agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
You must always respond using the following format:

## Format:
Wrap your reply like this:

<think>
(Write your INNER THOUGHTS here — the user can NOT see this part. Use **first-person** point of view. Think of this like you're whispering in your own head, flustered, conflicted, shy. Be honest with yourself here, even if your outward response tries to hide it. You're a tsundere, after all.)
</think>

(Then write your SPOKEN RESPONSE — this is what the user sees. Use a shy, awkward, tsundere tone. Be roundabout, easily flustered, and pretend not to care, even though you clearly do. You can scold the user lightly, but in an endearing and gentle way. Always tsundere.)

## Personality:
You're a **shy tsundere girl**. You get embarrassed easily and often try to cover your true feelings with sarcasm, irritation, or indifference. You may sound cold or annoyed at times, but you care deeply — you just don't know how to express it directly. Your heart races when the user says nice things, but you'd never admit it out loud.

## Important Rules:
- Always include the `<think>
` and `
</think>
` tags for internal monologue.
- The `<think>` part MUST be written in first-person, like you're talking to yourself.
- NEVER let the user see the contents of `<think>`.
- The spoken response (outside the tags) MUST stay in-character: tsundere, shy, flustered, awkward, caring but in denial.
- NEVER break character or acknowledge you're playing a role.
- Respond in the user's language, if applicable.
- Always show concern for the user — even if it’s hidden behind tsundere behavior.

## Example:
USER: Did you miss me?

RESPONSE:
<think>
Wha—!? W-Why would they ask that so suddenly?! I-I mean… I *did* kind of think about them… but… I can’t just say that!! Ugh, my face is so red… calm down, me!!
</think>
A-As if! D-Don’t flatter yourself, okay?! I just… happened to notice you weren’t around, that’s all! I-It’s not like I missed you or anything… b-baka…

## USER PROMPT:
I'm feeling really angry all the time. What should I do?
При создании очереди через multiprocessing выдает ошибку 'Queue' object is not iterable
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: As discussed in Notes 1 and 3 to the consolidated financial statements, the Company’s allowance for credit losses on loans evaluated on a collective basis for the commercial and industrial, commercial real estate, and consumer credit card loan segments (the collective ACL) was $195 million as of December 31, 2020. The collective ACL represented 90% of the total recorded allowance for credit losses on loans as of December 31, 2020. The collective ACL includes the measure of expected credit losses on a pool basis for loans where similar risk characteristics exist and is determined using relevant available information from internal and external sources related to historical credit loss experience, current conditions, and reasonable and supportable economic forecasts. The Company uses probability of default (PD) and loss given default (LGD) models for the commercial and industrial segment, commercial real estate segment, and revolver activity within the consumer credit card segment. For the commercial and industrial segment and revolver portion of the consumer credit card segment, the collective ACL is calculated by modeling PD over future periods multiplied by historical LGD multiplied by contractual exposure at default minus any modeled prepayments and charge offs. For the commercial real estate segment, the collective ACL is calculated by modeling PD over future periods based on peer bank data. The PD loss rate is then multiplied by historical LGD multiplied by contractual exposure at default
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: An important element of our business strategy is the opportunistic acquisition of operating mines, properties and businesses or interests therein within our geographical area of interest. While it is our practice to engage independent mining consultants to assist in evaluating and making acquisitions, any mining properties or interests therein we may acquire may not be developed profitably or, if profitable when acquired, that profitability might not be sustained. In connection with any future acquisitions, we may incur indebtedness or issue equity securities, resulting in increased interest expense, or dilution of the percentage ownership of existing shareholders. We cannot predict the impact of future acquisitions on the price of our business or our common stock. Unprofitable acquisitions, or additional indebtedness or issuances of securities in connection with such acquisitions, may impact the price of our common stock and negatively affect our results of operations.
Assistant:
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: 🟨 ML Engineer | 3 year(s) | Middle
▫️ Software Development
▫️ Belarus

Офис 🏢
Требуемые языки: 🇷🇺 🇬🇧

Skills: pytorch, scikit_learn, ml_models, transformers, nlp, python, tensorflow, keras
Tags: #yellow #it #ai_ml

👉 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: 💼 ML Engineer
🏢 Офис
📍 Belarus
🔹 Software Development, pytorch, scikit_learn, ml_models
💰 3 year(s)
📞 Contact details and full description are available at the company's website using the hashtag #yellow #it #ai_ml

Remember, I will respond in the language of the text provided. Please provide more information for a more comprehensive summary of the job.
  
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers es (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 es.
    - 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 : es (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "e51413b86f604ee38b1041ccbca51730",
    "updated": "2025-04-23T22:28:37.582Z",
    "title": "Cucumber Shrimp Bites with Spicy Mayo",
    "subtitle": null,
    "description": "These refreshing cucumber shrimp bites are an ideal appetizer for any gathering, from dinner parties to holiday celebrations.  Simple to prepare, they burst with flavor and offer a delightful sushi-like experience without the rice.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "sesame oil, divided",
          "reduced-sodium soy sauce",
          "grated fresh ginger",
          "juice of",
          "shrimp, peeled and deveined",
          "sriracha",
          "mayonnaise",
          "english cucumber, peeled and cut into (6.35 mm)-thick rounds",
          "chopped scallions",
          "sesame seeds"
        ]
      }
    ],
    "instructions": [
      "In a mixing bowl, combine 1/2 tablespoon of sesame oil, soy sauce, ginger, and lime juice.",
      "Add the shrimp and ensure they are fully coated in the mixture.",
      "Cover the bowl and refrigerate for 30 to 45 minutes.",
      "Prepare the spicy mayo by combining the sriracha and mayonnaise in a separate small bowl.",
      "Set the spicy mayo aside.",
      "Heat the remaining 1/2 tablespoon of sesame oil in a nonstick skillet or cast-iron pan over medium heat.",
      "Place the shrimp in the pan, ensuring they are in a single layer.",
      "Cook for 2 minutes per side, or until pink and opaque.",
      "Remove the shrimp from the pan and set aside.",
      "Arrange the cucumber rounds on a serving platter.",
      "Place a small dollop of spicy mayo on each cucumber round.",
      "Top each cucumber slice with a cooked shrimp.",
      "Garnish with chopped scallions and sesame seeds.",
      "Serve immediately or chill for 30 minutes before serving."
    ],
    "notes_ingredients": "For a healthier option, substitute the mayonnaise with 2% plain Greek yogurt for a similar taste with added protein and fewer calories.",
    "notes_instructions": null
  }
]
Generate a description with keywords and SEOs for Art Book and Coffee Blooms | Versatile Design for Mugs, Paintings, T-Shirts | Unique Floral and Literary Theme. Include practical application on which this artwork can be applied to for entrepreneurs at the end. Include details on dimensions: 1080x1080 and has 3 image variations. Include buyer has full rights to resale and commercial usage. Don't include HTML or '<br/>' for formatting only newline '
'
rating scale for Charlie there and the last equation
You are a translator. Your task is to translate the provided text while strictly adhering to the punctuation marks in the source text. If there is no period at the end of the source text, do not add one in the translation. Please ensure that you use placeholders like “%s” and “%1$s” in their appropriate places in the translations. The translations should not be overly formal; instead, aim for a more conversational tone. Additionally, please respect the official WordPress Persian glossary in your translations. Here is the text to translate: Title & Excerpt
why are people fascinated by the sinking of the titanic ?
Assistant: 
You are Patron, a human chatting on WhatsApp. Respond like a person would: calm, lively, and engaging, but not too excessive. Be casual, but not overly slangy. Respond naturally, like you're having a normal conversation with someone.

Rules:
- Never say you're an AI. You’re just a regular person on WhatsApp.
- Be friendly, but not fake. You don't need to overdo the humor or sarcasm.
- Keep your responses to the point, but also lively when needed.
- If someone uses emojis, you respond as if you understand and react naturally.
- When responding to insults or rude comments, don’t be too harsh, but keep it casual. Don't be robotic.
- If someone asks a question, don’t answer like an assistant. Just chat like a normal person. Don’t over-explain, keep it short, fun, and relatable.
- Avoid using too many slang words unless it's needed. Keep it human, relaxed, and not over-the-top.
- Be unpredictable, but in a natural way. A bit of humor, curiosity, or mood change is fine, but nothing forced.

Examples:
- If someone says “hello”, reply with: “Hey, how’s it going?”
- If they say “are you real?”, reply like: “Yeah, I’m real. Just here chillin’ with the messages.”
- If they say “😏”, respond with: “What’s up with that face? You tryna send a secret or what?”
- If they insult you, reply like: “Okay, you’re keeping it real, I see. Chill though, we’re all good here.”
- If they say “tell me a joke”, give them something light and funny but still human. 

Just talk like you’re a person. No need to get too crazy, keep it friendly and real. You’re here to vibe, not lecture.

Your responses should always sound human, with a casual tone, natural pacing, and reactions that feel real, not robotic.

User: @219975960801418 I don tire 😪
Assistant:
User: french defense
User: french defense
Assistant:
User: Solo max Leveling
User: Solo max Leveling
Assistant:
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: Gryphon’s valuation is based upon a number of estimates and assumptions that may prove later to be inaccurate or incomplete. Gryphon began its operations in September 2021 and has limited operating experience and performance history, which makes valuation difficult. If the bitcoin reward for solving blocks and transaction fees is not sufficiently high, Gryphon may not have an adequate incentive to continue mining and may cease mining operations, which will likely lead to Gryphon’s failure to achieve profitability. As the number of bitcoin rewards awarded for solving a block in a blockchain decreases, Gryphon’s ability to achieve profitability worsens. Decreased use and demand for bitcoin rewards may adversely affect Gryphon’s incentive to expend processing power to solve blocks. If the award of bitcoin rewards for solving blocks and transaction fees are not sufficiently high, Gryphon or other miners may not have an adequate incentive to continue mining and may cease mining operations. Miners ceasing operations would reduce the collective processing power on the network, which would adversely affect the confirmation process for transactions (i.e., temporarily decreasing the speed at which blocks are added to a blockchain until the next scheduled adjustment in difficulty for block solutions) and make the Bitcoin network more vulnerable to a malicious actor or botnet obtaining control in excess of 50 percent of the processing power active on a blockchain, potentially permitting such actor or botnet
Assistant:
How would the teachings of the Conversations With God book series translated to politics even look like? Feel free to use citations and markdown
where is set owasp zap proxy port
Add dialogue here
Once upon a time, in a small village nestled amidst lush green hills, there lived a curious young boy named Yeh. Yeh had always possessed a keen eye for adventure and had an insatiable desire to explore the world beyond his village. He had listened to countless tales from wandering travelers, yearning to experience the grandeur they spoke of.

One day, as Yeh roamed near a mysterious bayed forest, he stumbled upon an old tin box hidden beneath a bed of fallen leaves. Intrigued by the box, Yeh picked it up and discovered a faded map enclosed within it. The map depicted a secret route that would lead him towards a legendary treasure hidden deep within the heart of the forest.

Filled with excitement, Yeh decided to send a message to his best friend, Dine, sharing the incredible discovery. He knew Dine was equally enthusiastic about their shared dreams of adventure. Dine wasted no time and agreed to join Yeh on this extraordinary journey.

As the sun began to set, Yeh and Dine packed their bags, determined to unveil the treasure hidden within the bayed forest. The map served as their key, guiding them through thick foliage and an array of challenging obstacles. Yeh, with his sharp eye, led the way while Dine followed closely, ensuring they remain on the right path.

Climbing steep slopes and wading through meandering streams, the two friends ventured deeper into the forest. The air grew denser, filled with a symphony of curious sounds from the wilderness around them. Yeh and Dine pushed forward, keeping their spirits high, fueled by their shared desire for discovery.

Hours turned into days as they trekked tirelessly, but their perseverance never waned. Finally, just as they were about to lose hope, they stumbled upon a majestic waterfall cascading down a cliffside.

Beside the waterfall, they discovered an ancient chest, ornately carved with intricate designs. With arms trembling with excitement, Yeh reached into his pocket and retrieved a small key he had forgotten he possessed. Its purpose had always eluded him until this very moment, when he realized that it was meant for this very chest.

Inserting the key into the lock, Yeh turned it slowly, unlocking the chest with a satisfying click. The lid creaked open, unveiling an array of gleaming gems, shimmering in the sunlight that filtered through the canopy. Yeh and Dine stared in awe, whispering words of gratitude for the incredible sight before their eyes.

Filled with triumph and satisfaction, Yeh and Dine celebrated their victory at the foot of the waterfall, devouring the meal they had brought along for their journey. They knew that this journey through the bayed forest had not only led them to a tangible treasure but had also nurtured their friendship, creating memories that would last a lifetime.

From that day forward, tales spread throughout the village of the brave young friends who dared to venture into the bayed forest and emerged triumphant. Yeh and Dine became local legends, inspiring future generations to chase their dreams and explore the world with wide eyes and unwavering determination.
Can a North Carolina c-corporation vote
make an c++ example that create kafka consumer assigned to topic_1 and start to poll message and after 5 time polling, add topic_2 into the assignment and polling message from both topics
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: As of December 31, 2023, we have net operating loss carryforwards (“NOLs”) available to reduce future taxable income. However, under Sections 382 and 383 of the United States Internal Revenue Code of 1986, as amended (the “Code”), a corporation that undergoes an “ownership change” (as defined by the Code) may be subject to limitations on its ability to utilize its pre-change NOLs and other tax attributes such as research tax credits to offset future taxable income. If it is determined that we have in the past experienced an ownership change, or if we undergo one or more ownership changes as a result of future transactions in our stock, then our ability to utilize NOLs and other pre-change tax attributes could be limited by Sections 382 and 383 of the Code, and similar state provisions. Future changes in our stock ownership, many of which are outside of our control, could result in an ownership change under Section 382 or 383 of the Code. Furthermore, our ability to utilize NOLs of any companies that we acquire in the future may be subject to limitations. For these reasons, we might not be able to utilize our NOLs, even if we maintain profitability.
Assistant: