5 most-cited papers that provide a PDF download link. Record each paper’s title, authors, publication year, citation count, and paper link.

Then, extract the core algorithm names from the abstracts or full texts of these 5 papers (e.g., GAN-based restoration, Transformer-based inpainting), and search GitHub for corresponding open-source implementations. Prefer projects with more than 500 stars and updates within the last year. Select the 3 most active projects and record the project name, star count, most recent update date, primary programming language, and project link. If fewer than 3 projects meet all criteria, keep the “updated within the last year” requirement, prioritize higher-star relevant projects, and clearly note which ones do not reach 500 stars. If GitHub access is restricted or requires login, document the limitation and continue by using code links from paper pages or searching via a search engine with queries like “algorithm name + GitHub” to find publicly accessible repositories.

Next, search Google Patents for patents related to these algorithms. Filter for granted U.S. patents filed after 2020, identify 2–3 patents, and record the patent number, title, assignee, filing date, and patent link.

Finally, visit the Getty Museum official website. Under **“What’s On”** in Current or Future exhibitions, check whether there are exhibitions or events related to digital restoration or technology-driven conservation. If found, record the exhibition name, date range, summary, and link. If none are relevant, search the Getty collections pages using the keywords **“digital”** or **“conservation”** to find cases of digitally supported restoration, and record 1–2 cases with object name, description, and link.

**Output format:**  
- 5 papers (title, authors, publication year, citation count, Semantic Scholar link)  
- 3 GitHub projects (project name, star count, latest update date, primary programming language, GitHub link)  
- 2–3 patents (patent number, title, assignee, filing date, Google Patents link)  
- Getty-related exhibition(s) or collection case(s) (name, description, link)
I want to buy three types of upgrades for my 2025 Ford Bronco: a roof rack, a winch, and all-terrain tires. First, go to Car and Driver and find the review article for the 2025 Ford Bronco to see which upgrade brands and specific models they recommend. If that review does not provide specific brands/models for all three upgrade categories, continue searching within Car and Driver for Bronco upgrade guides or related articles to fill in the missing recommendations.

Then take those recommended models and search for them on Amazon, eBay, Target, and Best Buy to compare prices. Apply these filters: rating above 4 stars, in stock, and standard shipping or faster delivery available. For each upgrade category, identify the lowest-priced option across the four platforms; however, if the lowest-priced option has a rating below 4.5 stars or fewer than 50 reviews, choose the second-lowest-priced option instead.

Finally, output for each upgrade category: recommended brand and model, the most cost-effective platform to buy from, that platform’s price, rating, number of reviews, stock status, shipping method, and product detail page link.
This Saturday I’ll be in Chicago and want to plan a perfect date night. First, on Eventbrite, find an art exhibition or jazz concert near Downtown/The Loop. Prioritize options that end before 7:00 PM on Saturday, and check whether the event details mention a dress code or whether it’s suitable for couples. If the current listings do not show a clear end time, choose an event that starts earlier (e.g., before early evening) and has more complete page information, and note in the result whether the end time is clearly provided.

After selecting the event, based on its end time (or your noted timing judgment if the end time is unclear) and exact address, go to OpenTable and find a restaurant within walking distance (or a very short drive). I’d like Italian or French cuisine, rated above 4.5, with a price range of $$ or $$$. Most importantly, check whether a table for two is available around 30 minutes after the event ends.

Finally, tell me the name of the event, what time it ends (or whether the end time is unknown), and the name of the restaurant you chose, along with the most suitable reservation time.
I’m considering buying clothing from sustainable fashion brands and want to verify whether their environmental claims are credible.

First, please search for sustainability-related women’s clothing items on Target (prioritize the keyword **“sustainable”**; if there is no explicit “sustainable” label on the site, use related keywords/tags such as **“organic cotton”** or **“recycled materials”**). Try to find products from **5 different brands**, each with a rating of **4 stars or above**. Record the following for each item: **brand name, product name, price, rating, and the environmental claim mentioned on the product page** (e.g., “made with organic cotton,” “reduced carbon emissions,” etc.). If fewer than 5 qualifying items are found, record the actual number found and specify which criteria were not fully met.

Then, go to **Our World in Data** to look up data on **carbon emissions** and **water consumption** in the textile industry. Identify the **global average benchmark values** for textile carbon emissions intensity and water consumption, review the trends shown in the charts, and record key figures.

Next, search Etsy for **“sustainable handmade clothing women”** and try to find **3 independent designer shops** with ratings of **4.5 stars or above**. Check how their product descriptions and shop About pages describe their sustainability practices. Record: **shop name, representative product, price, and sustainability-practice description**. If fewer than 3 such shops are found, record the actual number and supplement with relevant shops rated **4.0 stars or above**, clearly noting the rating differences.

Finally, output:
- For each Target brand: **brand name, product name, price, rating, sustainability claim description, product link**
- From Our World in Data: **textile industry carbon-emissions and water-consumption benchmark values, plus chart links**
- For each Etsy shop: **shop name, representative product, price, rating, sustainability-practice description, product link**
I’m working on a data visualization project and want to find a solid Python library. Please search Stack Overflow for **“python data visualization”** and check what libraries are recommended in highly upvoted answers. Record the top three answers with the highest vote counts.

Then look up each of those recommended libraries on GitHub and review their **star counts**, **whether they’ve been updated recently**, and **how clear and complete their README is**. Help me identify which one is the most active.

Finally, search Bilibili for tutorials on that library. Prioritize results by **view count (highest to lowest)**, and find several in-depth tutorials with **high views** and **duration longer than 15 minutes**. Check audience feedback in the comments. If stable sorting by view count is not available, select from the top relevant results and clearly state your selection criteria.

At the end, tell me whether this library is worth learning and how good the tutorial quality is.
I’m very interested in Samsung’s foldable-phone hinge technology and want to find some in-depth technical material. Please search Google Patents for patents filed by Samsung Electronics related to “foldable hinge.” Make sure to use filters so that only **granted patents (Grant)** are shown, and the **filing date is after January 1, 2021**. After finding one that appears to be a core patent, record its patent number and title.  

If there are no results under these strict conditions, keep **Grant** unchanged and gradually relax the date condition to **after January 1, 2019**, and specify the actual date range used in your results.  

Then go to YouTube and search for a “Samsung Galaxy Z Fold 5 teardown” video that uses this type of technology. Find a popular video with **over 500,000 views**. Open it and verify whether it supports subtitles (CC). If there are no results over 500,000 views, select the video with the highest view count in the current results and note the actual view count.  

Finally, tell me the patent number, the video title, and whether subtitles are available.
I am planning a trip to Italy in May 2026, themed around visiting filming locations from the movie "Mission: Impossible - Dead Reckoning Part One". First, go to IMDb to find this 2023 movie and identify its main filming cities. From these, find two famous Italian tourist cities (Hint: one is the capital, and one is a 'water city').

For the capital city (Rome), search on Google Flights for a one-way ticket from New York (JFK). The planned departure date is May 15, 2026. Use the "Date Grid" feature to check prices for surrounding dates. If May 14th or 16th is more than $50 cheaper than May 15th, select the cheaper date; otherwise, keep May 15th. Filter for the *only* non-stop flight available.

For the 'water city' (Venice), find a hotel on Tripadvisor. Requirements: It must have the "Travelers' Choice" badge, be a 4-star hotel, and have a nightly rate between $300-$600. Sort by "Traveler Ranked" and select the top-ranked hotel.

Output: The two city names found on IMDb, the selected departure date from Google Flights, the lowest non-stop flight price, the airline, the selected hotel name from Tripadvisor, its nightly rate, whether it has the Travelers' Choice badge, and the respective detail page links for all three websites.
I’m considering buying a few recently released film noir restoration Blu-rays from the Criterion Collection. First, check the Criterion website for film noir titles added in the last 3 months, filter for 4K UHD or Blu-ray formats, and try to identify 5 films (if fewer than 5 are available, record the actual count). Then, for each film, check IMDb for its rating and number of ratings, prioritizing titles with a rating above 7.5 and more than 5,000 ratings. Next, check Letterboxd for each film’s community rating and number of ratings, prioritizing titles with a rating above 4.0 and more than 2,000 ratings. If fewer than 3 films remain after applying both platform thresholds, fill the shortlist from the collected films by prioritizing how many criteria each title meets (IMDb rating/count and Letterboxd rating/count; the more conditions met, the higher the priority), and clearly mark in the output whether each condition is met along with the corresponding values.

Finally, search YouTube for restoration comparison videos for each film (search: “Film Title restoration comparison”), and select comparison videos longer than 3 minutes with relatively high view counts, explaining why each was chosen. Based on restoration specs, cross-platform ratings, and comparison videos, recommend the 3 most worthwhile films to buy (if fewer than 3 candidates are available, recommend the actual number and explain why).

For each recommended film, output:
- Title  
- Director  
- Criterion restoration format (4K UHD/Blu-ray)  
- Criterion price  
- Criterion detail page link  
- IMDb rating  
- IMDb rating count  
- IMDb link  
- Letterboxd rating  
- Letterboxd rating count  
- Letterboxd link  
- YouTube comparison video title  
- YouTube view count  
- YouTube video link  
- Recommendation rationale (combining restoration quality, ratings, and community reception)
During a Steam sale event, I'd like to find some engaging RPGs to play during my leisure time.

First, on Steam, filter for RPG games that are currently on sale (Special Offers), have a user review rating of 'Very Positive' or higher, and are priced between $10 and $30. Sort these results by user reviews and identify the top 5 games.

Next, on HowLongToBeat, find the 'Main + Extra' average completion time for each of these 5 games.

Finally, using the current discounted price from Steam, calculate the 'cost per hour of gameplay' (Price / Duration) for each game, and on Metacritic, confirm the Metascore rating for these 5 games.

For each of the 5 games, output the following: Game Title, Steam Current Price, Steam Review Status, HowLongToBeat Duration, Calculated Cost Per Hour, Metacritic Score, and links to their respective platform detail pages.
Our project uses the Python library **requests**, but one of its dependencies had a security incident in the past, so I want to conduct a thorough review this time.

Please first check **PyPI** for any known vulnerability records related to `requests`, especially those with high severity. Then review its **GitHub repository**, focusing on commit activity over the **past six months** and whether there are any unresolved Issues tagged with **security** (please check multiple pages, not just the first one).

Finally, search **Google Scholar** for academic papers specifically studying the security of the `requests` library, especially those published in the **last two to three years**, and see whether any have identified architecture-level security risks. If there is no direct research on `requests`, then find studies on the security of Python HTTP client libraries as supplementary evidence and label them as **indirect evidence**.

Please summarize the findings for me:
- Whether there are any severe vulnerabilities  
- Whether maintenance is active  
- Whether academia has identified potential risks
I’m a die-hard San Francisco Giants fan and I’m planning a pilgrimage to Oracle Park during the next ticket-available part of the season.  
Please first check a **rolling 15-day window** in that period and identify which Giants home games are available. I want to attend a game against the **Los Angeles Dodgers** or **New York Mets** if possible (prefer a weekend game). If there is no game against those two teams, pick any **weekend home game**. If no suitable home game exists in the current 15-day window, move forward to the **next 15-day window within the same season** and continue searching.

After confirming the game date, use **Oracle Park as the center point** and find a **3-star or higher hotel within a 15-minute walk** on Google Maps. Then check that hotel on TripAdvisor, filter reviews mentioning **“safety/safe”** or **“noise/quiet,”** and determine whether the sentiment is positive. Finally, find a **well-rated (4.0+ stars) seafood or American restaurant within a 10-minute walk** of the ballpark for a post-game celebration.

Output required:
- Game date and opponent  
- Ballpark location  
- Hotel name and star rating  
- Walking time from hotel to ballpark  
- Summary of TripAdvisor safety/noise review findings  
- Recommended restaurant name and rating  
- Verification links for each step
I came across a survey paper on 3D Gaussian Splatting on arXiv. The title is roughly **“A Survey on 3D Gaussian Splatting”**, and the authors seem to be Guo et al. I want to find the latest code implementations mentioned in or related to this survey.

First, help me confirm the paper’s exact title and arXiv ID on arXiv. Then search GitHub using the paper title, find related repositories, and prioritize them by Star count (highest to lowest), while also checking whether they have been updated within the last three months. If any repository satisfies both **“high stars + updated in the last three months,”** return the one with the highest Star count among them.

Next, check whether that repository’s README includes a **“Requirements”** or **“Installation”** section, and confirm that it is PyTorch-based.

Finally, search Hugging Face to see whether there is a Papers page with the same title.  
- If yes, identify the linked Model with the highest download count.  
- If no such Papers page exists, search Models using the paper title keywords, pick a highly downloaded relevant model, and state the matching rationale.

Please compile and return the **arXiv ID**, **GitHub repository link**, and the **most popular model ID on Hugging Face**.
I’m looking for a few “hidden gem” films worth collecting—specifically cult movies released by the Criterion Collection that are underrated by critics but beloved by fans.  
Please first browse the in-stock Blu-ray titles on the Criterion website and try filtering candidates by genre, preferably Horror or Sci-Fi. If there is no usable genre filter at the moment, the filter is malfunctioning, or the filtered results are too limited, continue by manually selecting clearly Horror/Sci-Fi titles (Thriller can be included as a supplement) from the visible in-stock Blu-rays on that page, and state the basis for your classification.

You need to check each film’s Rotten Tomatoes critic score (Tomatometer) and Letterboxd audience rating. Please try to find 3 films that meet both of these criteria: **Tomatometer below 60%** and **Letterboxd rating above 3.6**.  
If fewer than 3 films meet the strict criteria, keep **Tomatometer < 60%** as a fixed condition, then fill the remaining slots by selecting titles with the highest Letterboxd ratings, and clearly label which entries strictly meet both conditions and which are supplemental picks, along with their corresponding scores.

Finally, provide the three films’ titles, directors, exact scores from both platforms, and confirm whether each title is currently marked **In Stock** on the Criterion website.
I just moved to Texas and live in San Antonio, TX, but my workplace is in Austin, TX, so I need to commute daily. Since I don’t want to stop for gas too often, I want to buy a used compact SUV with strong real-world range.

Please first go to Edmunds and find 3 listings that meet all of the following criteria: model year 2022 or newer, under 50,000 miles, priced below $28,000, and currently for sale. For these 3 models, go to Car and Driver and find their corresponding professional reviews (if the exact model year is unavailable, use a nearby year from the same generation).

Prioritize extracting the “75-mph Highway Driving” fuel-economy result and fuel-tank capacity from the “C/D TEST RESULTS” table (do not use EPA official figures). If a model truly does not have corresponding tested data, replace it with another vehicle that meets the Edmunds criteria, and continue until you have 3 vehicles with available tested data. If repeated attempts still produce fewer than 3, clearly note the shortfall and perform calculations only for the vehicles with available tested data.

Finally, use Google Maps to plan a driving route from San Antonio to Austin. Based on the round-trip distance, calculate whether each of the 3 vehicles can support my 5-day workweek commute on a full tank under highway-only real-world conditions, without refueling midweek (i.e., fuel tank capacity × tested highway MPG > daily round-trip distance × 5).

Output: decision recommendation, Edmunds link for each vehicle, Car and Driver review link, tested highway MPG, fuel-tank capacity, theoretical highway range, and whether it meets my one-week commuting requirement.
I’m an event promoter looking for promising indie bands. First, go to **Eventbrite**, search for **Music** events in **Los Angeles**, and use the date filter to show only events happening **this weekend**. Prioritize finding three indie band headline shows that are **not Sold Out** (avoid multi-artist festivals or DJ parties). If fewer than three are available, record the actual number found and continue. Note the name of your top-priority band choice.

Take that band name to **Spotify** to verify popularity. Open the artist profile page, switch to the **Albums** or **Discography** tab, and check whether they have released any album with “Live” in the title (output **Yes/No**). Then check the **Monthly Listeners** on the main page, which must be above **10,000**. If it is below 10,000, return to Eventbrite and choose the next band until one meets the requirement. If all available candidates in this round are below 10,000, state that in the result and stop. Once a band qualifies, record the #1 song in their **Popular** list.

Finally, go to **YouTube** to validate live performance strength. Search for a live version of that top song (keyword: **“Song Name Live”**), and use filters to show only videos with duration **Over 4 minutes**. Return up to 5 candidate results (or all if fewer), sort by view count from highest to lowest, and select the top one as the final result. Also include the titles and view counts of the #2 and #3 videos for comparison (if fewer than 3 exist, provide the actual number available).

**Output:** final selected band name, Eventbrite event link, Spotify monthly listeners, whether they have a Live album, Spotify Top 1 song name, YouTube video title, duration, view count, and link; plus the YouTube #2/#3 titles and view counts (if available).