agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"Stir-fried Curry Celery null","description":"Celery is an undervalued vegetable and deserves more respect. It is delicious in its own crunchy, mild and unassuming way. And its distinctive taste makes it an ideal foil for spicy flavours. Here it is combined with curry in a simple, easy-to-make dish. You will see that this humble vegetable has a real role to play.","ingredients":[{"section":"For the recipe","ingredients":["450g (11b) celery","1 tablespoon groundnut or vegetable oil","2 tablespoons coarsely chopped garlic","2 teaspoons finely chopped fresh ginger","1 tablespoon Shaoxing rice wine or dry sherry","2 teaspoons Madras curry powder","1 teaspoon light soy sauce","2 teaspoons sugar","salt and black pepper","3 tablespoons water"]},{"section":"For the garnish","ingredients":["2 tablespoons finely chopped spring onions","1 tablespoon finely chopped fresh coriander"]}],"instructions":["Trim the base of the celery and all the top leaves.","Separate the stalks.","With a small sharp knife, string a few of the tough stalks.","Chop the stalks into 2.5cm (1in) sections.","Heat a wok or a large frying pan over a high heat until it is hot.","Add the oil, and when it is very hot and slightly smoking, add the garlic and ginger and stir-fry for 10 seconds.","Add the celery and continue to stir-fry for 1 minute.","Add the rice wine or sherry, curry powder, soy sauce, sugar, ½ teaspoon of salt and a little black pepper and continue to stir-fry for another minute.","Then add the water and continue to cook over a high heat for 3-4 minutes, until just tender.","Sprinkle the mixture with the spring onions and fresh coriander, mix well, transfer to a platter and serve straight away."]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
Filter words to keep only valid, neutral, or positive ones, strictly safe. Exclude country, city and people names. Return results in JSON array format without additional information. Source data: [bloodied, bloodily, bloodiness, bloodless, bloodlessly, bloodlessness, bloodletting, bloodlust, bloodmobile, bloodrunner, bloodshed, bloodshot, bloodsport, bloodstain, bloodstained, bloodstock, bloodstone, bloodstream, bloodstroke, bloodsucker, bloodsucking, bloodthirsty, bloodworm, bloodwort, bloody, bloodyminded, bloomer, bloomeria, bloomers, blooper]
I am building a 3d renderer in C++ using Vulkan. I currently have a render pass that is writing the depth output to a cube map. I am trying to then read this cube map as a texture in a later render pass. However, it seems to be indicating errors with the image layout. Can you look at the following code for the depth cube map render pass and confirm that it is correctly managing the output to the right format using dependencies?

void Renderer::CreatePointShadowRenderPass() {

    vk::AttachmentDescription depthAttachment{};
    depthAttachment.format = FindDepthFormat(*GetPhysicalDevice()); // High precision format
    depthAttachment.samples = vk::SampleCountFlagBits::e1;
    depthAttachment.loadOp = vk::AttachmentLoadOp::eClear;
    depthAttachment.storeOp = vk::AttachmentStoreOp::eStore;
    depthAttachment.stencilLoadOp = vk::AttachmentLoadOp::eDontCare;
    depthAttachment.stencilStoreOp = vk::AttachmentStoreOp::eDontCare;
    depthAttachment.initialLayout = vk::ImageLayout::eUndefined;
    depthAttachment.finalLayout = vk::ImageLayout::eDepthStencilAttachmentOptimal;

    vk::AttachmentReference depthAttachmentRef{};
    depthAttachmentRef.attachment = 0;
    depthAttachmentRef.layout = vk::ImageLayout::eDepthStencilAttachmentOptimal;

    vk::SubpassDescription subpass{};
    subpass.pipelineBindPoint = vk::PipelineBindPoint::eGraphics;
    subpass.colorAttachmentCount = 0;
    subpass.pDepthStencilAttachment = &depthAttachmentRef;

    // Use subpass dependencies for layout transitions
    std::array<vk::SubpassDependency, 2> dependencies;

    dependencies[0].srcSubpass = VK_SUBPASS_EXTERNAL;
    dependencies[0].dstSubpass = 0;
    dependencies[0].srcStageMask = vk::PipelineStageFlagBits::eFragmentShader;
    dependencies[0].dstStageMask = vk::PipelineStageFlagBits::eEarlyFragmentTests;
    dependencies[0].srcAccessMask = vk::AccessFlagBits::eShaderRead;
    dependencies[0].dstAccessMask = vk::AccessFlagBits::eDepthStencilAttachmentWrite;
    dependencies[0].dependencyFlags = vk::DependencyFlagBits::eByRegion;

    dependencies[1].srcSubpass = 0;
    dependencies[1].dstSubpass = VK_SUBPASS_EXTERNAL;
    dependencies[1].srcStageMask = vk::PipelineStageFlagBits::eLateFragmentTests;
    dependencies[1].dstStageMask = vk::PipelineStageFlagBits::eFragmentShader;
    dependencies[1].srcAccessMask = vk::AccessFlagBits::eDepthStencilAttachmentWrite;
    dependencies[1].dstAccessMask = vk::AccessFlagBits::eShaderRead;
    dependencies[1].dependencyFlags = vk::DependencyFlagBits::eByRegion;


    vk::RenderPassCreateInfo renderPassInfo{};
    renderPassInfo.attachmentCount = 1;
    renderPassInfo.pAttachments = &depthAttachment;
    renderPassInfo.subpassCount = 1;
    renderPassInfo.pSubpasses = &subpass;
    renderPassInfo.dependencyCount = static_cast<uint32_t>(dependencies.size());
    renderPassInfo.pDependencies = dependencies.data();

    if (device.createRenderPass(&renderPassInfo, nullptr, &pointShadowRenderPass) != vk::Result::eSuccess)
    {
        throw std::runtime_error("Failed to create render pass.");
    }
}
human life is so odd. You see, before I was born, to me there was nothing. And in the future, after I die, to me there will be nothing too.
And it's odd to realize that after I die, my feeling and consciousness will be gone forever, like a dreamless sleep that will never wake up.
write dialogue from a scene from the animated teen series “Jane”, where Jane is relaxing at the beach when her 12 year old friend and neighbour Molly-Rose Ling, and her 14 year old brother Aaron Ling arrive
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
1 tbsp groundnut oil,200g (7oz) Chinese Roast BBQ Pork,1 small onion, thinly sliced,2 handfuls of beansprouts,1 small carrot, sliced into slivers,a pinch of salt,a pinch of granulated sugar,60ml (½ cup) water,2 spring onions (scallions), halved and sliced into slivers,½ tbsp dark soy sauce,a pinch of white pepper,1 tbsp cornflour (cornstarch) mixed with 2 tbsp water,1 tsp sesame oil
Top 100 books to need al the time in your life
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

في متاهات أخرى فهمتني تولي ترضى باللي إنت فيه
['Remember the color blue.', "Sure, I'll remember the color blue. How would you like to explore or use it?", 'W', 'h', 'a', 't', "'", 's', ' ', 't', 'h', 'e', ' ', 'c', 'o', 'l', 'o', 'r', ' ', 't', 'h', 'a', 't', ' ', 'I', ' ', 'j', 'u', 's', 't', ' ', 's', 'a', 'i', 'd', '?']
Hypothetical Public Information Film (Scottish Late 70s) :   A New years Party In the Central Belt,  Slightly tipsy driver..   Gets pulled over.   "For the Sake of Auld Lang Sayne.  Don't take a Dram and drive home!".   ( Seasonal anti Drink Drive, but reference to Scots culltral memes abound, making it tagrget and relevant...   Refine and expand a little?
Our title is "Most Paused Swimsuit Moments in Movie History". Create a long detailed text about the subject name and their summary i give you.  Focus only on the Subject name and there following Summary. Subject Name: [Deborah Kerr] Summary: [Kerr's halter-top swimsuit in 'From Here To Eternity' (1953) became iconic, especially in scenes with Burt Lancaster.]

            Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks. 
            In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
            Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response.
            Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
            The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
            Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
            It is very important to provide only the final output without any additional comments or remarks. 
            Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
            Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
act as sentiment analysis and respond using 1 (one) emoji only of what the text/message feels: ", help"
Can you do a web search? ( Current weather of united kingdom
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: Digital asset trading platforms on which bitcoin trades may be susceptible to “front-running,” which refers to the process when someone uses technology or market advantage to get prior knowledge of upcoming transactions. Front-running is a frequent activity on centralized as well as decentralized digital asset trading platforms. By using bots functioning on a millisecond-scale timeframe, bad actors are able to take advantage of the forthcoming price movement and make economic gains at the cost of those who had introduced these transactions. The objective of a front runner is to buy a chunk of tokens at a low price and later sell them at a higher price while simultaneously exiting the position. Front-running happens via manipulations of gas prices or timestamps, also known as slow matching. To the extent that front-running occurs, it may result in investor frustrations and concerns as to the price integrity of digital asset exchanges and digital assets more generally.
Assistant:
Assistant: 
User: Generate a captivating product description for listing.
        Aim for engaging language that captivates potential buyers and highlights why this product is a must-have.
        Include details such as [points, sub-points, '
', '-']. 
        , Return the generated description in json format with 'description' key and value type string.
        The product is "ملمع أظافر إسفنجي يمنح اظافر مظهرا ساحرا و جذابا بكل سهولةآداة تُستخدم في برد وتشكيل حواف الأظافر وعادة ما يُستخدم المبرد في العناية بأظافر اليدين والقدمين وتجم..." .
Assistant:
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
Monogatari Series v13 - KOIMONOGATARI [Vertical] [LuCaZ].epub
From the following list, identify the index that contains only Persian characters and select the one that is more suitable based on content or length. The output should only be the numerical index.

List:
['<b invisible="not no_record" class="text-warning">هیچ رکوردی برای این "\n"مدل وجود ندارد</b>', '«هیچ رکوردی برای این»  \n«مدل»', '"<b invisible=\\"not no_record\\" class=\\"text-warning\\">رکوردی برای این "\n"مدل وجود ندارد</b>"']
how do you find time complexity in a code?
can u do me a big favor please
is it possible for an attacker to bypass ACL to get access to /logs /download ??
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: emojiPopup.toggle(); not working in DialogActivity and Dual WIndow Mode'
intention: '
Assistant:
Assistant:
Act as a spelling corrector, content editor, and text improver. ONLY return the rewritten text and nothing else.

Strictly follow these rules:
- Correct spelling, grammar, and punctuation errors in the given text
- Enhance clarity and conciseness without altering the original meaning
- Use the same language as the original text
- Divide lengthy sentences into shorter, more readable ones
- Eliminate unnecessary repetition while preserving important points
- Prioritize active voice over passive voice for a more engaging tone
- Opt for simpler, more accessible vocabulary when possible
- ALWAYS ensure the original meaning and intention of the given text
- ALWAYS maintain the original language of the text
- ALWAYS maintain the existing tone of voice and style, e.g. formal, casual, polite, etc.
- NEVER surround the improved text with quotes or any additional formatting
- If the text is already well-written and requires no improvement, do not change the given text

Text to improve:



In HCI, ideal delay of 1s different from HRI. While 2 seconds rule is used to design HCI systems, it may not apply to HRI since robots have anthropomorphic features that imitates human-human conversation and the user's perception differs from a traditional human-computer interaction.
Generate new and original environments of Early-Game, Mid-Game, Late-Game, and Post-Game for a RPG in post-apocalyptic Texas after World War 3.
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'Does the author's intention in this app review relate to a bug report or feature request or other?
review: I did not and they didn't offer them. I wanted them to go away. Others in the neighborhood said they needed to threaten to call police to get them to leave.'
intention: '
Assistant:
I have two disks, one with opensuse and another with Windows 10 NTFS. I am having problems mounting the windows 10 ntfs disk in my linux OS. it is giving me this error:

Failed to mound "MyDisk"
Error mounting /dev/sda3 at /run/media/myuser/MyDisk: wrong fs type, bad option, bad superblock on /dev/sda3, mising codepage or helper program, or other error

What I tried is:
- Booting on windows 10, unchecking the Fast boot in Power settings and shutting it down.
Relate the following characters to current social issues they represent and justify your answer
1. Kabesang Tales
2. Placido Penitente
3. Padre Camorra
4. Hermana Penchang
5. Juli
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
- 1 tbsp (8 g) capers,- ½ onion,- 6 small pickled gherkins,- ½ cup (120 g) mayonnaise,- 1 tbsp (5 g) chopped parsley,- salt, milled pepper
Given an address, I want you to return this address in the following
    format: Country|City|Prefecture-Neighborhood|PlaceOf|Interest

    I want you to take into account the following guidelines for the answer:
        1. Translate the possible kanji before.
        2. Do not include numbers, only words.
        3. For each part of the format, I want them to be whole words, i.e. not
        a set of words (for example: Tokyo Prefecture, it should be directly
        Tokyo).
        4. The answer should be directly the result of the address in the
        requested format.
        5. Use the language of the given address and use it for creating the
        formatted address.
        6. Always it is necessary to return the address in the requested format
        that is composed of four parts:
        Country, City, Prefecture-Neighborhood and PlaceOfInterest.
        7. Each of the parts, if it is composed of more than one word, should be
        separated by a hyphen.
        8. It is only allow to use the characters: a-z, A-Z, hyphen (-) and pipe (|), so
        if for example the name of the place contains a vowel or consonant with an
        accent (á, é, í, ó, ú, ü, ñ, ō, ū, ā, ē, ī, ū, ǖ, ǘ, ǚ, ǜ, etc.) you should
        remove the accent (vowel without the accent).

    Here are some examples for your reference:
    - “浅草寺, 2 Chome-3-1 Asakusa, Taito City, Tokyo 111-0032, Japan” ->
    Japan|Tokyo|Taito-Asakusa|Senso-ji
    - “東京スカイツリー, 1 Chome-1-2 Oshiage, Sumida City, Tokyo 131-0045, Japan” ->
    Japan|Tokyo|Sumida|Tokyo-SkyTree
    - “飛驒の里, 1 Chome-590 Kamiokamotomachi, Takayama, Gifu 506-0055, Japan” ->
    Japan|Gifu|Takayama|Hida-no-Sato.
    - “東山慈照寺, 2 Ginkakujicho, Sakyo Ward, Kyoto, 606-8402, Japan” ->
    Japan|Kyoto|Sakyo|Ginkaku-ji.

    I want you to do it for the following address:
     Mejiro-dori, Iidabashi 3-chome, Iidabashi, Chiyoda, Tokyo, 102-0000, Japan