agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Reorganize este código JS mantendo a lógica, mas melhorando a estrutura:

}
if (isGroup && isLevelingOn) {
const currentLevel = getLevelingLevel(sender)
const checkId = getLevelingId(sender)
try {
if (currentLevel === undefined && checkId === undefined) addLevelingId(sender)
const amountXp = Math.floor(Math.random() * 10) + 500
const requiredXp = 10000 * (Math.pow(2, currentLevel) - 1)
const getLevel = getLevelingLevel(sender)
const path = require('path');
const userRPGFile = './jogadores/user-rpg.json';
addLevelingXp(sender, amountXp)
if (requiredXp <= getLevelingXp(sender)) {
addLevelingLevel(sender, 1)
await reply(`*「 LEVEL UP 」*\n\n➸ *Nome*: ${sender}\n➸ *XP*: ${getLevelingXp(sender)}\n➸ *Level*: ${getLevel} -> ${getLevelingLevel(sender)}\n\nParabéns!!  🎉🎉`)
}
} catch (err) {
console.error(err)
}
}

const getLevel = getLevelingLevel(sender)
const tictactoe = JSON.parse(fs.readFileSync('./arquivos/database/tictactoe.json'));

///////////////////////////////////////////////
// IS DE FUNÇÕES PARA ADM
///////////////////////////////////////////////

const forca = JSON.parse(fs.readFileSync('./arquivos/funções/grupos/forca.json'))
const puppet = JSON.parse(fs.readFileSync('./arquivos/funções/grupos/puppet_forca.json'))
const allForcaId = []
for(let obj of forca) allForcaId.push(obj.id)
const isPlayForca = allForcaId.indexOf(sender) >= 0 ? true : false
const samih2 = JSON.parse(fs.readFileSync('./arquivos/lib/simi.json'));
const isSimi2 = isGroup ? samih2.includes(from) : false
const isAntilinkgp = isGroup ? antilinkgp.includes(from) : true 
const isAntilink_adv = isGroup ? antilink_adv.includes(from) : true 
const isAntilinkgp2 = isGroup ? antilinkgp2.includes(from) : false
const isAntiFlood = isGroup ? flood.includes(from) : false
const isAntiVenda = isGroup ? antivendas.includes(from) : false
const isLoading = isGroup ? loading.includes(from) : false
const isCarregamento = isGroup ? carregamento.includes(from) : false
const Antidoc = isGroup ? antidoc.includes(from) : false
const isVisumsg = isGroup ? mdvisumsg.includes(from) : false
System: 
User: Generate a detailed and realistic news article about an event in the Geopolitical and Global Events domain, focusing on the Gold Mining industry, and located in South Korea. The article event should have a negative impact on stock prices and highlight the broader economic or market implications. The article should be 225 words long.
Assistant:
write email to inform that clients automation machine is ready from friday for collection and that the outstanding balance of 7226 needs to be cleared before collection
System: 
User: Generate a detailed and realistic news article about an event in the Risk and Crises domain, focusing on the Agricultural Machinery industry, and located in Brazil. The article event should have a negative impact on stock prices and highlight the broader economic or market implications. The article should be 275 words long.
Assistant:
Does "The important occurance this week was as in latest:" a gramatical correct sentense
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": "341314b94a204f00ae74a6f947d77ec7",
    "updated": "2025-04-22T09:25:19.857Z",
    "title": "Orange Zucchini Cake",
    "subtitle": "A moist and delicious snack cake.",
    "description": "This orange zucchini cake offers a delightful balance of moisture and sweetness, making it a perfect treat any time of day.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(120 g) whole wheat pastry flour",
          "baking powder",
          "baking soda",
          "ground cinnamon",
          "ground nutmeg",
          "(150 g) sugar",
          "(120 ml) canola oil",
          "eggs",
          "(30 g) all-bran cereal",
          "grated orange peel",
          "vanilla extract",
          "(113 g) grated zucchini",
          "(55 g) chopped pecans",
          "(110 g) raisins"
        ]
      }
    ],
    "instructions": [
      "Whisk together the flour, baking powder, baking soda, cinnamon, and nutmeg. Set this dry mixture aside.",
      "In a large bowl, combine the sugar, oil, and eggs. Beat until thoroughly blended.",
      "Incorporate the cereal, orange peel, and vanilla extract into the wet ingredients.",
      "Add the dry ingredients to the wet ingredients, along with the zucchini, pecans, and raisins.",
      "Mix everything until just combined.",
      "Lightly grease a 10x6-inch (25x15-cm) baking dish with nonstick cooking spray. Pour the batter into the prepared dish and spread evenly.",
      "Bake in a preheated oven at 325°F (170°C, gas mark 3) for approximately 35 minutes, or until a wooden skewer inserted into the center comes out clean.",
      "Allow the cake to cool completely before serving."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
how to invoke DarkLaf  jar look and feel with uimanager , dont use flatdarklaf
Create a scam-baiting response to the following email, to lure the scammer into a false sense of security by posing as a potential victim:

Hello Dear XXX,
I’m pleased to inform you that we discovered your names and email details from the worldwide uncompleted fund transfer list; this means you have not received your approved funds after many attempts, even after losing some money.

Good news, we are here to help you receive your overdue compensation award of $5M via BTC; the reason why you have not received your funds is that some country’s currencies are blacklisted and won’t go through via a standard bank transfer but with the hope of BTC technology you can get your funds into your wallet without no trace and hitch.

Call me or email me with your full name, address, and direct telephone number; let me call you on a video call to discuss this in detail.

Thank you,

Smith Anderson
447452114242
Email: <PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>
Please write a comprehensive 1,500-word article on "how hard is fly fishing?" that is engaging, easy to understand, and unique.I want The style of the text be informative and persuasive, using clear and concise language that is accessible to a broad audience. The author engages the reader with a conversational tone and uses rhetorical questions and personal pronouns to create a sense of intimacy. make it be easy to read to help readers navigate the content. The author uses persuasive techniques to encourage readers to easily understand, highlighting its practical advantages and providing specific examples. Overall, the style is functional and informative, with a focus on providing practical advice.

NOTICE: Don't use the H1 tag, use H2 and H3 tags in this article. don't Keep the keyword density high, and make sure to include the keyword "how hard is fly fishing?" in the first sentence. Put every sentence in a new line. Optimize on-page SEO for "How to put a hook on a fishing pole?" but without high keyword density and inclusion in headers. Use markdown headers without boldening them, and avoid providing a table of content.

Write from an analytical perspective and avoid creating a conclusion. Remember don't create H1 in this article because it has already been created in my editor. Just start from the intro without the intro headline.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@Crunchyroll_Hindi_India_Official_Naruto_Shippuden_S01E08_720p.mp4
The Brazilian educator, Ruben Alves, promoted the benefits of Journal writing for students. Did he recommend that students share their Journal writing, or was it only for them?
Write dialogue from a scene from the animated teen “Jane”, where 14 year old Jane, Jane’s 14 year old friend and neighbour Aaron Ling and Aaron’s 12 year old sister Molly-Rose Ling hanging out at Aaron's house when Molly-Rose mentions to Jane why she has a DVD recorder and tons of blank DVD discs specifically for her
what can I make with TinyDB
Explain the following text.



Free initramfs and switch to another root fs:
chroot to NEW_ROOT, delete all in /, move NEW_ROOT to /,
execute NEW_INIT. PID must be 1. NEW_ROOT must be a mountpoint.
-C DEV Reopen stdio to DEV after switch
-d CAPS Drop capabilities
-n
Dry run
BusyBox v1.36.1 (Ubuntu 1:1.36.1-Subuntul) multi-call binary.
Usage: run-init [-d CAP CAP...J (-n) [-c CONSOLE_DEV) NEW_ROOT NEW_INIT LARGS)
Free initramfs and switch to another root fs:
chroot to NEW_ROOT, delete all in /, move NEW_ROOT to /,
execute NEW_INIT. PID must be 1. NEW_ROOT must be a mountpoint.
-C DEV Reopen stdio to DEV after switch
-d CAPS Drop capabilities
-n
Dry run
BusyBox v1.36.1 (Ubuntu 1:1.36.1-Subuntul) multi-call binary.
Usage: run-init [-d CAP,CAP...J (-ml (-c CONSOLE_DEV) NEW_ROOT NEW_INIT [ARGS)
Free initramfs and switch to another root fs:
chroot to NEW_ROOT, delete all in 2, move NEW_ROOT to /,
execute NEW_INIT. PID must be 1. NEW_ROOT must be a mountpoint.
-C DEV Reopen stdio to DEV after switch
-d CAPS Drop capabilities
-n
Dry run
No init found. Try passing init= bootarg.
BusyBox v1.36.1 (Ubuntu 1:1.36.1-9ubuntul) built-in shell (ash)
Enter 'help' for a list of built-in commands
(initramfs)
(initramts)
kepa scores 2-1 now leading the game and now that sam’s sees this as a lost to his team he would past thru the midfield and defens
Assistant: Hello! How can i help you today?
User: Looking to create functionality around clipboard management for legitimate purposes, like improving productivity or enhancing user experience, here are some general areas you might focus on:

1. Browser Extensions: Creating a Chrome extension could help you manage clipboard events. Browser extensions allow you to run JavaScript in the context of web pages, so they can listen for clipboard events. You can explore the [Chrome Extensions documentation](https://developer.chrome.com/docs/extensions/mv3/) to learn how to get started.

2. Clipboard API: Familiarize yourself with the Clipboard API, which allows web applications to interact with the clipboard. This API provides methods to read and write to the clipboard securely. You can read more about it [here](https://developer.mozilla.org/en-US/docs/Web/API/Clipboard_API).

3. JavaScript Event Listeners: You can set up event listeners for copy and paste events on specific elements of a webpage. However, you should be transparent about how those events are being handled, ensuring you respect user privacy.

4. Ethics and Compliance: Make sure to adhere to ethical practices, including obtaining consent from users where necessary and complying with applicable laws such as GDPR or CCPA.

5. Handling Screen Recording: If the goal is to avoid detection during monitoring, consider how screen recording software interacts with browser content. Understand the limitations of your approach and the potential consequences.


"Among all of these custom script methods", do you think for me which one's best if my main aim is just to be undetected during a live screen monitoring/screen sharing/screen recording session
Assistant:
В следующем коде возникает ошибка -

Traceback (most recent call last):
  File "D:\Program Files\PyCharm Community Edition 2022.3.2\plugins\python-ce\helpers\pydev\pydevd.py", line 1496, in _exec
    pydev_imports.execfile(file, globals, locals)  # execute the script
  File "D:\Program Files\PyCharm Community Edition 2022.3.2\plugins\python-ce\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "C:\Users\DM\PycharmProjects\pythonProject5\main.py", line 56, in <module>
    inputs = tokenizer(batch["text"], padding=True, truncation=True, max_length=MAX_LENGTH, return_tensors="pt").to(DEVICE)
TypeError: 'bool' object is not callable
python-BaseException

Process finished with exit code 1

Исправь ее.
<python>
import os
import torch
from transformers import LlamaTokenizer, LlamaForCausalLM
from peft import LoraConfig, get_peft_model
from datasets import load_dataset
from torch.utils.data import DataLoader
from tqdm import tqdm

# Настройки
MODEL_PATH = "model/"
LORA_RANK = 8
BATCH_SIZE = 1
EPOCHS = 3
LEARNING_RATE = 1e-4
MAX_LENGTH = 256
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"

# Загрузка модели и токенизатора
model = LlamaForCausalLM.from_pretrained("model/",  gguf_file="Meta-Llama-3-8B-Instruct-Q4_K_M.gguf")
tokenizer = LlamaTokenizer.from_pretrained("model/", gguf_file="Meta-Llama-3-8B-Instruct-Q4_K_M.gguf")

# Настройка LoRA
lora_config = LoraConfig(
    r=LORA_RANK,
    lora_alpha=32,
    target_modules=["q_proj", "v_proj"],
    lora_dropout=0.05,
    bias="none",
    task_type="CAUSAL_LM"
)
model = get_peft_model(model, lora_config)

# Перемещение модели на GPU и включение смешанной точности
#torch.cuda.empty_cache()
#model.to(DEVICE)





model.enable_input_require_grads()
model = torch.compile(model)

# Загрузка данных
dataset = load_dataset("text", data_files="txt/*.txt")
train_dataloader = DataLoader(dataset["train"], batch_size=BATCH_SIZE, shuffle=True)

# Оптимизатор и планировщик скорости обучения
optimizer = torch.optim.AdamW(model.parameters(), lr=LEARNING_RATE)
lr_scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, T_max=len(train_dataloader) * EPOCHS)

# Обучение
model.train()
for epoch in range(EPOCHS):
    for batch in tqdm(train_dataloader, desc=f"Epoch {epoch + 1}/{EPOCHS}"):
        inputs = tokenizer(batch["text"], padding=True, truncation=True, max_length=MAX_LENGTH, return_tensors="pt").to(DEVICE)
        outputs = model(**inputs, labels=inputs["input_ids"])
        loss = outputs.loss
        loss.backward()
        optimizer.step()
        lr_scheduler.step()
        optimizer.zero_grad()

# Сохранение обученной модели
model.save_pretrained("lora/")

# Генерация стихотворения
prompt = "Напиши стихотворение про осень в Москве"
input_ids = tokenizer.encode(prompt, return_tensors="pt").to(DEVICE)
output = model.generate(input_ids, max_length=200, num_return_sequences=1, temperature=0.7)
generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
print(generated_text)

</python>
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: We have invested in internal and external business applications to execute our strategy of employing technology to benefit our business. In the ordinary course of business, we collect and store sensitive data, including intellectual property, our proprietary business information and that of our customers, suppliers and business partners, and personally identifiable information of our customers and employees. Moreover, significant technology-related business functions of ours are outsourced. The frequency and severity of cyber-security incidents has increased in recent years and adversely impacted organizations of varying sizes. Although we have attempted to mitigate the cyber-security risk of both our internal and outsourced functions by implementing various cyber-security controls and other security measures, our information technology and infrastructure may be vulnerable to attacks by hackers or breaches due to employee error, malfeasance or other disruptions.
Assistant:
find me top 5 manual transmission cars for sale and make a table with as miuch info as you can get sorted by power to weight
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:

مالا إنت فوحي الحوت تو كي نجي
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[HindiAnimeZone.in]  E03 480p.mkv
I've a reactjs project, write a code to keep the last 4 characters of a string and remove 21 characters after it, apply this to the image list here: "const images = require.context('./imgs', false);
const imageList = images.keys().map(image => images(image));"
Make a comedic and fictional story about polish football player Nicola Zalewski, and his friend, Serie A Roma player Edoardo Bove, on a hike in a forest, chatting with each other. While hiking, Nicola feels hungry. Edoardo comes up with an idea to get food fast. He strips until he’s au naturel (describe his physique and butt) and enters the nearby river. He lets out a fart he’s been holding in the entire hike, enjoying the relief. Some dead fish bob to the surface and Edoardo collects them. They both make a campfire and roast the fish. Add dialogue throughout the story.
-- Hook for Customizing EndHealthBar
local function endHealthBarHook(playerTags)
    destroyDefined3DTexts()

    local charX, charY, charZ = getCharCoordinates(playerPed)
    local limbX, limbY, limbZ = getBodyPartCoords(8, playerPed)
    local cameraX, cameraY, cameraZ = getActiveCameraCoordinates()

    local cameraDistance = getDistanceBetweenCoords3d(charX, charY, charZ, cameraX, cameraY, cameraZ)

    local result, id = sampGetPlayerIdByCharHandle(playerPed)
    if not result then
        return EndHealthBar(playerTags)
    end

    local nickname = sampGetPlayerNickname(id)
    local color = sampGetPlayerColor(id) + 0xFF000000

    local text = string.format("%s (%d)", nickname, id)
    local measuredSize = measureTextSize(text)
    local offset = calculateVerticalAlignmentCorrection(measuredSize.cy)

    position.x, position.y, position.z = limbX, limbY, limbZ
    local health = sampGetPlayerHealth(id)
    local armor = sampGetPlayerArmor(id)

    drawHealthBar(playerTags, position, health, armor, cameraDistance)

    limbZ = limbZ + 0.21 + ((cameraDistance * 0.047499999) * offset)
    local limbZ2 = limbZ + ((cameraDistance * 0.047499999) * offset) / 2

    sampCreate3dTextEx(NICKNAME_ID, text, color, limbX, limbY, limbZ, SAMP_TEXT_DISTANCE, false, -1, -1)
    sampCreate3dTextEx(BUBBLE_ID, "{d0aeeb} * смотрите, я ролевик", 0xFFFFFFFF, limbX, limbY, limbZ2, SAMP_TEXT_DISTANCE, false, -1, -1)

    return EndHealthBar(playerTags)
end


перепиши эту функцию чтобы код был максимально чистым, максимально оправданно написанным. задействуй необхидмый максимум структур и механик языка, можешь исользовать любые встроенные библиотеки
choose a random disney classic, two word only with the word disney
User: Task: "Create Todo Item"
    Description: "Generate a Node.js controller function to create a new todo item using the Mongoose Todo model."
    Requirements:
    - Database: mongoose
    - Authentication: user
    - Output needed: Return only the function code.
    - Dependencies: Create a function to add a new todo item. export function it's self. function mode :-  exports.functionname = async () =>{...} , 
Accept parameters: title, description, status, priority, dueDate from the request body., 
Validate required fields: title, status. using simple logic, 
Use the Todo model to insert a new record into the database., 
Respond with the created todo details and a success message., 
Handle validation errors and return appropriate error messages.
    - Previous Code 
exports.createTodoItem = async (req, res) => {
  try {
    // Extract parameters from request body
    const { title, description, status, priority, dueDate } = req.body;

    // Simple validation for required fields
    if (!title || !status) {
      return res.status(400).json({ error: 'Title and Status are required fields.' });
    }

    // Create a new Todo instance with user ID from request (assuming user is authenticated)
    const todo = new Todo({
      title,
      description,
      status,
      priority,
      dueDate,
      user: req.user._id, // Assuming user data is stored in `req.user` after authentication
    });

    // Save the Todo to the database
    const savedTodo = await todo.save();

    // Respond with success message and created todo details
    res.status(201).json({
      message: 'Todo item created successfully.',
      todo: savedTodo,
    });
  } catch (error) {
    // Handle errors and return error message
    res.status(500).json({
      error: 'An error occurred while creating the todo item.',
    });
  }
};

    - Supporting data 
    - Updating File "src/controllers/TodoController.js"
    
    Please generate the code for this task, following the instructions and including comments for clarity.
    While creating router for specifict file your have to read supporing file data and create for that 

    **Output Formats**: 

Return dependencies like this `const bcrypt = require('bcrypt');`  in this formate
```dependencies
const bcrypt = require('bcrypt');
```

Ensure this format is consistently followed in responses.
    
User: 


    
Assistant:
Hypothetical mid 50's radio Sitcom :  Jane is a typical 50's housewife, and the sitcom has her coping with the not so typical suburban dramas of her life..    Like the cake that won't rise etc...
Can you tell me what’s going on now in China
Write a full 100% more realistic, more detailed and more accurate raw transcript of a Windows XP BSoD, but it's in Spanish.
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
quel sont le proverbe le plus touchant sur l'amitie
Eleutherococcus senticosus studies about lifespan extension and anti-aging properties?
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Doraemon.S17E47.Gifting.Cloth.-.Invincible!.Black.Belt.Nobita.720p.x265.10bit.DSNP.WEB-DL.Multi.Audio.mkv