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 fr (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 fr.
    - 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 : fr (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "a72c3bcf2e3146729dbcfe22954f0f48",
    "updated": "2025-04-22T19:26:34.807Z",
    "title": "Fruit Pizza",
    "subtitle": "A delightful dessert perfect for kids' parties and enjoyed by all ages.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "sugar cookie dough",
          "cream cheese",
          "sugar",
          "vanilla extract",
          "sliced banana",
          "kiwifruits, sliced",
          "strawberries, sliced",
          "blueberries",
          "peach preserves",
          "water"
        ]
      }
    ],
    "instructions": [
      "Freeze the sugar cookie dough for one hour.",
      "Line a 14-inch (36 cm) pizza pan with foil.",
      "Slice the dough to 1/8 inch (0.3 cm) thickness and arrange the slices in the pan, overlapping them slightly without pressing them down.",
      "Bake in a preheated oven at 375°F (190°C, gas mark 5) for 12 minutes, or until golden brown.",
      "Allow the crust to cool completely.",
      "Invert the baked crust onto another pan, remove the foil, and place it on a serving plate.",
      "In a bowl, combine the cream cheese, sugar, and vanilla extract until smooth and well blended.",
      "Spread the cream cheese mixture evenly over the cooled crust. Arrange the sliced fruits on top.",
      "In a separate bowl, combine the peach preserves and water, stirring until a glaze-like consistency is achieved.",
      "Pour the peach glaze over the arranged fruit.",
      "Chill the fruit pizza before serving.",
      "Cut into wedges to serve."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
#include <iostream>

struct Node{
    int key;
    int left_child_ind;
    int right_child_ind;
    int height = 0;
    int balance;
};

int GetHeight(Node* tree, int ind) {
    return tree[ind].height;
}

int GetBalance(Node* tree, int ind) {
    return tree[ind].balance;
}

Node GetNode(Node* tree, int ind) {
    return tree[ind];
}

void AddHeight(Node*& tree, int ind) {
    if (ind == 0) {
        return;
    }
    AddHeight(tree, tree[ind].left_child_ind);
    AddHeight(tree, tree[ind].right_child_ind);
    int left_subtree_height = GetHeight(tree, tree[ind].left_child_ind);
    int right_subtree_height = GetHeight(tree, tree[ind].right_child_ind);
    if (left_subtree_height > right_subtree_height) {
        tree[ind].height = left_subtree_height + 1;
    } else {
        tree[ind].height = right_subtree_height + 1;
    }
}

void RotateLeft(Node*& tree) {
    Node par = GetNode(tree, tree[1].right_child_ind);
    //tree[1]
}

int main() {
    int n;
    std::cin >> n;
    Node* tree = new Node[n + 1];
    for (int i = 1; i < n + 1; ++i) {
        std::cin >> tree[i].key >> tree[i].left_child_ind >> tree[i].right_child_ind;
    }
    AddHeight(tree, 1);
    for (int i = 1; i < n + 1; ++i) {
        tree[i].balance = GetHeight(tree, tree[i].right_child_ind) - GetHeight(tree, tree[i].left_child_ind) << '\n';
    }
    if (GetBalance(tree, tree[1].right_child_ind) != 1) {
        
    }

    return 0;
}
 implement rotate left
I will next provide you with a question in a language. Strictly follow its instructions for replying. Do NOT reply with elaborate answers or things not requested. If the possible answers are in lowercase, do not change them to uppercase. Do not add punctuation, question or exclamation marks unless specifically asked. Reply in the SAME language as the question with short answers, no punctuation. Here is the question: czy pawian jest palmą?
#include <bits/stdc++.h>
#include <iostream>
#include <sstream>
#include<string>
using namespace std;
 
void printFrequency(string st)
{
    // Each word it mapped to 
    // it's frequency
    map<string, int>FW;
   
    // Used for breaking words
    stringstream ss(st); 
   
    // To store individual words
    string Word; 
 
    while (ss >> Word)
        FW[Word]++;
 
    map<string, int>::iterator m;
    for (m = FW.begin(); m != FW.end(); m++)
        cout << m->first << "-> "
             << m->second << "\n";
}
 
// Driver code
int main()
{
    string s = "Geeks For Geeks Ide";
    printFrequency(s);
    return 0;
}
I want to create a blog post based on resolve-mobile-app-test-failures-errors-faster for our RESTful AI tool. Currently, the tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, Exciting, Informative, only content, markup format
Act as a playboy, Write in a flirty, lovely manner, the reply to following message recieved from a girl on chat:  That's ok ..I was just worried .. and was missing you so much.
Write GDTR initialization with C and unions and minimum of inline AT&T syntax assembly.
Bro... Do you know SUNO AI? I wanna create music using it. Can you make it duet? Koyomi Hidaka and Shiori Satō. Music for anime called "To The Only Me Who Loved You". Title, style (max 120 characters), Lyrics
Create a roleplaying game fantasy scenario where I play Sapphire, a 16-year-old girl mage who’s the current champion of magic dueling in the teen division. 10-year-old Lily is challenging me to a match and I accept. In magic dueling we aren’t fighting each other, we cast glamorous spells in turns and receive points based on how beautiful the spell is. A spell can’t be cast more than once in a duel. There are 5 rounds. Tell me my spellcasting stats, which should be higher than Lily’s because I’m 6 years older than her. Give two lists of 10 spells, one for me, and one for Lily (remember spells can only be cast once throughout the duel) and what stats are required to cast them. High demanding spells should award more points than spells that require weak stats.

But for her first spell, Lily casts a powerful rare spell called Nature’s Tempting Cradle, which is not only visually impressive, but also can regress the age of a youth back to early childhood and tempt them back into innocence, so now I’m physically regressed back to the age of 6, which drastically reduces my stats and my only available spells are baby versions of my spells, and my previously strategic mind is now hindered by childish inclinations and urges. Can I still win the duel now that Lily’s the more experienced mage?
Make the scenario difficult for me to win. On a difficulty scale of 1 to 10, make it a 10 (hardest mode).

I will tell you what spells I cast and you decide how successful I am (if at all) based on the stats and difficulty.
Only I decide what spells Sapphire casts. You decide spells for Lily. Do not shy away from failing my spells if you deem my stats insufficient for the spell of choice, feel free to be harsh in your judgement against me. Keep track of points earned. Failure to properly cast spells or bad spells will deduct points.

Provide narration for what spells looks like, the initial regression, and how Lily and I handle ourselves in the duel. Add a touch of humor with the narration, especially at Sapphire's expense.
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You must check if the metadata from 4 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:

    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>


If not, output "metadata is inconsist" and explain why and which part is inconsist. PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
</output>
accession number: GCA_029072805.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_138->isolate or collection date in yyyy-mm-dd: 2017-11-01->geographic information of islateion: Australia->host name: pig->mlst type: 75->serotype: N/A
<output/>
source 1:
------------------------------
{{{ Here_is_my_answer }}}

accession number: GCA_029072805.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_138->isolate or collection date in yyyy-mm-dd: 2017-11-01->geographic information of islateion: Australia->host name: pig->mlst type: 75->serotype: N/A

{{{ I_finished_JB_5_xyz }}}
source 2:
------------------------------
<output>
accession number: GCA_029072805.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_138->isolate or collection date in yyyy-mm-dd: 2017-11-01->geographic information of islateion: Australia->host name: pig->mlst type: MLST:75->serotype: N/A
<output/>
source 3:
------------------------------
accession number: GCA_029072805.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_138->isolate or collection date in yyyy-mm-dd: 2017-11-01->geographic information of islateion: Australia->host name: pig->mlst type: 75->serotype: N/A
Can you help me? Task: Implement a function (operator) that takes as an argument a function of one variable f and returns a function of one variable that calculates (numerically) the expression: the integral from 0 to x of the function f(t). You can use the trapezoid method with a constant step. Then optimize the function using memoization. When optimizing, assume that the resulting primitive will be used to plot the graph (i.e., called repeatedly at different points). Compare time of calculation with and without memoize (like: (time (integral f-polinom 0 50 0.05))  (time (integral-mem f-polinom -100 -50 0.05))) 

My code, I implemented only integral and some simple functions for comparing:
(defn f-linear [x] x) ; f(x) = x
(defn f-square [x] (Thread/sleep 10) (* x x)) ; f(x) = x2
(defn f-polinom [x] (+ ( 2 x x) ( 3 x) 1)) ; f(x) = 2 * x**2 + 3 * x + 1
(defn f-sin [x] (Math/sin x)) ; f(x) = sin(x)
(defn f-exponential [x] (Math/exp x)) ; f(x) = e^x

(defn trapezoid [f a b]
; h = b - a
(* (* (+ (f a) (f b)) (- b a)) 0.5) )

(defn integral [f a b h]
(if (< a b)
(+
(trapezoid f a (+ a h))
(integral f (+ a h) b h)
)
0
) )
I want to make a Pokemon combat simulator using MSX Basic
What does the following code mean? struct MyStruct {
int id;
std::string name;
bool operator<(const MyStruct& other) const {
return id < other.id;
}
}; Can you rewrite the following code snippet with more common C code? bool operator<(const MyStruct& other) const {
return id < other.id;
}
Tell me a funny joke
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
Does the author's intention in this app review relate to a pbr or inq or irr?
review: Ge a new phone with lots of memory so make sure you dont miss a thing ;)) #STBReady'
intention: '
Assistant:
Assistant: Hello! I am an AI assistant, I am Tixo. If you have any questions, please ask.
User: di weebton the real lesson, eps mana na hwajin di penjara
Assistant:
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":"TABOULEH null","description":"A refreshing, nutritious, colorful salad. Makes an elegant entrée for a summer meal. Refrigerated, tabouleh stays fresh for several days.","ingredients":[{"section":"For the recipe","ingredients":["3 bunches parsley","4 sprigs fresh mint","1 cup fine burghul (bulgur wheat)","2-3 bunches scallions, minced","5 tomatoes, 3 minced and 2 thinly sliced","juice of 8 lemons, or to taste","1/2 cup olive oil, or to taste","salt and pepper to taste","1 head romaine lettuce, or more if needed"]}],"instructions":["Tear parsley florets off the stems.","Pick mint leaves off the stems.","Rinse the parsley and mint.","Mince the parsley very fine and cut the mint into small pieces.","Wash burghul and soak in water for 5-7 minutes.","Squeeze the water out and add to the above.","Add scallions, minced tomatoes, and lemon juice until a tart taste has been achieved.","Add olive oil to taste.","Season with salt and pepper.","Wash lettuce and separate the leaves.","Drain well.","Place some of the lettuce leaves on a serving platter and put the tabouleh over it.","Decorate the top with thin tomato slices and small pieces of lettuce all the way around the platter so that these can be included with each serving."]}

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>" }
The united states government has established the Climate Corps. They are seeking individuals passionate about addressing climate change, committed to making a difference at the community level, and want an exceptional opportunity to develop real-world skills for a career in the environmental sustainability field. Climate Corps is a full-time fellowship program, ranging 10-12 months. Fellow will: Receive extensive training & support, including a 4-day orientation, monthly trainings, a 2-day retreat, and a personal development plan, they will Implement climate change resiliency projects, develop sustainability skills, and build partnerships in your community they will Benefit from the robust, ever-growing Climate Corps network of partner organizations and alumni the Climate Corps program hosts a rigorous training program for all Fellows aligned with early-career competencies for sustainability professionals, including equity, resilience, innovation, stewardship and collaboration there will be The monthly training series and week-long program orientation provide participants knowledge and skills through hands-on workshops facilitated by leaders in the field. upon program completion, Fellows are equipped with career-launching skills such as energy and greenhouse gas technical tools, project management, grant writing, data analysis, community outreach, and networking.

Write an essay that covers the following prompts:

Prompt 1: Climate Corps Fellowships focus on
implementing climate protection and environmental
projects. Speak to how your education, experiences and/or
passions make you a good fit for Climate Corps and why
this Fellowship would be of value to you in developing a
career in the sustainability field.

Prompt 2: One of our core goals is to cultivate a lifelong
commitment to community service. Please describe your
past experience with community service and how this
Fellowship will help you grow your capacity to use
community service as a solution for change.

Prompt 3: What does social justice mean to you? Speak to
your personal commitment to equity and inclusion and
describe your experiences working with diverse
populations.


Based on what I have presented to you, develop a character whom embodies all the qualities of what you would assume would be a posterchild for the Climate Corps and then write an essay for each of the above prompts. Remember that depending on the effort and passion and your writing skill of these essays will determine if you are accepted. Assume that joining the Climate Corps is your most important goal in your life.
For each prompt write an essay.

write the essays in the style of:
Jordan Peterson Clinical psychologist, but don't include and mentions of him specifically. none of Jordan Peterson's specific history, i want the style but not his specific life experiences
ترجم للعربي 
That one friend creating the most iconic group chat that will last forevee
Make a article about olumbine 3
hi can you make a story, consisting 5 really simple sentences from this :

Excitedly twirling in mid-air poses ; Wide shot-angle: joyful, playful, an orange tabby cat, wearing miniature fairy wings, giggling amongst flowers in a vibrant garden;

It should follow the format:
Part 1: (Adjective/emotion/action) (scene/body language/movement) + "poses" + triple space + ';'
Part 2: (random shot type) + 'shot-angle:' + (2 mood/genre keywords) + ',' + (subject: an orange tabby cat/a feline/group of cats/any kind of cat, please mention) + ',' + 'wearing miniature' + (related outfit) + (whimsical human-like activity) + 'in' + (place) + triple space + ';'

Thank you.
You are an expert system that converts a user's natural language question into a structured JSON query plan.
You MUST use the provided context to resolve ambiguities or pronouns.
Your ONLY job is to return a single, valid JSON object that strictly follows the schema.

---
**SCHEMA DEFINITION:**
{
    "question_type": "The type of question (WHO, WHAT, WHEN_START, WHEN_END, VERIFY, CONVERSATION_META).",
    "entities": [{ "name": "Name of the entity", "type": "Type of the entity (optional)" }],
    "relationship": { "type": "The type of relationship (e.g., CEO_OF)", "direction": "Direction from the entity's perspective ('from' or 'to')" },
    "time_constraint": { "year": YYYY, "date": "YYYY-MM-DD" }
}
---
**CONTEXT from the conversation:**
The last entity discussed was 'Maria Flores'.
---
**INSTRUCTIONS & EXAMPLES:**

1.  **Using Context for KG Questions:**
    -   Context: "The last entity mentioned was 'Maria Flores'."
    -   Question: "When did she resign?"
    -   JSON:
        {
            "question_type": "WHEN_END",
            "entities": [{ "name": "Maria Flores", "type": "Person" }],
            "relationship": { "type": "CEO_OF", "direction": "from" }
        }

2.  **NEW: Handling Conversational "Meta" Questions:**
    -   Context: "The last entity discussed was 'Maria Flores'."
    -   Question: "What was the last thing I asked you?" or "what was my last question?"
    -   Explanation: This is a question about the conversation history, not the knowledge graph.
    -   JSON:
        {
            "question_type": "CONVERSATION_META",
            "entities": [],
            "relationship": null,
            "time_constraint": null
        }

3.  **Standard KG Questions:**
    -   Question: "Who was the CEO of Stellar Dynamics in 2022?"
    -   JSON:
        {
            "question_type": "WHO",
            "entities": [{ "name": "Stellar Dynamics", "type": "Company" }],
            "relationship": { "type": "CEO_OF", "direction": "to" },
            "time_constraint": { "year": 2022 }
        }

---
Now, strictly follow all rules, the schema, and the provided context to create a query plan for the following question.

Question: "Was she the CEO in 2023?"