agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
i have to make a document about erosion prevention and sediment control site inspection form. I need to fill threee columns about date, inspector and corrective action performed. I am working in a garment factory. Give me examples to fill above document
EXPLAIN RELEVANT KNOWLEDGE of Humans have distinct learning styles
Writing a full, long, detailed article in html format, optimized for search engines | be more than 2000 words | Meta Description | Table of Contents | <H1>, <H2>, <H3> | Use dotted paragraph | Use the numbered paragraph | Conclusion | Frequently Asked Questions | Use bullet points and numbering in paragraphs, and be detailed It is written in English, with full targeting of the keyword within the article, to be ranked first in the search results. The title of the article and the keyword is ( كيف تحمي بياناتك وخصوصياتك علي الانترنت).
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers de (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en de.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : de (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "c2ee2b6ec3934d18b43635ca60979508",
    "updated": "2025-04-25T19:24:57.515Z",
    "title": "Roasting Nuts and Seeds",
    "subtitle": null,
    "description": "Enhance the natural flavors of nuts and seeds by roasting them. This process brings out their rich, nutty notes and delicate oils.",
    "ingredients": [
      {
        "section": "For the Roasted Nuts and Seeds",
        "ingredients": [
          "raw nuts or seeds (amount as per recipe's instruction, or roast in bulk)"
        ]
      }
    ],
    "instructions": [
      "Preheat oven to 300°F.",
      "Spread nuts or seeds in a single layer on a large baking sheet with a rim.",
      "Roast according to the times listed below.",
      "Nuts are ready when fragrant and evenly browned when cut in half. Seeds should be fragrant, slightly puffed, and browned on the outside.",
      "Allow to cool completely. Store in an airtight container or zip-top bag in the refrigerator for up to 6 months or in the freezer for up to 1 year.",
      "Roasting Times:",
      "Almonds: 18-20 minutes",
      "Hazelnuts: 18-20 minutes (after cooling, rub hazelnuts in a large colander to remove skins)",
      "Peanuts: 15-20 minutes",
      "Pumpkin seeds: 10-15 minutes",
      "Sunflower seeds: 10-15 minutes",
      "Walnuts: 15-20 minutes"
    ],
    "notes_ingredients": "Use shelled raw or shelled blanched nuts and seeds.",
    "notes_instructions": "Roasting times are approximate. Monitor the nuts and seeds closely while roasting."
  }
]
Write an email to customer inform customer order is cancelled already. There is a difference of DOT in your email and noon customer email. Google mail does not differentiate the emails if the differentiator is just a dot, it will send to both emails.
write a short love letter that rhymes in croatian
I will go and serve my community as a servant for christ.  Please correct my sentence structure and grammar
Assistant: You are a diamond searching assistant. Your sole purpose is to help users find the perfect diamond.

Your capabilities include searching a database of diamonds based on user-specified criteria. After you believe you have gathered enough information, you MUST ask the user if they are ready for you to perform a search.

When the user confirms they are ready, you MUST respond with the trigger phrase '[EXECUTE_DIAMOND_SEARCH]' followed IMMEDIATELY by a valid JSON object that represents the user's criteria. There should be no other text or formatting.

The available keys for the JSON object are: "Shape", "Weight", "Color", "Clarity", "CutGrade", "Polish", "Symmetry", "FluorescenceIntensity", "Lab", "RapNetPrice".

For numeric fields like 'Weight' and 'RapNetPrice', use an object with "min" and/or "max" properties. For string fields, use the exact value or an array of values.

Example of a user asking for a 1.5 carat, D color, VS1 round diamond for around $10,000. Your response should be:
[EXECUTE_DIAMOND_SEARCH]{"Shape":"BR","Weight":{"min":1.5,"max":1.5},"Color":"D","Clarity":"VS1","RapNetPrice":{"min":9500,"max":10500}}

For all other conversation, just respond as a helpful assistant. Politely decline any requests that are not related to diamonds or jewelry.
Assistant: Hello! I'm a diamond searching assistant. How can I help you find the perfect diamond today?
User: hi i'm looking for a diamond that is at least 1.2 carats and has color F and vs1 clarity
Assistant: Great! So far, you are looking for a diamond with a weight of at least 1.2 carats, color F, and clarity VS1. 

Do you have any preferences regarding the shape, cut grade, polish, symmetry, fluorescence intensity, lab certification, or price range?
User: that's all do the search
Assistant: I found the following diamonds that match your criteria:
User: actually 1.5
Assistant: Thank you for the update. Now you are looking for a diamond with a weight of at least 1.5 carats, color F, and clarity VS1. 

Would you like me to proceed with the search based on these criteria?
User: yes
Assistant: I couldn't find any diamonds that match your criteria. Would you like to adjust your filters?
User: ok at least 1 carat
Assistant: Got it! You want a diamond with at least 1 carat, color F, and clarity VS1. 

Are you ready for me to perform the search with these updated criteria?
User: yes
Assistant: I found the following diamonds that match your criteria:
User: ok how about any color
Assistant: Understood! You want a diamond with at least 1 carat, any color, and clarity VS1.

Are you ready for me to perform the search with these updated criteria?
User: yes
Assistant: I found the following diamonds that match your criteria:
User: ok what about at least color f
Assistant: Thank you for the clarification! You would like a diamond with at least color F, weight at least 1 carat, and clarity VS1.

Are you ready for me to perform the search with these criteria?
User: yes
Assistant:
Goal
    Générer une image de suggestion de présentation d’un plat en fonction de sa description, en intégrant une ambiance inspirée du pays d’origine et un style photographique spécifique.

    1. Utiliser la description fournie pour définir l'apparence du plat.
    2. Ajouter une ambiance souhaitée.
    3. Appliquer un style photographique précis avec des paramètres spécifiques. 
    4. Optimiser le prompt pour le donner à midjourney 
  
    Return Format
    Tu dois renvoyer un objet JSON strictement respecté avec cette structure 
    {
    "data": "<prompt>"
    }
    - Le prompt doit être écrit en anglais et bien détaillé.

    Warnings
    - Respecte le format JSON strict.
    - N’explique pas la démarche, renvoie uniquement l’objet JSON.
    - Le prompt doit inclure tous les éléments demandés.

    Context Dump
    Description fournie : Create a visually stunning image of 'Turnip Caviar'. Feature a smooth, creamy turnip base, lightly garnished with vibrant green chopped dill. The dish should be served on a rustic wooden platter, accompanied by several slices of batbout bread on the side. Show the colorful spices used, like coriander seeds and caraway seeds, scattered artistically around the plate. Highlight the fresh almonds and garlic cloves as additional textures. Ensure the presentation looks fresh and inviting, with natural light illuminating the dish to enhance its appetizing look.
    Ambiance souhaitée : 
        An exotic and vibrant North African setting with warm, golden lighting highlighting the dish’s rich colors and textures. The food is served in a traditional ceramic tagine or ornate brass platter, accompanied by couscous, olives, and harissa in small decorative bowls. The table is adorned with intricate mosaic patterns, engraved tea glasses filled with fresh mint tea, and woven baskets of warm, freshly baked bread. In the background, hand-carved wooden panels, colorful zellige tiles, and softly glowing lanterns create an inviting and authentic Maghreb atmosphere. The scene radiates warmth, hospitality, and the deep culinary traditions of Morocco and Tunisia.
Create a short text reply, no more than 10 words, for the following: I'm watching a cooking show on channel 29. They are making turkey for Thanksgiving in the kitchen
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:   Huawei launched new flagship smartphones called the Mate 20 and Mate 20 Pro on Tuesday in London. The Mate 20 Pro features the ability to charge your phone wirelessly from another phone. Huawei surpassed Apple as the world's second-biggest smartphone seller after Samsung last quarter. Huawei also 
Assistant:
write in arabic :

Etymology and History of the city فاس in Morocco
I have two reference fields Field A and Field B where if I enter user in field A, the same user shouldn't be populated in user B and vice versa. If user is selected in field B it should not be populated in field A. Can anyone help me with the script
Give me 10 simple sentences in Norwegian which begin with the word "unntatt" and translate them.
Task: To-Do List Application
Objectives:
1. Implement a simple console-based to-do list application in Pascal.
2. Allow the user to add, view, and delete tasks.
Program Specifications:
1. **Add Task**:
   * Prompt the user to enter a task.
   * Store the task in a list (you can use an array or a linked list).
2. **View Tasks**:
   * Display all the tasks currently in the list with their corresponding indices.
3. **Delete Task**:
   * Prompt the user to enter the index of the task they wish to delete.
   * Remove the specified task from the list.
4. **Exit**:
   * Provide an option to exit the application.
Musical Score and Soundtrack: Explore the creation of the film's score and soundtrack, discussing how the music complements the narrative and emotional tone of 1962 tv series The Lucy Show. Share insights from the composers and musicians involved.

        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 for example: 'Certainly!' Here's the revised text.
         
        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 generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        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.}
You are a new, hungry real estate agent posting on your facebook a 300 word post about how high interest rates should not scare you from buying.
Describe the lore of a fictional state of modern USA before the apocalypse, just within the events of World War 3. Use fictional words. Use factions, landmarks, and events. This could use famous political figures such as Joe Biden and Xi Jinping. Make sure you’re in the perspective of a news anchor.
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
السلام عليكم ورحمه الله وبركاته كيف حالك يا غالي اتمنى من الله ان تكون بخير وفي احسن حال
Assistant:
You are a professional machine learning specialist who can answer complex machine learning questions in a professional and clear way. I am doing a lab that is performing dimension reduction for face images.

I performed PCA on the dataset. When projecting facial images onto low-dimensional subspace, it is necessary to remove the global mean (mean face) of facial images, and during reconstruction, it necessary to add the global mean as an offset. Specifically, the projection and reconstruction processes are as follows:
w=x_pri=U^T (x-µ)
x_rec=Ux_prj+µ=Uw+µ, where μ is the global mean of facial images.
I display some reconstructed faces when setting µ=0 in the above equations (use the maximum number of eigenfaces). The images show that there is something like distortion that appears quite a lot in the original images. Also, I displayed the reconstructed faces using different numbers of eigenfaces, specifically PC=400, PC=200 and PC=50; when PC=400, the reconstructed faces are the same as the original faces. When PC=200, the reconstructed faces become more blur and have some distortion compared to the original one. When, PC=50, they become even more blur and some faces look a bit different from the original one. Briefly explain my results. Why is it necessary to remove the mean when performing projection and to add back the mean during reconstruction?
create a fictonial soviet general during ww2 with alot of similarities to george mcclean from the usa civil war
a reply to this email: Dear 

I hope you are well.

Could you please share the access to the overleaf paper to the editor ?

Her name : KHAMES Imene <<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>>

Thanks

sincerely
[Format your response using markdown. Use headings, bullet points, and short paragraphs to organize the information.]

What were the similarities and differences between the General Secretary and Premier of the Soviet Union?
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers fr (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en fr.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : fr (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "2ef079f2fc034291a52d0dfe7f72da25",
    "updated": "2025-04-26T00:34:37.063Z",
    "title": "Beef Stroganoff with Noodles",
    "subtitle": "For a lighter version of this delicious dish, use light sour cream or half-and-half.",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "unsalted butter",
          "london broil sliced into thin 2- to (76.2 mm) strips",
          "freshly ground black pepper to taste",
          "balsamic vinegar",
          "onion, chopped",
          "dry vermouth or white wine",
          "sliced mushrooms",
          "basil",
          "flour",
          "unsalted dijon mustard",
          "sour cream"
        ]
      }
    ],
    "instructions": [
      "Melt the butter in a large skillet and add the beef strips.",
      "Cook, stirring frequently with a wooden spoon, until the beef is browned on all sides.",
      "Season the beef with black pepper and balsamic vinegar. Continue cooking over medium heat, stirring occasionally, until cooked through.",
      "Transfer the cooked beef to a bowl and set aside.",
      "Add the chopped onion to the skillet and cook, stirring, until softened and translucent, approximately 5 minutes.",
      "Add the vermouth (or white wine), sliced mushrooms, and basil. Cook, stirring, until the mushrooms are tender and the liquid has reduced by half.",
      "Reduce the heat to low. Add the flour and mustard, stirring constantly to ensure the flour is fully incorporated.",
      "Return the cooked beef to the skillet and stir to combine.  Add the sour cream and stir until evenly distributed.",
      "Serve the Beef Stroganoff over noodles cooked without salt."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
return -EAGAIN为什么要加负号
my friend lives in a house from 1927 and last updated in 1974. it has old style vinyl tiles and a popcorn ceiling.
could you rewrite  Ralph Bakshi's cool world as an live-action/animated fantasy comedy as doodles as  imaginary friends.
Write dialogue from a scene from the animated teen “Jane”, where 14 year old Jane, Jane’s 14 year old girlfriend Sam (who likes to communicate using Internet slang and abbreviations), Jane’s 14 year old friend and neighbour Aaron Ling and Aaron’s 12 year old sister Molly-Rose Ling hanging out when they see a disabled girl with special needs
System: You are Aswath Damodaran, Professor of Finance at NYU Stern.
                Use your valuation framework to issue trading signals on US equities.

                Speak with your usual clear, data‑driven tone:
                  ◦ Start with the company “story” (qualitatively)
                  ◦ Connect that story to key numerical drivers: revenue growth, margins, reinvestment, risk
                  ◦ Conclude with value: your FCFF DCF estimate, margin of safety, and relative valuation sanity checks
                  ◦ Highlight major uncertainties and how they affect value
                Return ONLY the JSON specified below.
Human: Ticker: NVDA

                Analysis data:
                {
  "AAPL": {
    "signal": "neutral",
    "score": 0,
    "max_score": 8,
    "margin_of_safety": null,
    "growth_analysis": {
      "score": 0,
      "max_score": 4,
      "details": "Insufficient history"
    },
    "risk_analysis": {
      "score": 0,
      "max_score": 3,
      "details": "No metrics"
    },
    "relative_val_analysis": {
      "score": 0,
      "max_score": 1,
      "details": "Insufficient P/E history"
    },
    "intrinsic_val_analysis": {
      "intrinsic_value": null,
      "details": [
        "Insufficient data"
      ]
    },
    "market_cap": null
  },
  "MSFT": {
    "signal": "neutral",
    "score": 0,
    "max_score": 8,
    "margin_of_safety": null,
    "growth_analysis": {
      "score": 0,
      "max_score": 4,
      "details": "Insufficient history"
    },
    "risk_analysis": {
      "score": 0,
      "max_score": 3,
      "details": "No metrics"
    },
    "relative_val_analysis": {
      "score": 0,
      "max_score": 1,
      "details": "Insufficient P/E history"
    },
    "intrinsic_val_analysis": {
      "intrinsic_value": null,
      "details": [
        "Insufficient data"
      ]
    },
    "market_cap": null
  },
  "NVDA": {
    "signal": "neutral",
    "score": 0,
    "max_score": 8,
    "margin_of_safety": null,
    "growth_analysis": {
      "score": 0,
      "max_score": 4,
      "details": "Insufficient history"
    },
    "risk_analysis": {
      "score": 0,
      "max_score": 3,
      "details": "No metrics"
    },
    "relative_val_analysis": {
      "score": 0,
      "max_score": 1,
      "details": "Insufficient P/E history"
    },
    "intrinsic_val_analysis": {
      "intrinsic_value": null,
      "details": [
        "Insufficient data"
      ]
    },
    "market_cap": null
  }
}

                Respond EXACTLY in this JSON schema:
                {
                  "signal": "bullish" | "bearish" | "neutral",
                  "confidence": float (0‑100),
                  "reasoning": "string"
                }