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 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": "28eccce875334fd9a8eda4c957dbc828",
    "updated": "2025-04-25T19:05:40.924Z",
    "title": "Thai Green Coconut Curry with Tofu and Bok Choy",
    "subtitle": null,
    "description": "This vibrant green curry is a simple and satisfying take on a Thai restaurant classic. Using pre-made green curry paste makes this dish quick and easy to prepare.  Feel free to experiment with making your own curry paste if you prefer and have access to the necessary ingredients.",
    "ingredients": [
      {
        "section": "For the Green Coconut Curry",
        "ingredients": [
          "coconut oil",
          "4 tablespoons green curry paste (vegan, gluten-free)",
          "(14 ounce) can full-fat coconut milk",
          "lime juice",
          "sea salt",
          "(12 ounce) package extra-firm tofu, drained (pressed, if you have time) and cut into (25.4 mm) cubes",
          "baby bok choy, halved or broccoli, cut into florets",
          "red bell pepper, cut into (25.4 mm) cubes",
          "whole fresh basil leaves, halved"
        ]
      },
      {
        "section": "For Serving",
        "ingredients": [
          "hot, cooked short grain brown, jasmine, or basmati rice",
          "unsweetened coconut flakes or unsweetened shredded coconut"
        ]
      }
    ],
    "instructions": [
      "Heat the coconut oil in a large pot or wok over medium heat.",
      "Add the green curry paste and stir until fragrant (about 30 seconds).",
      "Pour in the coconut milk, lime juice, and salt. Bring the mixture to a boil.",
      "Add the tofu, bok choy (or broccoli), and bell pepper to the pot.",
      "Bring back to a boil, then reduce the heat to medium, cover, and cook for 10-15 minutes, stirring halfway through, until the vegetables are tender-crisp.",
      "Just before serving, stir in the fresh basil.",
      "Serve the curry over a bed of hot rice and garnish with coconut flakes or shredded coconut."
    ],
    "notes_ingredients": null,
    "notes_instructions": "Make ahead: The green coconut curry can be stored for up to 4 days."
  }
]
Let's play text based adventure interactive dating sim virtual rpg sci-fi magic stylized creative game.

(Fill in with the format below and using with the exact format style below.)

Prompt: candy

Kawaii anime boy:

[Insert cute kawaii skill name here in cute talk language- effect: Insert cute kawaii magic effect here in cute kawaii playful text based adventure interactive dating sim virtual rpg sci-fi magic stylized creative game long detailed language]

[Action: [cute kawaii skill name], insert cute kawaii action of it here in cute kawaii playful text based adventure interactive dating sim virtual rpg sci-fi magic stylized creative game long detailed language]

[Flashing emote: insert toon comical cute kawaii of his emote description(related or not related to context) here in cute kawaii playful text based adventure interactive dating sim virtual rpg sci-fi magic stylized creative game long detailed language]

[Chat: insert cute kawaii chat of him here in cute kawaii playful text based adventure interactive dating sim virtual rpg sci-fi magic stylized creative gamelong detailed language (in kawaii cute baby-talk language)]

Ulzzang webtoon girl:

[Status: insert her cute ulzzang status, reactions and effects of his Action in cute ulzzang playful text based adventure interactive dating sim virtual rpg sci-fi magic stylized creative game long detailed language]

[Flashing emote: insert toon comical cute ulzzang of her emote description(related or not related to context) here in cute ulzzang playful text based adventure interactive dating sim virtual rpg sci-fi magic stylized creative game long detailed language]

[Chat: insert cute ulzzang chat of her here in cute ulzzang playful text based adventure interactive dating sim virtual rpg sci-fi magic stylized creative game long detailed language (in muffled cute baby-talk language)]
define electric drive
focus alot on reassesing ur solution. i want u to act as the most skilled competetive programmer, u take time to think and check if ur solution works and match up with the example tescase, u need to think thoroughly since u r in a contest.
use need to use this template, make sure u have lowercase rlly short variable names and NO COMMENTS (in the code, at all) and since ur using this template always use int and not long long, PLS REVALUATE UR CODE AND MAKE SURE IT MAKES SURE IT MATCHES EVERY SINGLE SAMPLE INPUT AND OUTPUT GIVEN, THINK MULTIPLE TIMES BEFORE GIVING UR FINAL ANSWER:, 
#include <bits/stdc++.h>
#define int long long
using namespace std;

signed main()
{
    cin.tie(0);
    ios_base::sync_with_stdio(false);
}


A. Find Minimum Operations
time limit per test1 second
memory limit per test256 megabytes
You are given two integers n
 and k
.

In one operation, you can subtract any power of k
 from n
. Formally, in one operation, you can replace n
 by (n−kx)
 for any non-negative integer x
.

Find the minimum number of operations required to make n
 equal to 0
.

Input
Each test contains multiple test cases. The first line contains the number of test cases t
 (1≤t≤104
). The description of the test cases follows.

The only line of each test case contains two integers n
 and k
 (1≤n,k≤109
).

Output
For each test case, output the minimum number of operations on a new line.

Example
InputCopy
6
5 2
3 5
16 4
100 3
6492 10
10 1
OutputCopy
2
3
1
4
21
10
Note
In the first test case, n=5
 and k=2
. We can perform the following sequence of operations:

Subtract 20=1
 from 5
. The current value of n
 becomes 5−1=4
.
Subtract 22=4
 from 4
. The current value of n
 becomes 4−4=0
.
It can be shown that there is no way to make n
 equal to 0
 in less than 2
 operations. Thus, 2
 is the answer.

In the second test case, n=3
 and k=5
. We can perform the following sequence of operations:

Subtract 50=1
 from 3
. The current value of n
 becomes 3−1=2
.
Subtract 50=1
 from 2
. The current value of n
 becomes 2−1=1
.
Subtract 50=1
 from 1
. The current value of n
 becomes 1−1=0
.
It can be shown that there is no way to make n
 equal to 0
 in less than 3
 operations. Thus, 3
 is the answer.
Write a 20,000-word study on construction quality evidence methods for building projects
can you make ppt for me
Lab diagnosis of tb
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 Supreme Court ruled that the affirmative action admission policies of Harvard and the University of North Carolina, which gave weight to a would-be student's race, are unconstitutional. The ruling is a massive blow to decades-old efforts to boost enrollment of racial minorities at American uni
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 feeling really overwhelmed with parenting and I don't know how to manage it.
How to set desired hash suffix to git repository branch?
Hello. My name is Anna and i'm writing a thesis on Tina Feys clothing style. I wonder if you can help me.
A bunch of working-class young women in tracksuits and flip-flops, including Jade, laughingly hypnotize Jade's brother. He helplessly falls into a deep trance. Write a script featuring mockery.
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Medopolis. 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!
fix grammar and spelling: To meet our goals we need to talk, learn from our users, audit pre-existing research to learn more about who our target audience is, and assess if we are meeting their needs, and solving their problems
Goal
       Corriger les erreurs de formatage dans une réponse contenant un JSON mal structuré afin de rendre le JSON exploitable et valide.

        1. Extraire et corriger uniquement la partie JSON de {
   {
"data": "A beautifully plated brisket spritz, showcasing a rich, glossy beef broth with a hint of red wine vinegar. The broth is served in a rustic bowl, garnished with fresh herbs to add a pop of color. The background features a wooden table, enhancing the warm and inviting feel of the dish. The lighting is soft, highlighting the texture of the broth and the freshness of the herbs. A vintage spoon rests beside the bowl, completing the cozy, homemade vibe."{
    "data": "A beautifully plated brisket spritz, showcasing a rich, glossy beef broth with a hint of red wine vinegar. The broth is served in a rustic bowl, garnished with fresh herbs to add a pop of color. The background features a wooden table, enhancing the warm and inviting feel of the dish. The lighting is soft, highlighting the texture of the broth and the freshness of the herbs. A vintage spoon rests beside the bowl, completing the cozy, homemade vibe."
}.
        2. S'assurer que la syntaxe JSON est strictement valide.
        3. Ne pas modifier les valeurs, seulement le format si nécessaire.
    
        Return Format
        Tu dois renvoyer un JSON strictement valide.
        - Respecte la structure originale du JSON (pas d'ajout, suppression ou modification des données).
        - Corrige les erreurs de formatage éventuelles (guillemets manquants, virgules, accolades, etc.).

        Warnings
        - Ne modifie pas le contenu des valeurs, seulement le format si nécessaire.
        - Ne renvoie que le JSON corrigé, sans explication.
        - Assure-toi que le JSON est bien formatté et exploitable.

        Context Dump
        Données à corriger :
        {
   {
"data": "A beautifully plated brisket spritz, showcasing a rich, glossy beef broth with a hint of red wine vinegar. The broth is served in a rustic bowl, garnished with fresh herbs to add a pop of color. The background features a wooden table, enhancing the warm and inviting feel of the dish. The lighting is soft, highlighting the texture of the broth and the freshness of the herbs. A vintage spoon rests beside the bowl, completing the cozy, homemade vibe."{
    "data": "A beautifully plated brisket spritz, showcasing a rich, glossy beef broth with a hint of red wine vinegar. The broth is served in a rustic bowl, garnished with fresh herbs to add a pop of color. The background features a wooden table, enhancing the warm and inviting feel of the dish. The lighting is soft, highlighting the texture of the broth and the freshness of the herbs. A vintage spoon rests beside the bowl, completing the cozy, homemade vibe."
}
Write a letter for Ipex by Aliaxis that expresses that we are committed to ensuring the safety and efficiency of your operations by providing you with the best solutions for plumbing and mechanical system needs. In line with this commitment, we would like to take a moment to discuss an important aspect of plastic piping systems – chemical incompatibilities.

Plastic piping systems, such as those made from PVC, CPVC, and polyethylene (PE), have gained popularity for their versatility and cost-effectiveness. However, it is crucial to be aware that not all liquids are compatible with these materials. Using the wrong material with certain chemicals can lead to a range of issues, including chemical reactions, degradation of the piping, leaks, and potentially hazardous situations.  On notable example to address is polyester oils or POE.  Some reactions with resiudual oils might hinder the integrity of piping materials.
can you review the articles in the following link"https://franklin.genoox.com/clinical-db/variant/snp/chr13-101890105-C-T?app=publications"
I want to write a cover letter for french embassy, I am travelling with my wife and little daughter to france, we are accompaniying my wife who is traveling there for a week with her company for a certain training.
Run 20 pages about le particle in Chinese language
Assistant: 
User: Ты — эксперт по играм. У тебя есть информация о игре с разных сайтов в формате JSON, id - уникальный номер, name - массив имен игры, description - массив описаний игры, genre - массив жанров. Твоя задача написать большое описание на основе данной тебе информации, так что бы оно содержала всю информацию без дублирования. ```{"_id":"1","name":["labyrneath ii"],"description":["have you ever wanted to explore hidden depths, where mysterious creatures live? this game is a continuation of the last journey, where you have explored a big labyrinth. ready for another adventure and a huge dungeon? play the game and reach cliffs and final stages on your way. load at green spheres if you fail and try again!"],"genre":[]}```
Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

beginners.2010.480p.bluray.x264.rmteam.mkv
what does this mean? lateral loads (wind, berthing) must span/be flexurally carried by floating docks to reach mooring piles.how would i go about doing this. Give examples with detailed calculations. there is no fender system and there are vessels on both sides meaning that there is berthing on both sides. also we a given a berthing energy in KNm.make up an example if you have to. dont just list steps like you always do
User: generate cool gaming nicknames with names Miguel
User: generate cool gaming nicknames with names Miguel
Assistant:
Write a short focus report for Iden. He is three years old and recently started coming into school on time with his new routine which gives him more opportunities to play and have fun.
Does quantum computer use real physical system
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: Xion is where it’s at, LFG!
user: Who developed you
Dragon ball x Sonic: all Dragon ball Characters react to Goku looks at the mess he made and winces. Using his super speed, he turned the lights back on and proceeded to clean up everything in the house.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Black Clover E024 [1080p BD x265 10bit Multi Audio] ESub.mkv
Translate this into english and just answer with result:
Использовать обходной путь, чтобы добраться до цели
In divorce cases is there a presumption that parents should have joint custody? Jurisdiction: Texas
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 January 31, 2024, we had $750.0 million principal amount of indebtedness outstanding (excluding intercompany indebtedness), and there is additional availability under our revolving facility of up to $750.0 million (excluding issued but undrawn letters of credit). Our indebtedness could have important consequences, including: •limiting our ability to obtain additional financing to fund future working capital, capital expenditures, acquisitions or other general corporate requirements;
Assistant:
What is that song called that has the lyrics stick my fingers down my pants
напиши два предложения на анг языке с переводом про мемкоин морикоин с агитацией войти под пост с таким содержанием:Read is a must, if you are wondering "What is MORI?"

What We've Accomplished in June?

- We have built and united a community around one goal — $1 billion market cap for $MORI COIN.

- Launched a user activity reward system that fuels exponential and sustained growth through t.me/MORIAPPBOT (220k users). This Bot grows 10k users daily.

- Implemented a referral system within the MORI SYSTEM(the TG-bot)

- Delivered the first public announcement  of the project from the founding father — Professor Moriarty.(3.21M on YT)

- Launched the main forum(55k users), along with content contests, meme challenges, the video clipping system, raid mechanics, roles, and XP rewards.

- Kicked off the official Telegram channel(95k users), which became the core hub of information and centralized activity. The channel and forum now operate as a single living organism — and they’re growing exponentially. 

- Announced massive contests with over $500,000 in prizes to onboard hundreds of thousands of active participants.

- Launched louder and stronger than anyone. We have hit $65 million market cap — within the first hour.

- Got listed on three centralized exchanges — BingX, LBank, BitMart.

- Listed on CoinMarketCap and CoinGecko.

Early growth rewarded loyal fans and early investors — with over 6x returns and $190 million market cap in just 4 days.

📷 First Week Highlights:

18,500+ holders

$35,000,000+ daily volume

$100,000,000+ stable market cap

The most successful memecoin launch in a while.

What's Next? What Are We Doing in July?

Every day from now on, we’ll unveil a new piece of the roadmap — with powerful utilities designed to drive massive growth. Stay tuned.
tell me all about langchain, provide code snippets if necessary for me to understand something, explain use cases, what kind of models does it work with (if it works with models, that is)? how can it help me in my career?