agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "29d8dfa17a464af989b4832ce4f09219",
    "updated": "2025-04-23T13:24:43.948Z",
    "title": "Bacon-Wrapped Low-Carb Meatloaf",
    "subtitle": null,
    "description": "A delicious and satisfying low-carb meatloaf recipe featuring a flavorful bacon weave.",
    "ingredients": [
      {
        "section": "INGREDIENTS",
        "ingredients": [
          "ground beef",
          "bacon (regular thickness)",
          "almond meal",
          "cheddar cheese (add more if you want it extra cheesy)",
          "diced canned mushrooms",
          "diced shallot",
          "egg",
          "fresh thyme",
          "salt",
          "mustard powder",
          "worcestershire sauce",
          "pepper"
        ]
      }
    ],
    "instructions": [
      "Create a bacon weave in a baking pan.",
      "Combine all remaining ingredients in a bowl and mix gently.",
      "Place a layer of the meat mixture over the bacon weave, followed by a layer of cheese, and then top with the remaining meat mixture.",
      "Fold the edges of the bacon weave over the meatloaf and place an additional bacon strip down the center.",
      "Cover the pan with foil and refrigerate for 30 minutes.",
      "Invert the meatloaf onto a grill sheet or baking pan. Season the exterior as desired.",
      "Bake in a preheated oven at 300°F (150°C) for 1 hour.",
      "Increase the oven temperature to 350°F (175°C) and bake for another 10 minutes, or until the internal temperature reaches 160°F (71°C).",
      "Let the meatloaf rest for 10 minutes before slicing and serving."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
How to install Kyocera KX Driver using GPO or SCCM?
India's population residing in plain areas
Substrings-3
Input file: stdin

Output file: stdout

Time limit: 2 sec

Memory limit: 256 mb

You are given $k$ strings of lowercase Latin letters. Find their longest common substring.

Input
The first line contains a single integer $k$ ($1 \le k \le 10$).

Next $k$ lines contain $k$ given (each string is at least $1$ and at most $10\,000$ characters long), one per line.

Output
The sole line of the output should contain the longest common substring.

Examples
Input 1:

copy

3
abacaba
mycabarchive
acabistrue

Output 1:

copy

cab solve in c++
in the ACID properties of a transactional processing for databases, how is isolation kept during processing
Goal
   Objectif est d'identifier l'origine d'une recette de cuisine et de retourner un code correspondant dans un format JSON structuré.

    1. Recherche d’un pays mentionné dans la recette et extraction de son code ISO 3166-1 alpha-2.
    2. Détermination de l’origine culinaire du pays si aucun pays n'est explicitement mentionné.
    3. Identification d’un continent si aucun pays ne peut être déterminé.
    4. Retour du code WWW si l’origine ne peut être définie.

    Return Format
    Renvoies un objet JSON structuré comme suit :
    json
    {
        "data": "<code>"
    }
    - Si un pays est mentionné, utilise son code ISO 3166-1 alpha-2 (ex. : FR pour la France).
    - Si aucun pays n'est trouvé, renvoie un code de continent parmi :
        WAF (Afrique)
        WAS (Asie)
        WEU (Europe)
        WNA (Amérique du Nord)
        WSA (Amérique du Sud)
        WOC (Océanie)
    - Si aucune information ne permet de déterminer une origine, renvoie WWW.

    Warnings
    - Respecte l’ordre de priorité : pays → continent → code WWW.
    - Le code ISO 3166-1 alpha-2 doit être exact et valide si un pays est identifié.
    - Le format du JSON doit être strictement respecté et bien formatté.
    - Ne fais aucune supposition infondée sur l’origine de la recette.

    Context Dump
    Données de la recette fournies :

    json
    {
  "title": "Anti-Inflammatory Diet Recipes",
  "description": "Would you do me a favor? A person undergoing an anti-inflammatory diet has to eat healthy meals that follow his dietician's prescription. However, these meals should also be tasty and palatable enough for the dieter to enjoy. With this recipe book, you have a hundred percent assurance that you will enjoy healthy and delicious meals.",
  "subtitle": "Healthy Meals for Tasty and Palatable Eating",
  "ingredients": [
    {
      "section": "For the recipe",
      "ingredients": []
    }
  ],
  "instructions": [
    "I hope this book was able to help you to feed patients who suffer from rheumatoid arthritis and other serious conditions.",
    "I also hope the recipes are easy and comprehensible enough for culinary beginners to follow.",
    "The next step is to customize the meals and try out other ingredients that you or your patient may prefer.",
    "However, it is best to check if you have allergic reactions to certain food or ingredients.",
    "It is also best to consult a dietician before serving customized meals.",
    "Finally, if you enjoyed this book, please take the time to share your thoughts and post a positive review on Amazon.",
    "It'd be greatly appreciated! Thank you and good luck!"
  ],
  "author": ""
}
How can I create extension,plugin or something like addon for 3d modelling software that uses ui to create modify and make any changes using natural language. I am planning to create something like that for ai but no idea how do i proceed
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 experiencing a lot of stress at work. What can I do?
[there would be dialogue in this story:]

(It had been 8 months after the mana of the world was balanced. The 8 elementals - Wisp, Dryad, Jinn, Salamander, Shade, Luna, Gnome, and Undine - had begun living their lives just like humans would. Currently, 7 of the elementals are out on their own missions, leaving Undine - the water elemental - back at the cavern where they live. Undine has a passion for limericks, and her home is like an ice cave, but features two small pools of water - one for her, and one - albeit still vacant one - for her unborn twin water elemental daughters. But while she was sleeping, she felt the movements of her unborn daughters. Eventually, Undine recited limerick after limerick - as if she only talks in those now.)
Describe the significance, strengths, weaknesses, and hurdles of the Indian name 'Dolly', strictly keep it under 350 characters. add emojis if you can to make it more attractive.
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
Jelang pengertian BANK sentral pake bahasa Indonesia🗿🇮🇩
Hello is this chatgpt 4?
Can You Imagine 4 Realistic Fictional Cities That Are Based On Paris During 8995 BC?
W cash all
User: hey gpt
Assistant: Hello! How can I assist you today?
User: hey gpt
Assistant: Hey again! What’s on your mind?
User: hey gpt
Assistant:
(In the school literature clubroom…)

Monika: “There! Everything’s all set up for today’s meeting. Now we just need Natsuki.”

Yuri: “I hope she doesn’t take too long. I brought some of my favorite poetry books to share today.”

Sayori: “And I baked some delicious cupcakes! I can’t wait for everyone to try them.”

Monika: “You always know how to make things cozy, Sayori. I’m sure Natsuki will appreciate it.”

Yuri: “Yes, I think she’ll be excited to see those. She does love sweets, after all.”

Sayori: “Speaking of Natsuki, do you think she’s feeling okay? She seemed a bit down the other day…”

Monika: “I noticed that too. Maybe we can cheer her up during our meeting!”

Yuri: “That sounds like a wonderful idea. Having the support of friends might really help her.”

Sayori: “Exactly! Let’s make this meeting special for her. Oh! What if we all write a little something for her? Just to show how much we care!”

Monika: “That’s a great suggestion, Sayori! I think she would really appreciate the gesture. Let’s all prepare something heartfelt.”

Yuri: “I like that idea. Even a small, simple message can mean a lot.”

Sayori: “Yeah! And I bet Natsuki will love the cupcakes too! I made sure to include her favorite flavors.”

Monika: (grasping her belly) “OW! Hey! Settle down, little girl!”

Sayori: “Monika? Are you okay? You didn’t eat any of the cupcakes, did you?”

Monika: “No, no, it’s not that! I just…um, felt a little kick, that’s all. Guess someone’s also excited for the meeting! Maybe a little too excited…”

Yuri: “A kick? Monika, are you feeling all right? Do you need to sit down?”

Sayori: “Yeah, you should take it easy! We don’t want you or the
I want you to act as a scientific English-Chinese translator, I will provide you with some paragraphs in Chinese and your task is to accurately and academically translate the paragraphs only into English. Do not repeat the original provided paragraphs after translation.  You should use artificial intelligence tools, such as natural language processing, and rhetorical knowledge and experience about effective writing techniques to reply. I'll give you my paragraphs as follows. "相对于MinPixs和AttEps参数而言，方法对参数θ不敏感。θ的取值范围是(0,1)，其具体的取值需要人为对海洋异常变化的移动速度进行粗略评估之后再进行设定。一般情况下，对于没有明显移动行为的海洋异常变化，θ取值0.5即可。对于有明显移动行为的海洋异常变化，可以考虑取更低的θ值，例如0.25。"
Create a long detailed text about 1968 movie"Bullitt" with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Chase Scene Details & Driving Stunts] Summary: [The chase begins at Fisherman's Wharf, San Francisco, and ends at Guadalupe Canyon Parkway, with cars reaching speeds over 110 mph, despite the director's call for maximum speeds of 75-80 mph. McQueen, a world-class race car driver, performed close-up scenes while stuntman Bud Eakins handled the high-speed parts. Interior shots of the Mustang show McQueen driving when the rearview mirror is down, and Eakins when it is up.]

        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.}
         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.
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:

قالتلي يقربلها ولى شنو قالتلي بالحق
Given multiple reviews about 1968 movie Bullitt, each offering insights, opinions, or criticisms on a single topic, merge them into a single, cohesive review. When reviews offer opposing viewpoints, ensure that both perspectives are represented in a balanced way. Structure the text to flow smoothly, weaving different points together to create a well-rounded summary. Ensure the text remains clear and easily understandable by removing any jokes, insider references, or quotes.Aim for a polished and engaging tone, creating a review that feels comprehensive and reflects the diversity of opinions. The text should be very long. Here the given reviews: ["for some reason,i had the impression this was going to be an action packed car chase movie.but it is really more of a police procedural than anything.there is one chase scene,which was fairly exciting,but more brief than it thought it would be.it did offer some point of view shots from the drivers,so that was kinda cool.but mostly there's a lot of talking and some sedate action,people walking around,that sort of thing.yet i actually liked the movie.Steve McQueen(Lt.Frank Bullit)is so low key and laid back,yet for some reason hard to take you eyes off of.i wouldn't consider this a classic,but it was watchable and it does pass the time.it's not for action junkies,though.otherwise,it's not half bad.For me,Bullitt is a 6/10", 'OK I know - this film gets tons of great reviews and props in the press too. Fact is, it\'s really really dated. It\'s one of those "Sixties" movies that LOOKS Sixties and, well, it\'s not the 60\'s anymore. The film is gorgeously shot, the technicolor pops. The acting is great. The action scenes are engrossing I simply can\'t get away from the fact that the entire feel of the film is dated and stuck in the 60s. There\'s also an extraordinary amount of filler.'] 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.
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: In connection with the execution of our strategy to become a pure-play industrial tools and services company, we have completed several divestitures, including the divestiture of our former EC&S segment. These divestitures pose risks and challenges that could negatively impact our business, including retained liabilities related to divested businesses, obligations to indemnify buyers against contingent liabilities and potential disputes with buyers._If we do not realize the expected benefits of these divestitures or our post-completion liabilities and continuing obligations are substantial and exceed our expectations, our financial position, results of operations and cash flows could be negatively impacted. Any divestiture may result in a dilutive impact to our future earnings if we are unable to offset the dilutive impact from the loss of revenue and profits associated with the divestiture, as well as significant write-offs, including those related to goodwill and other intangible assets, which could have a material adverse effect on our results of operations and financial condition._
Assistant:
I want you to rewrite and revise my text.
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] The Ancient Magus' Bride S01E17 1080p HEVC 10bit BluRay Multi Audio ESub.mkv
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: The majority of our assets and liabilities are monetary in nature and subject to risk from changes in interest rates. Like most financial institutions, our earnings and profitability depend significantly on our net interest income, which is the difference between interest income on interest-earning assets, such as loans and investment securities, and interest expense on interest-bearing liabilities, such as deposits and borrowings. We expect that we will periodically experience "gaps" in the interest rate sensitivities of our assets and liabilities, meaning that either our interest-bearing liabilities will be more sensitive to changes in market interest rates than our interest-earning assets, or vice versa. If market interest rates should move contrary to our position, this "gap" will work against us and our earnings may be negatively affected. In light of our current volume and mix of interest-earning assets and interest-bearing liabilities, our net interest margin could be expected to increase modestly during periods of rising interest rates, and to decline slightly during periods of falling interest rates. We are unable to predict or control fluctuations of market interest rates, which are affected by many factors, including the following:
Assistant: