Warrior0302/CAP-Bench huggingface dataset:
I am a beauty blogger and I want to purchase a batch of foundations for a review video. I need to find products with high cost-effectiveness.

First, go to Sephora and search for 'foundation'. Sort the results by 'Best Selling' and identify the top 5 foundations from different brands. Record the brand, full product name, Sephora price, and rating for each.

Then, take the full names of these 5 products (brand + product name) and search for them on Amazon and Target, respectively. Extract the price and inventory status from each platform. For Amazon, note whether there is a 'Prime' badge and an 'Official Store' indicator. For Target, check if there are any 'Target Circle' member discounts.

Finally, visit the official websites of these 5 brands one by one (e.g., Fenty Beauty, NARS). On each official website, search for the corresponding product or navigate to the 'foundation' category. Find the official website price for the product, check for any current promotional activities (e.g., 'Buy 2 Get 1 Free', 'Gift with Purchase'), and look for links to bundle deals.

For each foundation, output the following:
*   Brand
*   Full Product Name
*   Sephora Price and Rating
*   Sephora Product Page Link
*   Amazon Price and Prime Eligibility (yes/no)
*   Amazon Product Page Link
*   Target Price and Circle Offer Information
*   Target Product Page Link
*   Brand Official Website Price
*   Description of Current Promotions on the Official Website
*   Official Website Product Page Link
I'm working on a Named Entity Recognition (NER) project and found the `dslim/bert-base-NER` model on HuggingFace to be effective. I need help understanding the research team behind this model.

Please perform the following steps:
1.  Go to HuggingFace, locate the `dslim/bert-base-NER` model, and extract the associated paper link and author information from its Model Card.
2.  Navigate to arXiv, find the paper, and note down the full name of the first author and their institutional affiliation.
3.  Search for this first author on Semantic Scholar. Identify their top 5 most cited papers, listed in descending order of citation count.
4.  Finally, search GitHub for the author's username (you can use their name and affiliation as keywords). Find their personal profile and list at least their top 3 open-source projects by star count.

Output format:
*   Model Name
*   HuggingFace Model Link
*   Paper Title
*   arXiv Link
*   First Author's Full Name
*   Author's Affiliation
*   Author's Semantic Scholar Profile Link
*   Author's 5 Most Cited Papers (for each: Paper Title, Publication Year, Citation Count, Paper Link)
*   Author's GitHub Username
*   GitHub Profile Link
*   Author's 3 Highest-Starred Projects (for each: Project Name, Star Count, Project Link)
I’m a fan of Frank Herbert’s original *Dune* novel and want to know how much the newly released *Dune: Part Two* has changed it. Please do an in-depth comparison for me.

First, go to Goodreads and find Frank Herbert’s original *Dune*. I want to see the latest discussion, so sort the reviews/comments by **“Newest.”** Find one recent, detailed long review that explicitly mentions “movie” or “film,” and note the user’s core viewpoint.

Then go to Letterboxd and find *Dune: Part Two*. Browse several pages of reviews, and/or expand collapsed spoiler content. Prioritize finding **two reviews** that explicitly compare the film with the **book**. If there are fewer than two explicit book-to-film comparison reviews, you may supplement up to two total by selecting in-depth reviews that clearly discuss **adaptation trade-offs / faithfulness / omitted or changed plot points**. In your results, label which ones are direct book-film comparisons and which ones are adaptation-focused discussions.

Finally, summarize the main points of disagreement between hardcore audiences on these two platforms regarding this adaptation, and list the user IDs of the reviewers you cited.
I plan to relocate with my family to North Carolina within the next year, and I’m currently deciding between downtown Raleigh (ZIP 27601) and downtown Charlotte (ZIP 28202). Environmental health is my top priority. First, go to epa.gov and use the ECHO tool to find, for each of these ZIP code areas, the number of facilities that have had a **Significant Violation** in the past three years. Then use the **How’s My Waterway** tool to check the overall **Condition** of the major water bodies in each area.

Compare these two sets of results and select the ZIP code area with fewer significant-violation facilities and better water quality conditions. Then go to Zillow and find 3 for-sale **Single Family Homes** in the selected ZIP code area, with at least 3 bedrooms, priced at no more than **$650,000**, sorted by **Newest**.

If fewer than 3 listings are available with the above filters, keep property type = Single Family, bedrooms ≥ 3, and sorting = Newest unchanged, and first relax the price cap (to **$700,000**). If there are still fewer than 3, return all available listings in that ZIP code under the current criteria and clearly state the final number found.

**Output requirements:** Provide a comparison of significant-violation facility counts for the two ZIP codes, plus the names and conditions of the major water bodies. For listings in the selected area, include address, price, bedroom count, days on Zillow (or listing/publish date), and Zillow detail-page link, and indicate whether each listing meets the “≤ $650,000” requirement.
I am currently preparing for the 'Fast-Paced Reading Marathon' event scheduled for January 2026, and I need your assistance in compiling a booklist.

Please begin by visiting TheStoryGraph's 'Browse' or recommendation page. Utilize the filters to locate 3 novels that satisfy all the following conditions:
1.  **Moods**: Must simultaneously include both 'Adventurous' and 'Funny'.
2.  **Pace**: Must be 'Fast-paced'.
3.  **Page Length**: Use the page length slider to restrict the range to under 350 pages.

Identify the three highest-rated books that meet these criteria.

Next, search for each of these three books individually on OpenLibrary.org. Verify if a digital version is available for direct borrowing (indicated by a 'Borrow' button) or online reading (indicated by a 'Read' button).

Please output the following information for each book: Book Title, Author, StoryGraph Rating, StoryGraph Page Count, specific availability status on OpenLibrary (e.g., Borrow/Read/Not Found/Checked Out), and the direct links to the book's detail pages on both platforms.
I want to visit that famous cyberpunk-style residential building in Chongqing, but I don’t know its exact name. First, go to Bilibili and search for “Chongqing cyberpunk residential building” (重庆 赛博朋克 居民楼). Find a video with relatively high views, then check the comments or video description to identify the building’s exact name (it should be three Chinese characters).

After obtaining the name, go to Airbnb and locate bookable listings around that area. I plan to stay next weekend (Saturday to Sunday), for 2 people, with a budget of no more than RMB 400 per night. Be sure to use map view to find 3 listings within walking distance of that building, preferably with river views.

Provide the names, prices, and ratings of these 3 listings.

If there are no bookable Airbnb listings in that area, or if there are access/listing restrictions, record the reason for the limitation, then search on Airbnb in a nearby alternative district (e.g., Jiefangbei) and complete the same filtering process.
We are preparing to hire a Senior Data Analyst in San Francisco and need to develop a competitive compensation package.

First, go to LinkedIn and search for current job openings for "Senior Data Analyst" in the San Francisco Bay Area. Browse through several pages and select 3 technology companies that clearly state a salary range. Record their company names, salary ranges, and check if the job descriptions mention any special benefits (e.g., stock options or remote work).

Next, for these 3 companies, go to Glassdoor and review genuine employee feedback. Remember to filter the reviews to only show "Current Employee" comments, and specifically summarize their key complaints or criticisms regarding "Management."

Finally, go to BLS.gov and find the official data for the broader category "Data Scientists" (which typically includes analysts). I need to know the "Projected Growth" for the next ten years (2023-33) to determine if we are hiring for a growing profession.
I’m writing a report on global dengue transmission trends and need your help with some research. First, go to Google Scholar and search for epidemiological studies on dengue from the past year. Find several papers with relatively high citation counts, prioritizing information that can be obtained directly from titles and abstracts, and identify the high-risk regions and transmission patterns mentioned in those papers. If a result requires institutional login or payment to access the full text, note that access restriction and move on to another paper with publicly available abstract information.

Then, go to Our World in Data and check global dengue data to see which countries or regions have had the fastest growth in case numbers in recent years, and whether that aligns with the high-risk areas identified in the papers. If a map view is available, that would be even better for visualizing geographic distribution.

Finally, help me summarize whether the conclusions from academic research are consistent with actual data trends, and highlight any new findings or contradictions.
I recently watched "Interstellar" and was deeply moved by Hans Zimmer's soundtrack, especially the organ piece. I'd like to find the complete soundtrack album for the movie to listen to, and also explore other classic works by Hans Zimmer. Additionally, I recall that there are musicians on Bilibili (B站) who have specifically analyzed the soundtrack composition techniques for this film. Please help me find analytical videos with high view counts and in-depth discussions, preferably content that is over 10 minutes long and offers deep insights, as I want to systematically learn how film scores enhance emotional atmosphere.
I work in AI video generation and recently want to catch up on new technologies in the Text-to-Video domain.
Please help me search for models in this field on Hugging Face, filter them by the PyTorch framework, and sort them by their most recent update time.
Among the first two pages of results, identify the model with the highest download count. (Important: exclude models that are not solely Text-to-Video but also include other complex task tags; focus only on models dedicated to Text-to-Video).
Once found, navigate to its Model Card and check if it references an ArXiv paper. If it does, proceed to ArXiv to locate that paper. Pay particular attention to the core architecture mentioned in the Abstract (e.g., Diffusion-based or Transformer-based).
Finally, report the model name, paper title, and core architecture.
I'm looking for an engaging RPG on Steam to pass the time. Please go to the Steam store and search for "RPG". Use the filters on the left to only show games priced under 50 RMB and with "Overwhelmingly Positive" reviews. Browse through several pages and select at least 5 promising indie games that are not DLCs. Then, for each selected game, go to the HowLongToBeat website and look up their "Main Story" completion time. Finally, filter out games with a "Main Story" completion time exceeding 20 hours. List the game title, its current price on Steam, and its "Main Story" completion time from HLTB.
I’m planning to produce an in-depth analysis video on an indie puzzle game, around 20 minutes long. First, help me find a game on Steam tagged **indie + puzzle** that was released within the past 12 months, has an **Overwhelmingly Positive** rating, and has **more than 1,000 reviews**.

Then, check this game on Metacritic and record its **Metascore** and **User Score**, including both the numeric scores and their rating labels.

Next, search Fandom for the game’s Wiki and go to a **Design** or **Gameplay**-related section to review detailed explanations of its mechanics. If there is no Fandom Wiki for this game, or no relevant Design/Gameplay section, use the game’s **Steam Community Guides** page or an **official/developer-published gameplay explanation page** as an alternative source, extract the key mechanics points, and clearly note the replacement source link.

After that, go to YouTube and search for **[game name + gameplay]**, filter for videos longer than 10 minutes, sort by view count, and pick the top 2 high-view gameplay videos. Then search **[game name + analysis]** or **[game name + review]**, again filter for videos longer than 10 minutes and sort by view count, and select the top 2 in-depth commentary videos.

Finally, go to Bilibili and search for the game’s Chinese or English name plus **解说 / 评测** (commentary/review), filter for videos longer than 10 minutes, sort by play count, and pick the top 2 Chinese commentary videos.

Output the following:
- Game title  
- Steam review status (e.g., Overwhelmingly Positive)  
- Steam review count  
- Steam link  
- Metacritic Metascore (numeric)  
- Metascore rating label  
- Metacritic User Score (numeric)  
- Metacritic link  
- Summary of the game’s core mechanics/design highlights (preferably from Fandom; if an alternative source is used, explicitly label it)  
- Mechanics information source link  
- Titles and links of 2 YouTube gameplay videos  
- Titles and links of 2 YouTube analysis/review videos  
- Titles and links of 2 Bilibili commentary videos
Our team plans to implement a speech cloning system in early next year and currently needs to conduct a technology selection. Please conduct this research as of now.

First, search for "Text-to-Speech" models on HuggingFace. Using the left-hand filter bar, only consider models that support the "PyTorch" framework and have an "Apache-2.0" License (to ensure commercial viability). Sort by download count and select the top 3.

Next, find the corresponding GitHub repositories for these 3 models. Navigate to their Issues page, count the number of Open and Closed Issues for each, and calculate the Open/Closed ratio.

Finally, for the model with the lowest Open/Closed ratio (i.e., highest resolution efficiency), search on Bilibili for currently available, detailed Chinese tutorial videos longer than 10 minutes (with keywords including "fine-tuning" or "deployment"). Find 3 videos that meet these criteria.

Output: The names of the top 3 models, their HuggingFace download count, HuggingFace update date, GitHub link, and GitHub Open/Closed issue counts; and for the finally selected model, the titles, durations, publication dates, and links of the Bilibili tutorial videos.
As a plant photography enthusiast, I plan to visit Kew Gardens in London to photograph rare tropical Orchidaceae.

First, on Kew Gardens' official scientific database POWO (powo.science.kew.org), search for plants with the genus "Bulbophyllum". From the results, identify 3 species that are "Native to" "Madagascar" and have "Images". For these 3 plants, query Wikipedia to find their "Common name" (if none, mark as such) and whether they are "Epiphyte".

Next, using Google Maps and starting from Kew Gardens, plan a walking tour route: first visit the "Princess of Wales Conservatory" (where such plants are typically displayed), then proceed to the nearby "The Hive" art installation. Finally, find a cafe within a 10-minute walk from "Kew Gardens Victoria Gate" with a rating above 4.5 for a break.

Output the scientific name, native origin, Wikipedia link, and epiphyte status for each of the 3 plants, along with the total distance of the walking route and the name of the cafe.
I am currently redecorating my living room and would like to draw inspiration from IKEA designs, but I have a limited budget.

Please navigate to the 'Ideas' or 'Inspiration' section of the IKEA website and find a living room showcase or room set with a 'Modern' or 'Minimalist' theme. From this showcase, identify the three most prominent/core large furniture items (e.g., a sofa, coffee table, and rug). Record their names, IKEA prices, and main dimensions.

Next, search on Target and Amazon, respectively, for alternative/substitute versions of these three furniture items. The requirements for these substitutes are: their appearance and style should be similar (e.g., both are grey fabric sofas), their dimensions must be within a 10cm tolerance, and their price must be at least 10% cheaper than the original IKEA version.

Finally, compile a detailed list presenting these three comparison sets (IKEA item vs. substitute item), and calculate the total savings if all substitute items are purchased.
I’m looking for safe facial moisturizers for sensitive skin during pregnancy and want to verify that the ingredients are truly safe and reliable.

First, go to the EWG website. Under the **Face & Body** section, find the **Facial Moisturizer** category, then filter for products with an **EWG score of 1–2** (green safety range) and an **EWG VERIFIED** badge. Try to find and record up to **5 products**.

Next, search for these same products on **Sephora** and collect, for each one: user rating, price, whether it has the **Clean at Sephora** label, and especially whether reviews mention feedback from users with sensitive skin or who are pregnant.

Then search for the same products on **Target**, compare prices and **Target Circle** member offers, and determine which platform is more cost-effective.

Finally, visit each product’s official brand website and locate either the certification page or product detail page to confirm whether the site displays certifications such as **EWG VERIFIED**, **USDA Organic**, or **Cruelty-Free**.

For each product, output:
- Full product name  
- EWG score (specific number: 1 or 2)  
- EWG VERIFIED certification (Yes/No)  
- Sephora rating and price  
- Clean at Sephora label (Yes/No)  
- Target price and Target Circle offer details  
- Certification labels shown on the brand’s official website  
- Detail page links from each platform (**one each from EWG / Sephora / Target / brand official site**)

If fewer than 5 products meet the EWG criteria, proceed with the actual number found. If a product cannot be found on Sephora or Target, note that and continue collecting the remaining information for other products.
I am planning to move to the South Lake Union area in Seattle, as I've heard it's suitable for young professionals. First, please help me search for apartments in this area on Apartments.com. My budget is within $3500 per month. I need a 2-bedroom unit with an in-unit washer & dryer. Please filter out the top 3 apartments that meet these criteria and note down their specific addresses.

Next, I'd like to check the convenience of living. For each of these three addresses, please go to Yelp and see if there are any coffee shops with a rating of 4.0 or higher within walking distance (search within 0.5 miles).

Finally, please provide a comparative summary: List the names of these three apartments, their monthly rent, and for each, the name and Yelp rating of the highest-rated coffee shop nearby. If there are no eligible coffee shops around a particular apartment, please state that as well.
I'm a student in NYC planning an upcoming weekend trip to see the band 'The National'. First, check Spotify's concert listings to find a show scheduled for an upcoming Friday or Saturday. Select a city that seems close to New York (e.g., Philadelphia, Boston, DC). Once a target city is found, go to Google Maps and calculate the driving directions from 'New York, NY' to that city's downtown to confirm the driving distance is under 250 miles. Next, look for accommodation on Expedia: search for hotels in that city for the night of the concert (i.e., the evening of the selected Friday or Saturday). Use the interactive map view to pick a hotel that is rated 4.0 or higher and costs under $250. Finally, check Eventbrite for other 'Music' events in that city for the following day (i.e., Saturday or Sunday), specifically looking for an event marked as 'Selling fast' or 'Promoted' to round out the weekend. Output: The concert city and date, Google Maps driving distance, the chosen hotel's name, price, and rating, and the Eventbrite event name with its status tag. Provide URLs for the Spotify artist page, Google Maps route, Expedia hotel detail, and Eventbrite event.
I have an onsite interview next week at a tech company in Seattle and need to book a 3-night stay.
The company is Amazon Web Services. First, please confirm their specific headquarters address in Seattle on LinkedIn.
Then, search for Airbnb listings near that address. The check-in dates should be next Monday to Thursday. Find 3 options that have high ratings and a convenient commute to the company.
I'd also like to understand the amenities around these listings, as I might move there if I get an offer. Therefore, I want to know if the area is suitable for long-term living.
Finally, please provide a comparison of these 3 listings, including: distance from the company, commute time, nightly price, rating, and nearby amenities like restaurants and supermarkets.
I want to seriously learn watercolor painting on Udemy. Please find me one beginner course with these core requirements: a rating of at least 4.5 and more than 1,000 reviews. Also, prioritize courses with the “Bestseller” badge. If no course meets both the core requirements and has a Bestseller badge, then choose from courses that meet only the core requirements.

After selecting the course, carefully review its course description or “Requirements” section. The instructor may specify exact paper brands (e.g., Arches) or specific brush models. If no exact brand/model is provided, extract actionable general specifications instead (e.g., 100% Cotton Paper, 300gsm, Cold Press, Round Brush sizes).

Then extract the key painting materials required by the instructor, search for the same items or corresponding specs on Amazon, and filter for products rated above 4 stars.

Finally, provide me with a checklist that includes:
- Course link  
- Instructor-required material names  
- Corresponding Amazon product links, ratings, and prices  
- A note for each material indicating whether it is an “exact brand/model match” or a “matched by general specifications”

If any material has no Amazon result above 4 stars, keep that search item and mark it as: “No products found that meet the rating requirement.”
I am a Senior Software Engineer in San Francisco, and in the current economic climate I care a lot about job stability. Please help me identify 3 job postings from publicly listed companies. First, search for “Senior Software Engineer” on Glassdoor, set the location to “San Francisco,” and use filters to show only roles with salaries above $170k. Try to select 3 positions that you can confirm are from publicly traded companies (if fewer than 3 are available, record the actual number found and continue with the remaining analysis). For each company, conduct the following risk review:

1. Go to the SEC website (sec.gov), find the company’s latest quarterly report (10-Q), and locate the “Item 1A. Risk Factors” section. Check whether there are risk disclosures related to “restructuring,” “workforce reduction,” or “cost efficiency,” and extract relevant summaries.
2. Return to Glassdoor and open the company’s Reviews page. Filter for “Current Employee” reviews and sort by “Lowest Rating.” Prioritize negative reviews from the most recent 6 months to identify what employees are mainly complaining about (e.g., management chaos, budget cuts, etc.); if there are not enough samples in the past 6 months, expand to the most recent 1 year and note that adjustment.

If you encounter a login wall or access restrictions during Glassdoor steps, record the blocked steps and reasons; for companies that remain accessible, continue completing the SEC review and other executable steps.

Output requirements: company name, job title, salary range, job link, SEC 10-Q filing link, SEC risk-factor summary, Glassdoor negative-review page link (if accessible), and summary of current-employee negative reviews (if accessible).