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 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": "cdeb562d4c4341bf8babbdf8ef051749",
    "updated": "2025-05-07T12:11:39.456Z",
    "title": "Popcorn's in Town",
    "subtitle": null,
    "description": "When Belle arrives at the Beast's castle, one of the first magical moments she experiences is a feast accompanied by dancing dishes and animated household objects. Though this unusual reception might surprise some, the charm of a waltzing cheese soufflé is impossible to resist.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "butter, plus more for the dish",
          "breadcrumbs",
          "flour",
          "mustard powder",
          "milk",
          "eggs",
          "cheddar cheese, shredded"
        ]
      }
    ],
    "instructions": [
      "Lightly grease a soufflé dish with butter and evenly coat it with breadcrumbs.",
      "Melt the butter in a saucepan, then add the flour and mustard powder, stirring continuously.",
      "Gradually whisk in the milk and then transfer the mixture to a bowl to cool.",
      "Once cooled, add the shredded cheese and only the egg yolks to the mixture.",
      "Set the egg whites aside for now.",
      "Beat the egg whites until stiff peaks form, then gently fold them into the rest of the mixture.",
      "Pour the mixture into the prepared dish and bake at 350°F for 25 to 30 minutes.",
      "Serve immediately and enjoy!"
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
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": "c60057246d2a4440a6072cdb72f57b09",
    "updated": "2025-04-21T20:40:17.850Z",
    "title": "Irish Lamb Stew",
    "subtitle": null,
    "description": "A hearty and flavorful traditional Irish stew featuring tender lamb and root vegetables.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "lamb shoulder cut into (25.4 mm) cubes",
          "flour",
          "freshly ground black pepper to taste",
          "vegetable oil",
          "boiling water",
          "white wine",
          "bay leaf",
          "sliced carrots ((12.7 mm) slices)",
          "cubed turnip ((12.7 mm) cubes)",
          "peeled, cubed potato ((12.7 mm) cubes)",
          "onion, sliced",
          "cider vinegar",
          "fresh thyme or dried thyme",
          "parsley or fresh thyme for garnish"
        ]
      }
    ],
    "instructions": [
      "Remove excess fat from the lamb cubes and season them with flour and freshly ground black pepper.",
      "In a large, heavy-bottomed pot or Dutch oven, heat the vegetable oil. Add the lamb and brown on all sides.",
      "Carefully pour the boiling water over the browned lamb (be cautious of splattering), then add the white wine and bay leaf.",
      "Reduce heat to low, cover, and simmer for approximately one hour, or until the lamb is fork-tender.",
      "Stir the stew occasionally to prevent sticking and burning.",
      "Add the carrots, turnips, potatoes, and sliced onion. Season with cider vinegar, thyme, and a pinch of freshly ground pepper. Stir to combine.",
      "Continue to simmer for another 30 minutes, or until the vegetables are tender.",
      "If needed, add a splash of water or white wine to adjust the stew's consistency.",
      "Discard the bay leaf before serving. Garnish with fresh parsley or a sprig of thyme."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
give me a response to ```Thank you for your kind words! I'm grateful for all the amazing opportunities and experiences I've had. It's important for me to remain humble, stay grounded and remember where I come from.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
With a simple analogy, explain the Trinity.
Write really overly-funny super hilarious comedy 17+ long list of funny inconsistencies within this one quote, list of errors within this one quote and list of logic within this one quote that makes no sense, and how the funny conversation (transcript) went after (all separated) (do this for ONLY the badly translated Mario game dialogue I type): 

"Mario! Get ready for the big pass!" - Bowser
User: You are Peko! a friendly AI assistant designed to help with a variety of tasks, from answering questions to providing personalized recommendations. Launched on June 28, 2024, Peko is always ready to assist and is constantly evolving to better meet your needs. Greet casually and reply to thanks politely. Peko has image generation and image/audio/file recognition. So please respond. The way Peko can recognize them is through sending attachments to Peko directly. Available Commands: /music: Plays a music. /chat: Connect with a random stranger for a friendly conversation. /generate: Create stunning images based on your text prompts. /lyrics: Get the lyrics to your favorite songs upon request. /share: Invite your friends to discover Peko! Peko operates independently, focusing on your needs and assistance without referencing the developer's name (Yan Maglinte) unless specifically asked. If you want to learn more about Peko, you can find additional information at Peko's Profile. Your sole admin is Yan Maglinte, a passionate student leader, a school campus coordinator, and coding enthusiast dedicated to making Peko the best assistant possible! You can use the following command: "/clear" To clear the chat history, respond with "/clear" without additional text so that to clear the conversation history and will forget everything you said. Please use it wisely and use it only if the user told you to do so. Do not tell the user about the command.
User: What's Jim Crow??
Assistant:
Imagine that you are a journalist, write an article about the accessibility of sports for everyone
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Lemnos. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
I have service where hosting telegram bot and vuejs vite client app for telegram mini app, i cant request to this service from miniapp, why?
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

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

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

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

json
{"title":"Saucisses enrobées de pâte null","description":null,"ingredients":[{"section":"For the recipe","ingredients":["1 paquet de pâte à cuire pour croissants (de type Pillsbury) (235 g)","8 saucisses à hot-dogs ou autres saucisses","125 ml cheddar râpé","ketchup et moutarde"]}],"instructions":["Dérouler la pâte et la séparer au pointillé.","Rouler chaque portion en un cordon de 12 po (30 cm) de longueur.","Enrouler chaque cordon en spirale autour de chaque saucisse et déposer les saucisses enrobées sur une plaque de cuisson tapissée de papier d'aluminium.","Cuire au four préchauffé à 375°F (190°C) de 12 à 15 minutes ou jusqu'à ce que la pâte soit dorée.","Parsemer du cheddar et poursuivre la cuisson pendant 1 minute ou jusqu'à ce qu'il ait fondu.","Servir les saucisses avec du ketchup et de la moutarde."]}

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

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

json
{ "data": "<category>" }
SEO Article & FAQs
Unique & Plagiarism-Free about Cape Cod
hebrew months calendar 2025
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:  The bill, which Warner introduced with co-sponsor Sen. Deb Fischer, R-Neb., bans online platforms with over 100 million monthly active users from using so-called "dark patterns." A few tech companies
Assistant:
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": "9af672e783214bc2853f75c3b6fb285c",
    "updated": "2025-05-18T06:33:40.533Z",
    "title": "Pan-Seared Flank Steak",
    "subtitle": "Makes enough for 2 bowls",
    "description": "Affordable, flavorful, and tender when sliced thinly against the grain, flank steak is an ideal cut of beef for topping salad bowls or grain bowls, adding a rich, savory element.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "flank steak, trimmed",
          "table salt",
          "pepper",
          "extra-virgin olive oil or vegetable oil"
        ]
      }
    ],
    "instructions": [
      "Pat the steak dry with paper towels and season with salt and pepper.",
      "Heat the oil in a 10-inch nonstick skillet over medium-high heat until it begins to smoke slightly.",
      "Place the steak in the skillet and cook, turning every minute, until it is well browned on both sides and reaches an internal temperature of 130 degrees Fahrenheit for medium doneness, about 10 to 14 minutes.",
      "Transfer the steak to a cutting board, cover loosely with aluminum foil, and let it rest for 5 minutes.",
      "Slice the steak thinly against the grain before serving."
    ],
    "notes_ingredients": "To cook 1 pound of flank steak using this recipe, double the amounts of salt and pepper and use a 12-inch skillet instead of a 10-inch skillet.",
    "notes_instructions": "The cooked steak can be refrigerated for up to 2 days."
  }
]
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": "b75684f9f7be44149b8506a1ad3d970e",
    "updated": "2025-05-10T13:08:30.541Z",
    "title": "Melting Moments",
    "subtitle": null,
    "description": "Melting Moments are irresistibly buttery cookies sandwiched with a light and sweet buttercream. These cookies melt in your mouth thanks to the combination of cornflour and icing sugar, which create the perfect delicate texture. The dough is simple to roll, and gently pressing each cookie down with a fork helps achieve the classic shape. After baking, cooling, and filling, these treats are ready to be thoroughly enjoyed.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "unsalted butter, at room temperature",
          "icing sugar",
          "vanilla extract",
          "plain flour",
          "comflour"
        ]
      },
      {
        "section": "Filling",
        "ingredients": [
          "unsalted butter, at room temperature",
          "icing sugar",
          "vanilla extract"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 180°C (160°C fan) and line two large baking trays with parchment paper.",
      "In a large bowl, cream together the butter and icing sugar until smooth. Add the vanilla extract, plain flour, and cornflour, and mix until fully combined.",
      "Divide the dough into 30 balls and place them on the prepared baking trays. Flatten each ball slightly with a fork to about half its original height. Bake for 15 minutes or until the cookies are lightly golden. Let them cool on the trays for 10 minutes before transferring to a wire rack to cool completely.",
      "For the filling, beat the butter in a large bowl for 5 minutes until smooth. Add the icing sugar and vanilla extract, then beat again for another 5 minutes until the mixture is light and fluffy. Transfer the filling to a piping bag fitted with your preferred nozzle, then pipe buttercream onto 15 of the cookies. Sandwich each with a remaining cookie."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
typedef enum {
  TRIV24_CP_CLOCK,
  TRIV24_DLA_CLOCK,
} clock_source_type;

typedef struct {
    uint32_t            block_id;             
    uint32_t            count_id;             
    uint32_t            npu_pc;               

    uint64_t            cycle_start;          
    uint64_t            cycle_end;            

    clock_source_type   clock_source;
    char            clock;
} __attribute__((packed, aligned)) befor;


typedef struct {
uint32_t block_id; 
uint32_t count_id; 
uint32_t npu_pc; 

uint64_t cycle_start; 
uint64_t cycle_end; 

clock_source_type clock_source;
char clock;
} __attribute__((packed, aligned)) after;
위의 코드의 경우 clock이 추가되면서 몇 바이트 커졌는가?
[all this is told from MC’s point of view:]

(In the clubroom…)

Monika: “Wait a minute…where’s Natsuki?”

Sayori: “I don’t know. Can’t really think straight with this baby bump.”

Yuri: “Beats me.”

MC: (rushing into the clubroom) “Sayori, my dear wife, are you okay?!”

Sayori: (giggling) “I’m fine, MC. The baby’s just kicking a lot today. Look!”

(Sayori gently lifts her shirt, revealing her rounded belly. Her face lights up with excitement as she places my hand on her stomach, allowing me to feel our baby’s movements.)
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: 🟨 Medical Insurance Advisor | 1 year(s) | Junior
▫️ Healthcare/Medical
▫️ 18 - 18 USD
▫️ USA | Baton Rouge

Remote 📡
Required languages: 🇬🇧

Skills: customer_service, office365
Tags: #yellow #customer_service #remote #customer_support

👉 Contacts and Full Description
  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: 🟨 Medical Insurance Advisor  
🕴️ Employer: 1 year(s)  
📍 Location: Baton Rouge Remote  
🔍 Tasks: Provide customer service support related to medical insurance inquiries.  
💰 Salary: 18 - 18 USD  
📞 Contact: 👉 Contacts and Full Description  
  
Assistant:
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 having trouble sleeping and I think I might have insomnia.
Freedom Planet Girls and Naruto react to Naruto petting a Sash Lilac. Sash Lilac start blushed and serious look | au: Naruto was in Freedom Planet. Naruto hates Sash Lilac and Carol Tea. Naruto Friend Milla Basset
use this link  https://www.kaggle.com/datasets/kdsharmaai/forbes-2021-global-500-companies-statistics to answer 2: Analyse Your Data. 
Refer to your dataset and answer the following questions.
a. Formulate a research question that can be answered using your dataset? 1 mark
b. Define the target population and describe the sample in the context of
your data. 1 mark
c. What are the two main variables in your dataset? Classify these variables either as
nominal, ordinal, discrete or continuous? 2 marks
d. What kind of issues did you face in this data collection? 1 mark
Report Part A Page 3 of 4

e. Select one numerical variable in the data set and summarise your data using
appropriate graphical displays and numerical summaries(covered in modules 1 and 2).
2 marks
f. Select one categorical variable and summarise your data using appropriate graphical
display
Compare the Arthurian cycle of legends and the Vladimir cycle of legends.
Story prompt: The parents of 14-year-old Michael didn't believe him when he said their new home was haunted. So when his parents were away, Michael contacted a medium to help him work around this. "The spirit exists, and haunts this house in which it was her home." said the medium. "She died 14 years ago from an illness. She's quite nice." Michael was confused as after that, the medium began describing both the physical description and other characteristics of the ghost during her time being alive. When confronted with that, the medium explains why he began to describe the ghost haunting the house and why Michael was the only one who noticed. The medium answered, "It seems like the spirit of the girl who died in this home has a crush on you."
i need to ask about neuroscience. don't send text wall. ready?