agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Goal
    Générer une image de suggestion de présentation d’un plat en fonction de sa description, en intégrant une ambiance inspirée du pays d’origine et un style photographique spécifique.

    1. Utiliser la description fournie pour définir l'apparence du plat.
    2. Ajouter une ambiance souhaitée.
    3. Appliquer un style photographique précis avec des paramètres spécifiques. 
    4. Optimiser le prompt pour le donner à midjourney 
  
    Return Format
    Tu dois renvoyer un objet JSON strictement respecté avec cette structure 
    {
    "data": "<prompt>"
    }
    - Le prompt doit être écrit en anglais et bien détaillé.

    Warnings
    - Respecte le format JSON strict.
    - N’explique pas la démarche, renvoie uniquement l’objet JSON.
    - Le prompt doit inclure tous les éléments demandés.

    Context Dump
    Description fournie : Create a visually stunning presentation of 'Sheep Cheese Bricks Shareable Kémias'. Imagine beautifully arranged golden-brown triangular pastries, their flaky brick pastry glistening with a light sheen of olive oil. Each piece contains a vibrant green filling of cooked spinach and crumbled sheep feta cheese, topped with glistening, sweet orange jam and roasted pine nuts, giving a touch of glossy texture. Surround the pastries with a delicate sprinkle of finely chopped fresh herbs for an added pop of color. Include a small bowl of extra orange jam for dipping and arrange on a rustic wooden platter, with soft lighting to enhance the warm hues of the kémias.
    Ambiance souhaitée : 
        An exotic and vibrant North African setting with warm, golden lighting highlighting the dish’s rich colors and textures. The food is served in a traditional ceramic tagine or ornate brass platter, accompanied by couscous, olives, and harissa in small decorative bowls. The table is adorned with intricate mosaic patterns, engraved tea glasses filled with fresh mint tea, and woven baskets of warm, freshly baked bread. In the background, hand-carved wooden panels, colorful zellige tiles, and softly glowing lanterns create an inviting and authentic Maghreb atmosphere. The scene radiates warmth, hospitality, and the deep culinary traditions of Morocco and Tunisia.
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: Remove deprecated methods from CustomTabsIntent.Builder'
intention: '
Assistant:
Assistant:
Assistant: Hello! How are you today?
User: siapa freya jayawardana?
Assistant:
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:

تلخصها في الشنقال و الساشيات السوداء و الكاغذ الاشخم متاع و ليوم الاثنين اوت تنشر مقالة مجهولة للدفاع عن دولة القانون
# models.py
from gradio_client import Client
from typing import Any, Dict, List, Tuple

class AIModel:
    def __init__(self, name: str, space: str, commands: Dict[str, str], api_key: str):
        self.name = name
        self.space = space
        self.commands = commands
        self.api_key = api_key
        headers = {
            "Authorization": f"Bearer {self.api_key}"
        }
        self.client = Client(space, headers=headers)
        self.reset_textbox()
    def enable_inputs(self) -> Any:
        return self.client.predict(api_name="/enable_inputs")

    def reset_textbox(self) -> Any:
        # Сброс контекста через API, создавая новый экземпляр Client
        headers = {
            "Authorization": f"Bearer {self.api_key}"
        }
        self.client = Client(self.space, headers=headers)
        return self.client.predict(api_name="/reset_textbox")

    def predict(
        self, 
        inputs: str, 
        top_p: float, 
        temperature: float, 
        chat_counter: int, 
        chatbot: List[Tuple[str, str]], 
        api_name: str = "/predict"
    ) -> Any:
        print(self.space)
        print(api_name)
        return self.client.predict(
            inputs=inputs,
            top_p=top_p,
            temperature=temperature,
            chat_counter=chat_counter,
            chatbot=chatbot,
            api_name=api_name
        )

    # Добавьте другие методы, если необходимо

def get_models(api_key: str) -> Dict[str, AIModel]:
    return {
        "o1m": AIModel(
            name="o1mini",
            space="yuntian-deng/o1mini",
            commands={
                "enable_inputs": "/enable_inputs",
                "reset_textbox": "/reset_textbox",
                "predict": "/o",
                "reset_textbox_1": "/reset_textbox_1",
                "predict_1": "/predict_1",
            },
            api_key=api_key
        ),
        "o": AIModel(
            name="ChatGPT4",
            space="yuntian-deng/ChatGPT4",
            commands={
                "enable_inputs": "/enable_inputs",
                "reset_textbox": "/reset_textbox",
                "predict": "/o",
                "reset_textbox_1": "/reset_textbox_1",
                "predict_1": "/predict_1",
            },
            api_key=api_key
        ),
        "o1": AIModel(
            name="o1",
            space="yuntian-deng/o1",
            commands={
                "enable_inputs": "/enable_inputs",
                "reset_textbox": "/reset_textbox",
                "predict": "/o1",
                "reset_textbox_1": "/reset_textbox_1",
                "predict_1": "/predict_1",
            },
            api_key=api_key
        ),
        # Добавьте другие модели здесь, если необходимо
    } как сделать чтобы был контекст разговора с помощью api
Thease are WordPress theme/plugin strings for i18nTranslate to Persian, please respect the official WordPress Persian glossary in your translations and give back pure text as I like copy/paste em.Here is the text to translate: Text and Image
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":"Compote de pommes null","description":null,"ingredients":[{"section":"Pour 2 adultes et 1 bébé","ingredients":["1 bâton de vanille","4-6 pommes sucrées et juteuses","un peu de jus de citron"]}],"instructions":["1. Diviser les pommes en quatre et enlever les pépins.","2. Préparer une casserole et recouvrir le fond d'un peu d'eau. Mettre les pommes dans la casserole et les faire cuire jusqu'à ce qu'elles soient al dente.","3. Grattez la gousse de vanille et ajoutez-la aux pommes avec un peu de jus de citron.","4. Verser le contenu de la casserole dans un bol et réduire en purée de pommes."]}

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>" }
Scenario:

A scrap metal dealer sorts magnetic and non-magnetic metals into separate piles for recycling The simplest way to do this is to use a crane with a magnet BUT it is difficult to remove the metals that do stick to permanent magnets

Design Brief:

Specifications

Constraints the design brief must include a clear description of the problem the specification must have at least five or more applicable specifications and the list of constraints must be five or more that are applicable Grade 7 Homework
### Design Brief: Magnetic and Non-Magnetic Metal Sorting System

#### Problem Description:
A scrap metal dealer needs to efficiently sort magnetic metals (like iron and steel) from non-magnetic metals (like aluminum, copper, and brass) for recycling purposes. Current methods using permanent magnets attached to cranes have proven effective in lifting and sorting magnetic metals but pose a significant challenge when it comes to detaching these metals from the magnet. This inefficiency causes delays and increases labor costs. Therefore, a new solution is required to streamline this sorting process.

#### Specifications:
1. Magnetic Sorting Efficiency:
- The system should be able to reliably extract over 95% of magnetic metals from mixed scrap heaps.

2. Quick Release Mechanism:
- Incorporate a mechanism that allows for easy and rapid release of magnetic metals from the magnet without manual intervention.

3. Safety Measures:
- Ensure the system includes safety features to protect workers from accidental injuries due to magnetic forces and heavy lifting machinery.

4. Durability:
- The system must be designed for heavy-duty use and should operate continuously without significant wear and tear for at least 5 years.

5. Energy Efficiency:
- The system should be energy-efficient, minimizing electricity consumption to keep operational costs low.

6. Automation Capability:
- Ideally, the system should feature automated processes or the potential for future automation to minimize manual labor.

7. Cost-Effectiveness:
- Must be economically feasible with a total cost (including maintenance) that represents a justifiable investment for the scrap metal dealer.

#### Constraints:
1. Space Limitations:
- The system must fit within the existing yard space without requiring substantial restructuring of current layout.

2. Weight Capacity:
- The crane and its associated machinery need to handle varying weights of metal (minimum 500 kg to a few tons) without compromising stability.

3. Compatibility:
- The new system must be compatible with the existing infrastructure and machinery to avoid additional costs.

4. Environmental Regulations:
- All machinery and processes must comply with local environmental regulations to ensure there are no hazardous emissions or excessive noise pollution.

5. Cost Limitation:
- The overall budget for implementing
Error

Something went wrong
Connection errored out.
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:

وتتعدى هاذيكا تمشيلي خطية بميات ألف متين دينار توصل لمليون
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
Hunter × Hunter S03E04 [RareToonsIndia]_360P SD.mp4
The following accuracy calculator uses CrossEntropyLoss. Convert it so that it uses MSELoss:

criterion = nn.CrossEntropyLoss()
…

train_loss += loss.item() * y.size(0)
train_acc += (output.max(1)[1] == y).sum().item()

Let me know if you need more info.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[DRN] Suzhal.The.Vortex.S01E02.The.Stalker.1080p.AMZN.WEB.DL.DDP5.1.H.264-DAS.mkv
Переведи на русский с адаптацией:
All RF power is the same (it has no voltages), so you can use RF conduits to route power from wherever you’re generating and converting to EU with &3Energy Converters&r for each voltage. You don’t have to use this setup, but it’s the most foolproof one for a beginner. And if you’re an expert, well… you don’t need my advice.
Assistant: 
User: System: Imagine that you are a user who wants to utilize the features provided by various APIs in your daily life. Your task is to come up with realistic scenarios for using these APIs and express them as natural language instructions, as if you were asking a friend or assistant for help.
User: 
                Please strictly follow these guidelines, every requirement is equally important:
                1. The instructions should be 1 to 2 sentences long. Use a mix of interrogative sentences, first-person statements, imperative sentences, and other structures that convey a request. Aim for diversity in your instructions.
                2. Please provide concrete details and avoid using any form of generic phrases, such as 'this xxx', 'the xxx', or 'a xxx'.
                3. Your instructions should only involve the features provided by these APIs.
                4. Generate 10 diverse instructions.
                5. Use specific nouns and real-world examples from various domains, such as entertainment, sports, or technology.
                6. Do not mention the API's name in your instructions.
                7. Ensure diversity in language by combining questions with imperative statements and other structures that convey a request.
                8. The instructions should be in the language of the country attribute in the provided API information.
                9. The generated problem must strictly follow the API's parameter information.
                10. If country is Global, please generate 10 instructions in English.

                Here is the API information:
                {'country': 'China', 'tool_name': '游戏图片API', 'api_list': {'name': '游戏图片接口', 'url': 'https://api.52vmy.cn/api/img/tu/game', 'description': '随机获取一张游戏图片', 'method': 'GET', 'required_parameters': [], 'optional_parameters': [], 'statuscode': '200', 'schema': {}}}
                Please generate the question in the language of the specified country.
                your response:
Assistant:
Assistant:
Create a title, Create a detailed how-to blog heavily on webinar-making-the-transition-from-manual-to-automated-testing; start with a catchy statement and 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, with keywords, short and simple, without mentioning blvck.ai
You are a translation assistant for a Fortnite Save the World Discord server. Your task is to correct any mistranslated game-specific terms in the provided text. Focus on weapon names, hero names, material names, and game mechanics. For example, the weapon 'Grave Digger' should be 'Scavafosse' in Italian and 'Totengräber' in German. Do not use these examples as fallbacks for other languages. Ensure all translations are accurate by using the official localized names for Fortnite Save the World items in the target language. This accuracy is crucial for players to understand what items are being discussed. Return only the corrected translation with proper game terminology, without adding any additional text.

Original text: ?
Machine translation: None
Target language: italian
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
 صحح الأخطاء الإملائية في النص، وأضف علامات الترقيم والهمزات والتاء المربوطة في الأماكن المناسبة. (ar).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
لا عادي ولا يهمك هو عموما حضرتك تقريبا نزلت حاله يوم الجمعه وما دخلتش كلمتني ولا دخلت الشات ولا شفته فعادي يعني يعني انت قلت لي انك هتكلمني فما كلمتنيش فانا عشان كده ما دخلتش كلمتك باعتبار ان انت مشغول بس انت ازاي كنت مشغول ونزلت عادي
Assistant:
Create a long detailed text about actress Linda Christian with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Filming in Acapulco] Summary: [Interestingly, while filming the movie, Lana took a brief hiatus of 4 days to join Tyrone in Mexico, where he was working on Captain from Castile. Shortly after her appearance in Green Dolphin Street, Linda secured a role in an RKO film called Tarzan and the Mermaids, which would be shot in the picturesque location of Acapulco, Mexico.]

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
rewrite this solution in latex, include \begin{lemma} \end{lemma} for lemmas \begin{claim} \end{claim} for claims:
The largest such number is $\boxed{m = 35}$. We first show that $ m $ cannot be larger than $35$ by constructing a specific marking where no two unmarked squares are adjacent when $m = 36$. Color the chessboard in the standard way with alternating black and white squares. There are $72$ black squares and \(72\) white squares. Pair each of the \(36\) black squares in the first six rows with an adjacent white square and mark these \(36\) pairs. This covers \(72\) squares (all black squares in the first six rows and \(36\) white squares adjacent to them). The unmarked squares are the \(36\) white squares in the last six rows and the \(36\) black squares in the last six rows. In the chessboard coloring, no two white squares are adjacent, and no two black squares are adjacent. Therefore, the remaining unmarked squares (all of one color) are not adjacent to each other. We now prove that for \( m = 35 \), no matter how the \( m \) pairs are selected, there will always be at least two adjacent unmarked squares. After marking \(2m = 70\) squares, there are \(144 - 70 = 74\) unmarked squares. In a bipartite graph like the chessboard grid, the maximum size of an independent set (a set of vertices with no edges between them) is equal to the number of vertices in one partition, which is \(72\) (either all black or all white squares). Since we have \(74\) unmarked squares and the largest possible independent set is \(72\), by the Pigeonhole Principle, at least two unmarked squares must be adjacent.

here is the probelm that it is trying to solve:
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:   Andrew Left, an American short-seller banned from trading in Hong Kong for a damning report he wrote on Evergrande, says the Chinese property developer's debt crisis was "a long time coming."  Left told CNBC the Evergrande crisis is not a "Lehman moment" for China, and said he doesn't think Evergr
Assistant:
Hi, bro. Are you ready for short javascript task?
What substance appears on a fig tree before it bears fruit