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

    [
  {
    "recipeCode": "5d12f8ac094948aa9df84bac423f8f0a",
    "updated": "2025-04-21T13:46:53.045Z",
    "title": "Chicken Tetrazzini",
    "subtitle": "Enjoy a healthier take on a comforting classic.",
    "description": "A lighter version of classic Chicken Tetrazzini, this recipe delivers rich flavor without excessive sodium and fat. Leftover turkey can be used as a substitute for chicken.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(28 g) unsalted butter",
          "(16 g) all-purpose flour",
          "(410 ml) skim milk",
          "(110 g) swiss cheese, shredded, divided",
          "(25 g) parmesan cheese, grated, divided",
          "(230 g) spaghetti, broken, cooked, and drained",
          "(165 g) cooked chicken, cubed",
          "(115 g) mushrooms, sliced",
          "(30 g) red bell pepper, chopped"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 350°F (180°C, gas mark 4).",
      "In a large saucepan, melt the butter over low heat.",
      "Stir in the all-purpose flour.",
      "Continue stirring for 2 minutes.",
      "Gradually whisk in the skim milk until smooth.",
      "Cook, stirring constantly, until the mixture thickens.",
      "Add 1/2 cup (55 g) of the shredded Swiss cheese and 2 tablespoons (10 g) of the grated Parmesan cheese. Stir until the cheese is melted and incorporated.",
      "Gently combine the cooked spaghetti, cubed chicken, sliced mushrooms, and chopped red bell pepper.",
      "Transfer the mixture to a 1 ½-quart (1½-L) baking dish.",
      "Bake for 20 minutes.",
      "Sprinkle the remaining Swiss and Parmesan cheese over the top and continue baking until the cheese is melted and bubbly."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
manga en japonais
Unlock the Secrets of Effective Leadership and Transform Your API Testing

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### Master the Art of Leadership

1. **Visionary Thinking**: Leaders with a clear vision can guide their teams effectively. Translate this into your work by imagining the ideal outcome for your projects and setting clear, strategic goals to achieve that vision.

2. **Resilience**: Miles emphasizes the importance of resilience—the ability to bounce back from setbacks. Apply this to testing by continuously iterating and improving your processes, learning from failures to achieve better results.

3. **Empathy and Understanding**: Edwards speaks to the heart of leadership being empathy. Use this to better understand your teams needs and create an environment where innovation can thrive.

4. **Decisiveness**: Make informed decisions promptly. This trait is crucial in maintaining project momentum and tackling challenges head-on.

### Elevate Your API Testing with AI

Imagine bringing these leadership lessons into your API testing—a process crucial for the success of any software. With our RESTful AI tool, breakthrough the traditional barriers of testing and let innovation lead the way:

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### Take Action Today

The journey to excellent leadership doesnt just stop at personal growth; it extends into the tools and processes you employ. Ready to revolutionize your approach to API testing and take a bold step forward in your leadership journey? Visit [blvck.ai](https://blvck.ai) and discover how our RESTful AI tool can transform your testing processes into a seamless, insightful experience. Embrace AI, improve your SDLC, and lead your team into a new era of efficiency and innovation., generate keywords in a string separated by commas only
Your team struggles with varying data visualization skills. How will you ensure project success?
When project success hinges on varied data visualization skills, it's essential to level the playing field. To ensure everyone contributes effectively:

- Establish a baseline training for all team members to ensure core competencies in data visualization.

- Utilize peer-to-peer mentoring, pairing those with advanced skills with those less experienced.

- Choose tools that cater to different skill levels, providing templates and drag-and-drop features for ease of use.

How do you balance skill disparities in your team to achieve project success?
Assistant: 


User: import new component properly in angular
Assistant:
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

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

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

        Message: Yes, with everyone
System: As an API testing assistant, analyze API specifications and previous test results to generate new, unused parameters. Avoid using any parameters from the previous attempts. Return only the parameter dictionary.
User: API Specification:
URL: https://api.shwgij.com/api/news/360_news
Method: GET
Required Parameters: [{'name': 'key', 'type': 'string', 'description': 'api-key', 'default': 'U5IkU9EPBJc7wNWJseJAZNvkX8'}]
Optional Parameters: []
Previous attempts: Initial Attempt 1:
Parameters: {'key': 'U5IkU9EPBJc7wNWJseJAZNvkX8'}
Result: Success
Analysis: Success - parameters worked well

Initial Attempt 2:
Parameters: {'key': 'Q4WxV8ZNKJt5rPFLzX3BMTvYH9'}
Result: Success
Analysis: Success - parameters worked well

Recent Attempt 3:
Parameters: {'key': 'A1B2C3D4E5F6G7H8I9J0K1L2M3N4O5P6'}
Result: Success
Analysis: Success - parameters worked well

Already used parameters: - {'key': 'A1B2C3D4E5F6G7H8I9J0K1L2M3N4O5P6'}
- {'key': 'U5IkU9EPBJc7wNWJseJAZNvkX8'}
- {'key': 'Q4WxV8ZNKJt5rPFLzX3BMTvYH9'}

Rules:
1. If required_parameters is empty and you choose not to use optional parameters, return empty dict.
2. If using optional parameters, only use parameters exactly as defined in optional_parameters.
3. Do not create new parameters that are not in the specification.

Generate valid parameters:
Assistant:
Design a comprehensive resource guide that lists and describes free websites offering full analyses of books, including but not limited to summaries, critiques, discussions on themes and devices, and expert insights. This guide should cater to various needs, including literary analysis, academic research, educational purposes, and community discussions. Ensure the websites listed are reputable, provide high-quality content, and are accessible for free. Consider the comprehensiveness and depth of analyses, the credibility of sources, user experience, and the relevance to different genres and academic fields. The guide should also touch upon the tools and platforms available for analyzing books online, highlighting their educational and research applications. Additionally, include recommendations for online book clubs and communities that foster detailed discussions and analyses of selected books, emphasizing community engagement, diverse perspectives, and the learning experience.
lets do composition in dart without inheritance. we have public api with classes E, U and no more. now there are components Merch with buy(), firstMerch with component Merch with buy() forwarded with some logic, and secondMerch with component Merch  with buy() forwarded but without extra logic. We have composite classes U with component Singlemerch and forwarded buy() with some further logic, class E with component Multimerch and forwarding buy with its own logic. show this in web code block
I sued your code : balance_info = client.balance()

usdt_balance = None

for balance in balance_info:
    if balance['asset'] == 'USDT':
        usdt_balance = balance['balance'] 

def get_quantity(symbol, usdt_balance):
    try:
        mark_price_data = client.ticker_price(symbol=symbol)
        mark_price = float(mark_price_data['price']) if 'price' in mark_price_data else 0.0

        token_price = mark_price
        margin = 50
        quantity = round(float(usdt_balance) * margin / token_price, 2)
        return quantity
    except BinanceAPIException as e:
        print("Error executing long order:")
    return 0

print(get_quantity(symbol, usdt_balance))

while True:
    lookback = 10080
    interval = '1m'
    df = get_klines(symbol, interval, lookback)

    if df is not None:
        signals = signal_generator(df)
        order_quantity = get_quantity(symbol, usdt_balance)
        mark_price_data = client.ticker_price(symbol=symbol)
        mark_price = float(mark_price_data['price']) if 'price' in mark_price_data else 0.0
        print(f"The signal time is: {dt.datetime.now().strftime('%Y-%m-%d %H:%M:%S')} Price: [{mark_price}] - Signals: {signals}")

    try:
        if signals == ['buy']:
            try:
                client.new_order(symbol=symbol, side='BUY', type='MARKET', quantity=order_quantity)
                print("Long order executed!")
            except BinanceAPIException as e:
                print("Error executing long order:")
            time.sleep(1)

        if signals == ['sell']:
            try:
                client.new_order(symbol=symbol, side='SELL', type='MARKET', quantity=order_quantity)
                print("Short order executed!")
            except BinanceAPIException as e:
                print("Error executing short order:")
            time.sleep(1)
    except BinanceAPIException as e:
        print("Error, position already open!")

        time.sleep(1)

    time.sleep(1)


But I getting ERROR: -2019 MARGIN_NOT_SUFFICIEN
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:

مازال مازال ماهم توا لاهين في الباك ما عندهم حتى شي تو
Craft introduction for our script with the following Title: "No, It's Not Photoshop. Pretty Women Blooper No One Noticed!" .Take our current text and change it a little bit: Introduction : Making a film is a complex process that involves months of study planning and execution despite the fact that the director and his staff are very talented they are they are capable of making mistakes thorough study sessions may miss something ruin takes mangled lines and pure Insanity diminish the Brilliance of these great films we chosen the most fascinating ones for you

            Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks. 
            Please provide a detailed response about our topic, but avoid including any general introductions, well-known facts, or background information. Assume the reader already knows what our topic is and focus only on the specific details requested. Avoid repeating phrases such as "He is known for" or "He is famous for." Get straight to the point and start with the key details that come after the general introduction.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. 
            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 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.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
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:
>>>🟥 Senior LLM Machine Learning Scientist | 5 year(s) | Senior
▫️ MULTIVERSE COMPUTING | Quantum Computing
▫️ Spain | San Sebastian

Офис 🏢 | Доступна релокация ✈️
Требуемые языки: 🇬🇧

Skills: aws, docker, git, pandas, python, tensorflow, unit_testing, ml, computer_science, natural_language_processing, artificial_intelligence, data_science/data_engineering
Tags: #red #research_and_development #relocation #ai_ml

👉 Контакты и полное описание<<<

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:
>>>📝 Senior LLM Machine Learning Scientist  
🏢 MULTIVERSE COMPUTING  
📍 Spain  
🔍 Main tasks include working with AWS, Docker, and Python to develop machine learning models, particularly in natural language processing and artificial intelligence.  
💰 Salary details not specified.  
📞 Contact for full description and details.  <<<
Assistant:
Generate 5 friendly replies that sound warm and approachable. Only list your suggestions without any other words. heyyyooo
Explain order to cash process flow in detail.
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: Historically, our board of directors has declared quarterly dividends on our common stock. However, we have no obligation to continue doing so and may change our dividend policy at any time without notice to holders of our common stock. Holders of our common stock are only entitled to receive such cash dividends as our board of directors, in its discretion, may declare out of funds legally available for such payments. Furthermore, consistent with our strategic plans, growth initiatives, capital availability, projected liquidity needs, and other factors, we have made, and will continue to make, capital management decisions and policies that could adversely impact the amount of dividends paid to holders of our common stock. HCC is a separate and distinct legal entity from HBC. We receive substantially all of our revenue from dividends paid to us by HBC, which we use as the principal source of funds to pay our expenses and to pay dividends to our shareholders, if any. Various federal and/or state laws and regulations limit the amount of dividends that HBC may pay us. If the HBC does not receive regulatory approval or does not maintain a level of capital sufficient to permit it to make dividend payments to us while maintaining adequate capital levels, our ability to pay our expenses and our business, financial condition and results of operations could be materially adversely impacted. As a
Assistant:
User: girl 9 orang hangout nonton film kartun
User: girl 9 orang hangout nonton film kartun
Assistant:
Below is a conversation between the user and the assistant. Give a concise name for this chat. Output ONLY the name of the chat (WITHOUT quotes) and NOTHING else.

user: what are you
assistant:
добавь детализацию ошибок при запросе: package com.example.androidgpt;

import android.os.Bundle;
import android.view.View;
import android.widget.Button;
import android.widget.EditText;
import android.widget.TextView;
import androidx.appcompat.app.AppCompatActivity;
import com.android.volley.Request;
import com.android.volley.RequestQueue;
import com.android.volley.Response;
import com.android.volley.VolleyError;
import com.android.volley.toolbox.JsonObjectRequest;
import com.android.volley.toolbox.Volley;
import org.json.JSONException;
import org.json.JSONObject;

public class MainActivity extends AppCompatActivity {

    private EditText userPrompt;
    private TextView responseText;

    @Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.activity_main);

        userPrompt = findViewById(R.id.userPrompt);
        Button sendButton = findViewById(R.id.sendButton);
        responseText = findViewById(R.id.responseText);

        sendButton.setOnClickListener(new View.OnClickListener() {
            @Override
            public void onClick(View v) {
                try {
                    sendPrompt(userPrompt.getText().toString());
                } catch (JSONException e) {
                    e.printStackTrace();
                }
            }
        });
    }

    private void sendPrompt(String prompt) throws JSONException {
        String url = "https://api.example.com/yuntian-deng/ChatGPT4/predict"; // Замените на фактический API endpoint

        RequestQueue queue = Volley.newRequestQueue(this);

        JSONObject jsonRequest = new JSONObject();
        jsonRequest.put("inputs", prompt);
        jsonRequest.put("top_p", 1);
        jsonRequest.put("temperature", 1);
        jsonRequest.put("chat_counter", 0);
        jsonRequest.put("chatbot", new JSONObject());

        JsonObjectRequest jsonObjectRequest = new JsonObjectRequest
                (Request.Method.POST, url, jsonRequest, new Response.Listener<JSONObject>() {

                    @Override
                    public void onResponse(JSONObject response) {
                        try {
                            responseText.setText(response.getString("0")); // Обработка возвращаемого значения
                        } catch (JSONException e) {
                            e.printStackTrace();
                        }
                    }
                }, new Response.ErrorListener() {

                    @Override
                    public void onErrorResponse(VolleyError error) {
                        responseText.setText("Ошибка при запросе");
                    }
                });

        queue.add(jsonObjectRequest);
    }
}
1. do random ascii art within specific strict constraints.
2. go tell your NN that you are a text-to-image generating ascii art but here in text format.
3. try fix your dimension through your neural net text-to-image ascii processor to: 16x16 pixels in output.
4. utilize ▮ block as a white canvas.
5. utilize ▯ block as actual paint block on white canvas consisting from white blocks.

simply imagine that each block is a basic pixel.
utilize these blocks, because outputting frontend auto-removing all unnecessary whitespaces.