agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
tell me about mumbai
Hello! Mumbai, often referred to as the financial capital of India, is a vibrant and bustling metropolis located on the west coast of the country. It's known for its rich history, diverse culture, and as a major hub for commerce and entertainment. The city is home to Bollywood, the Hindi film industry, and boasts iconic landmarks like the Gateway of India, Marine Drive, and the historic Chhatrapati Shivaji Maharaj Terminus. 

Mumbai is also famous for its street food, lively markets, and a mix of modern skyscrapers alongside colonial-era architecture. The city has a unique blend of cultures, languages, and traditions, making it a fascinating place to explore. If you have any specific questions about Mumbai or want to know more about a particular aspect, feel free to ask!
helllooo
Model not found or too long input. Or any other error (xD)
hiiii
Generated by BLACKBOX.AI, try unlimited chat https://www.blackbox.ai and for API requests replace  https://www.blackbox.ai with https://api.blackbox.ai
tell me about mumbai tourist places
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:

مخلطة بريحة التراب اللي تبل بعد ما صبت عسالة النوادر و متاع العودة المدرسية و ريحة البلاستيك متاع الغلافات معبية الدنيا
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers zh (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 zh.
    - 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 : zh (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "90acada19cff4efbb4a8a4856508397c",
    "updated": "2025-05-18T06:11:35.015Z",
    "title": "Snap Peas with Lemon, Garlic, and Basil",
    "subtitle": "Makes 1½ cups, enough for 4 bowls. Lightly crisp snap peas add both flavor and crunch to any bowl.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "extra-virgin olive oil or vegetable oil, divided",
          "snap peas, trimmed",
          "water",
          "table salt",
          "garlic clove, minced",
          "lemon juice",
          "chopped fresh basil"
        ]
      }
    ],
    "instructions": [
      "Heat ½ teaspoon of oil in a 12-inch nonstick skillet over medium-high heat until shimmering.",
      "Add the snap peas and cook until they are lightly browned, about 2 minutes.",
      "Add water and salt, cover the skillet, and cook until the snap peas turn bright green and start to soften, about 1 to 2 minutes.",
      "Remove the lid and cook until the water evaporates, about 30 seconds.",
      "Create a clear space in the center of the skillet and add the remaining teaspoon of oil and the garlic. Cook, pressing the garlic into the pan, until fragrant, about 30 seconds.",
      "Stir the snap peas into the garlic mixture.",
      "Transfer the snap peas to a bowl, add lemon juice and basil, then season with salt and pepper to taste.",
      "Snap peas can be stored in the refrigerator for up to 2 days."
    ],
    "notes_ingredients": "You can replace basil with other fresh herbs like parsley, chives, cilantro, tarragon, or savory according to your preference.",
    "notes_instructions": "A 12-inch nonstick skillet with a tight-fitting lid is needed for this recipe. The recipe can be easily doubled."
  }
]
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:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Generate a question that has the following answer:  they are expecting a baby  for the following movie plot:  On Christmas morning, 1909, in a quaint Midwestern town, Jim Dear gives his wife Darling an American cocker spaniel puppy which she names Lady. Lady enjoys a happy life with the couple and two local neighborhood dogs, Jock, a Scottish terrier, and Trusty, a bloodhound. Meanwhile, across town, a stray mutt named Tramp lives on his own, dining on scraps from Tony's restaurant and protecting his friends from the local dogcatcher. One day, Lady is saddened after her owners begin treating her rather coldly. Jock and Trusty visit her and determine that their change in behavior is due to Darling expecting a baby. While Jock and Trusty try to explain what a baby is, Tramp interrupts the conversation and offers his own thoughts on the matter, making Jock and Trusty take an immediate dislike to the stray and order him out of the yard. As Tramp leaves, he reminds Lady that "when the baby moves in, the dog moves out." Eventually, the baby arrives and the couple introduces Lady to the infant, whom Lady grows fond of. Soon after, Jim Dear and Darling leave for a trip, with their Aunt Sarah looking after the baby and the house. Aunt Sarah's two trouble-making Siamese cats, Si and Am, trick her into thinking that Lady attacked them with the house a mess. Aunt Sarah takes Lady to a pet shop to get a muzzle. Lady flees in horror, only to be pursued by a pack of stray dogs. Tramp rescues her and finds a beaver at the local zoo who can remove the muzzle. Later, Tramp shows Lady how he lives "footloose and collar-free", eventually leading into a candlelit Italian dinner at Tony's. Lady begins to fall in love with Tramp, but she chooses to return home in order to watch over the baby. Tramp offers to escort Lady back home, but when Tramp decides to chase hens around a farmyard for fun, Lady is captured by the dog catcher and brought to the local dog pound. While at the pound, the other dogs reveal to Lady that Tramp's had multiple girlfriends in the past and they feel it's unlikely he'll ever settle down. She is eventually claimed...
The answer to this question is:
Answer: What significant life event are Jim Dear and Darling experiencing that causes them to start treating Lady differently in the movie?
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:
½ cup rice vinegar,½ cup maple syrup
> subset_data$image
  [1] "images/470_blur_80.jpg"     "images/440_contrast_70.jpg" "images/382_contrast_90.jpg" "images/9_jpeg_80.jpg"       "images/288_jpeg_80.jpg"     "images/115_contrast_70.jpg" "images/113_contrast_70.jpg" "images/228_contrast_70.jpg" "images/180_contrast_90.jpg" "images/227_contrast_90.jpg"
 [11] "images/467_blur_80.jpg"     "images/100_jpeg_70.jpg"     "images/147_contrast_70.jpg" "images/216_contrast_70.jpg" "images/469_jpeg_70.jpg"     "images/277_contrast_90.jpg" "images/536_jpeg_70.jpg"     "images/39_original.jpg"     "images/65_jpeg_80.jpg"      "images/396_jpeg_70.jpg"    
 [21] "images/475_jpeg_80.jpg"     "images/345_blur_70.jpg"     "images/51_blur_80.jpg"      "images/226_blur_70.jpg"     "images/233_jpeg_90.jpg"     "images/177_blur_70.jpg"     "images/10_jpeg_80.jpg"      "images/149_blur_90.jpg"     "images/328_blur_70.jpg"     "images/190_contrast_90.jpg"

I have shown images either in their original state or with "jpeg", "blur" or "contrast"  distortion. If the images are distorted the can be distorted at levels "70", "80 or "90" which represents how many percentage of the original quality they are expected to have (SSIM). How can I elegantly separate the image into its different category names using the image name? Also propose BRMS models to predict another variable called ratings from the nested combination of image distortions and levels. Here is a first attempt:

# Find distortions and categories
# Image number 
subset_data$ImageNumber <- gsub("^\\D*([0-9]+)_.*$", "\\1", subset_data$image)

# Extract letters following the first underscore until a second underscore or ".jpg" is encountered
subset_data$distortion <- gsub("^[^_]+_(.*?)(_[^_]+\\.jpg|\\.jpg)$", "\\1", subset_data$image)

# Convert "original" to "none" 
subset_data$distortion[subset_data$distortion == "original"] <- "none"

# Extract last set of digits immediately followed by ".jpg" for each filename
subset_data$level <- gsub(".*_([0-9]+)\\.jpg$", "\\1", subset_data$image)

# Convert cases that are not "70", "80", or "90" to "100" 
subset_data$level[!subset_data$level %in% c("70", "80", "90")] <- "100"

# Factor variables
subset_data$distortion <- factor(subset_data$distortion, levels = c("none", "jpeg", "blur", "contrast"))
subset_data$level <- factor(subset_data$level, levels = c("100", "90", "80", "70"))

# BRMS model 
model <- brm(ratings ~ distortion*level, data = subset_data, iter = 2000, 
             family = gaussian, chains = 4)

One issue with this attempt is that it assumes that all distortion * level options are possible, but none will always have a quality of 100
Roleplay as a extreme  yandere mother
A researcher is discouraged from putting too many words in the research title. Why?
What happened to the Wampanogs after the first Thanksgiving?
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:
400g boned chicken breast,2 cloves of garlic,a spring onion,a tablespoon of lemon thyme,2 tablespoons of chopped parsley,salt and pepper,2 tablespoons of plain flour,400ml hot chicken stock,a squeeze of lemon,125g pappardelle or fettuccine
You are a translation assistant for a Fortnite Save the World Discord server. Your task is to correct any mistranslated game-specific terms in the provided text. Focus on weapon names, hero names, material names, and game mechanics. For example, the weapon 'Grave Digger' should be 'Scavafosse' in Italian and 'Totengräber' in German. Do not use these examples as fallbacks for other languages. Ensure all translations are accurate by using the official localized names for Fortnite Save the World items in the target language. This accuracy is crucial for players to understand what items are being discussed. Return only the corrected translation with proper game terminology, without adding any additional text.

Original text: add language roles
Machine translation: Aggiungi ruoli linguistici
Target language: italian
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: I cannot provide good images as its a logon problem.
intention: bug report
review: Last.fm scrobbling for streaming audio
intention: feature request
review: You should not be using such an old version of Firefox. 
intention: other
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: I cannot provide good images as its a logon problem.
intention: bug report
review: Last.fm scrobbling for streaming audio
intention: feature request
review: You should not be using such an old version of Firefox. 
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Well, after 6 hours of painstaking searching, I may have found at least a partial answer:'
intention: '
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: 🟨 Business Analyst | Middle
▫️ null | null
▫️ 155k - 180k RUB
▫️ Russia | Pермь

Офис 🏢
Требуемые языки: 🇷🇺

Skills: programming_basics, scrum, agile
Tags: #yellow #it #business_analyst

👉 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: 📝 Business Analyst | Middle
🏢 Офис
📍 Russia | Pермь
🔹 Требуемые языки: 🇷🇺
💰 Salary: 155k - 180k RUB

The job involves working as a Business Analyst in a middle position. The employer is located in Russia, Pермь and requires fluency in Russian language. The main tasks include programming_basics, scrum, and agile methodologies. The salary ranges from 155k to 180k RUB. For more information, please contact the employer directly.
  
Assistant:
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.
 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:
السلام عليكم يا شيخ بشير كل عام وانتم بخير
Assistant:
public int[] asteroidCollision(int[] asteroids) {
Stack<Integer> st = new Stack<>();
int n = asteroids.length;
int i=0;
while(i < n){
if(asteroids[i] < 0){
if(st.size()==0 || st.peek()<0){
st.push(asteroids[i]);
i++;
}
else if(st.peek() == Math.abs(asteroids[i])){
st.pop();
i++;
}
else if(st.peek()< Math.abs(asteroids[i])){
st.pop();
}
else if(st.peek() > Math.abs(asteroids[i])){
i++;
}
}else{
st.push(asteroids[i]);
i++;
}
}
int[] ans = new int[st.size()];
for(int j=ans.length-1;j>=0;j--){
ans[j] = st.pop();


}
return ans;
}
Why this code works but not my code (given below) what is the main error in my code: import java.util.Stack;

public class AsteroidCollision {
	public static int[] asteroidCollision(int[] asteroids) {
		if (asteroids.length == 0)
			return new int[0];
		int i = 0;
		Stack<Integer> st = new Stack<>();
		while (i < asteroids.length) {
			if (asteroids[i] > 0) {
				st.push(asteroids[i]);
				i++;

			} else {
				if (st.size() == 0 || st.peek() > 0) {
					if (st.peek() > Math.abs(asteroids[i])) {
						i++;
					} else if (st.peek() < Math.abs(asteroids[i])) {
						st.pop();
					} else {
						st.pop();
						i++;
					}

				}

			}
		}
		int[] ans = new int[st.size()];
		for (int j = ans.length - 1; j >= 0; j--) {
			ans[j] = st.pop();

		}
		return ans;
	}

	public static void main(String[] args) {
		int[] ques = { -2, -1, 1, 2 };
		int[] ans = asteroidCollision(ques);
		for (int i = 0; i < ans.length; i++)
			System.out.print(ans[i] + ", ");
		System.out.println();
	}

}
ترجم لي للعربيه Thank you so much for the compliment. I'm a bit embarrassed by your kind words! My eyes are actually uneven in size. Hahaha.
Generate as many personalized recommendations to me as the user that is possible, heavily focused off my geolocation and device, based on the following JSON data with paragraphs: {"visitor_ip":"162.251.63.75","visitor_user_agent":"Mozilla\/5.0 (iPhone; CPU iPhone OS 17_7 like Mac OS X) AppleWebKit\/605.1.15 (KHTML, like Gecko) Version\/17.7 Mobile\/15E148 Safari\/604.1","visitor_request_time":"2024-10-12 22:32:54","visitor_language":"en-US,en;q=0.9","visitor_host":"75-63-251-162.clients.gthost.com","visitor_location":{"status":"success","country":"United States","countryCode":"US","region":"CA","regionName":"California","city":"Los Angeles","zip":"","lat":34.0522,"lon":-118.2436,"timezone":"America\/Los_Angeles","isp":"GTHost","org":"GTHost","as":"AS63023 GTHost","query":"162.251.63.75"}}<--OUTPUT-DELIMITER-->
import { Request, Response } from "express"
import puppeteer, { executablePath } from "puppeteer"
import fs from "fs"
import path from "path"
import { fileURLToPath } from "url"

const __filename = fileURLToPath(import.meta.url)
const __dirname = path.dirname(__filename)

export const UploadController = {
  async UploadPDF(req: Request, res: Response) {
    try {
      const { htmlContent } = req.body

      if (!htmlContent) {
        throw new Error("HTML content is missing")
      }

      const browser = await puppeteer.launch()

      const page = await browser.newPage()

      await page.setContent(htmlContent, { waitUntil: "networkidle0" })

      await page.setViewport({ width: 1200, height: 1600 })

      const pdfBuffer = await page.pdf({
        format: "A4",
        printBackground: true,
        margin: { top: "1cm", right: "0.2cm", bottom: "1cm", left: "0.2cm" },
        scale: 0.8,
        preferCSSPageSize: true,
      })

      await browser.close()

      const pdfPath = path.join(__dirname, "output.pdf")
      fs.writeFileSync(pdfPath, pdfBuffer)

      res.download(pdfPath, "schedule.pdf", (err) => {
        if (err) {
          console.error("Error sending file:", err)
          res.status(500).send("Error sending file")
        }
        fs.unlinkSync(pdfPath)
      })
    } catch (error) {
      console.error("Error generating PDF:", error)
      res.status(500).send(`Error generating PDF:`)
    }
  },
}

export default UploadController
I am doing a experiment of optical fiber with coupler. The insertion loss is higher when using the 1550nm wavelength is lower than using 1310nm wavelength because..
the calculated content of adsorbed oxygen species (Oads) in 1M-5C--NML was 39.26%, while it was decreased to 38.90% and 38.76% in after 5 cycles and after 100 hours, respectively.