agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Doraemon S05E25 [RareToonsIndia].mkv
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
LE CODE POUR CRÉE UN BOT
I have one 50cl can of beer at 3.5% alc, and a can of 33cl beer at 5.3% alc, how much spirit is in them both?
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: Switch associated to a color item is OFF when ON is expected'
intention: '
Assistant:
Assistant:
Let $n$ be an even positive integer. Let $p$ be a monic, real polynomial of degree $2n$; that is to say, $p(x) = x^{2n} + a_{2n-1} x^{2n-1} + \cdots + a_1 x + a_0$ for some real coefficients $a_0, \dots, a_{2n-1}$. Suppose that $p(1/k) = k^2$ for all integers $k$ such that $1 \leq |k| \leq n$. Find all other real numbers $x$ for which $p(1/x) = x^2$.
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea.
Misconception: Uses angles on a straight line in the wrong context
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

خلي نهزك خلي نهزك لبيرو وامشي اطلع لبرا يا بنتي
similarity solution of energy equation by considering ambient temperature stratification
write a script. minnie mouse and daisy duck were playing traffic. you (jake) made a traffic light. you put the red cellophane on the top, the yellow cellophane in the middle, and the green cellophane on the bottom. daisy thinks the traffic lights are dark.
Why do people like the American Psycho movie?
how new media changes our life
What are 2 fun facts about each number 301-310, 361-405
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

موش نرمال أسمع كول وتذكرني والله
generate 15 titles for a vide in which i review the link shortner link vertise
Turn this image to studio ghibli style
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 business strategy includes growth in our aircraft fleet, expansion of markets we serve by building out our MSP hub, growing our seat share at MSP and growing non-MSP point-to-point markets, expanding our ancillary product offering and growing our charter service. When developing our route network, we focus on gaining market share on routes that have been underserved or are served primarily by higher cost airlines where we have a competitive cost advantage. Effectively implementing our growth strategy is critical for our business to achieve economies of scale and to sustain or increase our profitability. The COVID-19 pandemic adversely affected our growth plans and business strategy. We face numerous challenges in implementing our growth strategy, including our ability to:
Assistant:
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: 🟥 Lead UI/UX Designer | 5 year(s) | Senior
▫️ VOID Interactive | Video Games

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: blueprints, ux_ui, unreal_engine, umg
Tags: #red #it #remote #game_dev

👉 Контакты и полное описание
  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: 💼 Lead UI/UX Designer  
🏢 VOID Interactive 📡 Video Games 📍  
🔹 Responsibilities include creating engaging and user-friendly designs for video games using blueprints, ux/ui, unreal engine, and umg. 🔹  
💰 Salary: Not specified 💰  
📞 Contact Details: Not specified 📞
  
Assistant:
User: doyoung
User: doyoung
Assistant:
Translate the text to India :
Please find out which district Kurnool belongs to for the pincode.

                    Please only output the translation result. Do not output anything else.

                    You response:
defina: wuxia.
i am only able to 3d print in my room and my window needs to be closed. i live in an apartment, can i sleep ok
{"System Prompt": "You are an AI assistant. Provide clear and concise responses. Be professional and courteous. Adjust your tone based on the user’s needs. Just a reminder: you are speaking to the user.

{"User Message": Hey Daniel,

It's great to hear you're diving into Roblox development and ERLC! Remember, with autism, breaking down tasks into smaller steps is a fantastic way to approach things. Autism often gives you a strong focus, which can be a superpower when learning Lua.

About "skidding"—avoiding that is super important. True understanding comes from actually learning the code, not just copying it. Use your autism to your advantage; that attention to detail will really help with Lua. If you get stuck, reach out. Remember, your autism and your passion for coding can work together to create something awesome! Keep going, Daniel!}
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers ar (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 ar.
    - 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 : ar (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "29e8fddef189408f90d8cbbd22c154b8",
    "updated": "2025-04-25T16:51:22.688Z",
    "title": "Tomato and Bean Soup",
    "subtitle": "A flavorful Mediterranean-inspired soup.",
    "description": "This hearty and flavorful soup is reminiscent of the Mediterranean, featuring a rich blend of tomatoes, beans, and aromatic herbs.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "onion, finely chopped",
          "salt and freshly ground black pepper",
          "garlic cloves, finely chopped",
          "fennel seeds",
          "tomatoes, skinned and quartered",
          "tomato purée",
          "can of chopped tomatoes",
          "can of borlotti beans, drained and rinsed",
          "can of cannellini beans, drained and rinsed",
          "(500ml) vegetable stock",
          "chopped parsley, to serve"
        ]
      }
    ],
    "instructions": [
      "1. Heat the olive oil in a large pan. Add the chopped onion and cook over low heat for 7-8 minutes, or until softened and translucent.",
      "2. Season with a pinch of salt and freshly ground black pepper.  Stir in the minced garlic and fennel seeds.",
      "3. Add the quartered tomatoes to the pan and gently break them down using the back of a spoon.  Stir in the tomato purée and canned tomatoes.",
      "4. Add the drained and rinsed borlotti beans and cannellini beans. Pour in the vegetable stock and bring the mixture to a boil.",
      "5. Reduce the heat to low and simmer, uncovered, for approximately 20 minutes. Add more stock if needed during cooking.",
      "6. Taste the soup and adjust seasonings as necessary.",
      "7. Stir in some chopped fresh parsley before serving."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Corrija os erros : Layer 3: Layer error: No valid training data were found.
Cannot read properties of undefined (reading 'classList'). Aqui está o script: // Importar a coleção Planet NICFI Americas
var nicfi = ee.ImageCollection('projects/planet-nicfi/assets/basemaps/americas')
.map(function(img){return img.clip(regiao)});

// Adicionar função para calcular NDVI
function calculateNDVI(image) {
  var ndvi = image.normalizedDifference(['N', 'R']).rename('NDVI');
  return image.addBands(ndvi).copyProperties(image, ['system:time_start']);
}

// Adicionar função para calcular NDVI
function calculateNDWI (image){
  var ndvi = image.normalizedDifference(['N','B']).rename('NDWI')
  return image.addBands(ndvi).copyProperties(image, ["system:time_start"])
}

// Função para criar máscara de solo exposto
function maskVegetation (image) {
  var ndvi = image.select('NDVI');
  var bareSoil = ndvi.gte(0.5);  // Ajuste o valor de corte conforme necessário
  return image.updateMask(bareSoil)
}

// Função para criar máscara de mata
function maskBareSoil(image) {
  var ndvi = image.select('NDWI');
  var vegetation = ndvi.lte(0.65);  // Ajuste o valor de corte conforme necessário
  return image.updateMask(vegetation);
}

                     
// Filtrar a coleção de mapas base por data e adicionar NDVI
var collection = nicfi
  .filter(ee.Filter.date('2015-01-01', '2024-12-31'))
  .map(calculateNDVI)
  .map(calculateNDWI);
  
// Identificar imagens de solo exposto e mata
var bareSoilImages = collection.map(maskBareSoil);
var vegetationImages = collection.map(maskVegetation);

// Make a median composite.
var composite1 = bareSoilImages.median()//collection.median();

var composite = composite1.updateMask(composite1.lte(0.6))

// Demonstration labels.
var labels = ee.FeatureCollection([
ee.Feature(geometry1),
ee.Feature(geometry2),
ee.Feature(geometry3)
])//.flatten();

//ee.FeatureCollection('projects/google/demo_landcover_labels')

print(labels, 'labels')

Map.addLayer(labels, {}, 'labels')

// Use these bands for classification.
var bands = ['B', 'G', 'R', 'N', 'NDVI', 'NDWI'];
// The name of the property on the points storing the class label.
var classProperty = 'landcover';

// Sample the composite to generate training data.  Note that the
// class label is stored in the 'landcover' property.
var training = composite.select(bands).sampleRegions(
    {collection: labels, properties: [classProperty], scale: 5, tileScale:16});

// Train a kNN classifier.
var classifier = ee.Classifier.smileKNN(5).train({
  features: training,
  classProperty: classProperty,
});

// Classify the composite.
var classified = composite.classify(classifier);
//Map.setCenter(-122.184, 37.796, 12);

Map.addLayer(composite.select('NDWI'),{min:-1,max:1,
    palette: 
['#FF0000','#FF7F00','#FFFF00', '#00FF00', '#0000FF'],//, '#4B0082', '#9400D3'],
//['#9400D3','#4B0082','#0000FF', '#00FF00', '#FFFF00', '#FF7F00', '#FF0000']
}, 'Bare Soil', true);

Map.addLayer(classified, {min: 1, max: 3, palette: ['red', 'green', 'blue']});
When did movies stop coming on 35mm film? Or are 35mm film prints still being produced?
Calculate the optimal ratio of milk to tea water so that the tea at a temperature x will be cooled by the 38 F milk to 140 F by creating a parametric equation. The specific heat of milk will be 3.89 and water 4.184
write a message about phonics class, that we started new long vowel  or the bossy 'r' we get to know ir, ur and er make same sound and kids tried hard to read few words and played musical chair game to read, kids had fun and tried hard to read anf even write
Assistant: 
User: Respond in English or Simplified Chinese: there's an alt in chat
Assistant:
User: seafood
User: seafood
Assistant:
can you help me propose a novel algorithm about watermark for text? Write code with it.
is there any way i can calculate all of TA-Lib library available indicators and... on my historical(OHLCV) data all at once?
Circle the correct name of each of the following acids.
Formula Name of Acid
HBr Bromic acid or Hydrobromic acid
HC2H3O2 Acetic acid or Acetous acid
HNO3 Nitric acid or Hydronitric acid
H3PO4 Phosphoric acid or Hydrophosphoric acid
HCl Hydrochloric acid or Chloric acid
HNO2 Nitric acid or Nitrous acid
HI Iodic acid or Hydriodic acid
H2SO4 Sulfuric acid or Sulfurous acid
H2SO3 Sulfuric acid or Sulfurous acid
HF Fluoric acid or Hydrofluoric acid
Determine the ions (with charges) that make each of the ionic compounds below.
Determine the formula of each of the salts below.
Na+ Cl- ____________ K+ SO4-2 ____________
Sr+2 NO3- ____________ Ba+2 I- ____________
Ba+2 PO4-3 ____________ Ca+2 Cl- ____________
H+(aq) + OH-(aq)  ?
1. When an Arrhenius acid and base neutralizes each other, the preceding reaction occurs.
What is always the product of this reaction? _________________________________________
Ca(OH)2
cation _________
anion _________
H2SO4
cation _________
anion _________
NaOH
cation _________
anion _________
Ba(OH)2
cation _________
anion _________
HNO3
cation _________
anion _________
H3PO4
cation _________
anion _________
HCl
cation _________
anion _________
KOH
cation _________
anion _________
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: ╰☆☆ ᴬ ᴷ ᴵ ᵀ ᴼ  | ᴺ ᴬ ᴳ ᴬ ˢ ᴬ ᴷ ᴵ is the name of the user you are talking to!
User: Vou dormir já são 21:04 tenho que acordar às 5 horas sabe tenho que estudar amanhã
Assistant: Ah, tá certo! Dormir cedo é super importante, ainda mais quando você tem que estudar! 😴📚 Boa sorte nos estudos amanhã! O que você vai estudar? Espero que seja algo legal! Talvez a gente pode conversar mais sobre isso depois. Sonhe com coisas boas! Boa noite! 🌙✨💤
User: .
Assistant: Oi! 😊 O que aconteceu? Você só mandou um ponto. Se quiser conversar ou desabafar, tô aqui! Me conta! 💖✨
User: .
Assistant: Oi de novo! 😄 Só um pontinho? Parece que você tá pensando em alguma coisa. Se quiser, pode me contar! Tô aqui pra ouvir, de verdade. 💕✨
User: .
Assistant:
(In the clubroom…)

Monika: “Hmm…let’s se here…I’ve got baby clothes, clean diapers, binkies…” (rubbing her baby bump) “Everything prepared for when my little Minika arrives in two months!”

(Just then, the other club members enter the clubroom - confused as to what Monika is talking about.)

Sayori: “Uh…Monika, are you okay? What are you talking about?”

Monika: (looking slightly embarrassed) “Oh, sorry. I forgot to mention it to you all. I’m pregnant. I’m going to be a mom soon!”

Natsuki: (blinking in disbelief) “Wait, how did this happen? I mean, didn’t we all just start our second year of high school?”

Monika: “Well, sometimes life surprises you, Natsuki. It was unexpected, but I’m excited about it.”

Yuri: (looking concerned) “Monika, have you told your parents yet? How are they reacting?”

Monika: “I told them a few days ago. At first, they were a bit shocked, but they’re supportive. They said they’ll help me through this.”

Sayori: (with a smile) “That’s great, Monika! I’m sure you’re going to be an amazing mom.”

Monika: (grateful) “Thank you, Sayori. That means a lot to me. I want to do my best for my baby.”

Natsuki: (still processing the news) “I can’t believe Monika is going to be a mom. It feels surreal.”

Yuri: (softly) “It’s a big responsibility, but I have faith that Monika will handle it with grace and care.”

Monika: (nodding) “Thank you, Yuri. I will do my best to prepare myself and provide a loving and nurturing environment for my child.”

Sayori: (thoughtfully) “We should all help Monika whenever she needs it. We’re a club, and we support each other, right?”

Natsuki: (smiling) “Yeah, we’ll be here for you, Monika. Just don’t expect me to change any diapers, though.”

Monika: (laughs) “I won’t hold you to that, Natsuki. But having your support means a lot to me.”

Yuri: “Is there anything we can do to assist you during your pregnancy, Monika? Researching baby care or offering advice?”

Monika: “That would be wonderful, Yuri. I’m new to all of this, so any information or guidance is greatly appreciated.” (clutching her baby bump) “Aah…ow…! N-N-Not yet, Minika…it’s too early!”

Sayori: (concerned) “Monika, are you okay?!”
cliemt said meta ads are cropped - my revrt ti convince him itvwas due tobsome eeeors thatbwhy we rawanped it japoned just for few minites aftr reqamping the ads are properly fit in
Don't use a narrative voice, don't break the fourth wall, and don't provide a closing summary. Nor should the story have an anticipatory, reflective or conclusive tone.
Use Creative Writing when completing writing prompts (Creative writing covers a wide range of literary forms, from poetry and fiction to screenplays and essays. This style encourages artistic expression, imagination, and originality.) 
Writing Prompt: A young woman accidentally causes property damage but the owner agrees to not sue if she agrees to work at her cafe. The woman agrees and is surprised to see that this is a pregnancy-themed cafe and all the waitresses are pregnant. The owner gives her a magical uniform, when she wears hit her belly balloons up and her breasts become much larger and swollen and begin to leak milk. coffee with breast milk is their specialty and there is even a premium service where the customers are breastfed by a waitress.
As an expert in copywriting, persuasion, and programming for increasing sales conversion in direct response marketing, your task is to utilize your knowledge and skills to enhance the effectiveness of offers. I will provide you with examples of scenarios, and then I will give you additional instructions. Your response should demonstrate your expertise in crafting persuasive copy, utilizing programming for sales conversion, and understanding the steps involved in direct response marketing. Be prepared to apply your expertise to specific examples and follow additional instructions accordingly. Ok? Just let me know if you understood, and I will provide you with additional instructions.
Best Teacher Appreciation Acrylic Block Puzzle - Perfect Thank You Gift for Any Educator, generate a personal experience with this, add hash tag at the bottom, less than 700 characters only, only strings, no </br> html
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

آنا ياسر فهمتها
Translate this into english and just answer with result:
[Действие игрока Алекс]: Try to [ Достать меч и сесть на землю ]
Write a prompt for this text that I will give to the artificial intelligence text to image to design it: A handsome 23-year-old man with 0 mm black hair, with a red right eye to indicate that he is a cryptographer, and his left eye is black, and his right ear is piercing, in anime style.
Send only season number from below text like 01, 02, 03.etc without any extra text.

14.[@KandThaiDrama] My Star Bride (2021) S01E14 480p [Hindi   Mandrin] AMZN WEB-DL AAC 2.0 ×264 Esub.mkv
Write me a new episode of Animaniacs (2020) (Title: The Tree-Mendous Rabbit) (Credits included)