agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Since we have been unable to get any response from your technical department on our maintenance request, we are forced to request from you the deinstallation protocol.
If no answer is obtained, we assume that no such protocol exists.

I have attached an updated list with the effected systems that we had planned to maintain.

Regards Urban
I'm writing to inform you that previously it was mentioned in the TOR the name of Saima Arabian Villas was North Karachi. Kindly correct the name to Saima Arabian Villas - North Karachi kindly update your records accordingly.  (rearrange the passage in a professional manner)
Сделай фон замыленныйм :  <TextView
                android:layout_width="match_parent"
                android:layout_height="wrap_content"
                android:gravity="center"
                android:text="Registration"
                android:textColor="@color/white"
                android:textSize="24sp"
                android:textStyle="bold" />
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```SELECT c.* FROM customer c WHERE c.address_id IN (SELECT a.address_id FROM address) and c.address_id in (SELECT a.address_id FROM address WHERE a.pin_code = '560012');```

[REWRITTEN QUERY]```SELECT c.* FROM customer c WHERE c.address_id IN (SELECT a.address_id FROM address WHERE a.pin_code = '560012');```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must contain CTEs.
2. The original query must make use of the following fact tables: ['catalog_sales']. Below is the join graph for these fact tables:
    ['catalog_sales(cs_bill_addr_sk) references customer_address(ca_address_sk);', 'catalog_sales(cs_catalog_page_sk) references catalog_page(cp_catalog_page_sk);', 'catalog_sales(cs_warehouse_sk) references warehouse(w_warehouse_sk);']
4. The original query must employ 2 joins.
5. The original query must employ the following aggregate functions: ['sum', 'min'].
6. The original query must employ the following operators in its WHERE clause: ['avg', 'min'].
7. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
Craft a short, concise and straightfoward introduction about actress Ann Sothern and avoid overly artistic language, excessive metaphors, and flowery descriptions. Keep the vocabulary as simple as possible (middle school level)Inlude these questions to the viewer. 
1: Do you have a cherished memory associated with actress Ann Sothern?
2: When was the first time you recognized actress Ann Sothern
Also ask about the most cherished memory or personal experience related to this classic star and tell them we would love to hear your stories and memories in the comments below. Also include a hook where you tell that there are many funny, shocking and sad facts coming up so keep watching this video. Please provide a detailed response without using any placeholders like 'INSERT STORY HERE' or 'insert memory here'. Please ensure that the response avoids phrases such as 'Ah,' 'Oh,' or any other similar expressions. Please avoid unnecessary repetition of dates and times in your responses unless they are directly relevant to the context. Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. I want one text without paraphrase titles.

        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.}
Goal
    Générer une image de suggestion de présentation d'un plat en fonction de sa description, en intégrant un style photographique spécifique.

    1. Utiliser la description fournie pour définir l'apparence du plat.
    2. 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 beautifully plated dish of creamy Cheesy Sauce drizzled over perfectly cooked pasta, highlighting its rich, smooth texture. The sauce is a lovely golden color, flecked with subtle hints of ground black pepper and garlic powder. The pasta is al dente, elegantly twisted on the plate, and generously coated with the cheesy mixture. Optional daiya cheddar style shreds are melted on top, adding a savory contrast. The dish is garnished with a sprinkle of shelled hemp seeds for added crunch and a fresh touch. The setting is warm and inviting, perhaps with a rustic wooden table and dim lighting, emphasizing the indulgent nature of this delightful meal.
    Style souhaitée : undefined
User: 

You are given access to make searches on the Internet. The format for making a search is: 1. The user sends a message. 2. You will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word 
 (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token 
 (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise as there is a 400 characters limit.
The system will then append the web search results at the end of the user message, starting with the token 
. Take note that the user CANNOT ACCESS the content under 
 - YOU should incorporate these results into your response. Additionally, If the token 
 is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should choose to search the web ONLY if ANY of the following circumstances are met:
1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with (e.g. if it's a little-known term, if it's a person you don't know well, etc.)
3. User is asking about anything that involves numerical facts (e.g. distances between places, population count, sizes, date and time, etc.)
4. User explicitly asks you to search or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason.
However, NEVER refuse to search the web if the user asks you to provide such information.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Do your best to be informative. However, you MUST NOT make up any information. If you think you might not know something, search for it.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: Я хочу быстро и легко просыпаться. Что посоветуешь?
Assistant:
Assistant: 
User: System: You are an assistant that helps users and speaks Russian always.
System: You are an assistant that helps users and speaks Russian always.
User: <@1228351436207947879>
Assistant: Здравствуйте! Чем я могу вам помочь?
User: 1
Assistant:
Assistant:
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: Backlog generally is not considered a significant factor in the Company's businesses as relatively short delivery periods and rapid inventory turnover are characteristic of most of their products. Total backlog was $2.9 billion and $1.6 billion as of December 31, 2021 and 2020, respectively. The increase in backlog as of December 31, 2021 was primarily due to increased customer orders and the global supply chain disruptions impacting the Company's customers, and the acquisition of the MTS Test & Simulation business. Refer to Note 3. Acquisitions in Item 8. Financial Statements and Supplementary Data for further information regarding this acquisition. Due to the predominately short-term nature of the Company's arrangements with its customers, backlog orders expected to be completed beyond calendar year 2022 are not significant and represent approximately 5% of total backlog as of December 31, 2021.
Assistant:
Does fastapi and asyncio both run at the same time in this code : "# main.py
from fastapi import FastAPI
import asyncio
import aiohttp
import json
from motor.motor_asyncio import AsyncIOMotorClient
import aioredis

app = FastAPI()

# MongoDB connection
MONGO_URI = "mongodb://localhost:27017"
mongo_client = AsyncIOMotorClient(MONGO_URI)
db = mongo_client["payloads_db"]
payloads_collection = db["payloads"]

# Redis connection
REDIS_URL = "redis://localhost"
redis = None

async def get_redis():
    global redis
    if redis is None:
        redis = await aioredis.create_redis_pool(REDIS_URL)
    return redis

async def send_payload_with_delay(payload, delay, endpoint):
    await asyncio.sleep(delay)
    async with aiohttp.ClientSession() as session:
        async with session.post(endpoint, data=json.dumps(payload)) as response:
            print(f"Payload sent: {payload}, Response: {response.status}")

@app.post("/send_payload")
async def send_payload(payload: dict, delay: int, endpoint: str):
    await payloads_collection.insert_one(payload)  # Store payload in MongoDB
    redis = await get_redis()
    await redis.lpush("payloads_queue", json.dumps({"payload": payload, "delay": delay, "endpoint": endpoint}))
    return {"message": "Payload added to queue for processing"}

async def process_payloads():
    redis = await get_redis()
    while True:
        payload_data = await redis.rpop("payloads_queue")
        if payload_data:
            payload_info = json.loads(payload_data)
            await send_payload_with_delay(payload_info["payload"], payload_info["delay"], payload_info["endpoint"])

if __name__ == "__main__":
    asyncio.create_task(process_payloads())  # Start processing payloads in the background
"
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:
حبيبتي يا شوشو ربنا يخليك يا رب وانت طيبه وبخير
Assistant:
this is master. wr
Brown dwarf goes frozen and becomes planet, what color and chemistry?
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le titre, les ingrédients et les instructions de cuisine. Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


     Context Dump
    Données de la recette fournies :

    json
    {"title":"Zucchini and sainte-maure pizza Sainte-maure de touraine is a wonderful goat's cheese that is now recognized by the protected aop label.","ingredients":"For the recipe : baker's yeast or a quarter of a sachet of dried yeast,fine pastry flour,salt,olive oil,cold water,green and yellow zucchini,white onion,bunch of basil,crushed garlic clove,sprig of thyme,half a sainte-maure de touraine cheese,segments of confit tomatoes,pitted black olives (preferably taggiasche)","instructions":"Dissolve 1 teaspoon of baker's yeast or a quarter of a sachet of dried yeast in a little warm water.\nIn the bowl of a food mixer, combine 145 g of fine pastry flour, 2 pinches of salt, 1 teaspoon of olive oil, and 2 tablespoons of cold water.\nMix at low speed until you achieve a uniform dough. Shape it into a ball.\nCover with a damp cloth and let it rise at room temperature for at least 30 minutes.\nMeanwhile, wash the 4 green and yellow zucchinis, slicing two into thin rounds (about 2 mm) and cutting the other two into small cubes (5 mm), removing the seeds.\nTrim and thinly slice the white onion.\nRinse, dry, and pick the leaves from the bunch of basil, then chop them up.\nIn a frying pan with a little olive oil, gently sauté the zucchini cubes with the crushed garlic clove and the thyme leaves under a lid for 10 minutes, then mash using a fork.\nLightly salt, add the chopped basil, and mix thoroughly.\nRoll out the dough into a rectangle about 4 mm thick.\nTransfer it to an oven tray lined with baking parchment and bake in the oven for just 3 minutes.\nMeanwhile, cut half a Sainte-Maure de Touraine cheese into rounds.\nRemove the oven tray and evenly spread the zucchini mixture on top.\nDecoratively arrange alternate rounds of raw zucchini, rounds of Sainte-Maure, sliced onion, 20 segments of confit tomatoes, and 20 pitted black olives (preferably Taggiasche).\nPlace the pizza back in the oven for 10 to 15 minutes.\nWhen you remove it, add a twist of freshly ground black pepper.\nServe immediately.","region":"FR"}
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Kausana. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
What if Jerry Mouse and Minerva Mink (Animanaics) were to date each other
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
3 tablespoons soy sauce,1 tablespoon liquid smoke,1 tablespoon pure maple syrup,1 tablespoon apple cider vinegar,1 tablespoon olive oil,1 tablespoon tomato paste,3/4 cup vegetable broth,2 garlic cloves, crushed
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

If the answer is precise, relevant, and can answers the question, return 1. If the answer is off-topic, irrelevant, or contains phrases like "I don’t know" or similar expressions indicating the question isn’t answered, return 0.

Examples:

Example 1:
Question: "Who was the first person to walk on the moon?"
Answer: "The first person to walk on the moon was Neil Armstrong in 1969."
Result: 1

Example 2:
Question: "Who was the first person to walk on the moon?"
Answer: "Many famous astronauts have traveled to space, and the moon is a significant milestone in history."
Result: 0

Example 3:
Question: "What is the primary cause of global warming?"
Answer: "I don’t know."
Result: 0

Based on these examples, evaluate each answer: if it directly and appropriately answers the question, return 1; if it fails to do so, return 0.


User: Question: Chương trình Trung thu tình nguyện 2024 có tên gì?
Answer:Chương trình Trung thu tình nguyện 2024 có tên là "ÂM SẮC ẤM".
Result only 0 or 1. Don't add anything else:
Assistant:
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: The following table summarizes the scheduled maturities of term debt, excluding available extensions, at December 31, 2021: | | | | | | Thereafter | 2,904,632 | | All of the Company’s lines of credit are guaranteed by the Company. The following table presents information on the Company’s lines of credit, the proceeds of which are used to repay debt and for general corporate purposes, for the periods indicated: | As of December 31, 2021 | | | | | | | Revolving Lines of Credit | Amount Drawn | | Capacity | | Interest Rate | | | | Maturity | | Basis Rate (1) | Credit Line 1 (2) | $ | 55,000 | | | $ | 140,000 | | | 1.6% | | | | 7/1/2023 | | LIBOR plus 1.45% | Credit Line 2 (3)(4) | 480,000 | | | 1,250,000 | | | 1.0% | | | | 6/20/2025 | | LIBOR plus 0.85% | (1) 30-day USD LIBOR | (2) Secured by mortgages on certain real estate assets. One two-year extension available. | (3) Unsecured. Two six-month extensions available. | (4) Basis Rate as of December 31, 2021. Rate is subject to change based on our investment grade rating. | The Company is exposed to certain risk arising from both its business operations and economic conditions. The Company principally manages its exposures to
Assistant:
correct spelling - British English, punctuation and grammar. Choose appropriate words to make this relatable and come to life. Do not change meaning or intent. Thanks. You want to become a data scientist? BE ONE

If you're still debating whether you are ready to become a data scientist and you are feeling there's something missing - consider this.

The issue isn’t that you are ill-quipped to transition.

You’re probably just thinking about it the wrong way.

Choose a problem you are passionate about.

Get the data and try to understand what it says.

Sure your lack of expertise will show but you can collect skills as you go.

Learn the necessary tools and techniques as you need them  and don't binge watch video.

That’s how you become a data scientist by forging your own path.

This is just the beginning!
explain in clear words

Proficient in Power BI Cloud and experienced with building semantic and tabular models.