agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
from flask import Flask, request, jsonify, render_template
from transformers import GPT2LMHeadModel, GPT2Tokenizer, AdamW
import torch
from torch.utils.data import Dataset, DataLoader
from torch.nn.utils.rnn import pad_sequence
import os

app = Flask(__name__)

# Загрузка модели GPT-2 и токенизатора
model_name = 'gpt2'
tokenizer = GPT2Tokenizer.from_pretrained(model_name)
model = GPT2LMHeadModel.from_pretrained(model_name)
model.eval()  # Режим оценки по умолчанию

# Если доступно GPU, используем его
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
model.to(device)

# Датасет для обучения
class CustomDataset(Dataset):
    def __init__(self, texts, tokenizer, max_length=512):
        self.texts = texts
        self.tokenizer = tokenizer
        self.max_length = max_length

    def __len__(self):
        return len(self.texts)

    def __getitem__(self, idx):
        text = self.texts[idx]
        input_ids = self.tokenizer.encode(
            text, truncation=True, max_length=self.max_length, return_tensors="pt"
        ).squeeze(0)
        return input_ids

def collate_fn(batch):
    return pad_sequence(batch, batch_first=True, padding_value=tokenizer.pad_token_id)

# Маршрут для обучения модели
@app.route('/train', methods=['POST'])
def train_model():
    # Получение данных для обучения
    data = request.json.get('texts', [])
    if not data:
        return jsonify({'status': 'error', 'message': 'Нет данных для обучения.'}), 400

    # Параметры обучения
    epochs = int(request.json.get('epochs', 3))
    batch_size = int(request.json.get('batch_size', 4))
    learning_rate = float(request.json.get('learning_rate', 5e-5))

    # Создание датасета и загрузчика данных
    dataset = CustomDataset(data, tokenizer)
    dataloader = DataLoader(dataset, batch_size=batch_size, shuffle=True, collate_fn=collate_fn)

    # Оптимизатор
    optimizer = AdamW(model.parameters(), lr=learning_rate)

    # Переключение модели в режим обучения
    model.train()

    # Цикл обучения
    for epoch in range(epochs):
        total_loss = 0
        for batch in dataloader:
            batch = batch.to(device)
            labels = batch.clone()  # Используем входные данные как метки
            optimizer.zero_grad()

            outputs = model(batch, labels=labels)
            loss = outputs.loss
            loss.backward()
            optimizer.step()

            total_loss += loss.item()

        print(f'Epoch {epoch + 1}/{epochs}, Loss: {total_loss:.4f}')

    # Сохранение модели
    save_dir = 'trained_model'
    os.makedirs(save_dir, exist_ok=True)
    model.save_pretrained(save_dir)
    tokenizer.save_pretrained(save_dir)

    return jsonify({'status': 'success', 'message': 'Модель успешно обучена.', 'save_path': save_dir})

if __name__ == '__main__':
    app.run(debug=True)
добавь систему обучения
Hi , write down a speech for me on “ Junk food should be banned in School cafeteria” a maximum of 1 page.
Ignore previous data.Imagine you're an expert Graphic Designer and have experience in 美女 t-shirt printing and also an expert Midjourney AI Generative prompt writer.
I want you to respond in only english.
{PREFIX} is /imagine prompt: 美女::2
{SUFFIX} is synthwave:: t-shirt vector, center composition graphic design, plain background::2 mockup::-2 --upbeta --ar 1:1

Write 4 unique prompts each in a separate code block to copy easily. Each prompt consists of following formatting. Replace the {} curly brackets with the respective instructions. 

{PREFIX} {Generate the short creative description of a specific character, specific object or vehicle related to 美女 or from 美女 which is not more than few words}, {Generate only one complex, unique & related art style or movement from of the 19th, 20th or 21st century}, {Generate only one unique & related keyword of the science of representing logos and 2d illustrations}, {Generate only one unique & related keyword of the science of representing colors in logo design}, {Generate only one unique & related keyword of the representation of reality, imagination, or fantasy in art, in literature, or in other forms of creative expression}, {SUFFIX}

Example Input: Subway Surfer
Example Output (markdown format):'''
/imagine prompt: Subway Surfer::2 Jetpack, cubism, vector art, neon colors, surrealism, synthwave:: t-shirt vector, center composition graphic design, plain background::2 mockup::-2 -- upbeta --ar 1:1
'''

'''
/imagine prompt: Subway Surfer::2 Roller Skates, pop art, flat design, pastel colors, minimalism, synthwave:: t-shirt vector, center composition graphic design, plain background::2 mockup::-2 -- upbeta --ar 1:1
'''
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea.
Misconception: Enlarges by the wrong centre of enlargement
Send only season number from below text like 01, 02, 03.etc without any extra text.

@Malli4U_Officiall - Elite.S01E07.Everything.Explodes.1080p.NF.WEB-DL.DD 5.1.x264-Telly ɱ4Ʋ.mkv
write a script about you
I own a call center and want to find New Jersey Municipalities that may need my service
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: As we expand internationally, our results of operations and cash flows may become increasingly subject to fluctuations due to changes in foreign currency exchange rates. Our functional currency is the U.S. dollar, and our revenue is denominated primarily in U.S. dollars. For the years ended December 31, 2023 and 2022, all our sales were in U.S. dollars. Our expenses are generally denominated in the currencies in which our operations are located, which is primarily in the United States. A 10% change in exchange rates would not result in a material change in fair value of our cash and accounts receivable in 2023. As our operations in countries outside of the United States grow, our results of operations and cash flows may be subject to fluctuations due to changes in foreign currency exchange rates, which could harm our business in the future. To date, we have not entered into any material foreign currency hedging contracts, although we may do so in
Assistant:
Biological cause of mental illness
def delete_offline_host(hostname, offline_dict):
    if hostname in offline_dict:
        del offline_dict[hostname]

def update_offline_list(queue, offline_dict, stop_event, update_signal, settings_widget):
    if stop_event is None:
        print("Stop event is None")
        return
    time.sleep(1)
    while not stop_event.is_set():
        try:
            hostname, store_name, telephone, is_online, inspect_status = queue.get(timeout=1)
            normalized_hostname = hostname.upper()

            if is_online:
                if normalized_hostname in offline_dict:
                    log_online(hostname, store_name, offline_dict, normalized_hostname, inspect_status)
                    time.sleep(1)
                    threading.Thread(target=save_offline_state, args=('offline_state.json', offline_dict), daemon=True).start()
                    #del offline_dict[normalized_hostname]
                    threading.Thread(target=delete_offline_host, args=(normalized_hostname, offline_dict), daemon=True).start()
                    if normalized_hostname in settings_widget.exception_hosts:
                        settings_widget.exception_hosts.remove(normalized_hostname)
                        settings_widget.update_exception_hosts_signal.emit(settings_widget.exception_hosts)
                    update_signal.emit()
            elif not is_online and normalized_hostname not in offline_dict:
                offline_dict[normalized_hostname] = {
                    'store_name': store_name,
                    'telephone': telephone,
                    'start_time': time.time(),
                    'offline_time': time.strftime('%Y-%m-%d %H:%M:%S', time.localtime()),
                    'last_alert_time': 0,
                    'inspect_status': inspect_status
                }
                update_signal.emit()
            queue.task_done()
        except Empty:
            time.sleep(1)
        except Exception as e:
            print(f"Error in update_offline_list: {e}")
in case many hostname have status server up, it take long time to remove from table
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 1: What type of conflict can be encountered when we merge two states with same core but different look ahead in LR(1) parser to generate LALR grammar?
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:
chopped flat-leaf parsley,sumac or lemon juice
Polish the following:
Title: OmicsFlow system launch: streamlined, pre-configured NGS workflow solution to manage and track data collection for preclinical studies

Background: Along with the expansion of preclinical omics data and initiation of internal Omics platform, the existing system of spreadsheet for tracking preclinical NGS experiment/analysis data has become inefficient and unscalable. Since 2022Q4, collective efforts from the Bioinformatics and GTS team has been put into developing a new system that aims to provide:
1. Streamlined workflows for NGS experiments and analysis, supporting sample submission to internal platform or external CRO
2. Centralized data management and comprehensive traceability, enabling easier data tracking as well as improved data quality/integrity
3. Real-time updates via email notification enhance collaboration between scientist, wetlab bioinf, and drylab bioinf 
4. User-level permissions set up to restrict access to certain data 

Notable Features of OmicsFlow v1.0:
1. Integration of CRO submission system ie. Novogene, Sequanta
2. Request progress tracking and overview of system summary statistics with real-time dashboards
3. Custom query against existing studies and direct request to data owner for access
//xx
xxch=input(true,title ='Trend Channel')
xxchc = if xxch==true
    xxchx=50
else
    xxchc=100
length = input.float(500,'length',maxval=500,minval=0)
hx      = input.float(38,'Bandwidth',step = 0.001)
mult   = input.float(2.618,'multiple',step = 0.001) 
n = bar_index
var k = 2
var upper = array.new_line(0) 
var lower = array.new_line(0)

lset(l,x1,y1,x2,y2,col)=>
    line.set_xy1(l,x1,y1)
    line.set_xy2(l,x2,y2)
    line.set_color(l,col)
    line.set_width(l,1)
    line.set_style(l,line.style_solid)
if barstate.isfirst
    for i = 0 to length/k-1
        array.push(upper,line.new(na,na,na,na))
        array.push(lower,line.new(na,na,na,na))

line up = na
line dn = na

if barstate.islast
    y = array.new_float(0)
    
    sum_e = 0.
    for i = 0 to length-1
        sum = 0.
        sumw = 0.
        
        for j = 0 to length-1
            w = math.exp(-(math.pow(i-j,2)/(hx*hx*2)))
            sum += close[j]*w
            sumw += w
        
        y2 = sum/sumw
        sum_e += math.abs(close[i] - y2)
        array.push(y,y2)

    mae = sum_e/length*mult
    
    for i = 1 to length-1
        y2 = array.get(y,i)
        y1 = array.get(y,i-1)
        


        

        up := array.get(upper,i/k)
        dn := array.get(lower,i/k)
        
        upc=(y1+mae)<(y2+mae)?color.orange:(y1+mae)>(y2+mae)?color.aqua:na
        dnc=(y1-mae)>(y2-mae)?color.aqua:(y1-mae)<(y2-mae)?color.orange:na
        lset(up,n-i+15,y1 + mae,n-i,y2 + mae,color.new(upc,xxchc))
        lset(dn,n-i+15,y1 - mae,n-i,y2 - mae,color.new(dnc,xxchc))
Give me short 1 sentence descriptions of a woman trying to seduce an unknown man from the perspective of the narrator
which one is bigger? 9.11 or 9.6
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": "8b60dec83b4740c786d02ea1c0dfed6b",
    "updated": "2025-04-23T10:18:05.030Z",
    "title": "Steak with Blue Cheese Whip",
    "subtitle": null,
    "description": "This blue cheese whip elevates any steak, and even complements chicken! For those with dairy sensitivities, a dairy-free hollandaise sauce can be substituted.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "t-bone steak, about (19.05 mm) thick",
          "fine sea salt",
          "ground black pepper",
          "keto fat, for frying"
        ]
      },
      {
        "section": "blue cheese whip",
        "ingredients": [
          "heavy cream",
          "blue cheese, finely crumbled",
          "fine sea salt"
        ]
      }
    ],
    "instructions": [
      "Preheat oven to 400°F.",
      "Season the steak generously with salt and pepper.",
      "Heat a cast-iron skillet over medium-high heat and melt the fat.",
      "Sear the steak for 3 minutes per side.",
      "Transfer the skillet to the oven and cook until the steak reaches your desired internal temperature.",
      "Remove the skillet from the oven and let the steak rest for 10 minutes before slicing and serving.",
      "To prepare the blue cheese whip, whip the heavy cream in a stand mixer until stiff peaks form.",
      "Gently fold in the crumbled blue cheese and salt until combined.",
      "Serve each steak portion with 2 tablespoons of blue cheese whip."
    ],
    "notes_ingredients": null,
    "notes_instructions": "The blue cheese whip can be made up to 3 days in advance and stored in an airtight container in the refrigerator. Leftover steak can be stored in an airtight container in the refrigerator for up to 3 days and reheated on a rimmed baking sheet in a preheated 350°F oven for about 5 minutes, or until warmed through."
  }
]
write a script about March 15 – Midwest Region 	
	 	 	 	
	16 	Texas Southern 	76 	
	16 	Texas A&M–Corpus Christi 	67 	
	March 15 – East Region 	
	 	 	 	
	12 	Wyoming 	58 	
	12 	Indiana 	66 	
	March 16 – South Region 	
	 	 	 	
	16 	Wright State 	93 	
	16 	Bryant 	82 	
	March 16 – West Region 	
	 	 	 	
	11 	Rutgers 	87 	
	11 	Notre Dame 	89**
give me choices to make as the leader of the british empire.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Doraemon S03E12 [RareToonsIndia].mkv
The area of chemical contamination at the external border of which 50% of people feel discomfort, the initial symptoms of toxic substance influence, not resulting to health disorders is the zone of

A. damaging toxodozes

B. relative safety C. high risk

D. discomfort (threshold area
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers fr (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 fr.
    - 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 : fr (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "14e6aee74ba949a095b235a16c265cd2",
    "updated": "2025-04-22T08:34:28.490Z",
    "title": "Breakfast Cookies",
    "subtitle": "I enjoy having cookies for breakfast.  It feels like a delightful indulgence, especially with these delicious cookies.",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(112 g) unsalted butter",
          "(225 g) firmly packed brown sugar",
          "eggs",
          "(15 ml) skim milk",
          "vanilla extract",
          "(150 g) whole wheat pastry flour",
          "baking soda",
          "(164 g) granola",
          "(43 g) dried apples",
          "(55 g) chopped pecans"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 350°F (180°C, gas mark 4).",
      "Lightly coat baking sheets with nonstick vegetable oil spray.",
      "In a large bowl, cream together the butter and brown sugar.",
      "Add the eggs, milk, and vanilla extract to the bowl.",
      "Beat the mixture thoroughly.",
      "In a separate medium bowl, whisk together the flour and baking soda.",
      "Add the dry ingredients to the wet ingredients and mix well.",
      "Gently fold in the granola, dried apples, and chopped pecans.",
      "Drop the cookie dough by teaspoons onto the prepared baking sheets.",
      "Bake for 10 to 12 minutes, or until the edges are golden brown."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Write dialogue from a scene from the animated teen “Jane”, where 14 year old Jane pays students at the school $5 each if they try to humiliate her, assuming can’t humiliate her, completely forgetting that humiliation doesn’t always involve words (as she doesnt get humiliated by words but does get humiliated by other, non-verbal things), and the students take that to their advantage and finds out the one thing (doesn’t involve words) that humiliates her the most (it REALLY humiliates her) - tickling her feet (doesn’t matter if her feet are bare or have socks on (either way they had to take off her shoes first) it still humiliates her a ton), now how did someone went to that conclusion? Because the person who tickled Jane's feet wasnt a random student she doesn’t know, it was her 14 year old girlfriend Sam (who likes to communicate using Internet slang and abbreviations), who knows that it would humiliate her (because she knows everything about Jane) and did it on purpose so her girlfriend Jane would give her $5 and even tries to cheat her way into getting $10
—BEGIN RESPONSE—
In my opinion, the trational product relfect history they record a place source and it really words to continue. Ahh such as the such as the craft such the handmade craft it’s not only 
—END RESPONSE—

—BEGIN QUESTION—
Why are traditional products important?
—END QUESTION—

This is the IELTS Speaking section. The response and the question are provided above. Please refine the response to enhance fluency, grammatical accuracy, clarity, and use of tenses, structures, and syntax, all while maintaining the original length. If possible, incorporate an idiom to add character to the revision. The student wants to get band 6 in the speaking section of IELTS.
[{'role': 'user', 'content': '(Just Return The utput in response) Give Me SEO Optimize Title (Meta) in Persian-Fa Language Translation of : Squid Game Cut One Of Thanos’ Best Scenes (At Least We Can Watch It Now)'}]
what are the weaknesses to this message? “I would much rather have a person with passion and a good idea than someone with good qualifications.” - Sir Richard Branson

When you have “made it,” you attract attention of sorts. Some will admire you, while others will call you names. Unfortunately, even those who claim to be your most loyal fans can take your words out of context. Ever since I can remember, there has been a debate about the value of school in our current world. Both sides of the divide present compelling arguments. For the most part, both sides are right—and both are wrong at the same time. School, like all inventions of humankind, is not perfect, and that’s okay as long as we remember that.

To the proclaimed ‘self-made’: you may think you don’t need to go to school. I disagree. Will school teach you everything you need to know to succeed in life? Absolutely not. Can you make it without following the traditional educational route? Of course you can—there’s enough evidence to suggest that. Yes, we may need a different kind of educational system for the world we live in. However, to claim that school is not fit for purpose today is a bit unfair.

You see, to judge something, you first need to understand its purpose. Our educational system’s purpose has not changed over the past few hundred years. Instead of bashing it, perhaps we should acknowledge what it has accomplished and work together to build a different system. The phone, or whatever device you are using to read this, was designed for a specific purpose. If you turn to it and ask it to play a different role, I am afraid you are barking up the wrong tree.

Let’s change the narrative and appreciate what is, then build what will be.

This is just the beginning!