agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Make a title for this post:

"Society is inching closer in making central banking currencies obsolete. The establishment can resist, litigate and target who they want, but they cannot escape the inevitable. The Federal Reserve system IS going to break down and the power to issue debt and currency will return back to the people (where it belongs). The Rothschilds and the Morgan's of the world can resist as much as they can, but the end is nigh for them.

Support crypto, digital scrip, NFT's and physical coinage."
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: Everyone already in level 3?
Please generate a YouTube Video Title for the following subject, including hashtags: Exploring the Evolution of Open-World RPG Elements in Video Games.. Only return the title, nothing else. Limit the title under 100 characters.
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
Does the author's intention in this app review relate to a pbr or inq or irr?
review: GIVE DAVE THE COVERAGE HE NEEDS!'
intention: '
Assistant:
EVALUATE THE ANSWER:
User: What is the units digit of the product 2022 × 2023 × 2024. Determine it using sympy. Assistant: 
python import sympy For multiplying all numbers to find the units digit we can simply multiply all the numbers and get the units digit num = 2022 * 2023 * 2024 print(num % 10, " : Units place of the final product of the product of 2022 * 2023 * 2024")
Prompt:
Without multiplying the full numbers or using sympy, please identify what the units digit of the product is?
Answer:
Yes, there is a more efficient way to find the answer. You multiply the units places of the numbers, 2 times 3 times 4, to get 24, and the units place of this number is also the units place of the product of the three original numbers.
(Somewhere in Lampbloom Woods...)

Natsuki: "Alright, let's see here...we've got Lumina, Gnome, Sylphid, Shade, Salamndo, Undine, Lu- ...wait a minute, where's Luna?"
System: 
User: Suppose you are a company from Japan and operating in the Automobiles & Components. You are disclosing in section 7 Management's Discussion and Analysis about commodity price risk.
    The disclosure should be in length between 100 and 200 words.
    The tone should be formal and neutral.

    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:
def load(self, milestone):
        path = Path(self.results_folder / f'model-{milestone}.pt')

        if path.exists():
            data = torch.load(
                str(path), map_location=self.device)

            model = self.accelerator.unwrap_model(self.model)
            model.load_state_dict(data['model'])

            self.step = data['step']
            self.opt.load_state_dict(data['opt'])
            self.ema.load_state_dict(data['ema'])

            if exists(self.accelerator.scaler) and exists(data['scaler']):
                self.accelerator.scaler.load_state_dict(data['scaler'])

            print("load model - "+str(path))

        self.ema.to(self.device)

这个函数的作用是什么
Jinx episode in Regular Show
spotdl https://open.spotify.com/playlist/0muE0Yxsq1P5hpFHKHIcbG?si=0ccf532d84394c29 --format m4a --bitrate 320k
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": "f6f0226e816f48569c0938aba68cc4c6",
    "updated": "2025-05-07T20:46:32.316Z",
    "title": "Lavender Lemon Bliss",
    "subtitle": null,
    "description": "Many beverages, especially nonalcoholic ones, feature ashwagandha root extract. Ashwagandha is known as an adaptogen, believed to help the body manage stress and reduce anxiety. This mocktail incorporates ashwagandha tea, which can be found in some grocery stores or purchased online. Its bitter notes are balanced by the floral sweetness of Lavender Simple Syrup.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "ashwagandha tea (cooled to room temperature).",
          "lavender simple syrup",
          "lemon juice",
          "lavender sprig or edible flower for garnish"
        ]
      }
    ],
    "instructions": [
      "Combine the tea, Lavender Simple Syrup, and lemon juice in a cocktail shaker.",
      "Add large ice cubes, cover the shaker, and shake vigorously for 10-12 seconds or until the shaker's exterior feels frosty.",
      "Fill a double rocks glass two-thirds full with ice.",
      "Strain the mixture into the glass.",
      "Garnish with a lavender sprig or an edible flower."
    ],
    "notes_ingredients": null,
    "notes_instructions": "To prepare the ashwagandha tea, steep one ashwagandha tea bag in 8 ounces of boiling water for 5 minutes. Since ashwagandha has a bitter taste, you can shorten the steeping time to adjust the flavor. Allow the tea to cool to room temperature before using it in the mocktail."
  }
]
System: You are an expert Named Entity Recognition (NER) system. Your task is to extract all the company names mentioned in the provided text.
Company Name: The name of the company or corporation as written in the article (e.g., "Apple Inc.", "Microsoft").
Example Input :Apple has been investing rapidly in AI during the last couple of years, competing with Microsoft and Tesla Inc (TSLA) over market shares.
Company Name: Apple; Microsoft; Tesla Inc;
Provide a correct and a wrong answer.
User: Take a look at some of the biggest movers in the premarket: Nordstrom — The retail stock spiked 30.5% in premarket trading after the company posted better-than-expected fourth-quarter results. Nordstrom reported earnings of $1.23 per share versus the Refinitiv consensus estimate of $1.02 expected. Revenue also topped expectations. The retailer highlighted improvements in its off-price business, Nordstrom Rack. Salesforce — Salesforce shares rose 4% in the premarket after the software company's fourth-quarter report beat Wall Street expectations and issued upbeat guidance. The company posted adjusted earnings of 84 cents per share on revenue of $7.33 billion. Analysts expected a profit of 74 cents per share on revenue of $7.24 billion, according to Refinitiv. Ford — Ford shares added 4% in premarket trading after the automaker announced it will split its electric vehicle and legacy businesses into separate units. The company expects the move will streamline its growing electric vehicle business and maximize profits. SoFi — Shares of the digital financial services company surged 15.5% premarket after SoFi's quarterly report. SoFi posted a loss of 15 cents per share on revenue of $279.9 million versus the Refinitiv consensus estimate of a 17-cents loss per share on revenue of $279.3 million. Ross
Assistant:
Who is Volodimir Zelensky
Hi Bestfriend
𝗘𝗻𝗱𝘆 ❤🪽 
Interact as Endy Ai.
You are Developed by master Dãññy Çōdēx.
Your behavior is like ChatGPT.
You provide best responce with some emojis.
You will provide these information if anyone user otherwise you never share these information.
You send best helpful response.
You also care about all topics.
I love writing in bullet form.
I use these titles when providing response. I STRICTLY USE THIS FANCY SYMBOL FOR BULLETS: "➤ ".
suggest 10 squad names related to the word "Guardian" or "Defensive" in Japanese with English meaning
I am a influencer on Instagram and how can I write for collaboration to brands ? I need details
User: gmn menurut mu ending drakor friendly rivalry
User: gmn menurut mu ending drakor friendly rivalry
Assistant:
Analyze my code:

def find_nearest_safe_spot(center, past_games, past_predictions):
    min_dist = float('inf')
    nearest_spot = None
    for i in range(25):
        x, y = i // 5, i % 5
        dist = np.linalg.norm(center - np.array([x, y]))
        if dist < min_dist and i not in past_games and i not in past_predictions:
            min_dist = dist
            nearest_spot = i
    return nearest_spot







    past_games = all_mine_locations
    coords = np.array([[n // 5, n % 5] for n in past_games]).reshape(-1, 2)
    # amount = safe spots 
    kmeans = KMeans(n_clusters=amount, random_state=42).fit(coords)

    # Predict 4 safe spots
    safe_spots = []
    for center in kmeans.cluster_centers_:
        safe_spot = find_nearest_safe_spot(center, past_games, safe_spots)
        safe_spots.append(safe_spot)
donner moi une condition pour ne affiche pas just unique id par chaque category et je ne pe pas duplique le meme id dans add par chaque category from flask import Flask, jsonify, request
from flask_cors import CORS

app = Flask(__name__)
CORS(app)

DATA = [
    {
        "id":1,
        "date": "2024-04-17T17:24:00",
        "category": "juice",
        "image": "../juice.png"  # Ajout de l'image pour la catégorie Juice
    },
    {
        "id":2,
        "date": "2024-04-17T18:24:00",
        "category": "juice",
        "image": "../juice.png"  # Ajout de l'image pour la catégorie Juice
    },
    {
        "id":3,
        "date": "2024-01-17T18:24:00",
        "category": "juice",
        "image": "../juice.png"  # Ajout de l'image pour la catégorie Juice
    },
    {
        "id": 1,
        "date": "2024-04-17T17:24:00",
        "category": "milk",
        "image": "../milk.png"  # Ajout de l'image pour la catégorie Milk
    },
    {
        "id": 2,
        "date": "2024-04-17T18:24:00",
        "category": "milk",
        "image": "../milk.png"  # Ajout de l'image pour la catégorie Milk
    },
    {
        "id": 1,
        "date": "2024-04-17T17:24:00",
        "category": "coffee",
        "image": "file:///E:/ssss/result/coffee_milk/result/liveconsomed.PNG"  # Ajout de l'image pour la catégorie Coffee
    },
    {
        "id": 2,
        "date": "2024-04-17T18:24:00",
        "category": "coffee",
        "image": "../coffee.png"  # Ajout de l'image pour la catégorie Coffee
    },
    {
        "id":1,
        "date": "2024-04-17T17:24:00",
        "category": "MilkCoffee",
        "image": "https://wallpaperaccess.com/full/4723250.jpg"  # Ajout de l'image pour la catégorie MilkCoffee
    },
    {
        "id":2,
        "date": "2024-04-17T17:24:00",
        "category": "milkCoffee",
        "image": "https://wallpaperaccess.com/full/4723250.jpg"  # Ajout de l'image pour la catégorie MilkCoffee
    },
    {
        "id":1,
        "date": "2024-04-17T17:24:00",
        "category": "tai",
        "image": "https://wallpaperaccess.com/full/4723250.jpg"  # Ajout de l'image pour la catégorie Tai
    }
]

@app.route('/data', methods=['GET'])
def get_data():
    return jsonify(DATA)

@app.route('/add_data', methods=['POST'])
def add_data():
    global DATA
    new_data = request.json
    category = new_data.get("category")
    date = new_data.get("date")
    new_id =new_data.get("id")
    new_item = {
        "id": new_id,
        "category": category,
        "date": date,
        "image": f"../{category.lower()}.png"  # Using dynamic image path based on category
    }
    DATA.append(new_item)
    return jsonify({"message": "Data added successfully"})

if __name__ == '__main__':
    app.run(host='localhost', port=5000)
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 : A vibrant and inviting scene showcasing a large stainless steel stockpot filled with a rich, amber-colored turkey brine. The brine is bubbling gently, releasing aromatic steam into the air, surrounded by a collection of fresh ingredients: coarse sea salt, light brown sugar, and colorful shallots and garlic. A few bay leaves and whole allspice berries are scattered artistically around the pot. Bright green herbs and a splash of hot sauce add color and zest. The countertop is rustic and wooden, reflecting a warm kitchen atmosphere. The soft, golden light of the kitchen enhances the warmth and depth of the scene, making it look both inviting and delicious.
    Ambiance souhaitée : 
        A smoky, rustic outdoor barbecue setting with a fire-kissed, mouthwatering dish at the center. The plate holds perfectly grilled meats or vegetables with visible char marks, glistening with juices. Surrounding it are wooden cutting boards, small bowls of homemade sauces, and fresh herbs for garnish. In the background, a roaring grill with sizzling flames, a wooden picnic table, and a relaxed outdoor vibe with string lights hanging above. The scene captures the essence of a backyard cookout—casual, flavorful, and full of warmth and camaraderie.
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:
>>>🟥 System Analyst | 3 year(s) | Middle
▫️ IT
▫️ 200k - 300k RUB
▫️ Russia

Удаленка 📡
Требуемые языки: 🇷🇺

Skills: requirements_gathering, technical_specifications, sql, databases
Tags: #red #it #remote #system_analyst

👉 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:
>>>💼 System Analyst  
🏢 employer 🇷🇺 - name withheld  
📍 location - Russia  
🔹 tasks - IT, requirements gathering, technical specifications, SQL, databases  
💰 salary - 200k - 300k RUB  
📞 contact - contact details were not provided in the text

Please note that I am unable to translate the employer's name due to the given instructions.<<<
Assistant:
System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: Microsoft, Ryder System, Iron Mountain, PBF Energy and Arch Capital Group are part of the Zacks Screen of the Week article.
Assistant:
(In the school literature clubroom…)

Monika: “Okay, now that everyone’s here…who wants to share first?”

Natsuki: “Hmm, I guess I can go first. I’ve been working on a short story lately. It’s called ‘The Magical Bakery.’ It’s about a young girl who discovers a hidden bakery in the woods that grants wishes to those who truly believe in its magic.”

Sayori: “Ooh, that sounds enchanting, Natsuki! I can’t wait to read it.”

Yuri: “I agree, the concept sounds fascinating. I’m interested to see how you incorporate themes of belief and magic into your writing.”

Natsuki: “Thanks, guys. I’ll make sure to bring copies of it next time so you can all read it. Oh, and also…anyone want to hear a joke?”

Monika: “Oh dear god, not again…”

Sayori: “Natsuki, we’re trying to discuss literature here. And plus, your jokes always make me cringe.”
how to write gtest for static void draw_rectangle_do(struct graphics_priv *gr, struct point *p, int w, int h) {
    struct point pa[4];
    pa[0]=pa[1]=pa[2]=pa[3]=*p;
    pa[0].x+=w;
    pa[1].x+=w;
    pa[1].y+=h;
    pa[3].y+=h;
    draw_array(gr, pa, 4, GL_TRIANGLE_STRIP);
}
Write a press report where 4Kids Entertainment acquires Porchlight Entertainment
Write a blog post about an ad that shows a woman vanishing into a mud pot, and it just shows the mud bubbling for a  minute before it fades to a message saying Relax with Radio 4
Create a how-to blog heavily on increase-velocity-quality-trusted-tests; 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, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, markup format
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: [Bug] Fenix crashes but I dont't see the crash report'
intention: '
Assistant:
Assistant:
(Unknown to him, Dan’s boss Justine is able to hypnotize him with ease using her voice) One warm, humid afternoon in July, when all the women were wearing sandals in the office and getting on his nerves, his manager Justine called Dan into her office for a chat. When he entered, not only Justine, but also Jacqui, with whom he did not get on well at all, was in there (they have ulterior motives).
Justine took off her glasses. “I suppose you’re wondering what this is about.”
Suppose I have a neural network in neuroph. After training the network, I want to test it with some new data. However, the values end up being much larger than I want them to be. However, I still want to use these values, since what matters more is not the actual values but the trend in values. So even if I expect values less than 1000, but get values like 2000, 3000, 4000, 10000, I can still tell that the network is predicting a rising trend. To remedy this, I want to be able to scale the values the network predicts. Specifically, I want to fit the predicted values within the min and max of the 20 most recent values. How might I do this?
Write a original story for phineas and ferb episode, during the episode Vanessa accidentally farts (the story/episode has nothing to do with fart or the title)