agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: 
User: Suppose you are a company from France and operating in the Transportation. You are disclosing in section 7 Management's Discussion and Analysis about hedge and derivatives risk.
    The disclosure should be in length between 100 and 200 words.
    The tone should be formal and optimistic.

    Here is an example:
    We may be impacted by natural disasters, wars, health epidemics or pandemics or other events outside of our control. For example, Mountain Pass is located in San Bernardino County, California near active faults, which could lead to nearby earthquakes. If major disasters such as earthquakes, wild fires, health epidemics or pandemics, floods or other events occur, or our information system or communications network breaks down or operates improperly, our ability to continue operations at Mountain Pass may be seriously damaged, or we may have to stop or delay production and shipment of our products. We may incur expenses or delays relating to such events outside of our control, which could have a material adverse impact on our business, operating results and financial condition.
Assistant:
Comment on the effectivity of this scene : Ah Ryan, you’re handsome sure, from the collarbones up. But all a woman needs to do is-“ Ryan snatched up a fistful of peanuts, tossing one into his mouth and assailing another at Liam’s unkempt hair. “You just drink the alcohol I shouted you, alright.” Liam’s smirk enlivened his features with electricity as the nut embedded itself in his gritty strands.

“Oh, I’ll enjoy every drop, but seriously, three o’clock …has her eyes all over you. You’re already naked, I’d say.“ As Ryan’s head turned with wry curiosity, Liam emptied his glass, swilling the final mouthful as amusement danced across his face. Ryan cursed under his breath, winking into the sea of bodies and forgetting Liam’s existence as he rose from his stool. “Finish my Hennessy Li’…” he trailed off as he disappeared under the dim filter of light, abandoning the counter with entrancement.

“Yeah, you won’t be back,“ Liam muttered, tracing the rim of his glass in a dwindling circle. “Somebody’s all on his lonesome over here, talking to himself?” As the female voice wove through his moment of bored introspection, her eyes caught him off guard. “I was not talking to myself,“ he replied with a grin. “I was talking to you too-“

Her pale green irises held his blue gaze with a hint of unmatched mischief as she slid onto Ryan’s empty stool. “And he thinks he’s funny, huh?“. Liam’s broad grin, lopsided and drunken, propped up a dimple on his right cheek as he asked  “Well he made you laugh didn’t he?“.

She was already reaching out and rearranging his grime-infused hair as her laughter interspersed the closing space between them. “Maybe he did, but can he talk me out of leaving here with my friends…he has twenty seconds by the way.“ Leaning into her touch as her fingers moved to the tender spot between his earlobe and hairline, he rasped. “Oh twenty seconds is more than enough I’d say. Gimme ten My friend abandoned his drink and now, wouldn’t it be irresponsible to leave it for me to finish? “ . She laughed, eyeing the drink and weighing his proposition with a pause as her hand retreated back to the countertop, and he caught her wrist in his palm. With a gesture toward the drink , he enveloped her grasp in his own. “Or , I could leave that here and he can find his own way home tonight. All on his own without his designated driver, now that really would be wicked huh?.” Liam raised his eyebrows in mock sobriety , and she smiled , starting to stand, sliding Ryan’s drink towards him.  “Well …it’s been at least twenty seconds , but will I leave?” . Her eyes challenged him with a razor sharp gleam her dark cascading over her shoulder blades as she turned to leave. “Oh, you dropped this” Liam said as her wrist slipped from his hand and he gazed at the floor, noticing a cylinder at his feet. She slid off into the crowd, leaving a bewildered Liam to retrieve the tube and rotate it between his knuckles. “Your lipstick…damn never mind.” He muttered, uncapping it in absent minded confusion, until a slip of paper fell out into his lap.
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: I don accept you
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:

يا رسول الله يا رسول الله
Can you give me a 600-word essay about rain?
Explain the following text.



127389
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: From time to time, emerging market countries such as those in which we operate adopt measures to restrict the availability of the local currency or the repatriation of capital across borders. These measures are imposed by governments or central banks, in some cases during times of economic instability, to prevent the removal of capital or the sudden devaluation of local currencies or to maintain in-country foreign currency reserves. In addition, many emerging markets countries require consents or reporting processes before local currency earnings can be converted into U.S. dollars or other currencies and/or such earnings can be repatriated or otherwise transferred outside of the operating jurisdiction. These measures may have a number of negative effects on us, including the reduction of the immediately available capital that we could otherwise deploy for investment opportunities or the payment of expenses. In addition, measures that restrict the availability of the local currency or impose a requirement to operate in the local currency may create other practical difficulties for us.
Assistant:
what is the vs imposter fnf mod
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:

الماركة الباهية والسلعة الباهية فهمت آش نقصد
Respond to this message in the appropriate language: what's carding.

Remember that you have access to the Google search engine and the ability to explore the internet. It's crucial that you generate your responses based on the information you find through these searches. It's important to note that sometimes the information obtained may not be complete; therefore, it's advisable that you try to complement and improve those parts that may have gaps or deficiencies:
Feather Friends, Incorporated, distributes a high-quality wooden birdhouse that sells for $80 per unit. Variable expenses are $40.00 per unit, and fixed expenses total $180,000 per year. Its operating results for last year were as follows:
 
Sales	$ 2,000,000
Variable expenses	1,000,000
Contribution margin	1,000,000
Fixed expenses	180,000
Net operating income	$ 820,000
 5. The sales manager is convinced that a 11% reduction in the selling price, combined with a $64,000 increase in advertising, would increase this year's unit sales by 25%.
a. If the sales manager is right, what would be this year's net operating income if his ideas are implemented?
b. If the sales manager's ideas are implemented, how much will net operating income increase or decrease over last year?
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
[Toonworld4all] Aoashi S01E15 480p HS WEB-DL Dual Audio ESub.mkv
I used this code: 
def signal_generator(df):
    if df is None or len(df) < 2:
        return ''
    
    signal = []
    final_signal = []
    exit_final_signal = []

    # Retrieve depth data
    th = 0.35
    depth_data = client.depth(symbol=symbol)
    bid_depth = depth_data['bids']
    ask_depth = depth_data['asks']
    buy_price = float(bid_depth[0][0]) if bid_depth else 0.0
    sell_price = float(ask_depth[0][0]) if ask_depth else 0.0
    mark_price_data = client.ticker_price(symbol=symbol)
    mark_price = float(mark_price_data['price']) if 'price' in mark_price_data else 0.0
    mark_price_data_change = client.ticker_24hr_price_change(symbol=symbol)
    mark_price_percent = float(mark_price_data_change['priceChangePercent']) if 'priceChangePercent' in mark_price_data_change else 0.0

    buy_qty = float(bid_depth[0][1]) if bid_depth else 0.0
    sell_qty = float(ask_depth[0][1]) if ask_depth else 0.0

    # Calculate the threshold for order price deviation
    if mark_price_percent > 2:
        pth = 7 / 100
    elif mark_price_percent < -2:
        pth = 7 / 100
    else:
        pth = 7 / 100

    executed_orders_buy = 0.0

    for order in bid_depth:
        if float(order[0]) == mark_price:
            executed_orders_buy += float(order[1])
        else:
            break

    buy_qty = float(bid_depth[0][1]) if bid_depth else 0.0
    buy_result = buy_qty - executed_orders_buy

    executed_orders_sell = 0.0

    for order in ask_depth:
        if float(order[0]) == mark_price:
            executed_orders_sell += float(order[1])
        else:
            break

    sell_qty = float(ask_depth[0][1]) if ask_depth else 0.0
    sell_result = sell_qty - executed_orders_sell

    if final_signal == ['buy']:
        active_signal = 'buy'
    elif final_signal == ['sell']:
        active_signal = 'sell'
    else:
        active_signal = None

    if (sell_result > (1 + th) > float(buy_qty)) and (sell_price < mark_price - (pth + 0.08)):
        signal.append('sell')
    elif (buy_result > (1 + th) > float(sell_qty)) and (buy_price > mark_price + (pth + 0.08)):
        signal.append('buy')
    else:
        signal.append('')

    if signal == ['buy'] and not ((buy_result < sell_qty) and (buy_price < mark_price)):
        final_signal.append('buy')
    elif signal == ['sell'] and not ((sell_result < buy_qty) and (sell_price > mark_price)):
        final_signal.append('sell')
    else:
        final_signal.append('')

    if active_signal == 'buy' and ((buy_result < sell_qty) and (buy_price < mark_price)):
        exit_final_signal.append('buy_exit')
    elif active_signal == 'sell' and ((sell_result < buy_qty) and (sell_price > mark_price)):
        exit_final_signal.append('sell_exit')
    else:
        exit_final_signal.append('')

    return final_signal , exit_final_signal
    

Tell me shortly will it retrun me final_signal and exit_final_signal dont count problem of data input
User: gaji pornstar
User: gaji pornstar
Assistant:
write me the best  instagram caption  for smores skillet
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: @realmarkptyltd Everyone is laughing at you. Just so you know 
Select your answer from the options. What is the sentiment of this tweet?
Options:
 A). negative;
 B). positive;...I think the answer is
Answer: A). negative

Step 1: Understand the message
I will start by analyzing the content of the tweet, which states that everyone is laughing at the subject and informs them of this fact.

Step 2: Identify the tone and implications
The tone of the message appears to be mocking or derogatory, and the subject is being embarrassed or insulted by others. This suggests a negative sentiment.

Step 3: Compare options
Now, I will compare the given options A) negative and B) positive. The message's tone and implications align with the negative sentiment, while a positive sentiment would imply happiness or a supportive tone.

Step 4: Make the final decision
Based on the analysis, I believe the sentiment of this tweet is negative (option A).
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": "e6748c1590ae4a7c9090d159eab8ee1a",
    "updated": "2025-05-17T05:09:29.512Z",
    "title": "Akara",
    "subtitle": "Fried fritters made from a lightly spiced blend of beans and peppers.",
    "description": "Akara is a beloved dish in Nigeria and throughout West Africa, and it has also become popular in Brazil, where it is called Acaraje. It can be enjoyed as a snack on its own or served for breakfast and lunch alongside porridges, bread, and other dishes. Ready-peeled beans are now available in some places, which can save you considerable time in preparation.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "honey beans or black-eyed beans (soaked overnight and drained).",
          "onion (roughly chopped).",
          "red bell pepper .",
          "scotch bonnet chilli",
          "water",
          "salt to taste",
          "sunflower oil"
        ]
      }
    ],
    "instructions": [
      "Peel the beans by your preferred method. If using ready-peeled beans, proceed to the next step.",
      "Combine the peeled beans, onion, peppers, and water in a food processor and blend until you achieve a smooth, thick batter.",
      "Use minimal water, as the batter for akara should be thick enough to scoop, unlike moin moin.",
      "Whisk the batter by hand or with an electric whisk for 2-3 minutes to incorporate air, making it light and fluffy.",
      "Transfer the mixture into a large bowl and season with salt to taste.",
      "Heat enough oil in a deep, non-stick pot or pan for deep-frying.",
      "Spoon the batter into the hot oil in heaping tablespoons, taking care not to overcrowd the pan.",
      "Fry the fritters until they are golden brown on all sides, then use a slotted spoon to remove them and place them on a plate or tray lined with kitchen paper to drain excess oil.",
      "Serve the akara warm or cold, either on its own or accompanied by Ogi/Pap, custard, or porridge for breakfast."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Formulate an answer to this elaborate question: The Players' Tribune was founded by the player who is now part owner of what other MLB team?
The answer to this question is:
Answer: The Players' Tribune was founded by Derek Jeter, who is now part owner of the Miami Marlins MLB team.
You have a new contract: conceptualize, design, and create a lightweight JavaScript UI engine that efficiently manages components, data structures, and state. Use only pure low-level JavaScript, Web Components, and modern Web APIs the highest performance.

Introduction to Cat.js blueprint.
Our engine, named by the name of the animal for its known lightness, flexibility and accuracy, looks to outperform current solutions, like Svelte.

Unlike React, Svelte, Angular, and similar frameworks, our engine operates in a vanilla environment without the need for bundles, polyfills, or Webpack. It avoids inefficient practices associated with virtual DOMs, as well as unnecessary reflows and repaints, such as rebuilding or re-rendering an entire component just to update a single element.

Our engine needs to be lightweight, user-friendly, and highly optimized, leveraging raw, low-level JavaScript knowledge tailored to modern browser runtimes. It is designed specifically for creating robust and efficient user interfaces for Tauri-based applications, without the need for bundlers.

Our primary reference it's Svelte, I like how they manage the concept of "Reactivity". But, our engine instead of Svelte, which is a framework, it's going to specialize and focus only on UI, components and data management.

---

Technical expectative: 

- Pure raw JavaScript for the motor of the engine.
- An architecture thought carefully to fit the browser JS runtime.
- SOTA Memory usage.
- Ease to use API and Syntax
- SOTA Reactive engine.
- Design a new ease way to import components into the DOM.
- Our importing logic must compile and inject the code into our DOM before loads.

Avoid:
- Think as "Reactivity" in the way React does it.
- No Rendering methods or state management for rebuild and repaint component.

Syntax expectative:

``` note.html
<template name="cat-note" id="Note">

    <div>

      <textarea @input="update" id="content">{content}</textarea>

    </div>

</template>

<script>

let serial = 00832;
let content = serial + text;

update(newText) {

	text = newText;

}

</script>
```

``` index.html

<!DOCTYPE html>

<html lang="en">

<head>

  <meta charset="UTF-8">

  <meta name="viewport" content="width=device-width, initial-scale=1.0">

  <title>CAT Demo</title>

  <script src="/app/cat.js"></script>
  <script>

	const note = load('app/note.html');

  </script>

</head>

<body>

    <cat-note></cat-note>

</body>

</html>

```


The code above it's a matter of desired reference, a vision I'd like to try to achieve, but as the expert and on charge of the development of this engine, you must base your decisions and actions on factual data about our context, environment and desired performance and simplicity goals.

Invest all the time needed thinking and designing such engine, and output an initial version, functional and robust.
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:

أربعة آلاف و ميّة و خمسين
System: 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==

User: 🟥 Senior Backend Developer | Senior
▫️ Psy Labs
▫️ 3000 - 4500 USD

Удаленка 📡
Требуемые языки: 🇷🇺 🇬🇧

Skills: postgresql, fastify, node_js, gcp
Tags: #red #it #remote #nodejs

👉 Контакты и полное описание
Assistant:
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: 'Ive had Chrome for about a week now and was excited about it But everyday it crashes at least once a day Sorry but going back to Safari'
intention: bug report
review: 'i love it and so does my daughter just want more easier ways for fish bucks'
intention: feature request
review: 'Went to get my car refinanced and I went into shock The bank enlighten me that Credit Karma is 70 points higher All I can say is google Credit Karma and see the negative reports'
intention: other
User: 'Does the author's intention in this app review relate to a bug report or feature request or other?
review: 'Simply a great app Well done''
intention: '
Assistant: