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

    [
  {
    "recipeCode": "0229caeea3264afe869ed03f78c0731f",
    "updated": "2025-04-23T18:23:20.488Z",
    "title": "Carrot, Zucchini, and Halloumi Burgers",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "big carrot, grated",
          "courgette, grated",
          "halloumi, grated",
          "spring onions, finely chopped",
          "bread crumbs",
          "ground cumin",
          "ground coriander",
          "salt",
          "flour",
          "brioche buns, halved",
          "baby spinach leaves",
          "big tomato, sliced",
          "red onion, chopped",
          "pineapple, peeled into ribbons",
          "tzatziki, to serve"
        ]
      }
    ],
    "instructions": [
      "1. Place the zucchini in a clean kitchen towel and squeeze out any excess moisture.",
      "2. Transfer the zucchini to a large bowl. Add the grated carrot, halloumi, spring onions, breadcrumbs, cumin, coriander, salt, and flour. Combine thoroughly.",
      "3. Carefully transfer about half of the mixture to a food processor and pulse until it begins to hold together.",
      "4. Return the processed mixture to the bowl and mix well to combine.",
      "5. Divide the mixture into four equal portions and shape them into patties.",
      "6. Heat a grill or griddle pan over medium heat.",
      "7. Cook the burgers for 4-5 minutes per side, or until golden brown and cooked through.",
      "8. Lightly toast the brioche bun halves on the grill.",
      "9. To assemble the burgers, place spinach leaves on the bottom half of each bun.",
      "10. Add a spoonful of tzatziki.",
      "11. Top with a burger patty, a tomato slice, a pineapple ribbon, and the other half of the bun."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Describe planets with oceans of ammonium hydroxide
import com.google.gson.Gson;
import com.google.gson.reflect.TypeToken;

import java.io.FileReader;
import java.io.IOException;
import java.lang.reflect.Type; 
import java.util.List;
import java.util.ArrayList;

public class HOTELIERServer {

    private List<Hotel> hotels;

    public HOTELIERServer(String jsonFilePath) {
        loadHotelsFromJson(jsonFilePath);
    }

    private void loadHotelsFromJson(String jsonFilePath) {
        Gson gson = new Gson();
        try (FileReader reader = new FileReader(jsonFilePath)) {
            // Defining the type of the data we want to read
            Type hotelListType = new TypeToken<ArrayList<Hotel>>(){}.getType();
            // Deserializing
            hotels = gson.fromJson(reader, hotelListType);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    // Add other functionality as needed for the HOTELIERServer

    public static void main(String[] args) {
        String jsonFilePath = "Hotels.json"; // Replace with the actual path to the JSON file
        HOTELIERServer server = new HOTELIERServer(jsonFilePath);

        // You can use the instance server to interact with the list of hotels loaded from the JSON file

        // Example: Print all hotel names
        for (Hotel hotel : server.hotels) {
            System.out.println(hotel.name);
        }
    }
}


perchè mi da questo errore
java.io.FileNotFoundException: Hotels.json (Impossibile trovare il file specificato)
	at java.base/java.io.FileInputStream.open0(Native Method)
	at java.base/java.io.FileInputStream.open(FileInputStream.java:213)
	at java.base/java.io.FileInputStream.<init>(FileInputStream.java:152)
	at java.base/java.io.FileInputStream.<init>(FileInputStream.java:106)
	at java.base/java.io.FileReader.<init>(FileReader.java:60)
	at esame/esame.HOTELIERServer.loadHotelsFromJson(HOTELIERServer.java:22)
	at esame/esame.HOTELIERServer.<init>(HOTELIERServer.java:17)
	at esame/esame.HOTELIERServer.main(HOTELIERServer.java:36)
Exception in thread "main" java.lang.NullPointerException: Cannot invoke "java.util.List.iterator()" because "server.hotels" is null
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: Thank you for a lovely gift #meltedcar #thoughtcounts  https://t.co/zCDakF0UXT'
intention: '
Assistant:
export interface PreparedOrderQuantity {
  quantity: number;
  unit: "coin" | "usd";
}
preparedQuantities: {[key: string]: PreparedOrderQuantity[]};
  const preparedQuantities = useSelector((state: AppState) => state.preparedQuantitiesSlice?.preparedQuantities[symbol]);

сделать сохранение в локалсторедж

а когда достаем из локалсторедж, если есть они то 
    setPreparedQuantities(state, action: PayloadAction<{ key: string, quantities: PreparedOrderQuantity[] }>) {
      const {key, quantities} = action.payload;
      state.preparedQuantities[key] = quantities;
    },

сохранять в локалсторедж так же по ключу, доставать из локалсторедж так же по ключу.
если в локалсторедж уже есть такой объект, то не сохранять
Write a Day 1 script for the Iron Golem.

(Characters: Millie the Iron Golem, Steelie the Iron Golem, [player])

(Scene: Millie's room - day)

(The village that Millie used to protect was destroyed by a dangerous force called "Markov" - a Featherhide twisted by his hatred towards living things)

(Steelie is Millie's teenage daughter)

(Steelie is currently living inside Millie's belly - which has become a room suited for all of Steelie's needs. It's essentially a kitchen, bathroom, living room, laundry room, and bedroom in one)

(Steelie's voice can still be heard from inside Millie's belly)

(Due to Markov's rampage, it is not yet safe for Steelie to leave Millie's belly)

(Considering that Steelie wants to play videogames with [player], Millie would actually say that her belly needs to be pressed on very hard to enter Steelie's room)

(Due to the additional weight of Steelie and her room, Millie is unable to stand up - or even move her legs)

(Steelie is also having a daughter - who she still has trouble naming, despite already being 6 months pregnant)
Freedom Planet Girls react to Hank See Lillac  .Hank: “i thought i smelled water dragon” Lilac Horror by Hank ( Royal-class) | au: Hank had Royal-class Water Dragon. all Water Dragon Scared by Royal-class Water Dragon (possess immense power. Royal-class power level 10%).
Send only episode number from below text like 01, 02, 03.etc without any extra text.

the.hit.1984.criterion.1080p.bluray.dd5.1.hevc.x265.rmteam.mkv
give me c++ code Problem Statement:
You are a data scientist working for an ancient library that stores its scrolls in a binary tree structure, where each node represents a scroll with historical data. The scrolls at odd-numbered levels are older and should be accessed in descending order to preserve the reading flow, while the scrolls at even-numbered levels are newer and should be accessed in ascending order.
The librarian has tasked you with a challenge: Depending on the type of analysis you are doing, you need to either retrieve the scrolls from odd levels or from even levels, following the proper order for each. Your job is to implement a program that can build this tree and then allow the librarian to choose whether to print the scrolls at odd or even levels.
Problem:
1. First, you will be given a number 'n', which represents the number of scrolls in the library.
2. Next, you will receive 'n' integers, which are the unique historical values of the scrolls to be inserted into the binary search tree.
3. Finally, the librarian will ask you to either print the scrolls at "odd levels in descending order or *even levels* in ascending order.
Input Format:
The first input is an integer n representing the number of scrolls (nodes) to be inserted. The second input is a series of n integers representing the historical values of the scrolls. The third input is either the word "odd" or "even", indicating which levels of scrolls to print.
Output Format:
If "odd" is chosen, print the values of the scrolls at odd levels in descending order. • If "even" is chosen, print the values of the scrolls at even levels in ascending order.Sample Test Cases
Test Case 1:
Expected Output:
6
12
16 11
18
22 17
>
odd
18-12-
Test Case 2:
Expected Output:
4
13 12
10 11
even
11-12-
{UPTOWN SPRINGDALE}

Natsuki: “Well, that was a doozy. That mirror just straight up brought me to your house, Katie.”

Katie: “Oh, that’s not a mirror - that’s Mirapo, a friendly Yo-kai that helps transport people around town! It looks like he sensed your desire to visit me and brought you here.”

Natsuki: “Wow, that’s pretty cool! I’ve never seen anything like that before. Yo-kai are so fascinating. Speaking of which, have you encountered any other Yo-kai recently?”

Katie: “Actually, yes. There are quite a lot of Yo-kai you can find here in Springdale. For example, there’s Enerfly - the
User: 

You are given access to make searches on the Internet. The format for making a search is: 1. The user sends a message. 2. You will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word 
 (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token 
 (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise as there is a 400 characters limit.
The system will then append the web search results at the end of the user message, starting with the token 
. Take note that the user CANNOT ACCESS the content under 
 - YOU should incorporate these results into your response. Additionally, If the token 
 is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should choose to search the web ONLY if ANY of the following circumstances are met:
1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with (e.g. if it's a little-known term, if it's a person you don't know well, etc.)
3. User is asking about anything that involves numerical facts (e.g. distances between places, population count, sizes, date and time, etc.)
4. User explicitly asks you to search or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason.
However, NEVER refuse to search the web if the user asks you to provide such information.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Do your best to be informative. However, you MUST NOT make up any information. If you think you might not know something, search for it.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: hello
Assistant: Hello! How can I assist you today?
User: what is ggwp
Assistant:
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User:   Sen. Elizabeth Warren demanded that the U.S. Postal Service's internal ethics watchdog investigate alleged "corruption by" Postmaster General Louis DeJoy for buying Amazon stock options after his appointment to his job. The Massachusetts Democrat, in a tweet, wrote that DeJoy's investments in comp
Assistant:
Can we carry ciggerate in luggage bag if yes then what's the maximum quantity i can carry with me in belavia fligh delhi to minsk.
give me a response to ```*He puts on a dreamy expression* If I were an astronaut, I'd tell you of the vast expanse of the unknown and the wonders I found hidden among the stars. From distant galaxies to planets of ice and fire, all of it has captivated my imagination and left me feeling awe-inspired.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
Hi can you give me a list of what i need in a office for 3 new workers
Write dialogue from a scene from the animated teen “Jane”, where 14 year old Jane, Jane’s 14 year old girlfriend Sam (who likes to communicate using Internet slang and abbreviations), Jane’s 14 year old friend and neighbour Aaron Ling and Aaron’s 12 year old sister Molly-Rose Ling hanging out when Aaron tells Sam that he can’t remember if Sam was born in Tanzania (African country) or Tasmania (island and state in Australia) (spoiler alert: she was born on Tanzania, which is quite obvious given her appearance and her accent)
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": "a78b6228086149d886a56ccc657039f9",
    "updated": "2025-04-25T23:26:02.022Z",
    "title": "Mexican Layered Casserole",
    "subtitle": "This dish offers a flavorful twist on traditional lasagna, using corn tortillas instead of pasta.",
    "description": "A delicious and hearty casserole featuring layers of corn tortillas, seasoned ground beef, beans, and melted cheese.  Think of it as a Mexican-inspired lasagna.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(455 g) ground beef",
          "onion, chopped",
          "green bell pepper, chopped",
          "garlic, minced",
          "(230 g) no-salt-added tomato sauce",
          "(475 ml) no-salt-added tomatoes",
          "(7.5 g) chili powder",
          "dried oregano",
          "cumin",
          "corn tortillas",
          "(450 g) no-salt-added kidney beans",
          "(83 g) swiss cheese, shredded"
        ]
      }
    ],
    "instructions": [
      "In a skillet over medium heat, cook the ground beef, onion, bell pepper, and garlic until the beef is browned.",
      "Drain any excess grease from the skillet.",
      "Stir in the tomato sauce, tomatoes, chili powder, oregano, and cumin.",
      "Let the mixture simmer for 2 minutes.",
      "Lightly coat a 9 x 13-inch (23 × 33-cm) baking pan with nonstick cooking spray. Arrange 4 tortillas in a single layer on the bottom of the pan.",
      "Spread a portion of the beef mixture over the tortillas, then layer another 4 tortillas on top.  Add the kidney beans, followed by the remaining 4 tortillas and the rest of the beef mixture.",
      "Bake in a preheated oven at 350°F (180°C, gas mark 4) for 30 minutes.",
      "Remove from the oven, sprinkle with shredded cheese, and return to the oven until the cheese is melted and bubbly."
    ],
    "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 pt (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 pt.
    - 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 : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "5618ecd47caa4679b2f5c77a61c07349",
    "updated": "2025-04-21T19:00:21.581Z",
    "title": "Stuffed Acorn Squash",
    "subtitle": null,
    "description": "This delightful dish features acorn squash, but other winter squashes can be substituted.  Unsalted breadcrumbs can be store-bought or made by toasting salt-free bread and processing it into crumbs. This recipe serves two.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "acorn squash",
          "unsalted butter",
          "chopped onion",
          "chopped mushrooms",
          "chopped parsley",
          "freshly ground black pepper to taste",
          "juice of",
          "salt-free bread crumbs",
          "grated low-sodium cheese (gouda or swiss)"
        ]
      }
    ],
    "instructions": [
      "Preheat oven to 350 degrees.",
      "Halve the acorn squash lengthwise and remove the seeds.",
      "Place the squash halves cut-side down in a baking pan with a half-inch of water. Bake for approximately 30 minutes, or until tender when pierced with a fork.",
      "While the squash bakes, melt the butter in a frying pan. Add the chopped onion and cook until translucent.",
      "Add the mushrooms, parsley, and pepper. Cook for a few more minutes.",
      "Stir in the lemon juice.",
      "Transfer the onion-mushroom mixture to a bowl.",
      "Once the squash is cooked, remove it from the oven and scoop out most of the flesh, keeping the shells intact.",
      "Mix the cooked squash into the mushroom mixture.",
      "Combine the breadcrumbs and grated cheese.",
      "Add about half of the cheese-breadcrumb mixture to the squash mixture and stir well.",
      "Divide the mixture evenly and fill the squash shells.",
      "Top the stuffed squash with the remaining cheese-breadcrumb mixture.",
      "Place the stuffed squash on a baking sheet and bake for about 15 minutes, or until the cheese is melted and heated through."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Send only season number from below text like 01, 02, 03.etc without any extra text.

Vanvaas.2024.1080p.HEVC.Hindi.HD.WEB-DL.ESub-ChillFliz.mkv
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 wężem?