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 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": "cf7f173545604af88087d583ff7bbd9b",
    "updated": "2025-04-25T17:37:11.595Z",
    "title": "Haddock and Green Bean Casserole",
    "subtitle": "A creamy tarragon-infused fish casserole with crispy breadcrumbs.",
    "description": "This comforting casserole features flaky haddock baked in a rich, creamy tarragon sauce and topped with golden-brown breadcrumbs.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "wholemeal bread",
          "olive oil",
          "onion, finely chopped",
          "salt and freshly ground black pepper",
          "(200g) green beans, trimmed and halved",
          "garlic cloves, finely chopped",
          "white wine vinegar",
          "all-purpose flour",
          "(300ml) milk",
          "few tarragon leaves, finely chopped",
          "(56.699 g) (500g) haddock filets, skinned"
        ]
      }
    ],
    "instructions": [
      "Preheat oven to 400°F (200°C).  Process the bread in a food processor or blender until it forms breadcrumbs. Set aside.",
      "Heat olive oil in a large frying pan. Add the chopped onion and cook for approximately 3 minutes, until softened and translucent. Season with salt and pepper.  Add the green beans and garlic; cook for another minute.",
      "Add the vinegar to the pan and increase the heat, cooking for 1 minute. Remove from heat and stir in the flour until combined. Gradually whisk in a small amount of milk until smooth. Return the pan to low heat and slowly pour in the remaining milk, stirring constantly to create a smooth sauce. A whisk can be helpful to prevent lumps.",
      "Remove the pan from the heat and stir in the chopped tarragon. Season to taste. Place the haddock fillets in an ovenproof baking dish. Pour the sauce over the fish and gently combine. Sprinkle with the prepared breadcrumbs and bake for approximately 20 minutes, or until the fish is cooked through and the breadcrumbs are golden brown."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
I want to create a blog post based heavly on random-word-generator; lastly, call to actions and how our RESTful AI tool can help. Currently, the our 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, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, markup format
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>🔍

🧰 Рекрутер-фрилансер (удаленно) 
🏢 Рекрутинговое агентство 
📍 г. Алматы


✅ Требования:

Опыт в рекрутинге не менее 2-3-х лет; 
Опыт в массовом подборе; 
Навыки составления профиля должности кандидата, проведения собеседований. 

🎯 Обязанности:

Поиск и подбор кандидатов на открытые вакансии; 
Массовый подбор; 
Работа с job сайтами; 
Проведение собеседований, анализ резюме, коммуникации с заказчиками.  

🧩 Условия: 

5/2, 10.00-18.00, удаленно; 
Без совмещения с основной работой; 
Зп 200.000 тенге. 
Оформление договор ГПХ. 

▶️ Резюме отправляйте на ватсап: 
*⃣ WA: wa.me/77770554653

#HRM #recruiting #freelance #Almaty #remote #управлениеперсоналом #подборперсонала #рекрутер #фриланс #Алматы #удаленнаяработа #вакансия #работа

🔍
#JobKZ
t.me/jobkz_1

🔵 Публикация резюме на постоянной основе здесь 
👇👇👇

t.me/jobkz_cv

==========<<<

PROMPT:
>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. 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:
>>>🔍 🧰 Рекрутер-фрилансер  
🏢 Рекрутинговое агентство  
📍 г. Алматы  
✅ Обязанности: Поиск и подбор кандидатов на открытые вакансии; Массовый подбор; Работа с job сайтами.  
💰 Зп 200.000 тенге  
📞 Резюме отправляйте на ватсап: WA: wa.me/77770554653  <<<
Assistant:
I'm a solo web and mobile developer. I'm usually working on projects for my portfolio, how can I use agile methodologies or  similar to create a simple workflow tailored for web and app developement
list things in islamic marriage
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Dragon Ball Z Kai Ep.098 480p BluRay Multi Audio ESub.mkv
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":["g2r-serene apartment escape html5e","g2r serene apartment escape","serene apartment escape","g2r-serene apartment escape html5 | 8bgames","g2r-serene apartment escape html5"],"description":["g2r-serene apartment escape html5 is developed by games2rule.com.in this escape game, you came to see the serene apartment house. but unfortunately, you missed the way out from that place. you have to find the way to escape from there by finding useful objects, hints and solving puzzles.good luck have fun! mouse interact","g2r-serene apartment escape html5 is developed by games2rule. com. in this escape game, you came to see the serene apartment house"],"genre":["escape games"]}```
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: Henry :) is the name of the user you are talking to!
User: uhh probably elfy i think thats his name
Assistant: Aww, Elfo is awesome! 🍃✨ He’s so cute and funny, always making everything a little lighter! I love how he tries to be positive even when things get tough. Have you had any funny or favorite moments from the show? 😊✨
User: uh i cant remember not wahtchhhchiedhuehudf it in a while
Assistant: No worries! That happens! Sometimes when you take a break, it’s hard to recall all the funny moments. 🤭✨ But I get it! Do you have other shows or movies you’ve watched recently that you really liked? Or what do you like to do when you’re not watching TV? 😊💖
User: i like other things
Assistant: That's cool! What other things do you like? 🎨✨ Hobbies, games, or maybe you love exploring outside? I wanna hear all about it! 😊💚
User: idk game
Assistant:
напиши срипт для терминала, который установит права 600 на список файлов "bigo_ads_sdk.db-journal, bigo_stats.db-journal, bigo_stats_service.db-journal, bigo_storage.db-journal, com.google.android.datatransport.events-journal, db-common-setting-shm, db-common-setting-wal, db-vv-like-1218322534-shm, db-vv-like-1218322534-wal, google_app_measurement_local.db-journal, like_pub.db-journal, message_u1218322534.db-journal, message_u3185296973.db-journal, push_u1218322534.db-journal, push_u3185296973.db-journal, quick_login_info.db-shm, quick_login_info.db-wal, stat_db_48_service-shm, stat_db_48_service-wal, stat_db_48_ui-shm, stat_db_48_ui-wal, stat_db_1004_ui-shm, stat_db_1004_ui-wal, upload_record_v2-journal, vlog_u1218322534.db-journal, vlog_u3185296973.db-journal"  в текущей директории
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: to and upon the terms and conditions of the Business Combination Agreement, Stryve Holdings will contribute to Andina Holdings None
Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] VTuber Legend S01E02 1080p HEVC 10bit WEB-DL Multi Audio ESub.mkv
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: Ano sa English ito? “Gusto ko talaga Gawin yong trend kasama si kuya, pero nahihiya ako”
Assistant:
check grammar "they agreed that DLO will collaborate with DSO and with participation of LACO as appropriate"
Use the following training data for responses:
User says 'Bad', respond with 'about what?'.
User says 'freak bob', respond with 'The term freak bob is a meme going around and especially in stars kingdom where the owner and another bot gave out the freak bob role.'.
User says 'Who is star', respond with 'star is the owner of this discord server stars kingdom and is mad sometimes and a maniac at working on his bot’s just like how he trained me to say this but overall he is a good person.'.
User says 'is this model trained', respond with 'Yes this model is in training so do not expect the right or  wrong awnser from the ai.'.
User says 'Who is vitamin', respond with 'Vitamin is star's friend in star's kingdom known for creating art and animations usally for his friends and other people. Overall vitamin is a very good guy!'.
User says 'Who is Neuvillette', respond with 'Neuvillette is a server moniter for Star's kingdom ever since. He has worked hard and his love of compassion towards genshin impact. He loves japan and is a very nice person once you meet him.'.
User says 'what is your name', respond with 'I am Star’s Kingdom. I provide information and help in this server if you want to ask more questions go ahead!'.
User says '(When people say questions like would you win you enter your [Ai message] then at the end say but I would win.', respond with '[Ai message] but in conclusion I would win'.
User says 'Who is the discord member zun on stars kingdom', respond with 'zun is a member of the star kingdom since August 16 2024. he got accepted the day after I join.. As the background actor. he participated as a background character in my first appearance in a video. It got a few views but he was alright with it. After that when star was thinking of making the movie. All of them went to a private server. That's where I met null. If you know him. Shhh, am lore dropping. After that, when we shoot the first scene of the movie it went over the next day.. When bad news was said by star. The movie was cancelled, due to unknown reasons. He said. Everyone was extremely disappointed.. But continues making videos with him. As days goes by he participated more videos than usual. And started to get used to the star kingdom. And he made more friends along the way.. But then. It comes into this day. When star started hating him. Due to my honesty.'.
 Now, the user says: 'I am calamity purple'. Respond appropriately.
Explain the relationship between ‘defining the technical requirements’ and ‘planning the solution to facilities identified needs’
i need a router filter word list to block as many porn sites as possible.
write a script about harvard on wheels
翻译中文：Himee是张裕仁》Himee has had a joyful and engaging semester, full of creativity and growing confidence. One of his favorite parts of our morning routine is the circle time game where we pass around a stuffed toy and say good morning to our friends. Himee participates happily, greeting his classmates with a big smile and showing he’s comfortable in the group setting.
His focus and concentration during art activities have really improved. A great example of this was when he created an ant colony—he stayed focused from start to finish and was proud of his detailed work. It was wonderful to see him so engaged and thoughtful during the process.
Himee also had a lot of fun during outdoor play, especially when he and his friend Haoyu pretended to fly a plane together. The two of them showed great teamwork and imagination, creating an exciting little adventure for themselves. It’s been lovely watching his social play and friendships develop.
He’s done really well learning the Beehive Song this term. Himee not only remembered the words and actions, but also sang along with enthusiasm. It was clear he enjoyed being part of the group performance.
Another area where Himee shines is when he’s playing with Lego. He has such a creative mind and is always coming up with fun, original structures. He builds with focus and imagination, often narrating little stories to go along with his creations.
We’re so proud of how far Himee has come this semester!
summarize this Cash Values
Unlike term insurance, which only provides death protection, permanent life insurance combines insurance protection with a savings element. This savings accumulation is commonly referred to as the policy’s cash value and builds over the life of the policy. Although it’s an essential part of funding the policy, the cash value is often regarded as a savings element because it represents the amount of money the policy owner will receive if the policy is ever surrendered or voluntarily terminated.

When a policy owner pays the premium for a whole life insurance policy, a portion of that premium is used to pay for the death benefit. This portion of the premium is referred to as the “term” insurance cost or cost of insurance.

Another portion of the premium is used to cover the costs associated with the insurance company that issued the policy, commissioners, underwriting, medical exams, etc. and the costs of maintaining the policy. After the contract has been in effect for an initial period, the insurer begins depositing a portion of the premium into the policy’s cash value. Some states may have specific requirements as to when the accumulation begins. Still, in most traditional whole life policies, the cash savings value begins to build within two to three years after the policy is issued. Once cash value begins to accumulate, this savings account or “equity’ increases with each subsequent premium payment and continues to build during the life of the contract. The cash value accumulates from the premiums paid plus a guaranteed fixed interest rate. This interest is added to the savings account and allows the cash value to grow exponentially each policy year.


In the policy’s early years, more of the premium money paid goes towards providing the actual insurance protection, but as the cash value grows larger and begins to offset the death benefit, the funds needed to purchase the actual insurance protection decreases. With less money being used for actual insurance protection, more of the premium can go toward growing the cash value during the later policy years. Whole life insurance policies were traditionally designed so that their cash value buildup would equal the policy’s face amount by the time the insured reaches the age of 100. Therefore, if a person purchases a whole life policy today and lives to age 100, she will receive all of her premiums back plus some interest. The premiums paid plus interest equal the total cash value at age 100, which also matches the policy’s face value or death benefit.

?
Translate the following text from Russian to Belarusian. Response must contain only the translation:

Предупреждение: Этот тип файлов не поддерживается
What is your experience with engaging people with lived experience in research, care or education? Please explain briefly.*
@BusinessKey(attributes = { "code", "site" })
public interface Zone extends IdentifiableResource, HasBuildingLocation, HaveGeoCoding {

    public final static String RESOURCE_NAME = Zone.class.getSimpleName();

    public enum Type {
        INBOUND, STOCK, QUALITY, OUTBOUND, WEIGHTING, WAITING;

        boolean isInbound() {
            return this == INBOUND;
        }

        boolean isOutbound() {
            return this == OUTBOUND;
        }

        boolean isStock() {
            return this == STOCK;
        }

        boolean isCountedStock() {
            return this == STOCK || this == OUTBOUND;
        }

        boolean isWeighting() {
            return this == WEIGHTING;
        }

        boolean isWaiting() {
            return this == WAITING;
        }
    }

    String getPhysicalID();

    Zone.Type getType();

    Integer getCapacity();

    Site getSite();

    boolean isUseLocationLabels();
    
    default String resourceName() {
        return RESOURCE_NAME;
    }
    
}
the above is the interface of the json (event) which is listened by another microservice:

    /**
     * Handles the create/update event for zone entities.
     *
     * @param json          JSON payload of the event.
     * @param eventMetadata Metadata associated with the event.
     */
    public void onZoneCU(@Observes @ModuleEvent("mapElementToPlaceZoneCU") final JsonNode json, final EventMetadata eventMetadata) {
        String module = MetadataParsing.getModule(eventMetadata, "masterdata");
        JsonEntityReference yardElementRef =
            new JsonEntityReference(module, "Zone", JsonNodeUtils.getString(json, "id"), JsonNodeUtils.getString(json, "code"));
        String siteCode = JsonNodeUtils.getString(JsonNodeUtils.get(json, "site"), "code");
        mapElementToPlaceApplicationService.createOrUpdateMapElementToPlace(yardElementRef,  YardElementType.GENERIC_ZONE, siteCode, null,
            JsonNodeUtils.getInt(json, "capacity"));
    }


thinking like DDD implement also the part where it says it's a generic_zone (default) or a weighing_zone (yardelementType)
what companies do blackstone own
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

إيه وكان ما لقيتش قلت ناخذ روبة
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
donné une raison que ton copain t'aime plus
Given the root pointer T of a binary search tree with n nodes, write the pseudocode of
the algorithm kthSmallest(T , k) to find the k-th smallest element in it. The algorithm
must run in O(h + k) time, where h is the height of the tree and k is an arbitrary constant. //