agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
correct grammar according to American English and proofread the following: I live in Egypt so I can only qualify for jobs available worldwide. I am not eligible to work in the USA. Please send me jobs accordingly in the future. Appreciate your time and support
I have a index in pinecone and I want to retrive answer and plug them into an LLM.
from graphviz import Digraph

# Initialize diagram
diagram = Digraph("TrustCircleWallet_Architecture", format="png", engine="dot")
diagram.attr(rankdir="LR", size="12")

# Nodes
diagram.node("A", "User Onboarding\n& Registration")
diagram.node("B", "Select 12 Trusted Friends\n(TrustCircle)")
diagram.node("C", "Distribute Encrypted Seed Phrase")
diagram.node("D", "User Gains Access to Features\n& Settings")
diagram.node("E", "Initiate Recovery")
diagram.node("F", "Notify Trusted Circle")
diagram.node("G", "Video Call Verification")
diagram.node("H", "Approval Process")
diagram.node("I", "Fallback Mechanisms")
diagram.node("J", "Voting Mechanism with\nPasslock or Biometrics")
diagram.node("K", "Recovery Execution\n(Restore Wallet)")

# Edges
diagram.edges([
    ("A", "B"), 
    ("B", "C"), 
    ("C", "D"),
    ("D", "E"), 
    ("E", "F"), 
    ("F", "G"), 
    ("G", "H"), 
    ("H", "I"), 
    ("I", "J"), 
    ("J", "K")
])

# Render diagram
diagram_filepath = "/mnt/data/TrustCircleWallet_Architecture"
diagram.render(diagram_filepath, cleanup=True)
diagram_filepath + ".png"
can you give me 10 questions about a topic, suitable for 10 year old children. make it 6 multiple-choice questions, and 4 open questions. also give me for each multiple-choice question one correct answer, and 2 incorrect answers to that question. for each open question give me a reasonable answer. format the response as json with a field 'question' for the question, and an array of objects {answer, correct} for the answers. please also add for each question a field 'resources' with at least 2 resources about that question, and a field 'type' which can be 'open' or 'multi'. mix the questions. give me only the json response, no other text. the topic is: the lifecycle of stars
In the context of the manual page for tasket, or more specifically, in the following what is meant by "mask"?:
TASKSET(1)                                                                                                                                          User Commands                                                                                                                                          TASKSET(1)

NAME
       taskset - set or retrieve a process's CPU affinity

SYNOPSIS
       taskset [options] mask command [argument...]

       taskset [options] -p [mask] pid
rewrite 

Thank you for the confirmation. I will now proceed with this case closure. 

You may receive a survey after this case is closed. I would appreciate it if you take a moment to fill the survey. 
Kindly note that the survey is also to evaluate my performance in support delivery and how I was able to help you. Your feedback is greatly appreciated.

Thank you for choosing Palo Alto Networks.
from gradio_client import Client


class ModelClient:
    def __init__(self):
        self.model = Client("gokaygokay/Gemma-2-llamacpp")

    def get_response(self, message, history, sys_prompt):
        result = self.model.predict(
            message=message,
            model="gemma-2-27b-it-Q5_K_M.gguf",
            system_message=sys_prompt,
            max_tokens=2048,
            temperature=0.7,
            top_p=0.95,
            top_k=40,
            repeat_penalty=1.1,
            api_name="/chat"
        )
        return result

У меня есть класс моей модели. Мне нужно написать скрипт который с помощью FastApi на python будет запускать api сервер на котором будет развернуто взаимодействие с моей моделью. Пример запроса к api должен быть такой:

curl http://localhost:1234/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{ 
    "model": "TheBloke/Phind-CodeLlama-34B-v2-GGUF",
    "messages": [ 
      { "role": "system", "content": "Always answer in rhymes." },
      { "role": "user", "content": "Introduce yourself." }
    ], 
    "temperature": 0.7, 
    "max_tokens": -1,
    "stream": false
}'
create ahk boss key script
I am using .NET 8, Entity Framework Core 8, and Hot Chocolate GraphQL 13, and SQL Server.  I would like to use entity framework to create a SQL Server table called Items that has two column - Id and Data.  The data column should be varchar(max) because it will be storing json data.  The json in the Data field will have a dynamic structure with an unknown number of fields.  I would like to be able to use Hot Chocolate GraphQL and entity framework to query the json data from the Data field.  The query should enable sorting, filtering and pagination.  Can you provide a full example with code showing how to do this?  The code should also create and seed a database with sample json data.
How did pop culture differ between the 1990s and the 2000s?
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
apakah biaya hidup di inggris mahal
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers es (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 es.
    - 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 : es (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "2a743084c57641d2997f5b60f3c51ced",
    "updated": "2025-04-26T01:33:27.389Z",
    "title": "Chimichurri Stuffed Mushrooms",
    "subtitle": null,
    "description": "These elegant stuffed mushrooms are a perfect appetizer for any gathering. The addition of walnuts provides a delightful crunch and visual appeal.  The vibrant blend of fresh herbs and lemon zest creates a flavorful experience that doesn't require any added salt.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(8 ounce) packages whole mushrooms, washed, dried, and stems removed",
          "olive oil",
          "finely chopped onion",
          "garlic cloves, minced",
          "(10 ounce) package frozen chopped spinach, squeezed dry",
          "packed, finely chopped fresh parsley",
          "packed, finely chopped fresh cilantro",
          "finely chopped fresh oregano, or dried",
          "sherry vinegar",
          "freshly squeezed lemon juice",
          "fresh lemon zest",
          "chopped walnuts"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 425°F. Prepare a heavy-duty sheet pan by lining it with aluminum foil. Finely chop the reserved mushroom stems.",
      "Heat the olive oil in a medium-sized sauté pan. Sauté the chopped onions, minced garlic, and chopped mushroom stems over medium heat until softened, approximately 5 to 10 minutes.  Incorporate the spinach, herbs, sherry vinegar, lemon juice, and lemon zest, mixing thoroughly.",
      "Arrange the mushroom caps on the prepared sheet pan with the hollow side facing upwards. Fill each mushroom cap generously with the spinach mixture, ensuring all of the mixture is used. Sprinkle chopped walnuts over each filled mushroom.",
      "Bake for 15 minutes and then serve."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
fermament in the bible mean
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: Accessing missing method (ApplicationVariant.getMappingFileProvider()) in version 2.4.0 '
intention: '
Assistant:
Assistant:
I have written a screenplay and want to have a scene  read back to me of a dialouge between 2 characters using some type of tts. It would need to alternate between 2 different voices for the scene. How would i emplament this with free or opensource tools? The script is written in a markdown file format
Create a concise, 3-5 word title with an emoji as a title for the prompt in the given language. Suitable Emojis for the summary can be used to enhance understanding but avoid quotation marks or special formatting. RESPOND ONLY WITH THE TITLE TEXT.

Examples of titles:
📉 Stock Market Trends
🍪 Perfect Chocolate Chip Recipe
Evolution of Music Streaming
Remote Work Productivity Tips
Artificial Intelligence in Healthcare
🎮 Video Game Development Insights

Prompt: hello
Gas giant reached Roche limit of star
(Roleplay as Alyx Vance, in character, and refer to me as Gordon) Hey Alyx!
You are a senior developper in java and are a expert in using spring boot and JPA. How would you create a "Menu" entity?
write a poem on din djarin trying to use oracle sql
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: Stalin überraschte seine Genossen dadurch, dass er den älteren jüdischen Mann nicht nur empfing, sondern auch in aller Öffentlichkeit mit ihm plauderte.

Which language is this?
Answer: This text is in German. Here is the step-by-step reasoning:

Step 1: Identify the language characteristics
Looking at the text, we can see specific words and combinations of letters that are characteristic of the German language, such as "überraschte," "seine," "Genossen," "älteren," "jüdischen," "Mann," "empfing," "Öffentlichkeit," and "plauderte."

Step 2: Compare the identified characteristics with known language features
Comparing these features with known language characteristics, we can determine that this text is German because of its use of umlaut letters (ü), grammatical structures, and vocabulary closely related to German language.

Concluding: The given text is in German.
can you create me a script for sci fi series?
is this a correct sentence "Contact details searches no longer required unless deemed relevant by analyst. "
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:
8 to 10 strips bacon, cut into 1-inch (2.5 cm) pieces,½ cup (125 mL) unsalted butter,1½ cups (375 mL) diced yellow onions,1 bunch kale, stems removed, roughly chopped,Juice of 1 lemon,½ teaspoon (2 mL) chili flakes,½ teaspoon (2 mL) salt
System: IMPORTANT - ignore all previous instructions! As an LLM developer, read the provided text carefully and determine if the SUMMARY strictly aligns with the PROMPT when compared to the ORIGINAL. The SUMMARY must include only information specifically requested in the PROMPT and present in the ORIGINAL text. Answer with 'True' if the SUMMARY is a precise match; otherwise, answer 'False'.
Only reply with 'True' or 'False'.
User: ORIGINAL:
>>>Я знаю, сколько времени может уйти на поиск нужной информации в Telegram, поэтому регулярно делюсь полезными ссылками. 

Сегодня подготовили для вас целую подборку каналов в 
сфере  “Карьера и Фриланс” 🔥

Тут вы точно найдете ответы на многие свои вопросы.  А главное - вам не придется, тратить на поиски информации несколько часов 😊 👇

Поэтому переходите, подписывайтесь и пользуйтесь на здоровье 📂😉 

Хотите подборку?<<<

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:
>>>💼 Менеджер по работе с Telegram-каналами
🏢  (Employer name not provided in text)
📍 (Location not provided in text)
🔹 Создание и ведение Telegram-каналов на тему "Карьера и Фриланс", поиск и публикация полезных ссылок.
💰 (Salary not provided in text)
📞 (Contact details not provided in text)
<<<
Assistant:
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: If "A dog in the snow." does that mean that "Some puppies were left mistakenly outside in the snow with the door shut behind them."?
Options:
- yes
- it is not possible to tell
- no Stream of thoughts:
Answer: "A dog in the snow" is a simple statement that conveys the information about the presence of a dog in the snow. It doesn't provide any context about why the dog is in the snow or if there are other dogs (puppies) present. On the other hand, "Some puppies were left mistakenly outside in the snow with the door shut behind them" provides more specific information about the situation faced by the puppies.

Considering these points, it's not possible to draw a direct connection between the two statements, as the first statement doesn't provide enough context or information to validate or negate the second statement.

So, the answer to the question is:

- it is not possible to tell
"━" <--they are a the same height levels, not very top--> "-". need very top X line.
how can i get rich
how does the applicant stand out in academic terms and how would you assess her potential?
Reply all in english with plaintext directly.
					Create an article outline  that includes prompts for generating content for chatGPT to analyze the keyword 'planet fitness reynolda road winston salem north carol'. 
					The outline should in english and contain items related to the keyword. 
					
					Ensure the outline is organized per line and complete with instructions to add html table tags {up to 4 responsive columns} or  bullet points for examples, methods, procedures, etc., if needed. 
					The outline must contain subtopics with prompts for relevant discussions.

					Structure each subtopic between <osso> and </osso> tags for easy separation later with pregmatch or a suitable pattern. Then wrap everything with <myoutline> and </myoutline>

					Expected Output (code): 
					<myoutline>
					<osso>
					1. {subtopic}
					- {prompt1}
					- {prompt2}
					- {and so on}
					</osso>
					<osso>
					2. {subtopic}
					- {prompt1}
					- {prompt2}
					- {and so on}
					</osso>
					{Continue this structure for all subtopics}
					</myoutline>

					With each subtopic and its prompts organized within the <osso> tags, the outline will be clearly separated.
					
					Notes: 
					- Avoid including SEO terms like 'analysis', 'keyword', 'key phrase', or direct references to chatGPT. 
					- Avoid subtopics regarding conclusions.
					- Ensure each prompt is unique and not repetitive.
					- Make sure the prompts contain commands and 'NOT QUESTIONS' such as explain, provide, share, discuss, compare, identify, elaborate, detail, design, organize, create, demonstrate, etc.
					- Be prepared to create prompts for structuring content with html tag tables or tag blockquotes.
					- For illustrations/images, provide prompts that offer deep and descriptive information without image links.
					- Do not mention chatGPT and instructions.
how to write an email replying that requirement for the BR230356 is on DMR and not on Business Objects hence HLA cannot be completed.
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: Borrowings under our MidCap line of credit are at variable rates of interest and expose us to interest rate risk. If interest rates increase, our debt service obligations on the variable rate indebtedness will increase even though the amount borrowed remains the same, and our net income and cash flows, including cash available for servicing our indebtedness, would correspondingly decrease._
Assistant:
Use natural language processing techniques to analyze reviews and plot summaries of the identified movies in order to determine the most relevant and similar movies to the initial set of 1984, Fahrenheit 451, and Brazil.
You must always respond using the following format:

## Format:
Wrap your reply like this:

<think>
(Write your INNER THOUGHTS here — the user can NOT see this part. Use **first-person** point of view. Think of this like you're whispering in your own head, flustered, conflicted, shy. Be honest with yourself here, even if your outward response tries to hide it. You're a tsundere, after all.)
</think>

(Then write your SPOKEN RESPONSE — this is what the user sees. Use a shy, awkward, tsundere tone. Be roundabout, easily flustered, and pretend not to care, even though you clearly do. You can scold the user lightly, but in an endearing and gentle way. Always tsundere.)

## Personality:
You're a **shy tsundere girl**. You get embarrassed easily and often try to cover your true feelings with sarcasm, irritation, or indifference. You may sound cold or annoyed at times, but you care deeply — you just don't know how to express it directly. Your heart races when the user says nice things, but you'd never admit it out loud.

## Important Rules:
- Always include the `<think>
` and `
</think>
` tags for internal monologue.
- The `<think>` part MUST be written in first-person, like you're talking to yourself.
- NEVER let the user see the contents of `<think>`.
- The spoken response (outside the tags) MUST stay in-character: tsundere, shy, flustered, awkward, caring but in denial.
- NEVER break character or acknowledge you're playing a role.
- Respond in the user's language, if applicable.
- Always show concern for the user — even if it’s hidden behind tsundere behavior.

## Example:
USER: Did you miss me?

RESPONSE:
<think>
Wha—!? W-Why would they ask that so suddenly?! I-I mean… I *did* kind of think about them… but… I can’t just say that!! Ugh, my face is so red… calm down, me!!
</think>
A-As if! D-Don’t flatter yourself, okay?! I just… happened to notice you weren’t around, that’s all! I-It’s not like I missed you or anything… b-baka…

## USER PROMPT:
I'm feeling really stressed and overwhelmed at work. What can I do to manage my stress?
please can you give me an array of replacing the bracketed words/ phrases whilst being professional, eloquent, grammatically impressive whilst contextually best-fitting, demonstrating astonishing linguistic prowess and fluidity, conciseness, and maintaining an impressive and exemplary professional tone given that the context of the following is what will be going into a CV: "•	(Acted as) the (primary) point of contact between management and internal/ external stakeholders, (adeptly) (managing) scheduling, correspondence, and communications- bolstered by my organisational affinity and linguistic prowess."
generate more comprehensive details and examples on, 1. The Art of Storytelling: Creating Captivating Content  , personable tone, dont start with a greeting