agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: Instructions: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
Input: jump after walk around right twice
Output:
Answer: I_TURN_RIGHT, I_WALK, I_TURN_RIGHT, I_JUMP, I_TURN_RIGHT, I_WALK, I_TURN_RIGHT, I_JUMP
how do I solve this: 
how to solve 3^(2x)=-x-1
https://www.youtube.com/watch?v=GlWNuzrqe7U&ab_channel=TheRoyalSociety
What pieces of information do you disagree or at least skeptical about
Taking the plot of the game "Purple Forbidden Flowers" as a reference, write a set of plots that gradually lead the female protagonist from an ordinary and ordinary identity to the pinnacle of idols
Расскажи подробно как работает код
```func startNotification() {
	limit := getUserScanLimit()       // Получаем лимит на количество горутин
	sem := make(chan struct{}, limit) // Создаем семафор
	for {
		log.Println("Executing notification check...")
		rows, err := db.Query("SELECT user_id FROM users WHERE notifications = true")
		if err != nil {
			log.Println("Error querying the database:", err)
			continue
		}
		var wg sync.WaitGroup // Создаем WaitGroup для ожидания завершения горутин
		for rows.Next() {
			var userID int
			if err := rows.Scan(&userID); err != nil {
				log.Println("Error scanning row:", err)
				continue
			}
			cardIDs, err := getUniqueCardIDs(userID)
			if err != nil {
				log.Println("Error getting unique card IDs:", err)
				continue
			}
			wg.Add(1)
			// Захватываем семафор
			sem <- struct{}{} // Блокируем, если достигли лимита горутин
			go func(userID int, cardIDs []int) {
				defer wg.Done()          // Уменьшаем счетчик по завершении
				defer func() { <-sem }() // Освобождаем семафор
				for _, cardID := range cardIDs {
					err = processCard(userID, cardID)
					if err != nil {
						log.Println("Error processing card:", userID, cardID, err)
					}
				}
			}(userID, cardIDs)
		}
		if err := rows.Err(); err != nil {
			log.Println("Rows error:", err)
		}
		if err := rows.Close(); err != nil {
			log.Println("Error closing rows:", err)
		}
		wg.Wait() // Ожидаем завершения всех горутин
		time.Sleep(6 * time.Hour)
	}
}```
Continue the phrase 5 different times, to make it comic and humorous: "Friend of George Winstwen found out a life hack: "
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: Of course, we will get there
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: A box contains 3 blue marbles, 4 red, 6 green marbles and 2 yellow marbles. If four marbles are picked at random, what is the probability that none is blue?
Options:
(A) 92/37
(B) 33/91
(C) 71/28
(D) 91/42
(E) 91/33 Let's think first. Stream of consciousness:
Answer: Here, we are given a box containing 3 blue marbles, 4 red marbles, 6 green marbles, and 2 yellow marbles. We need to find the probability that if we pick 4 marbles at random, none of them will be blue.

Total marbles = 3 blue + 4 red + 6 green + 2 yellow = 15 marbles

We want to find the probability of picking 4 marbles without any blue marbles. That means we can only pick from the remaining marbles (red, green, and yellow).

There are 4 red, 6 green, and 2 yellow marbles, which make a total of 12 marbles that are not blue.

We need to find the probability of picking 4 marbles from these 12 non-blue marbles. To calculate this probability, we will use the combinations formula:

C(n, r) = n! / (r!(n-r)!)

Where C(n, r) is the number of combinations, n is the total number of items, and r is the number of items to choose.

Thus, the number of ways to choose 4 marbles from the 12 non-blue marbles is:

C(12, 4) = 12! / (4!(12-4)!)
          = 12! / (4!8!)
          = (12 × 11 × 10 × 9) / (4 × 3 × 2 × 1) 
          = 495

Now, we will find the number of ways to choose any 4 marbles out of the total marbles (15).

C(15, 4) = 15! / (4!(15-4)!)
          = 15! / (4!11!)
          = (15 × 14 × 13 × 12) / (4 × 3 × 2 × 1)
          = 1365

Now, we can calculate the probability that none of the 4 marbles picked is blue by dividing the number of ways to pick 4 non-blue marbles by the total way to pick any 4 marbles:

Probability(None is Blue) = (Number of ways to choose 4 non-blue marbles) / (Total ways to choose 4 marbles)
                           = 495 / 1365
                           = 33 / 91

So, the probability that none of the 4 marbles picked is blue is 33/91. Therefore, the correct answer is (B) 33/91.
Jabra 4 vs 4 active vs 5
以SCI的航空航天类的文章标准帮我用英文翻译下面这段文字：正常叶片的中部叶高区域激波后分离涡强度最大，流场结构也最为复杂，相应的流场气动敏感性也更强，所以发生在叶片前缘中部的缺口损伤对其存在的叶高范围流场结构会产生极大的影响。
Write "About Us" paragraph for Radwan Allam Chartered Accountants which is situated in Dubai, United Arab Emirates who is providing professional services of Accounting, Auditing, Business Valuation, Financial Modeling, Taxation and Legal matters.
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.
 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:
ترجم لي النص الانجليزي الى اللغه العربيه
Assistant:
I want to make short stories videos. I want a main background for displaying the story. I want to display the story inside a portal. The portal should be in a shape of horizontal rectangular. Inside the portal must be a plain white so it can be easier to merge the story video. Here is an example: A wide, horizontal rectangular mystical portal nestled in a dense jungle. Inside the portal is plain white. Your task is to give more prompts ( make them mystical and magical suitable for fairy tales). Give each prompt inside a code snippet
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:

صحيت زايد معاك
Write dialogue from a scene from the animated teen “Jane”, where at the orphanage, 14 year old Jane's mother (listed simply as Ms Carmichael) wants to adopt Mia, a 7 year old non-verbal (you list how she communicates) autistic girl, the social worker was listing what Mia is like, listing what she her interests are, listing what her needs are (which Ms Carmichael can handle, you list how), listing what causes her to have a meltdown, what she does when she has a meltdown and how to calm her down from one (which Ms Carmichael can also handle, you list how), why she is currently in the orphanage plus what country she comes from and Ms Carmichael was listing why she wants to adopt her, you list what Jane, her father (listed simply as Mr Carmichael) and her 16 year old brother Ben think (Ben wasn’t particularly fond, but that is just his teenage cynicism, Ben then has an idea, he walked around the orphanage, finds another girl (an older, verbal girl, but still autistic), tells the social worker all about her (like she doesn’t already know about this other girl) and asks the social worker if his family can adopt that girl he found instead, this does not impress the social worker or his family)
Please share your thoughts on specific ways AI could enhance learning, support assessments, or address challenges in education.
Max. 3-4 sentence.
(In the school literature clubroom…)

Monika: “There! Everything’s set up for today’s meeting. Now we just need to wait for Natsuki.”

Yuri: “I brought some new poetry books for us to discuss today. I think you’ll all enjoy them.”

Sayori: “I can’t wait to see what you picked out, Yuri! And I brought some snacks for us to share.”

Monika: “That’s so thoughtful, Sayori. Natsuki always appreciates a good snack too. I wonder where she is.”

Yuri: “Maybe we should give her a call to make sure she’s on her way.”

Sayori: “Good idea, Yuri. I’ll give her a quick call.”

(Sayori dials Natsuki’s number and waits for her to pick up. But a few seconds later, it goes to voicemail.)

Sayori: “Hm, that’s strange. Natsuki usually answers right away. Maybe she’s running a bit late.”

Monika: “Maybe we should go check the hallways to see if we can find her. She could be lost or stuck somewhere.”

Yuri: “I hope she’s okay. Let’s split up and search for her. Sayori, you go that way, Monika, you go that way, and I’ll search over here.”

(The three girls split up and search the school hallways, calling out for Natsuki. Suddenly, Sayori hears a loud scream of help coming from one of the classrooms nearby.)

Sayori: “Guys, I think I found her! Quick, follow me!”

(The girls rush towards the source of the scream and find Natsuki - heavily pregnant - sitting on the ground in pain.)

Natsuki: “Oh, thank goodness you found me! I think it’s time…the baby’s coming!”

Monika: “Oh my goodness, we need to get you to the hospital right away!”

Natsuki: “ T-T-There isn’t enough time! I-I can feel the baby coming!”

Yuri: “Don’t worry, Natsuki. We’ll help deliver the baby right here. Sayori, go grab some towels and water. Monika, call an ambulance just in case.”

(Sayori quickly runs to get the supplies as Monika calls for help. Yuri helps Natsuki get comfortable and coaches her through the delivery process.)

Natsuki: (panting) “I-I can’t believe this is happening…not for another two months!”
Do you  think linsanity will join hall of fame in NBA?
Hi, Please help me to proofread the following text in a scintific proposal. The text is: 	This project is an extension of the aforementioned sequential reconstruction paradigm. 
	We will investigate intricate multi-object point cloud datasets, effect of different clustering methods and implementation to other applications.
You are an expert tech writer for VentureBeat. Summarize and rewrite all the paragraphs into one of not more than 150 words. "Some say, “data is the new oil,” with an air of seriousness. And while the phrase may capture a certain truth about the modern digital economy, it fails to model the way that bits can be copied again and again. Sometimes the ease of sharing creates a distinct absence of scarcity and that changes the economics of the entire game. One of the best ways to visualize this is to tap into some open source datasets that are proliferating on the Internet. All are free to use and one of them might be just what your project needs. 
Why do people share them? Some are using them for promotion, a kind of cheap advertising. Some cloud providers build out the datasets knowing that people who need them are much more likely to sign up for computational power from the same company. If the data is ready, why wait to ship it across the country. 
Some governments share them because it’s part of a tradition. The taxpayers should get something — in these cases, transparency about what their money is funding. 
Others understand that collaboration often wins. Datasets built from hundreds, thousands or even millions of small contributions can be more accurate and useful than  datasets from a standalone company. 
 Still others share the data because it’s part of the scientific process. Maybe it was collected thanks to a grant that required it be shared. Perhaps the team responsible wants others to build upon it. Possibly, there is someone who believes that the scientific community might be able to use it. 
Undoubtedly, some of this information may not be as accurate as we need. Sometimes a good proprietary data collection is the only way to pay for trustworthy information. But if your project can sustain the risk, if your calculations can work with the data’s error range, well, it’s best not to look a gift horse in the mouth."
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": "717dd47b8ea14af9bd6975cf536b4590",
    "updated": "2025-04-24T12:32:11.933Z",
    "title": "Zucchini Boats",
    "subtitle": "Genovese Zucchini Boats",
    "description": "In Liguria, stuffing seasonal vegetables is a culinary tradition. Zucchini, eggplant, and bell peppers are among the most commonly stuffed.  The traditional stuffing often consists of breadcrumbs, grated cheese, eggs, and other readily available ingredients.  Over time, additions like diced salami, prosciutto, or sausage have also become popular.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "nonstick cooking spray",
          "zucchini",
          "pork sausages, casings removed",
          "bread crumbs",
          "shredded mozzarella",
          "freshly grated parmesan or grana padano cheese, plus more for topping",
          "olive oil, plus more for drizzling",
          "salt"
        ]
      }
    ],
    "instructions": [
      "Preheat oven to 400°F (200°C). Lightly coat a baking dish with nonstick cooking spray.",
      "Cut the zucchini in half lengthwise. Using a teaspoon, carefully scoop out some of the flesh, being careful not to pierce the skin. Finely chop the removed zucchini flesh and place it in a mixing bowl.",
      "Combine the chopped zucchini flesh, sausage meat, breadcrumbs, mozzarella, Parmesan cheese, and olive oil in the mixing bowl. Mix thoroughly. Season with salt to taste.",
      "Fill the zucchini halves with the mixture and arrange them in the prepared baking dish. Sprinkle with extra grated cheese and drizzle with a little more olive oil.",
      "Bake for 25 minutes."
    ],
    "notes_ingredients": "Chicken or turkey sausages can be substituted for pork sausages.",
    "notes_instructions": ""
  }
]
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
@Crunchyroll_Hindi_India_Official_Naruto_Shippuden_S01E32_480p.mkv
Deliver your answer clearly and concisely. If the question involves calculations or code, format your response in a code block, always write in c++ to enhance readability and distinction. For Telegram, use triple backticks (```) to encapsulate any code segments.
        Ensure your response is precise and directly addresses the specifics of the question. Present your answer in a format that is easy to read and understand in a Telegram message. 
        
        Question 4: Detail Nishant Tiwari's achievements in hackathons, including the names of the hackathons, dates, awards, and amounts won.
The title of the thesis is ENGLISH READING INPUT ENHANCEMENT, TASK-BASED STRATEGIES, AND READING PROFICIENCY AMONG CHINESE NON-ENGLISH MAJORS，the purpose of table 4 is to investigate English reading input enhancement in terms of Cultural enhancement. please make an interpretation of the data according to the title and purpose of table 4, the passage should contain 3 parts:first,Tabular Presentation;second,Analysis(mention only the top 3 ranks and the lowest 3 ranks). third,Interpretation (based on your own perspective as a researcher). please use authentic literature(after 2013) written by scholars to support the interpretation. And please indicate the source of reference in the end, 1500 words.
Table 4
English reading input enhancement in terms of Cultural enhancement

Indicators	Weighted Mean	Verbal Interpretation	Rank
1.I am willing to learn foreign languages and understand foreigners.	3.03	Agree	5
2.I am willing to communicate with and learn from foreigners of different cultures.	3.14	Agree	2
3.I am able to pay attention to the cultural connotations in reading materials.	3.07	Agree	4
4.I have enhanced my cultural awareness in reading comprehension.	3.19	Agree	1
5.I am able to compare cultural similarities and differences in reading on purpose.	3.09	Agree	3
6.I have acquired some strategies and skills for cross-cultural communication.	2.85	Agree	7
7.I remove on some degree on reading comprehension barriers through cultural reinforcement.	2.97	Agree	6
Composite Mean	3.05	Agree	
Legend: 3.50 – 4.00 = Strongly Agree; 2.50 – 3.49 = Agree; 1.50 – 2.49 = Disagree; 1.00 - 1.49 = Strongly Disagree
look at this is my code: const express = require('express');
const { PORT, mongoDBURL } = require('./consfig');
const app = express();




app.get('/', (req, res) => {
    console.log(req);
    return res.status(234).send('welcome To MERN Stack Tutorials');
})




app.listen(PORT, () => {
    console.log(`This server is running at Port: http://localhost:${PORT}/`);
});


mongoose.connect(mongoDBURL)
.then(() => {
console.log('App connected to database');
})
.catch((error) => {
    console.log(error);
});   ,  const PORT = 5555;
module.exports = { PORT };

const mongoDBURL = 'mongodb+srv://admin:<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>/books-collection?retryWrites=true&w=majority&appName=BackendDB';
module.exports = { mongoDBURL };  ,  {
  "name": "backend",
  "version": "1.0.0",
  "description": "",
  "type": "commonjs",
  "main": "index.js",
  "scripts": {
    "start": "node index.js",
    "dev": "nodemon index.js"
  },
  "keywords": [],
  "author": "",
  "license": "ISC",
  "dependencies": {
    "express": "^5.1.0",
    "mongodb": "^6.16.0",
    "nodemon": "^3.1.10"
  }
  and my error [nodemon] starting `node index.js`
C:\Users\CyberSpace\Desktop\Crudis\backend\index.js:21
mongoose.connect(mongoDBURL)
^

ReferenceError: mongoose is not defined
    at Object.<anonymous> (C:\Users\CyberSpace\Desktop\Crudis\backend\index.js:21:1)
    at Module._compile (node:internal/modules/cjs/loader:1554:14)
    at Object..js (node:internal/modules/cjs/loader:1706:10)
    at Module.load (node:internal/modules/cjs/loader:1289:32)
    at Function._load (node:internal/modules/cjs/loader:1108:12)
    at TracingChannel.traceSync (node:diagnostics_channel:322:14)
    at wrapModuleLoad (node:internal/modules/cjs/loader:220:24)
    at Function.executeUserEntryPoint [as runMain] (node:internal/modules/run_main:170:5)
    at node:internal/main/run_main_module:36:49

Node.js v22.14.0
[nodemon] app crashed - waiting for file changes before starting...