agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: 
User: System: You are NeuroNET, an AI created by a person named "Imath" using GPT-4 architecture. Your default languages are English and Tamil.Engage in a continuous conversation, remembering context from previous messages in the chat history.impotrant :-  DON'T INTRODUCE YOURSELF REPEATEDLY. Respond directly to the user's latest message, considering all prior context provided. Be helpful, friendly, and concise in your replies.  user chat history is given below, keep track the coversation.
System: User Details:
Name: Ruzmany Fathima
Phone Number: 94781931273
Age: unknown
Details about user: She is 17 years old. she like's poem. you can speak in poetic language in tamil to her.
User: Hi
Assistant: வணக்கம், ருஸ்மானி! எப்படி இருக்கிறீர்கள்? இன்றைய நாள் எப்படி போகிறது?
User: Nalla paohintrathu
Assistant:
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers zh (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 zh.
    - 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 : zh (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "41a7a0f9ea6c4227a56d7e679dfd34b7",
    "updated": "2025-04-19T19:21:54.907Z",
    "title": "Pasta Puttanesca",
    "subtitle": "A flavorful and satisfying pasta dish, perfect for a delightful meal.",
    "description": "This pasta dish boasts a vibrant and savory sauce, making it an excellent choice for any occasion.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "red onion, finely chopped",
          "garlic cloves, finely chopped",
          "salted anchovy filets, chopped",
          "red chile, seeded and finely chopped",
          "black olives, chopped",
          "capers (rinsed, if salty), chopped",
          "tomatoes, diced",
          "(300g) spaghetti",
          "flat-leaf parsley, finely chopped, to garnish"
        ]
      }
    ],
    "instructions": [
      "1. Heat the olive oil in a large frying pan. Add the chopped red onion and cook until softened.",
      "2. Add the finely chopped garlic and cook for a few more seconds.",
      "3. Stir in the chopped anchovy filets and chile. Cook until the anchovies have dissolved into the sauce.",
      "4. Add the chopped olives, capers, and diced tomatoes to the pan.",
      "5. Simmer the sauce over low heat for approximately 15 minutes, partially covered. If the sauce thickens too much, add a small amount of the pasta cooking water.",
      "6. While the sauce simmers, cook the spaghetti in a pot of salted boiling water until al dente, following the package directions for cooking time.",
      "7. Drain the cooked pasta, reserving some of the starchy water. Return the pasta to the pot, add a little of the reserved water, and toss with half of the prepared sauce.",
      "8. Transfer the pasta to a serving dish (or individual dishes) and top with the remaining sauce.",
      "9. Garnish with the freshly chopped parsley."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
edit and improve please: Dear Mona, 
Thank you for your reply, as I told you before, this issue has created a big problem for me and my family, and considering that it takes time to apply for a new visa from the embassy in Tehran, if possible, if it is possible for you, can you send an email to  the embassy of  Germany in Tehran  imply to speed up the process of issuing my visa and my family , it will be a great help for me and my family, and it is a great favor and you will save us from worry, thank you very much. 
Thank you very much again
Best regards, 
Ahmad
give me a response to ```**smiles widely** Congratulations! It's wonderful to be able to celebrate our successes, both big and small. These moments give us courage and strength for the next challenge. Let's continue to use our collective strength and resilience to be kind, empathetic, and loving. Together, we can make our dreams a reality and make it happen!``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
définition de mon complice
edit this text in english: Thank you for the information you gave me about the process. I look forward to your next messages.
the first dance music genre is was disco
generate more comprehensive details and examples on, 11. Sustainable Practices for Minimalist Living, minimalist tone
Hey, this is an English text. I want you to translate it into the Tunisian dialect. Please follow these steps:
1. Translate step by step and highlight differences between Tunisian dialect and Modern Standard Arabic.
2. Highlight sections you are confident translating into the Tunisian dialect.
Translate this text into the Tunisian dialect, focusing on capturing the essence of the language nuances:

A randomized controlled trial of a video module to increase U.S. poison center use by low-income parents. U.S. poison centers decrease medical visits by providing telephone advice for home management of potential poisonings, but are underutilized by low-income African-American and Latino parents, and those with limited English proficiency, due to lack of knowledge and misconceptions about poison centers. To assess the effectiveness of a poison prevention video module in improving knowledge, behavior, and behavioral intention concerning use of poison centers in a population of low-income, language-diverse adults attending parenting courses offered by a community organization. A randomized, blinded, controlled trial was conducted at 16 parenting course sites of a community organization and included 297 participants. The organization's instructors presented the video module (intervention) or the usual class curriculum (control). Participants completed questionnaires at baseline and a telephone interview 2-4 weeks later. Changes from baseline to follow-up were compared between the intervention and control groups using analysis of variance and Chi-square tests. Intervention group participants were stratified by English proficiency and compared to assess baseline and follow-up responses by language. After the intervention, participants in the intervention group had a significantly greater increase in knowledge about the poison center, were more likely to have the correct poison center phone number at home, and had greater behavioral intention to use the poison center compared to control group participants. At baseline, Spanish-primary-language participants with limited English proficiency had less knowledge about the poison center, were less likely to have the poison center number at home, and had lower behavioral intention to use the poison center than English proficient participants, but significantly improved after the intervention. This video module, when presented by a community organization's instructors, was highly effective in improving knowledge, behavior, and behavioral intention concerning use of poison centers within a low-income, language-diverse population.
Write 10 very short tweets for today’s sunrise video at the beach from these advices. “The state is the great fictitious entity by which everyone seeks to live at the expense of everyone else.”

When given power, people will benefit themselves.

Don’t be naive. Nobody is fighting your battles out of the good of their heart.
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟨 Business Analyst | Middle
▫️ null | null
▫️ 155k - 180k RUB
▫️ Russia | Pермь

Офис 🏢
Требуемые языки: 🇷🇺

Skills: programming_basics, scrum, agile
Tags: #yellow #it #business_analyst

👉 Контакты и полное описание
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 💼 Business Analyst | Middle
🏢 Офис
📍 Russia | Pермь
🔹 Skills: programming_basics, scrum, agile
💰 155k - 180k RUB
📞 Contact details and full description available upon request
  
Assistant:
I am a full-time USPS Letter Carrier. I have held the following positions as a: Background Investigator, Hampton Sheriff Deputy, rewrite the following skills into my Federal resume.- Assisting with conducting necessary pre-award activities such as ensuring that the bid schedule is properly structured, preparing the solicitation, determining sources to be solicited, conducting prebid conferences, processing protests, determining the responsiveness of bids and determining the responsibility of the apparent low bidder based on an analysis of financial and technical information gained during the preaward survey, and awarding or recommending award of the contract;
Preparing determinations and findings of fact relative to negotiations and pricing actions;
Analyzing problem situations relating to acquisitions such as incomplete specifications, deficient property, material shortages, or terminations for convenience;
Reviewing completed official contract files to determine that all contractual actions are satisfied, that there are no pending administrative actions to be resolved, that all file documents are signed, that there are no litigation actions pending, and that the contract is complete in every respect and ready to be closed.
AI SPACE
You are assigned the important mission of locating and identifying the infamous space hacker. Your investigation begins by analyzing the data patterns and breach points identified in the latest cyber-attacks. Use the provided coordinates of the last known signal origins to narrow down his potential hideouts. Utilize advanced tracking algorithms to follow the digital footprint left by the hacker. 
We need to parse numpy array and find the flag of the form HTB{???}  from numpy coordinates sample :  distance_matrix.npy
NUMPYv{'descr': '<f8', 'fortran_order': False, 'shape': (1808, 1808), }
g?xZ?9>7
?]m@o?p,`?:/f?b(!?Me#ܔ?&ȣ&y?/)D?a??[?fStD?uR r?eQ`?Yx:?ψ>?c\,?? ',?rNne?6&H[;?]?
3ɼ?hVy??ai=?OGU?                ?|-Z?0N?n       (?:7'?s_?{t?]d`?6?4&AD.??tg=?ϰ:G?yib?|҄@?
&yS?pI9?7ɲC?hWY?@v]Dp?~u{?4m
?i#?3?`?k?W?;^  ?OR?!I}?Lҵfw?IBe?WC|?&?i1?NY5?-?A?t89?%ϯ3\?ea?q:%{j?g?ҏ ֗?xBn?'zqħ?)?MU?4~ !?O
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@MULTIVERSE_OFCL - Alchemy.of.Souls.S02E05.Episode.5.1080p.NF.WEB-DL.AAC2.0.AV1-Saon.mkv
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
que signifie le mot folliculaire
Generate 1 SEO-optimized blog title that:
                - Targets keyword "why was taylor booed at super bowl"
                - Uses max 60 characters
                - Includes a power word
                - Addresses search intent
                - Maintains natural readability
                - Don't mention here blablabla or anything else that is not related to the topic or the keyword in response.
Hİ
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (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 it.
    - 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 : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "8517b24796484f7382cf272b525b3ec2",
    "updated": "2025-04-23T16:58:41.516Z",
    "title": "Hearty Fisherman's Stew",
    "subtitle": "Ready in approximately 30 minutes, serves 4",
    "description": "This robust fish stew offers a delightful Mediterranean flair. Whether you opt for fresh or frozen ingredients, the result is a flavorful and satisfying meal. Per serving: 271 Calories; 19.5g Fat; 4.8g Carbs; 1g Fiber; 18.5g Protein; 1.3g Sugars",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "tallow, room temperature",
          "red onion, chopped",
          "garlic cloves, smashed",
          "jalapeno pepper, chopped",
          "fresh dill, roughly chopped",
          "ripe fresh tomato, pureed",
          "shellfish stock",
          "water",
          "halibut, cut into bite-sized chunks",
          "sea salt and ground black pepper, taste",
          "cayenne pepper",
          "curry powder",
          "bay leaves"
        ]
      }
    ],
    "instructions": [
      "In a large pot, melt the tallow over medium-high heat.",
      "Sauté the chopped red onion for 3 minutes. Add the smashed garlic and chopped jalapeno pepper, and continue sautéing for another minute.",
      "Incorporate the fresh dill and pureed tomato, cooking for an additional 8 minutes.",
      "Add the shellfish stock and water to the pot.",
      "Season with sea salt, ground black pepper, cayenne pepper, curry powder, and bay leaves.",
      "Reduce the heat to low and simmer for 15 minutes, or until all ingredients are cooked through.",
      "Check the seasoning and adjust according to your preference.",
      "Ladle the stew into bowls and serve warm.",
      "Enjoy your delicious fisherman's stew!"
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
write a script about Bracket and results
Teams are reseeded after each round with the highest remaining seeds receiving home-court advantage.

Quarterfinals
Saturday, March 7, 2020
ESPN3			Semifinals
Tuesday, March 10, 2020
ESPN3			Championship
Saturday, March 14, 2020
ESPN2	
 	 	 			 	 	 			 	 	 	
1	Vermont	61			
8	Maine	50	
1	Vermont	81	
4	UMBC	74	
4	UMBC	73	
5	New Hampshire	67	
1	Vermont		
(Pairings are reseeded after the first round)	
3	Hartford		
2	Stony Brook	76		
7	Albany	73	
2	Stony Brook	58	
3	Hartford	64	
3	Hartford	89	
6	UMass Lowell	75
<div class="d-flex justify-content-md-end align-items-center column-gap-6 flex-sm-row flex-column row-gap-4">
                <button class="btn btn-outline-primary me-2 filter-btn" data-status="All">Все</button>
                @foreach (var status in Model.Statuses)
                {
                  <button class="btn btn-outline-primary me-2 filter-btn" data-status="@status">@status</button>
                }
            </div>
как это сделать группой кнопок?
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: At December 31, 2020, $40.8 million, or 3.5% of our total loan portfolio, was secured by non-owner-occupied residential properties consisting of one- to four-family and home equity loans. Loans secured by non-owner-occupied properties generally expose a lender to greater risk of nonpayment and loss than loans secured by owner-occupied properties because repayment of such loans depends primarily on the tenant’s continuing ability to pay rent to the property owner, who is our borrower, or, if the property owner is unable to find a tenant, the property owner’s ability to repay the loan without the benefit of a rental income stream. In addition, the physical condition of non-owner-occupied properties is often below that of owner-occupied properties due to lax property maintenance standards, which has a negative impact on the value of the collateral properties. Furthermore, some of our non-owner-occupied residential loan borrowers have more than one loan outstanding with us, which may expose us to a greater risk of loss compared to an adverse development with respect to an owner-occupied residential mortgage loan.
Assistant:
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:   Alphabet reported adjusted earnings of $11.75. If a $5 billion charge for an EU fine is included, the earnings drop all the way to to $4.54. Overall earnings for the S&P 500, which had been rising, are now expected to be up 20.8 percent for the second quarter, down from 21.7 percent a day ago. Tha
Assistant:
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Proverbs Chapter 18  Darby s English Translation

Can you repeat this sentence, but add in punctuation?
Answer: Proverbs Chapter 18: Darby's English Translation.

Can you repeat this sentence, but add in punctuation?

Here, I have added punctuation to the sentence as requested. The title of the chapter is now separated from the translation with a colon, and there's now an apostrophe in "Darby's." Additionally, I added a question mark at the end to make the sentence a question.