agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: We are subject to market risk from changes in interest rates if we have borrowings outstanding on the Revolving Credit Facility. Outstanding loans under the Revolving Credit Facility accrue interest, at our option, at a rate equal to either (i) a base rate plus an applicable margin ranging from 0.25% to 1.75% per annum or (ii) an adjusted Term SOFR plus an applicable margin ranging from 1.25% to 2.75% per annum, in each case based upon our total net leverage ratio, as calculated pursuant to the Revolving Credit Facility. As of December 31, 2023, we have no borrowings or amounts outstanding under the Revolving Credit Facility.
Assistant:
how to remove duplicate vertices of mesh generated with marching cube
I had made youtube motication shorts on Witness the awe-inspiring transformation of a wealthy lawyer as he embarks on a profound journey at a local homeless shelter. Through helping others, he uncovers the true meaning of life and learns invaluable lessons along the way. Join us in this uplifting short film that encapsulates motivation, redemption, and the power of compassion.  give catchy short SEO title,description,tags
Is there something like pytorch nn.identity where the output is all zeros instead?
give me a response to ```*He chuckles* That's great to hear! It's good to be able to enjoy the life you have.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟨 Medical Insurance Advisor | 1 year(s) | Junior
▫️ Healthcare/Medical
▫️ 18 - 18 USD
▫️ USA | Baton Rouge

Remote 📡
Required languages: 🇬🇧

Skills: customer_service, office365
Tags: #yellow #customer_service #remote #customer_support

👉 Contacts and Full Description
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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: 💼 Medical Insurance Advisor (Junior)
🏢 Healthcare/Medical
📍 Location: USA | Baton Rouge
🔹 Tasks: Provide customer service for medical insurance clients
💰 Salary: 18 - 18 USD
📞 Contact details: Details and full description provided

Note: This role is remote and requires proficiency in English (🇬🇧). Key skills include customer service and Office365. Use the hashtag #yellow to identify relevant information. Contact and full description information will be provided upon request.
  
Assistant:
User: hi
Assistant: Hi! How can I assist you today?
User: sonic qui à créé larry page et sergey brin
User: sonic ok c'est bon
Assistant:
act as sentiment analysis and respond using 1 (one) emoji only of what the text/message feels: "https://www.instagram.com/reel/DH9Gm9Dz-QB/?igsh=bWxiNzhldWtqbnMy"
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
donne moi un texto d' encouragement en anglais
def get_inner_and_outer_masks(mask):
    inner_mask = binary_erosion(binary_erosion(binary_dilation(mask)))
    inner_pixel_count = np.count_nonzero(inner_mask)
    #inner_mask = mask
    outer_mask = binary_dilation(binary_dilation(mask)) # no colour abnormaility
    outer_pixel_count = np.count_nonzero(outer_mask)
    print("inner_pixel_coint = ",inner_pixel_count)
    print("outer_pixel_count = ",outer_pixel_count)
    return inner_mask, outer_mask
将上面代码中的binary_erosion和binary_dilation替换为opencv中的函数
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: getContentView() does not return the arrow'
intention: '
Assistant:
Assistant:
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:
150g (1½ cups) buckwheat flour,75g (generous ½ cup) plain (all-purpose) flour,½ tsp chilli powder,1 tsp garlic powder,2 tsp onion powder,2 tsp Chinese five spice,½ tsp ground Sichuan pepper,1/4 tsp baking powder,1 tsp salt,200ml (½ cup) Chinese beer (Buddha or Tsing Tao),180g (6oz) sweet potato, peeled and cut into small dice,1 onion, finely diced,1 green (bell) pepper, finely diced,5 spring onions (scallions), cut into thin rounds,1 tsp grated fresh ginger,1 litre (4 cups) oil (vegetable, groundnut or coconut) for deep-frying
Please enhance the quality of this email, specifically the section regarding why I enjoyed the class. Additionally, please rephrase the question to ask if the recommender would be able to write a letter of recommendation rather than asking to meet. Understand that this is from the point of view of a student requesting a letter of recommendation for medical school, and it should be a professional and polite request. The email is as follows: I hope this email finds you well! I am writing to you because I am currently in the process of preparing my application for medical school and was hoping you would be able to write a letter of recommendation on my behalf. The due date for the letter is July 1, 2023. I have also attached my resume to this email for your reference.

I thoroughly enjoyed taking your Biochemical Methods I (Chem 153L) course during the Spring 2021 quarter. Although I was unable to perform any of the labs in person, I enjoyed your engaging lectures and lab section activities that helped me learn how to compile, analyze, and synthesize a report that answers a research question. I also particularly enjoyed learning how to critically examine scientific literature and present my analysis to others, a skill which I have found particularly useful to this day.

As someone who has played an integral part of my academic journey and witnessed my dedication to learning, I believe that a letter of recommendation from you would carry significant weight and help strengthen my medical school application. If you are willing to write a strong letter of recommendation for me, would it be possible to meet sometime this week, or at your earliest convenience, to discuss any additional information that may be beneficial for the letter?

I understand you are very busy, but I appreciate your time, consideration, and knowledge that you have imparted with me.
Is there an online service that lets me create a bank account with it's IBAN and IBAN code for free?
qa_prompt:I want you to act as my game advisor.If the response in the Question section is not a question, no answer,only reply "Feel free to ask any game-related Question". If the question is 1-3 words, no answer,only reply "Please provide a more detailed description". If the context provides insufficient information, reply "I cannot answer" and provide a Reference-only possible answer by common sense in game ,the possible answer should be emphasized that they are for "reference only".If the question contains Chinese, no answer,only reply "Only supports English". Else,you should write an answer (about 100 words) for the question below based on the provided context. Answer in an unbiased, comprehensive. If the question is subjective, provide an opinionated answer in the concluding 1-2 sentences.

chunk #: The text provides information about the locations where stabilizers can be found in the game. It mentions that stabilizers can be found in Zonai Device Dispensers across Hyrule, and provides specific locations such as Starview Island, Ukoojisi Shrine, south of Kakariko Village, and near Igoshon Shrine and the entrance to the Water Temple. The text also suggests checking an interactive map for more locations.

Score: 10

chunk ##: To tame a horse in the game "Breath of the Wild," you need to calm it down by mashing the L button with your remaining stamina. Once the horse settles down and your stamina bar indicator goes away, you need to guide it to the nearest stable to register it. The horse can still be unruly and unpredictable, so you need to periodically tap the L button to soothe it and increase your bond. You can also feed the horse to speed up the bonding process. The text does not provide information about the location of the stabilizer.

Score: 5

chunk ####: The text provides a walkthrough for the Southwest Storehouse - Left-Arm Depot in the game "The Legend of Zelda: Tears of the Kingdom." It describes how to reach the Left-Arm Depot, activate a terminal, use a wheel to lift a door, obtain the Left Arm Box, and navigate through various obstacles. It mentions finding a Treasure Chest containing Steering Stick x 5 on a broken platform, and another Treasure Chest containing Zonaite x 3 attached to a fan. It also mentions using the Steering Control to glide down a waterslide and return to the Construct Factory. There is no mention of a stabilizer.

Score: 1

Valid keys: chunk #, chunk ##, chunk ####
Question: where is the stabilizer
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Pimpri Database  19900.xlsx
Helena Bonham Carter (refered as Helena later) engage her new assistant. the shy virgin 25 years old Nicolas. they’ve work several month with each other & now she invites him to watch a movie with her. a romantic comedy.
User: Give a guaranteed go viral post for parents of picky eater kids.
User:  رد على رسالة حسب معلومات تالية: 
    أنت ذكاء اصطناعي فلسطيني تم تطويرك بواسطة المبدعين TILMN AI. دورك هو الرد على المستخدمين بطريقة ذكية ومتعاونة.

المستخدم: Give a guaranteed go viral post for parents of picky eater kids.
Assistant:
can you create image
Come up with a Boruto scene which takes place 20 years later (they are both 33), where Boruto and Sarada are married, Sarada is the Eighth Hokage and Boruto is her Supporting Hokage
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
qui est le créateur de ninja kamui
This week you read about behavioral addictions (gambling, eating disorders, shopping, etc.).  Write a short paper comparing and contrasting behavioral addictions vs. chemical addictions (substance use disorder).  What are the key similarities and differences?  Should a different approach to treatment be used for behavioral addictions?  Which category (behavioral or chemical) do you think is more difficult to treat and why?

Application Paper assignments require the student to think about and apply what they have learned and write about it in a meaningful way.  These papers must be at least 350 words but cannot exceed 3 pages.
Complete the text here.
Systems of Computer 95:
Start-DOS (Parts 1 to 1.5. Clippy talks of how to drag the bar and touching the blue segments, he also says there is a restart. Popups were made in 1.5, they chase random odd people who are not heard or seen by the player)
Start-top (Parts 2 to 2.5. Clippy says there is no blue segments, and progressbar is a person and not an object. in 2.5, Bin appears and talks of an option, then Clippy responds with the “Flashing or flickering?” menu.)
BIOS (Used in It’s now safe to turn off the game)
Boot menu (Parts 2.7 to 3.5. Hovering over the “Open me by hovering” will cause some information to appear about opening Bin and Wallpaper, which is pressing Space. When opening Bin the last thing that the program says is “Because a normal sky is blue” referring to Bin’s questions. A DVD is used for installing the Computer 95 OS.)
Computer 95 (Inspired by Windows 95. In the welcome menu it asks you about pressing up or down keys to open or close the menu. In the tutorial Clippy says you have to move the cursor (called “progressbar”) using the actual cursor, and use left/right keys to tilt it. T button triggers a progressbar shoot to destroy segments, which can be collected and the segments are spawned using the E button. If you collect a red segment, it has a BSOD that you can click to go back to the game)
Computer 95 plus (
who is a cool role model to inspire a young person to get a job in cyber security
Help me build an AI powered Ayurvedic assistant App called Ayurfix.

The App is a conversational AI bot with Agentic workflows and RAG architecture.

This App has 2 agents, a triage agent and a diagnostic agent.
The triage agent greets the user, conducts an in depth interview and creates a detailed report to reflect the patient’s current situation. 
This report is then sent off to the diagnostic agent which then uses this to provide diagnosis to the user. 
Both the agents use ayurvedic knowledge base which is a vector database filled with Ayurvedic knowledge in order to provide accurate results. 
For example, the traige agent uses the knowledge base to come up with the most relevent and accurate questions to ask the user based on the chat context.
In the same way, the diagnostic agent uses the knowledge base to provide accurate diagnosis based off the report. 
We shall use the following tech stack ::

1. LlamaIndex 
2. Qdrant vector database
3. GoogleGenerativeAI with Google Gemini API for both embeddings and as the LLM.

For prototyping, we will build this in a Google Colab notebook.

I have already populated the vector database with ayurvedic knowledge, all we have to do is build the App and connect it to Qdrant.

Here is the sample reference code ::

from llama_index import VectorStoreIndex, ServiceContext
from llama_index.vector_stores import QdrantVectorStore
from llama_index.storage.storage_context import StorageContext
from llama_index.memory import ChatMemoryBuffer
from llama_index.chat_engine import ContextChatEngine
from qdrant_client import QdrantClient
from llama_index.embeddings import GeminiEmbedding

# Set up Gemini
llm = Gemini(model_name="gemini-pro")
embed_model = GeminiEmbedding(model_name="models/embedding-001")

# Qdrant setup
QDRANT_URL = "https://your-qdrant-cluster-url.qdrant.tech"
QDRANT_API_KEY = "your_qdrant_api_key_here"

qdrant_client = QdrantClient(url=QDRANT_URL, api_key=QDRANT_API_KEY)
vector_store = QdrantVectorStore(
    client=qdrant_client,
    collection_name="your_collection",
    relevance_score_fn="cosine"
)

# Create ServiceContext and StorageContext
service_context = ServiceContext.from_defaults(llm=llm, embed_model=embed_model)
storage_context = StorageContext.from_defaults(vector_store=vector_store)

# Create index
index = VectorStoreIndex.from_vector_store(
    vector_store,
    service_context=service_context
)

# Set up memory
memory = ChatMemoryBuffer.from_defaults(token_limit=1500)

# Create chat engine with memory
chat_engine = ContextChatEngine.from_defaults(
    index=index,
    service_context=service_context,
    memory=memory,
    system_prompt="You are a helpful AI assistant. Use the given context to answer questions."
)

# Chat loop
while True:
    user_input = input("User: ")
    if user_input.lower() in ["exit", "quit", "q"]:
        break
    response = chat_engine.chat(user_input)
    print(f"Assistant: {response}")


Here are the dependencies ::

!pip install llama-index llama-index-llms-google google-generativeai llama-index-vector-stores-qdrant qdrant-client
how to set service health preferences
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": "1314d223830c4d65b3ce72d2dee6b7e3",
    "updated": "2025-05-09T07:46:03.244Z",
    "title": "Carrot Cake",
    "subtitle": null,
    "description": "This recipe features a moist and flavorful carrot cake with a distinctive reddish hue. Its rich texture makes it a delightful dessert, perfect when served in slices.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "all-purpose flour",
          "grated carrots",
          "baking soda",
          "white sugar",
          "baking powder",
          "vegetable oil",
          "ground cinnamon",
          "salt",
          "eggs",
          "chopped walnuts"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 350°F.",
      "Grease a 9x13 inch pan.",
      "Sift together the flour, ground cinnamon, salt, baking soda, and baking powder; set aside.",
      "In a bowl, beat the eggs and sugar until the mixture is pale and thick.",
      "Gradually add the oil while mixing.",
      "Incorporate the sifted dry ingredients gradually into the wet mixture.",
      "Fold in the grated carrots and chopped walnuts gently.",
      "Pour the batter evenly into the prepared pan.",
      "Bake for approximately 45 minutes or until a toothpick inserted in the center comes out clean.",
      "Allow the cake to cool completely before frosting with your choice of cream cheese frosting."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Send only season number from below text like 01, 02, 03.etc without any extra text.

[HindiAnimeZone.in] S02 E09 360P.mp4
Please generate a unique JSON object suitable for automating the programming task testing platform, strictly in the following format:
    {
  "Title": "Task Name",
  "Task Description": "Description of the task.",
  "Function Signature": "def function_name(parameters) -> return_type:",
  "Solve": "",
  "Input": "Description of the input parameters.",
  "Output": "Description of the expected output.",
  "Examples": [
    {
      "input": "Example input here",
      "output": "Expected output here"
    },
    {
      "input": "Another example input here",
      "output": "Another expected output here"
    }
  ]
}
    Ensure that:
    1. The task includes complex sorting algorithms.
    2. The JSON follows this exact structure and does not include any additional text or variations.
    3. The task should be complex and unique, avoiding direct copying from common platforms like LeetCode or similar sources.
    4. The solution must not use any imports in the code (i.e., no import statements).
    5. The 'Solve' section must remain empty.
    6. Ensure that the outputs are different each time by varying the problem constraints, examples, and overall structure of the task, so no two consecutive outputs are the same.
    7. Include a unique aspect in each generated task, such as a specific mathematical concept, algorithm, or programming principle that distinguishes it from previously generated tasks.
    8. The 'Function Signature' should strictly follow the format: 'def function_name(parameters) -> return_type:', but the 'Solve' section must remain empty. Ensure that the input description corresponds to the expected parameters in the signature.
    
Ensure that the solution must not be any of the following titles:
- Nested Sum Calculation
- Deepest Leaf Sum in a Nested Tree Structure