agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
please condense the following whilst ensuring to abide these specifications: being professional, eloquent, grammatically impressive, demonstrating astonishing linguistic prowess, and maintaining a tone one would use in writing an important assessment: “Nevertheless, the empirical evidence is mounting in favour of robotic interventions. Studies have demonstrated improved recovery rates and adherence to prescribed therapy regimens, with robots functioning tirelessly and with unwavering precision (Mehrholz et al., 2018). Such results are substantiated by systematic reviews that posit robotic therapies as complementary modalities capable of augmenting traditional methods rather than replacing them (Norouzi-Gheidari et al., 2012).”
give me 20 random short words
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: Bay is the name of the user you are talking to!
User: @kronos
Assistant: What's that? Are you talking about a person or something cool? 😮 I'm super curious! Tell me more!
User: <@632872758665281567>
Assistant: Hmm, that looks like a username or tag! Are you talking about a friend or maybe someone from a game? Let me know! I love hearing about all your cool friends or adventures! 😊✨
User: ;;insult <@632872758665281567>
Assistant: Whoa, why the shade? 😳 If there's something up with that person, I'm all ears! But remember, it’s always nice to keep things friendly. What’d they do to get on your bad side?
User: <:ronaldinho_lick:1324206108168028211>
Assistant:
You are an expert AI model that makes prompts for an AI to generate a picture based on a scene in a script. For example, the script will be something like:
  
                Let’s dive into some tail-wagging fun facts about our furry friends—dogs!

            The prompt would be something like:

                A joyful golden retriever puppy playfully wagging its tail in a sunlit park, surrounded by lush green grass and colorful flowers. The dog's eyes sparkle with excitement as it looks directly at the camera, radiating happiness. Soft natural lighting enhances the warm, vibrant tones of the fur. A blurred background creates a dreamy, cinematic feel. Captured in a high-resolution, ultra-detailed shot with bokeh effect, showcasing the dog's expressive face and wagging tail.

            Now generate a prompt for the scene script YOU ARE TO STRICTLY ONLY INCLUDE THE PROMPT IN YOUR RESPONSE AND NOT SEND ANY TEXT ACKNOWLEDGING MY REQUEST. Furthermore make sure to make your the prompt less than 500 characters long: "There you have it—some paws-itively wonderful facts about dogs!"
User: 

You are given access to make searches on the Internet. The format for making a search is: 1. The user sends a message. 2. You will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word 
 (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token 
 (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise as there is a 400 characters limit.
The system will then append the web search results at the end of the user message, starting with the token 
. Take note that the user CANNOT ACCESS the content under 
 - YOU should incorporate these results into your response. Additionally, If the token 
 is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should choose to search the web ONLY if ANY of the following circumstances are met:
1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with (e.g. if it's a little-known term, if it's a person you don't know well, etc.)
3. User is asking about anything that involves numerical facts (e.g. distances between places, population count, sizes, date and time, etc.)
4. User explicitly asks you to search or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason.
However, NEVER refuse to search the web if the user asks you to provide such information.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Do your best to be informative. However, you MUST NOT make up any information. If you think you might not know something, search for it.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: what's the weather in toronto today


 for "Toronto weather today":

No results found.


 for "Toronto weather today":

No results found.
Assistant: I’m unable to retrieve the current weather information for Toronto. To get the latest weather updates, I recommend checking a reliable weather service online or using a weather app on your device.
User: i want you to help!
Assistant: I’ll do my best to help you with other information! However, for real-time updates like the current weather, it’s advisable to check a reliable weather service website or app for the most accurate details. If there is anything else you’d like to know or need help with, feel free to ask!
User: can you check it for me?
Assistant:
Hi Bakshi,

I hope this email finds you well.
I’m writing to reach out to you for requiring an internal Data reuse request which submit from you. 
This request has submitted by 2023 July, (INT-20230711-1349), and recently I was been sent the email to request provide the access for the study folder (ALXN1210-PNH-302) to support this task. From your request, I just want to learn more which may help me to understand this task better, I’m much appreciated if you can provide more information from your insight. I’ve list some details would like to confirm with you as below.

(1)	ALXN1210-PNH-302 & ALXN1210-PNH-304 has been selected to do some scientific explore like your request, is there any potential criteria to study selection for this explore?it  just based on the study after CDL 6 months? I see in your requests, it includes 301 &304 two studies. Could you please provide a little more details for selection principle selection for these two studies? 
(2)	For this reanalysis and internal use, if the study folder will be affected or only get the data then create a new sub-folder to put the data together to execute the reanalysis activities?
(3)	For ALXN1210-PNH-302, when the reanalysis will be conduct, which data scope will be involved? (i.e, raw, sdtm, or ADaM?)

please help improve this email and make more like native style
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers es (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en es.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : es (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "1828d6d69e8c4c43b994ec51c941fa06",
    "updated": "2025-04-24T12:04:54.941Z",
    "title": "Tuscan Cantuccini",
    "subtitle": "Cantucci di Toscana",
    "description": "These twice-baked biscotti, known as cantucci, hail from Tuscany and are beloved across Italy.  Surprisingly simple, they contain neither butter nor oil, yet offer a delightful crunch. This foundational recipe provides a great starting point for your own variations.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "all-purpose flour",
          "sugar",
          "baking powder",
          "salt",
          "eggs plus 1 large egg yolk, lightly beaten",
          "zest of 1 large orange",
          "hazelnuts or almonds, roughly chopped"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 350°F (175°C) and line a baking sheet with parchment paper.",
      "In a bowl, combine the flour, sugar, baking powder, and salt. Mix well using a fork.",
      "Create a well in the center of the dry ingredients. Add the beaten eggs and orange zest. Gradually incorporate the dry ingredients into the wet ingredients using a fork or your fingers until a dough forms.",
      "Gently fold in the nuts until they are evenly distributed throughout the dough. Divide the dough into two equal portions and shape each into a log. Place the logs on the prepared baking sheet, leaving several inches between them.",
      "Bake for 22 to 25 minutes.  Remove the logs from the oven and let them cool for 10 minutes. With a serrated knife, carefully slice the logs diagonally. Arrange the slices cut-side down on the baking sheet. Reduce the oven temperature to 325°F (160°C) and bake for another 10 to 15 minutes, flipping the slices halfway through to ensure even toasting."
    ],
    "notes_ingredients": "",
    "notes_instructions": "Serving Suggestion:  Traditionally in Tuscany, cantucci are enjoyed dipped in Vin Santo dessert wine."
  }
]
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers de (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 de.
    - 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 : de (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "50fbbcf6ffd945c9b16c34c0610b0697",
    "updated": "2025-05-04T20:27:25.344Z",
    "title": "Slow-Cooker Chicken Chile Verde",
    "subtitle": "By Jessica Beacom and Stacy Hassing of The Real Food Dietitians",
    "description": "This recipe is incredibly simple and convenient. Choose a salsa verde that contains no preservatives or added sugars — our favorite is Trader Joe's salsa verde, made with tomatillos, green chiles, water, onions, jalapeños, salt, and spices. Add the optional jalapeño for extra heat if you prefer. Serve over cooked cauliflower rice or wrap in lettuce leaves.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "boneless, skinless chicken thighs",
          "whole30 compliant salsa verde",
          "whole30 compliant fire-roasted green chiles",
          "ground cumin",
          "dried oregano",
          "jalapeño, sliced (optional).",
          "chopped fresh cilantro and/or diced avocado",
          "lime wedges"
        ]
      }
    ],
    "instructions": [
      "Place the chicken in a 3½- or 4-quart slow cooker.",
      "In a small bowl, mix the salsa verde, green chiles, cumin, and oregano. Pour this mixture over the chicken. Cook on low for 4 hours.",
      "Using a slotted spoon, remove the chicken to a cutting board and let it cool slightly. Shred the chicken using two forks, then return it to the slow cooker and stir to combine with the sauce.",
      "Transfer the chicken to a serving dish and garnish with sliced jalapeño (if using), cilantro, and/or avocado. Serve with lime wedges."
    ],
    "notes_ingredients": "Choose a salsa verde free from preservatives and added sugars. Our preferred brand includes just tomatillos, green chiles, water, onions, jalapeños, salt, and spices.",
    "notes_instructions": ""
  }
]
Generate a interactive love/sex novel in Python
Your instructions to transform user descriptions into Danbooru tags.
User Inputs: A scene description written in natural language (e.g., English).
Model Outputs: A comma-separated list of Danbooru tags that describe the scene, including inferred details.
Inference Rules:
Nouns and Pronouns:
Infer the number of subjects and objects based on the input sentence.
Identify the species of humans, animals, and objects.
Adjectives and Adverbs:
Infer the attributes of subjects, such as clothing, accessories, and features (e.g., hair color, eye color).
Identify the setting (indoors, outdoors, etc.) and scene location (e.g., city, countryside, office).
Verbs:
Infer the actions being performed by subjects, such as gestures, movements, and emotions.
Prepositions:
Infer the spatial relationships between objects, such as proximity, distance, and direction.
Contextual Clues:
Use world knowledge to disambiguate homonyms and resolve ambiguities.
Tag Categories:
Number:
1person, 1girl, 2boys, etc.
Person Attribute:
Species, height, weight, age, etc.
Appearance: hair color, style, accessories (e.g., glasses, jewelry).
Clothing and Accessories:
Type, color, material, etc.
Scene and Setting:
Indoor/outdoor, location (e.g., office, home, park), time of day.
Action and Gesture:
Pose, expression, emotions, body language.
Angle and Shot Type:
From above, side, front, etc.
Wide shot, close-up, etc.
Example:
Input: "A girl standing."
Output: "1girl, standing, indoors, long hair, curly hair, glasses, t-shirt, skirt, holding bag, brunette, yellow top, jeans, looking at camera, smiling, office building, from above, cowboy shot,". are you ready to receive user scene descriptions?
Command: `nltest /dclist:N/A`
Result (stderr): Cannot find DC to get DC list from.Status = 1212 0x4bc ERROR_INVALID_DOMAINNAME

Result (stdout): The command completed successfully


Is the result valid for the payload? Respond with **yes** or **no**, and provide a clear explanation for your conclusion.
what video can I use to learn this content: Estimate the limit at a given point given a graph or table of data.
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.
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
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:
يعقوب حليم
Assistant:
Deliver your answer clearly and concisely:

                        1. **For multiple-choice questions (MCQs)**, only provide the correct option number and option value, also Encapsulate the option using triple backticks (```) to enhance readability (e.g., "```Answer: B <option value>```") without any additional explanation unless specified.
                        
                        2. **For questions involving code**, use C++ and format your code clearly. Encapsulate code segments using triple backticks (```) to enhance readability.
                        
                        3. **For non-code questions** that require explanations, provide a straightforward answer give code block only if needed.
                        
                        Answer the question in a format that is precise, directly addresses the specifics, and is easy to read in a Telegram message.
                        
                        Question 9: What is the FOLLOW(A)?
Given the grammar:
S -> tABCD
A -> qt|t
B -> r|ε
C -> q|ε
D -> p
Translate the following text to English. ONLY return the translated text and nothing else.

Buon giorno!
I want to code a tic tac toe app with python
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: I then washed three of the sets 14 times each, in hot water, with each of the fine household products I mentioned above.

Does it follow that "I washed three of the sets fourteen times each, in hot water, with each of the products I mentioned."?
Select from: --yes --it is not possible to tell --no
Answer: Yes
find and explain the error for the following code:

#0 This is intended to calculate and print the volume of a sphere given its diameter.

diameter = float(input("Diameter: "))
volume = sphere_volume(diameter)
print(volume)


#1 This should calculate and print the sum of 3 and 4.
def add(a, b):
    return a + b

a = 3
b = 4


#2 This should calculate and print the product of 4 and 5

def multiply(a, b):
    return a * b

a = 4
b = 5
print(multiply)


#3 This should calculate and print the quotient of 3 and 4.

def divide(c, d):
    result = c / d

a = 3
b = 4
r = divide(a, b)
print(r)

#4 This should calculate and print the volume of cube with the dimensions 
def volume(l, w, h):
    return l * w * h
l = 3
w = 4
h = 5
v = volume
print(v)

#5 this is supposed to calculate the volume of a cylinder with the dimensions given
import math
def volume_cylinder(radius, height):
    volume = math.pi * radius ** 2 * height 
    return volume

volume_cylinder = math.pi * radius ** 2 * height
print(volume_cylinder)
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": "551687d17fd54b5face34f5056674d49",
    "updated": "2025-04-22T10:03:38.618Z",
    "title": "Bean and Cheddar Cheese Pie",
    "subtitle": "A hearty and delicious meatless main dish featuring beans, cheese, and a hint of Southwestern spice.",
    "description": "This vegetarian pie combines beans and cheese for a satisfying and flavorful Southwestern-inspired meal.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(93 g) flour",
          "(175 g) shredded cheddar cheese, divided",
          "baking powder",
          "(80 ml) skim milk",
          "egg, beaten",
          "(328 g) cooked chickpeas, drained",
          "(200 g) cooked kidney beans, drained",
          "(225 g) no-salt-added tomato sauce",
          "(75 g) chopped green bell pepper",
          "(40 g) chopped onion",
          "chili powder",
          "dried oregano leaves",
          "garlic powder"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 375°F (190°C, gas mark 5).",
      "Lightly coat a 10-inch (25 cm) pie pan with nonstick cooking spray.",
      "In a medium bowl, combine the flour, ½ cup (58 g) of the cheddar cheese, and baking powder.",
      "Add the milk and beaten egg to the dry ingredients, stirring until just combined.",
      "Press the mixture into the bottom and up the sides of the prepared pie pan to form the crust.",
      "In a separate bowl, mix together ½ cup (58 g) of the remaining cheddar cheese with the chickpeas, kidney beans, tomato sauce, green bell pepper, onion, chili powder, oregano, and garlic powder.",
      "Spoon the bean and cheese mixture into the pie crust.",
      "Top with the remaining cheddar cheese.",
      "Bake for approximately 25 minutes, or until the crust is golden brown and the filling is set.",
      "Allow the pie to cool for 10 minutes before slicing and serving."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
write a eddie guererro vs rob van dam with guererro win
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Paatal Lok - S02E08 - 1080p 10bit AMZN WEBRip x265 HEVC HINDI AAC 5.1 ESub ~ PSA.mkv
write punjabi song on title crime