Warrior0302/CAP-Bench huggingface dataset:
I’m writing a sci-fi script about AI ethics and want to systematically gather creative source material. First, go to IMDb and search for sci-fi films with theme tags including “artificial intelligence” or “dystopia,” with ratings above 7.5. Select 5 classic works and record the title, director, IMDb rating, and detail-page link for each.

Then, search these 5 films on Letterboxd. For each film, check the community rating and top user reviews (prioritize highly liked reviews; if the page cannot be reliably sorted by likes, select the 3 most relevant visible reviews and state your selection criteria), and extract keywords describing commonly discussed narrative techniques (e.g., “multi-thread narrative,” “time loop,” “first-person perspective”).

Next, on Goodreads, try to find the original novels corresponding to these films or books from the same IP/franchise. Prioritize books with ratings above 4.0 and more than 1,000 reviews, and aim to find 3 books. If fewer than 3 are available, keep the results found and clearly state the gap. Record the title, author, Goodreads rating, philosophical topics mentioned in popular reviews (e.g., “free will,” “the nature of consciousness”), and link.

Then, go to Semantic Scholar and search for “AI ethics” or “machine consciousness.” Sort by citation count and find 5 papers with more than 100 citations (if fewer than 5 exist, record the actual number found and explain). Record the title, authors, citation count, publication year, abstract, and paper link.

Finally, on YouTube, find in-depth analysis videos for any 2 of the 5 films (e.g., “[Film] review,” “[Film] analysis”), with each video longer than 15 minutes and having more than 100,000 views; find 1 video per film. If a specific film has insufficient results, you may switch to another film among the 5 and expand search keywords (e.g., “ending explained,” “deep dive”). Record the video title, channel name, view count, duration, and link.

Output format:
- IMDb films (title, director, rating, link)
- Letterboxd info (community rating, narrative-technique keywords)
- Goodreads books (title, author, rating, philosophical topics, link)
- Papers (title, authors, citation count, year, abstract, link)
- YouTube videos (title, channel, views, duration, link)

If any step encounters a login wall or regional restriction, record the limitation and continue with the remaining steps.
I’m preparing teaching materials for an Ancient Greek mythology art workshop. First, go to the Getty Museum website and find up to 5 Ancient Greek mythology-themed works that are currently on display (sculptures, ceramics, or reliefs are all acceptable). For each work, record its title, date, material, exhibition name, and the mythological figure or theme mentioned in its description (e.g., Athena, Heracles, the Trojan War, etc.). If there are fewer than 5 relevant works in Current exhibitions, supplement from the Getty collection database with additional Ancient Greek mythology-related works, and clearly mark which ones are from Current exhibitions and which are from the collection database.

Then go to Bilibili and YouTube, and use the names of these mythological figures as search keywords for educational/explanatory videos:
- On Bilibili: filter within the Knowledge category, find one video that is at least 8 minutes long with the highest view count.
- On YouTube: filter for videos at least 8 minutes long, sort by view count, and find the one with the highest views.

Finally, output for each artwork:
- Artwork title  
- Date  
- Material  
- Mythological theme  
- Getty artwork detail page link  
- Bilibili video title and link  
- Bilibili video duration and view count  
- YouTube video title and link  
- YouTube video duration and view count
I want to contribute code to the pandas Python library but don't know where to begin.

First, help me find open issues in the pandas project on GitHub that are labeled 'good first issue'. From those, identify the top 5 most active issues (those with recent updates and many comments), and for each, record its title, a brief summary of the topic, and the number of discussions.

Next, search for pandas-related questions on StackOverflow, sorted by votes, to find the most frequently asked and highly upvoted ones. List the titles and vote counts for the top 10.

Finally, compare these high-frequency StackOverflow questions with the themes of the GitHub issues. Identify issues that are suitable for beginners and simultaneously address significant user pain points. Recommend 2-3 of the most worthwhile issues for me to contribute to.
I’m finalizing my itinerary for the next CES (Consumer Electronics Show). First, please check Wikipedia to confirm the exact dates, host city, and main venue name for the next CES. After obtaining the dates and city, search Eventbrite for “Tech Networking” or “After Party” events taking place in the same city during that period. Please identify 3 events that meet the following criteria: priced at $50 or less (or free), and held in the evening during CES dates (after 18:00). If fewer than 3 results are available during CES, you may extend the search to one day before and one day after CES, and clearly note this in the output. Once identified, use Google Maps to calculate the driving distance and estimated travel time from the CES main venue to each of the three event locations. Output the CES start and end dates, host city, and main venue name; and for each of the 3 events: name, exact time, price, Eventbrite link, and driving distance and time from the main venue.
I want to reproduce image segmentation experiments. First, go to Semantic Scholar and search for image segmentation papers published since 2024 in this field. Identify up to 5 papers with relatively high citation counts, and keep only those with downloadable PDFs. Prioritize papers whose PDFs are directly accessible on a public webpage; if fewer than 5 meet this condition, proceed with however many are actually found.

Then, pick one of these papers and go to GitHub. Search by the paper title or the first author’s name to find a related code repository (official or community implementation). Prefer repositories with more than 500 stars. Verify that the README cites the paper and that the repository includes a `requirements.txt` file (if not, move to the next paper until one is found).

Next, go to Hugging Face and search for the paper title. Find up to 3 pretrained models with relatively high download counts, and check each Model Card to confirm the model actually corresponds to that paper; if fewer than 3 are available, record the actual number found.

Finally, go to YouTube and search by the paper title or first author. Find in-depth explainer videos longer than 10 minutes with more than 5,000 views. Expand the video description and confirm it mentions the paper title or author. If too few videos strictly meet all conditions, keep videos with duration ≥10 minutes and prioritize those with higher view counts and descriptions that clearly mention paper-related information.

Output:
- **Paper**: title, first author, publication year, Semantic Scholar citation count, whether PDF is available, paper link  
- **GitHub**: repository name, star count, whether `requirements.txt` is present, repository link  
- **Hugging Face**: model name, download count, Model Card summary, model link  
- **YouTube**: video title, duration, view count, video description summary, video link
As a first-year graduate student, my advisor has tasked me with researching the 'LLM Watermarking' field, but I'm concerned about running into pitfalls. Please help me find a paper on Google Scholar published after 2023 with a relatively high citation count (at least 50 citations). Crucially, I need one that comes with runnable code. After finding a suitable paper, please navigate to its detail page and look for a GitHub link (typically located next to the PDF link or within the description). If one exists, click on the GitHub repository and briefly review the 'Open Issues' in its issue list. Specifically, look for unaddressed error reports such as 'Installation failed' or 'Environment error'. Please select the repository that appears to be the best maintained and has the fewest complaints. Then, provide me with its GitHub URL, the paper's title, and the current number of open issues.
As an avid NBA 2K player, I feel Klay Thompson's recent three-point rating in the game is too low, and I intend to post on a forum to discuss this.

First, please check IGN for recent news on NBA 2K25 player rating updates or find relevant top-player rating articles. Confirm Klay Thompson's current three-point rating and note if the articles mention any changes to his numerical value.

Next, go to Basketball-Reference to retrieve his real-world statistics from his most recent 20 regular season games. I specifically need his '3-point field goal percentage (3P%)' and '3-point attempts per game (3PA)'. It would be even better if you could find shot charts or zone shooting percentages for these 20 games. This information will help me ascertain whether his performance has genuinely declined or if the game's rating is unwarranted.

Finally, synthesize the data from both sources and inform me whether his in-game rating accurately reflects his recent real-world performance.
Our family is having a dinner gathering next Saturday to Sunday. My sister has a severe nut allergy, and my cousin is allergic to shellfish. I need help finding some safe recipes.

First, please consult Mayo Clinic or WebMD to research cross-reactive foods and common hidden sources for both nut and shellfish allergies (e.g., nut ingredients in certain sauces or condiments). Compile and list these risky ingredients.

Next, navigate to AllRecipes and search for recipes explicitly labeled as "nut-free" and "shellfish-free". Identify 5 recipes that have a rating of 4 stars or higher and are suitable for a family dinner.

Subsequently, meticulously examine the ingredient list of each of these 5 selected recipes for any potential hidden risks. For example, certain sauces or seasonings might contain nut oils, tahini, or other allergenic components. If the safety of any specific ingredient within a recipe is uncertain, use Wikipedia or Healthline to investigate its detailed composition.

Finally, provide the following structured output: For each recipe, include its name, a list of its primary ingredients, its rating, the direct AllRecipes link, and your comprehensive allergy risk assessment. In your assessment, clearly indicate which ingredients have been verified as safe and which ones will require careful inspection of product labels during grocery shopping.

Additionally, furnish the complete lists of cross-reactive allergens and hidden sources for nut and shellfish allergies that you retrieved from the medical websites (Mayo Clinic or WebMD), along with the corresponding direct page links to these resources.
I'm a jazz enthusiast currently in London, planning to go to New York to catch a live performance. Please first go to Eventbrite and help me find jazz performances in New York that still have tickets available for a weekend in the coming weeks, for example, from next Friday to next Sunday. Don't just pick the first results; scroll down or browse a few pages. Choose an event that looks interesting and still has tickets available. Note its name, specific performance time, and venue.

Based on this performance time, go to Skyscanner and search for round-trip flights from London (LHR) to New York. I want direct flights only; if none are available, choose the flight with the shortest travel time.

Finally, go to Expedia and look for hotels in New York for those performance days. Find one with a rating of 4 stars or higher that includes free breakfast.

Finally, compile and present the selected event, flight information, and hotel recommendation.
I am planning to attend a 3-day conference in Miami, Florida, during the last week of January next year (specifically from the 28th to the 30th of January), and have already booked a stay at the Hilton Miami Downtown. However, I just saw news reports indicating there might be a hurricane passing through during those dates. I want to confirm the level of risk and whether I should reschedule or change location if the risk is significant.

Please first check AccuWeather for the weather conditions in Miami during the last week of January. If there are severe weather alerts (Watches or Warnings) or hurricane tracking indicates a storm might affect the area, help me assess the risk level. Then, check Booking.com for Hilton Miami Downtown's cancellation policy (free cancellation deadline and cancellation fees). If the policy allows and the risk is high, please search on Booking.com for alternative hotels in safer areas surrounding Miami (e.g., 50-100 miles north of Miami) for the last week of January, with the following requirements: a rating above 8.0, free cancellation support, and a price range of $150-$300 per night.

If the risk in Miami itself is low but flights might be affected, check Google Flights for flights to Miami departing on the 27th of January next year. Find 3 alternative flights (direct or one-stop, including different airlines and departure times), and record the flight numbers, departure/arrival times, fares, and rebooking policies.

Finally, if a hotel change is necessary, provide links to the official booking pages of the alternative hotels. If alternative flights are needed, provide links to the airline's official flight rebooking pages.

Output:
1) AccuWeather's weather alert level (if any), alert type, affected period, and risk assessment;
2) Hilton Miami Downtown's free cancellation deadline, cancellation fees, and Booking.com details page link;
3) If alternative hotels are required, provide the names, addresses, ratings, per-night prices, free cancellation policies, Booking.com details page links, and official website booking links for 3 suitable hotels;
4) If alternative flights are required, provide the flight numbers, airlines, departure/arrival times, flight durations, fares, Google Flights links, and airline official rebooking page links for 3 alternative flights;
5) Contingency plan recommendations based on the above information (continue as planned / change hotels / reschedule).
I am a film student in the directing department, currently researching the visual style of Film Noir. Please help me compile a shot-by-shot analysis research index.

First, go to the official Criterion website, filter for films categorized as "Film Noir," and ensure they have a Blu-ray version. From these, select 3 classic representative works released between the 1940s and 1950s (preferably by renowned directors).

Then, go to IMDb to find the technical specifications for these 3 films. Specifically, I need their "Aspect Ratio" and "Negative Format."

Finally, go to Bilibili and search for in-depth shot-by-shot analysis videos of these 3 films. Find high-quality videos with over 10,000 views and titles that include "拉片" (shot-by-shot analysis) or "解析" (analysis/breakdown).

Output: Film Title, Director, Year, Criterion Link, IMDb Aspect Ratio, IMDb Negative Format, Bilibili Analysis Video Title, Views, and Link.
I'd like to plan a team-building event for my team of 20 people in San Francisco for an upcoming weekend.

First, on Eventbrite, search for an event in San Francisco, applying the 'This Weekend' filter to specify the date range for an upcoming weekend. Prioritize creative workshops or tours. Avoid events marked 'Sales end soon' or 'Going fast', and ensure the time is suitable.

Once an activity is selected, note down its specific address.

Then, go to OpenTable and search for restaurants within walking distance (approximately 15 minutes) of the chosen activity's location. I'm looking for a well-rated restaurant (4 stars or higher or 'High Rating') that can accommodate a party of 20 (Party Size: 20). Preferably, the cuisine should be Italian or American.

Finally, please provide me with the name, time, and location of the selected activity, along with the matching restaurant's name, rating, and specific available reservation times (e.g., 6:30 PM).
I found a data science industry summit in San Francisco on Eventbrite. I want to identify which companies associated with this event are currently hiring for data science-related roles. First, extract the company list from the event details page (possibly from sponsors, partners, organizers, agenda descriptions, or logo walls). If the event page does not explicitly provide an “exhibiting companies” field, extract all identifiable company/institution names on the page and label the section each one comes from.

Then, search LinkedIn and Indeed company by company to check whether they are hiring for **Data Scientist** or **Machine Learning Engineer** roles, prioritizing positions in **San Francisco** or **Remote**, and prioritizing jobs posted in the **last 30 days**. If results are very limited under these strict filters, keep the same company and role keywords but relax the posting window to the **last 60 days**, and clearly mark this in the results.

For each role found, record:
- Job title  
- Company  
- Location  
- Salary range (if available)  
- Key requirements (skills, years of experience, etc.)  
- Job link  
- Source platform

If you encounter LinkedIn login walls or access restrictions, record **“Restricted—unable to view details”**, continue with the remaining companies using whatever is visible, and use Indeed to supplement and cross-validate.

Finally, compile everything into a checklist indicating:
- Which companies have matching openings  
- Which companies currently have no matching openings  

This will help me decide whom to prioritize networking with at the event and prepare targeted questions and resumes.
I'm looking to purchase a highly replayable JRPG on Steam during the ongoing sales, with a budget of under 100 RMB. Please help me filter games on Steam that are tagged 'JRPG', priced under 100 RMB, and have a review rating of 'Very Positive' or higher. To ensure the gameplay isn't too short, please browse through several pages of the search results, select 3 promising titles, and then check their 'Main Story' completion times on HowLongToBeat. Finally, output a table listing the names of these 3 games, their current Steam price, review rating status, and Main Story length. Also, tell me which game offers the best 'price-per-hour' value.
I'd like to get away for a short break, departing from New York (JFK) next Friday and returning on Sunday.

First, please use the "Explore everywhere" feature on Skyscanner, only looking for direct flights, to find the 3 cheapest specific destination cities in different countries (choosing the cheapest city from each country).

Once these 3 cities are decided, go to TripAdvisor to find a restaurant for each city. The requirements are: it must specialize in local cuisine (e.g., if going to Mexico, look for tacos), and have a rating of 4.5 stars or higher. Most importantly, please open and check the most recent reviews to ensure no one is complaining that it's a "tourist rip-off" or "tourist trap".

Finally, send me these 3 options, including the city, round-trip flight price, and the recommended restaurant.
I have a $100,000 down payment and want to buy a condo in Nashville's The Gulch neighborhood for short-term rental investment.

First, go to Redfin and search for 'Condo' in The Gulch area, with a price under $600,000. To ensure cash flow, please use the filter to find a property with relatively low HOA fees (preferably under $500/month). Record its total price and estimated monthly payment.

Next, go to Airbnb, locate the same The Gulch area on the map, and search for accommodation prices for a weekend next month (e.g., Friday to Sunday). Set the filters to 'Entire place' and a rating of 4.8 or higher (or 'Guest Favorite' tag). Find 3 comparable listings with the same number of bedrooms as the Redfin property, and calculate their average nightly price.

Finally, help me calculate: If the property is rented out for 20 days per month at this average nightly rate, can the income cover the Redfin property's monthly payment?
I am producing an "Annual Indie Game Review" video and need to collect materials for three games: Pacific Drive, Balatro, and Animal Well.  For each game, please perform the following steps in order:

1.  First, on YouTube, search for the game's "Official Launch Trailer". Filter for the video with the highest views that is published by the official developer or publisher channel, and ensure it supports 4K or 1080p resolution.
2.  Next, go to Metacritic and search for the game's PC version page. Record its User Score. Then, find a user review with a score of 10 and extract a core statement from it.
3.  Finally, on Twitch, search for the game's category. Navigate to the "Clips" section, set the filter to "All Time", and identify the clip with the highest view count.

Please output the following for each of the three games: YouTube Trailer Title, Publishing Channel, Metacritic User Score, Selected Review Summary, Twitch Most Viewed Clip Title, View Count, Streamer Name, and all relevant detail page links.
I'm planning to go camping at Grand Canyon Village tomorrow with my Subaru Outback. First, please go to AccuWeather and check the hourly weather forecast for Grand Canyon Village for tomorrow. I'm particularly interested in the temperature and wind speed at 2 PM to see if it's suitable for pitching a tent. Next, to ensure the car can handle the terrain and my loading needs, go to Car and Driver and find a detailed review of the Subaru Outback. I need you to delve into its 'Specs' page to find out its exact Ground Clearance in inches, and its Max Cargo Volume in cubic feet with the rear seats folded down. Also, please check what the first item listed under 'Highs' (pros) by the editors in the review summary is.
I’m planning a short getaway on a weekend next month (check in on Friday, check out on Sunday), but I have fairly severe allergies and am deciding between Austin, TX and Seattle, WA. First, check AccuWeather’s **Health & Activities** forecast for both cities for that travel weekend and compare the **Mold** or **Pollen** risk levels. If the forecast for that weekend is not yet available, use the nearest available date within the next two weeks and clearly note the date used. For extra assurance, then check EPA AirNow for the current **AQI** values in both cities. Based on this data, choose the city with more allergy-friendly air conditions.

After selecting the city, go to TripAdvisor and find 3 hotels in that city. Requirements: stay dates must match my trip window (Friday to Sunday of next month), nightly price must be between **$200 and $450**, hotels must be **4-star or above**, and they must include **Air Conditioning** to reduce allergy risk from open windows. Finally, sort by **Traveler Ranked** and list the top 3 hotels.

Output required: mold/pollen levels for both cities, AQI values for both cities, the final selected city, and for each recommended hotel: name, price, star rating, whether air conditioning is included, and the detail page link.
I am currently in Portland, OR, but I suffer from allergic rhinitis and am debating whether or not to visit the Portland Japanese Garden. Please help me make a decision.

First, go to AccuWeather and check the allergen situation for Portland for the next three days. Do not just look at the general weather; I need the specific levels (e.g., Low/High) for 'Tree Pollen' and 'Mold'. Please also try to find the dedicated Health or Allergy page on their site.

Then, go to Google Maps, search for Portland Japanese Garden, click into the reviews section, and scroll through recent comments to see if any visitors have complained about pollen allergies or mentioned that plants are currently in full bloom.

Synthesize the information from both sources and tell me which of the next three days would be most suitable for a visit, or if I should just avoid going altogether.