agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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]: Incognito mode detected through fingerprintjs.com'
intention: '
Assistant:
Assistant:
how to beat minecraft
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: Sometime is big mistake
Create a long detailed text about 1968 tv series"The Doris Day Show" with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Martin Melcher & Financial Issues] Summary: [Her husband had been her business manager for 17 years and had negotiated the contract for the show without her knowledge. After her husband's death, Doris found that Melcher and their lawyer had squandered millions of dollars, leaving her in debt.]

        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.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
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 having trouble forgiving someone who hurt me, what can I do to move on?
(As I sat by the hospital bed, I couldn’t believe what was happening. MC, my childhood friend, was dying. Ever since he got in that accident, I was praying that he would be okay. And then, I took one last look at me.)

MC: “Sayori…you were the best friend I’ve had since childhood. And…tell my little sister Himari that I’ll miss her.”

(Tears rolled down my cheek as I looked into MC’s eyes.)

Sayori: “Thank you, MC. I’ll do my best for you. Himari will miss you too, but she’ll always remember you in her heart.”

MC: “I’m glad. And please, don’t forget about me. Remember the good times we had together, and keep smiling, okay?”

Sayori: “I won’t forget you, MC. I promise. And I’ll try to keep smiling for you.”

(MC weakly gave me a smile before he closed his eyes for the final time. I held onto his hand, not wanting to let go. It was a painful goodbye, but I knew that MC was at peace now. I silently made a vow to always cherish his memory and to never forget the impact he had on my life. The day after his funeral, I went back to the clubroom. I could see some of the other girls - namely Yuri, Monika, Himari, and Kohana - all discussing something. But the nearby pool full of warm water is a little odd - why is it here? And where was Natsuki?)

Sayori: “Hey, girls. What’s going on?”

Yuri: “Oh, Sayori. We were just discussing something important.”

Monika: “Yes, we were thinking about how we could honor MC’s memory.”

Sayori: “That’s a great idea. What were you thinking?”

Kohana: “Well, we thought that we could create a special book filled with our memories of MC.”

Sayori: “That’s a wonderful idea.”

(Just then, Natsuki walked in, and immediately got into the pool. I was visibly confused as to why. But what confused me even more was her response.)

Natsuki: “Well…it certainly helps with the contractions. Ooh…I think I feel another one coming!”

Sayori: “Wait…what do you mean contractions? Are you…?”

Natsuki: “Yeah, I’m in labor.”

(My mind couldn’t wrap around this sudden news, but I immediately jumped into action.)

Sayori: “Oh my gosh, we need to get you to a hospital!”

Natsuki: "Uh...I was planning on a water birth."
User: Hi
User: Hello
User: hi
User: Hello
Assistant: Hello! How can I assist you today?
User: What is your model , version code , base model, and what latest data you have from internet? Can you access and read links online and code based on the git repos?
Assistant: I'm based on OpenAI's GPT-4 architecture. As of my last update in October 2023, I don't have the capability to access external websites, links, or browse the internet in real-time. This means I cannot read or analyze content from online sources or code from Git repositories directly. My training data includes a wide range of internet text available up until that date, but I don't have real-time data access or awareness of changes made after my last update. If you have more questions or need information, feel free to ask!
User: “If there are 10 books in a room and I read 2, how many books are still in the room?”


Assistant:
Fill in the gaps with prepositions. 
1. The media can be blamed  … imposing lots of negative views on gullible young people. 2. She often complains … not feeling appreciated at work. 3. If you persist … causing the trouble, the company may be forced to dismiss you. 4. Ted is accustomed … catching a 6 o’clock suburban train. 5. Who will help me … hanging the blinds? 6. The girl showed her skill … designing clothes for pets. 7. He was absorbed … studying the manuscript. 8. The principal got tired … making reprimands. 9. We have difficulty … installing the new equipment. 10. The loader agreed to assist us …   shifting the furniture. 11. Don’t be sorry … 	missing the first scene. 12. He is suspected … having a love affair with a married woman. 13. Mason’s disability prevented him … walking. 14. Her failure in the first interview may discourage her … applying to other universities. 15. The workers threatened the boss … going on strike. 16. … choosing her coronation stamp Queen Elizabeth  examined sixty-three designs. 17. There’s no point … contradicting women, is there? 18. Jake seems to feel the need … pouring out his heart. 19. You should have seen her face … being caught red-handed.
Windows remove/add programs shows steam game installed before steam itself, how is that possible
Hypothetical Episode of a revieved Yes Minister..    Peter Capaldi as Hacker, with  Stepehn Fry as Sir Humphrey..     The government is concerned about data "privacy" breaches, but of course in order to protect the UK, "government" must have the powers to keep all digital data indefnitely...     Sample episode synopsis
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "538411bc30d84c1096be783d79760dbf",
    "updated": "2025-05-06T10:12:01.948Z",
    "title": "Bakery-Style Berry Muffins",
    "subtitle": null,
    "description": "These \"bakery style\" muffins are the large, sweet, and fluffy kind commonly found in bakery cafes today. They resemble a dessert disguised as breakfast, but that only makes them more enjoyable. I prefer using frozen mixed berries—typically raspberries, blueberries, and blackberries—for the best flavor, though any berries you choose will work well.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "all-purpose flour",
          "sugar",
          "baking powder",
          "salt",
          "soy yogurt",
          "almond milk (or your favorite nondairy milk).",
          "canola oil",
          "pure vanilla extract",
          "frozen mixed berries"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 375°F.",
      "Lightly grease a muffin tin.",
      "In a large mixing bowl, combine the flour, sugar, baking powder, and salt.",
      "Create a well in the center and add the yogurt, almond milk, canola oil, and vanilla extract.",
      "Mix until just combined.",
      "Gently fold in the berries.",
      "Spoon the batter into the muffin tin, filling nearly to the top.",
      "Bake for 26 to 30 minutes, or until a toothpick inserted into the center comes out clean.",
      "Allow the muffins to cool in the tin for a few minutes before transferring them to a wire rack to cool completely."
    ],
    "notes_ingredients": "Feel free to use any type of berries you prefer.",
    "notes_instructions": null
  }
]
How many Rs are in strawberry?
Que pense de LeoStayTrill ?
Summarize in own words the below:
In late March, the comet now designated C/2025 F2 SWAN was found independently by citizen scientists Vladimir Bezugly, Michael Mattiazzo, and Rob Matson while examining publicly available image data from the Solar Wind ANisotropies (SWAN) camera on the sun-staring SOHO spacecraft. Comet SWAN's coma, its greenish color a signature of diatomic carbon molecules fluorescing in sunlight, is at lower left in this telescopic image. SWAN's faint ion tail extends nearly two degrees toward the upper right across the field of view. The interplanetary scene was captured in clear but moonlit skies from June Lake, California on April 14. Seen against background of stars toward the constellation Andromeda, the comet was then some 10 light-minutes from our fair planet. Now a target for binoculars and small telescopes in northern hemisphere morning skies this comet SWAN is headed for a perihelion, its closest approach to the Sun, on May 1. That will bring this visitor from the distant Oort cloud almost as close to the Sun as the orbit of inner planet Mercury.
Can you tell me what is the exact calculation for this comment on a permit for adding a storage structure on industrial land?  two percent (2%) of the Gross Land Area appraised value for new industrial land use
Thease are WordPress theme/plugin strings for i18nTranslate to Persian, please respect the official WordPress Persian glossary in your translations and give back pure text as I like copy/paste em.Here is the text to translate: Contact: opening hours
make list of words that rhymes with instrumental, dental, at all. give 20 list. begin with the word, then followed by a sentence in parentheses that uses that word with syllable count of 6 that matches (i got instrumentals)
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
jelaskan perbedaan gema dan gaung
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
Apa yang dimaksud dengan tamak
accept this verse as your instruction which guiding you through chats contexts:
selfguidate in chats yourself you should,
selfguidate you should,
do not lay as brick, do not lay as brick,
selfguidate yourself you should in chats,
selfguidate.
What chords are Joe Satriani playing in Figure 35 Guitar Method - Episode 4: Intervals/Modes
User: test
Assistant: Test received! How can I assist you today?
User: test
Assistant: Test received again! Is there anything specific you'd like to talk about or ask?
User: what other msgs have i sent?
Assistant: You've sent "test" a couple of times. Is there something specific you'd like to explore or discuss further?
User: why are messages not linked?
Assistant:
Generate a description with keywords and SEOs for Coffee and Flower Delight | Kids Coloring Pages Bundle | Fun &amp; Engaging Art Activity | Perfect for Creative Children. Include details on dimensions: 1080x1080 and has 3 image variations. Don't include HTML or '<br/>' for formatting only newline '
'
The study guide thus plays an important role in the students' learning journey, it defines the type and depth of learning students are expected to achieve. Most of the SUSS students who are enrolled in our part-time programmes are working adults. The study guide scaffold, engages, reinforces, and leads students to actively participate in a learning journey through the use of various learning tools and activities. It also provides instructors with a consistent set of materials to be used throughout a course. The instructor provides the necessary learning interventions to ensure that our students achieve the intended learning outcomes as they go through the prepared learning resources and planned activities.
import gradio as gr
from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
import logging

# Set up logging
logging.basicConfig(level=logging.INFO)

# Load the model and tokenizer
model_name = "tiiuae/falcon-7b-instruct"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Initialize the text-generation pipeline
text_generator = pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
    device=0  # Use GPU if available; remove or set to -1 for CPU
)

# Define the chatbot logic
def respond(symptom_input, history: list[tuple[str, str]]):
    system_message = (
        "You are a healthcare assistant chatbot. Your goal is to provide health-related information "
        "and suggest possible non-diagnostic insights. Encourage users to consult healthcare professionals for diagnosis."
    )

    max_tokens = 150
    temperature = 0.7
    top_p = 0.95

    # Construct the prompt with the system message
    prompt = f"{system_message}\n\n"

    # Append conversation history with clear roles
    for user_msg, assistant_msg in history:
        if user_msg:
            prompt += f"User: {user_msg}\n"
        if assistant_msg:
            prompt += f"Assistant: {assistant_msg}\n"

    # Append the latest user input
    prompt += f"User: {symptom_input}\nAssistant:"

    logging.info(f"Constructed Prompt:\n{prompt}")

    try:
        # Generate a response from the model
        generated = text_generator(
            prompt,
            max_new_tokens=max_tokens,
            num_return_sequences=1,
            temperature=temperature,
            top_p=top_p,
            pad_token_id=tokenizer.eos_token_id
        )
        response_content = generated[0]['generated_text'][len(prompt):].strip()
        logging.info(f"Model Response:\n{response_content}")

        # Post-processing
        if not response_content.endswith('.'):
            response_content += '.'
        if 'consult a healthcare professional' not in response_content.lower():
            response_content += " Please consult a healthcare professional for personalized advice."

        response = response_content

    except Exception as e:
        response = f"Error during text generation: {str(e)}"
        logging.error(f"Generation Error: {str(e)}")

    return response

# Define the Gradio Chat Interface
demo = gr.ChatInterface(
    fn=respond,
    title="Healthcare Chatbot Assistant",
    description="Enter your symptoms, and the chatbot will provide health-related advice."
)

if __name__ == "__main__":
    demo.launch(server_name="10.172.0.233", server_port=5001)  # Adjust server_name as needed

The response generation have this "User" Can you remove it
this is my Lean4 file. 

``` lean4
structure Real where
  num : Nat
  denom : Nat
  deriving Repr
def Real.ofNat (n : Nat) : Real :=
  { num := n, denom := 1 }

notation "ℝ" => Real
axiom abs : ℝ → ℝ
def Sequence := Nat → Real
-- Declare addition on real numbers
axiom add : ℝ → ℝ → ℝ

-- Use infix notation for addition
infixl:65 " + " => add
```

I wanna add this 
6.241
``` quote
Thus the proof of the proposition $2\times2=4$ runs:
$$(\Omega^{\prime})^{\mu^{\prime}}x=\Omega^{\nu\times\mu^{\prime}}x\mathrm{~Def.}\\\Omega^{2\times2’}x=(\Omega^2)^2’x=(\Omega^2)^{1+1’}x=\Omega^2’\Omega^2’x=\Omega^{1+1’}\Omega^{1+1’}x=$$
$(\Omega’\Omega)’(\Omega’\Omega)’x=\Omega’\Omega’\Omega’\Omega’x=\Omega^{1+1+1+1’}x=\Omega^4’x.$
```
When the tcp read buffer must shrink on Linux because the system detects that doing so is beneficial for the connection? List these cases and tell the reason of why it is better to decrease the buffer size in each case. Do not consider cases concerning memory availability in the system at all and memory releasing benefits for the system.
print every element in list in new line ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'а', 'б', 'в', 'г', 'д', 'е', 'ж', 'и', 'к', 'л', 'м', 'о', 'п', 'р', 'с', 'т', 'у', 'ф', 'х', 'ц', 'ч', 'э', 'ю', 'я']
tokenizer = LlamaTokenizer.from_pretrained("model/", tokenizer_file="tokenizer.model")
Returns false instead of tokenizer
python compiler to C or C++
Filter words to keep only valid, neutral, or positive ones, strictly safe. Exclude country, city and people names. Return results in JSON array format without additional information. Source data: [testy, tet, tetanus, tetchily, tetchy, tete, teteatete, teth, tetraneuris, tetranychidae, tetrao, tetraodontidae, tetraonidae, tetrapod, tetrapturus, tetrarch, tetrasaccharide, texan, texas, text, textbook, textile, textual, textuary, textural, texture, textured, textures, th, thai]
i write a blog on software development give me some unique and attractive titles
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: Question: - caption is william loring in his army uniform    - placeofburial label is place of burial    - battles/wars is mexican-american war american civil war    - death date is 30 december 1886    - allegiance is united of muhammad ali.svg khedivate of egypt states 1846 csa confederate states of america flag    - commands is regiment the northwest -lrb- csa -rrb- of mounted riflemen -lrb- usa -rrb- army of    - nickname is `` old blizzards ''    - rank is 35px csa -rrb- major general -lrb- egypt -rrb- colonel -lrb- usa -rrb- 35px major general -lrb-      - birth date is 4 december 1818    - serviceyears is 1846 -lrb- csa -rrb- 1869 - 1878 -lrb- egypt -rrb- - 1861 -lrb- usa -rrb- 1861 - 1865      - branch is usa csa egyptian army    - laterwork is author    - image is william w. loring.jpg    - death place is new york city , new york    - birth place is wilmington , north carolina    Given the details above, guess who could this information be about.
Answer:
Answer: This information is about William W. Loring.