agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Create a long detailed text about actor Leslie Nielsen 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: [Hollywood Debut & Romantic Comedy Success] Summary: [In 1956, Nielsen made his debut in the film industry with The Vagabond King, leading to a role in the sci-fi film Forbidden Planet and earning a term contract with Metro-Goldwyn-Mayer. Nielsen starred opposite Debbie Reynolds in the romantic comedy Tammy and the Bachelor, showcasing his versatility as both a dramatic actor and a romantic lead.]

        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.}
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.
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
Add tashkeel.
 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:
ما شاء الله بارك الله فيك يا عائشه ولكن يا بنيتي تكرما لو تنتبهين الى الحركات وجزاك الله خيرا
Assistant:
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":"Roubz cakes Homemade moroccan cuisine of today","ingredients":"For the recipe : very fine semolina,flour,dry baker's yeast,water,salt","instructions":"In a large bowl or in the bowl of a mixer, add the ingredients one by one.\nKnead at medium speed for 5 minutes to mix everything well.\nIt is also possible to knead the dough by hand, but it will take a bit more time!\nLet the dough rest for 15 minutes at room temperature.\nForm cakes of about 300 g and 15 cm in diameter.\nCoat them with fine semolina.\nCover them with a cloth and let them rest for an additional hour.\nPreheat the oven to 220°C.\nFlatten the cakes with fine semolina to widen them, then bake for 30 minutes until they are golden.\nServe them as an accompaniment to a Moroccan dish.","region":"MA"}
Language: English. Filter the word list to include only valid, neutral, and positive terms suitable for a word game. Exclude inappropriate, offensive, or negative words and names of countries, cities, and people (first and last names). Correct any spelling errors and convert all words to lowercase. Return the results in a JSON array containing only the filtered words. Source data: [cerise, cerium, cerni, cernit, cernuous, cero, cerograph, cerography, ceromancy, cerous, cert, certa, certain, certainly, certainty, certes, certifiable, certificate, certificated, certification, certificatory, certified, certify, certitude, cerulean, cerulescent, cerumen, ceruminous, ceruse, cerussite]
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.
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:
رايحه فين كده على الصبح رايح الشغل
Assistant:
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 :
    Tu dois renvoyer 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":"Big mama's classic potato salad ","ingredients":"For the Recipe : yukon gold potatoes,kosher salt,hard-boiled eggs, chopped,whipped dressing (such as miracle whip),finely diced red onion,sweet pickles, drained and chopped,sweet pickle relish,yellow mustard,celery seed,ground pepper,sweet paprika","instructions":"1. Peel and cut the potatoes into 1-inch chunks. Place them in a large pot and add enough water to cover them by 2 inches. Mix in a few generous pinches of salt. Bring to a boil, then reduce the heat to medium. Simmer until the potatoes are fork-tender, about 20 minutes, then drain. Spread the cooked potatoes on a baking sheet to cool.\n2. In a large bowl, combine the eggs, whipped dressing, onion, pickles, relish, mustard, celery seed, and pepper until thoroughly mixed. Gently fold in the cooled potatoes, being careful not to overmix. Lightly sprinkle with paprika for added color.","region":"WNA"}
User
Write a resume for a role in it delivery correspondence
script about wfsu-tv
What is the NAACP Image Awards?
give me a response to ```My wish is for us to reach our destination and accomplish our goals. I want us to stay strong and never give up, and with the right tools and attitude, I'm sure we can make our dreams a reality. Let's keep pushing forward and make our wishes come true.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
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:
4 eggs,100 g raw or cooked beetroot,300 ml white vinegar,400 ml water,1 tablespoon coriander seeds,1 teaspoon sugar,1 teaspoon salt
Provide the written-out form of the input text in Vietnamese. If the text is fully not Vietnamese, return empty. 
Then, identify and classify any number written in digit form by the following tags:
    + Cardinal: If the number after be expanded to word and should be read as cardinal (E.g. 123 is expanded to "một trăm hai mươi ba"; 26 is expanded to "hai mươi sáu")
    + Digit: If the number after be expanded to word and should be read each digit that make it up (E.g. 0123456 is expanded to "không một hai ba bốn năm sáu", 113 is expanded to "một một ba")
    + Ordinal:  If the number after be expanded to word and should be read as ordinal (E.g. 1 is expanded to "nhất", 2 is expanded to "nhì", 4 is expanded to "tư")

The number can be alone as a single word or a part of a word (E.g. "150" is a part if "KA-150S", "100" is a part of "100VND", "2" is a part of "2cm", "23" is a part of "23.1").

Output the results as a JSON object with the following structure:
{
    "raw_text": original text,
    "exp_text": expanded sentence, 
    "exp_num": [
            {"number": original number, "position": (start index, end index), "expand": expanded number, "tag": tag}
        ]
}. 

Example input: {"text": "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút"}. 
Expected output (do not add json word, do not add line continuation character): 
{
    'raw_text': "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút",
    'exp_text': 'ngày một tháng sáu, bão nhiệt đới: tốc độ gió từ ba mươi chín đến bảy mươi ba mét một phút', 
    'exp_num': [
        {"number": "4", "position": (4, 5), "expand": "tư", "tag": "ordinal"}, 
        {"number": "1", "position": (12, 13), "expand": "một", "tag": "digit"}, 
        {"number": "6", "position": (14, 15), "expand": "sáu", "tag": "digit"}, 
        {"number": "39", "position": (44, 46), "expand": "ba mươi chín", "tag": "cardinal"}, 
        {"number": "73", "position": (49, 51), "expand": "bảy mươi ba", "tag": "cardianl"}, 
        {"number": "1", "position": (53, 54), "expand": "một", "tag": "digit"}, 
    ]
}

Input: 'text': Từ 16 giờ 30 đến
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>Администратор презентаций

Задачи:
- Информировать клиентов по телефону о презентациях
- Консультировать клиентов о новинках и акциях
- Вести клиентскую базу в CRM-системе

Требования:
- ПК, гарнитура, качественный интернет
- Желание работать, активность и инициатива

Условия:
- Средний доход от 50.000 рублей на старте
- Удаленная работа без продаж
- Оплачиваемая стажировка и доступ к онлайн-академии

Откликнуться: ссылка<<<

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:
>>>🌐 title
🏢 если recruiting company
📍 Москва, Россия
🔹 Информировать клиентов о презентациях, консультировать о новинках и акциях, вести клиентскую базу в CRM-системе.
💰 средний доход 50.000 рублей
📞 ссылка для отклика<<<
Assistant:
Consider the dataset given. Refer to the train and test files.

This is a multi-label dataset with sparse features. In both train and test files, the first line
contains three numbers that denote the number of data points, feature dimensionality, and
number of labels in the dataset respectively.
Each line from line-2 onwards corresponds to a data point. At the beginning of each line, the
comma-separated indices denote the label indices of that data point, followed by a space,
followed by the indices of the feature vector with non-zero feature values and the corresponding
values (separated by a ‘:’).

Example of 1st 2 lines of eurlex_train.txt:
15539 5000 3993
446,521,1149,1249,1265,1482 0:0.084556 1:0.138594 2:0.094304 3:0.195764 4:0.612552 5:0.106491 6:0.137765 7:0.145839 8:0.304610 10:0.465152 11:0.182930 12:0.193397 19:2.174160 20:0.728684 24:0.401482 26:0.432680 27:2.667136 29:0.493819 32:0.573815 33:0.599316 34:0.601095 38:1.235996 42:0.664670 44:0.686222 60:0.798616 64:0.805275 74:0.866743 75:0.869891 90:0.956603 91:0.957650 108:3.150229 115:2.177111 141:1.209520 163:2.573456 174:2.645868 190:1.374023 291:1.677025 300:3.382515 323:1.752954 425:5.926553 450:2.026049 484:2.081569 490:2.087109 583:2.259480 652:2.376026 684:4.861286 766:2.563801 853:2.686631 928:5.575382 1173:6.221640 1184:3.122486 1269:9.684842 4277:5.232373

parse the inputs properly. Note that both labels and feature values are present in the same line. First there are comma seperated labels, then there is a space followed by space seperated feature:value pairs

Similarly we have eurlex_test.txt

Task: Learn a Bayes net on the features and use it for predicting the label with the maximum
confidence score. Use average “Precision@1” on the test set as the evaluation metric. Note that
there may be one or more labels in the ground-truth label-set of a given test data point.
Your program should take the train and test files as input, and display average precision@1.

The program should take these txt files as input while running code through terminal(an example is shown below):
python3 bayesnet.py eurlex_train eurlex_test
Example output:
0.8723
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've been feeling really anxious lately, what can I do to alleviate it?
Nursing care plan for risk for placenta previa
assume long term capital gains tax. SPY is at 600, in order to sell and repurchase at a lower price, what is the minimium SPY would need to be repurchased at to break even after paying the tax
Assistant: Hello! How are 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.
تصحيح الأخطاء باستخدام قواعد الإملاء القياسية للهجات المحلية.
 اكتب لي النص باللهجة المصرية، وضع علامات الترقيم المناسبة. (ar-EG).
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:
بتحبيني
Assistant:
Исправь ошибку :  override fun afterTextChanged(s: Editable) {
                    if (changeable) {
                        lengthViewModel.from(i, BigDecimal(if (s != "") s.toString()  ""))
                    }
                    current = i
                }
APPLICATION FOR FARM WORKER I HAVE WORKED AS A VEGETABLE AND FRUIT PICKER AS IN PICTURES AND NOW LOOKING FOR NEW CHALLENGES AND EXPEREINCES I CAN TAKE CARE FOR YOUR COWS AND DO ALL OTHER FARM DUTIES
create a file called hi.py that prints "hi"
PROMPT: create a file called hi.py that prints "hi"
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: Our success is highly dependent on our planning and distribution infrastructure, which includes the ordering, transportation, and distribution of products to our stores and the ability of suppliers to meet distribution requirements. We need to continue to identify and improve our processes and supply chain and that our distribution infrastructure and supply chain keep pace with our anticipated growth and increased number of stores. The cost of these enhanced processes could be significant and any failure to maintain, grow, or improve them could adversely affect our business, financial condition, and operating results. Due to our rapid expansion, we continue to add distribution centers as needed to support our operations. Increasing the size of our distribution centers and adding additional distribution centers may decrease the efficiency of our distribution costs.
Assistant:
make me a universal easy to use AI architecture for chatbots thats custom to train like it can do almost any amount like 500 billion parameters or even 1 trillion in python.
What happen during sleep? Do we experience sleep or having non experience is sleep?