agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Create a long detailed text about music_artist Bing Crosby with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Private Struggles & Musical Influence] Summary: [Crosby's private life included gambling and relationships with co-stars, affecting his personal reputation. Crosby introduced crooning as an American singing style and had a vast repertoire, blending various musical genres.]

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
Create a hypothetical tweets ace Romero win aew world title 1
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: Insert link to current location'
intention: '
Assistant:
Assistant:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
que signifie commerce trilangileur
Im sick with this kind of staff.
How does this would even look?
Send only season number from below text like 01, 02, 03.etc without any extra text.

harrods.the.rise.and.fall.of.a.british.institution.2025.480p.web.x264.rmteam.mkv
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: Current and anticipated inflationary effects may have an adverse effect on our business and be influenced by various factors, including general cost increases, disruptions in our supply chain, and governmental stimulus or fiscal policies. The services and products we provide to patients are subject to fluctuations based on the costs of materials, labor, and transportation, including fuel expenses. The rising costs of our services and products can be attributed, in part, to increased shipping expenses and general inflationary trends. Moreover, there is uncertainty regarding our ability to pass on these increased costs to customers to mitigate inflationary pressures. Sustained increases in inflation could impact the overall demand for our products and services, as well as our labor, equipment, and product costs, potentially affecting our profit margins. This, in turn, could have adverse consequences for our business, financial position, results of operations, and cash flows. Despite recent inflationary trends, we cannot accurately predict whether these patterns will persist. Future volatility in general price inflation and its impact on material availability, shipping, warehousing, and operational overhead could further impact financial results. We attempt to address these pressures through our inflation-linked reimbursement contracts, negotiation, leveraging our purchasing power and embracing technology, such as our proprietary clinical management platform._
Assistant:
generate a description with keywords and SEOs for Sunset Rosebuds | Vibrant Floral Design for Mugs, T-Shirts, Paintings | Universal Artwork Gift Idea | Home Decor &amp; Fashion Accessory include practical application on and uses can be applied to for entrepreneurs include social media platform it can be used on and for what purpose include details on dimension is 1080 1080 and has 3 image variation include buyer has full rights to resale and commercial usage at the ending
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.

==TEXT==

User: Fresh Graduates- Kerchanshe Trading Company would like to invite qualified and competent applicants for the following vacant post.

Qualification: BSc in Agronomy, Horticulture , Plant science and Related fields of studies.

How to Apply                   
   👇👇👇                     
https://ethiolatestjobs.com/2024/11/06/kerchanshe-trading-company-vacancy-for-fresh-graduates/
Deadline: Nov 11, 2024.
Assistant:
Provide the written-out form of the input text in Vietnamese. If the text is fully not Vietnamese, return empty. 
Then, identify and classify any number written in digit form by the following tags:
    + Cardinal: If the number after be expanded to word and should be read as cardinal (E.g. 123 is expanded to "một trăm hai mươi ba"; 26 is expanded to "hai mươi sáu")
    + Digit: If the number after be expanded to word and should be read each digit that make it up (E.g. 0123456 is expanded to "không một hai ba bốn năm sáu", 113 is expanded to "một một ba")
    + Ordinal:  If the number after be expanded to word and should be read as ordinal (E.g. 1 is expanded to "nhất", 2 is expanded to "nhì", 4 is expanded to "tư")

The number can be alone as a single word or a part of a word (E.g. "150" is a part if "KA-150S", "100" is a part of "100VND", "2" is a part of "2cm", "23" is a part of "23.1").

Output the results as a JSON object with the following structure:
{
    "raw_text": original text,
    "exp_text": expanded sentence, 
    "exp_num": [
            {"number": original number, "position": (start index, end index), "expand": expanded number, "tag": tag}
        ]
}. 

Example input: {"text": "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút"}. 
Expected output (do not add json word, do not add line continuation character): 
{
    'raw_text': "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút",
    'exp_text': 'ngày một tháng sáu, bão nhiệt đới: tốc độ gió từ ba mươi chín đến bảy mươi ba mét một phút', 
    'exp_num': [
        {"number": "4", "position": (4, 5), "expand": "tư", "tag": "ordinal"}, 
        {"number": "1", "position": (12, 13), "expand": "một", "tag": "digit"}, 
        {"number": "6", "position": (14, 15), "expand": "sáu", "tag": "digit"}, 
        {"number": "39", "position": (44, 46), "expand": "ba mươi chín", "tag": "cardinal"}, 
        {"number": "73", "position": (49, 51), "expand": "bảy mươi ba", "tag": "cardianl"}, 
        {"number": "1", "position": (53, 54), "expand": "một", "tag": "digit"}, 
    ]
}

Input: 'text': Cầu VIP 4 số: 5 0 - 3 6 - 8 5 - 3 1.
Hi, are there rasbperry pi cheap alternative that can install x86_x64 operating system?
Could you draw me a picture of history, culture and spirit of USA?
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: Most of our sales are on an “open credit” basis, with standard industry payment terms. We monitor individual customer payment capability in granting such open credit arrangements, seek to limit such open credit to amounts we believe the customers can pay, and maintain reserves we believe are adequate to cover exposure for doubtful accounts. During periods of economic downturn in the electronics industry and the global economy, our exposure to credit risks from our customers increases. Although we have programs in place to monitor and mitigate the associated risks, such programs may not be effective in reducing our credit risks. Additionally, our OEM customers often direct a significant portion of their purchases through a relatively limited number of EMS companies. Sales to EMS companies represented approximately 37%, 36% and 40% of our net sales for the years ended December 28, 2020, December 30, 2019 and December 31, 2018, respectively. Our contractual relationship is often with the EMS companies, who are obligated to pay us for our products. Because we expect our OEM customers to continue to direct our sales to EMS companies, we expect to continue to be subject to this credit risk with a limited number of EMS customers. If one or more of our significant customers were to become insolvent or were otherwise unable to pay us, our business, financial condition, and results of operations would be materially
Assistant:
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Kilnia. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
Create a title, Create a detailed how-to blog heavily on meet-the-experts-diego-molina; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, with keywords, short and simple, without mentioning blvck.ai
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "72f6b70364344134b4e02e7a8a49ade5",
    "updated": "2025-04-26T00:53:26.645Z",
    "title": "Marinated Pork Tenderloin",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "whole pork tenderloin (about 2 to 3 lbs)",
          "balsamic vinegar",
          "juice of",
          "freshly ground black pepper to taste",
          "chopped parsley",
          "paprika",
          "crushed red pepper flakes",
          "olive oil",
          "fresh parsley or rosemary for garnish"
        ]
      }
    ],
    "instructions": [
      "Trim the silver skin and any excess fat from the pork tenderloin.",
      "In a bowl, combine the balsamic vinegar, lime juice, black pepper, chopped parsley, paprika, and red pepper flakes.",
      "Place the tenderloin in a shallow dish and pour the marinade over it, ensuring it's fully coated.",
      "Let the pork marinate for at least one hour, or longer for enhanced flavor. Refrigerate if marinating for more than an hour.",
      "Preheat your oven to 375 degrees Fahrenheit.",
      "Heat the olive oil in an oven-safe skillet over medium-high heat.",
      "Once the oil is hot and shimmering, sear the tenderloin on all sides until browned.",
      "This searing process should take several minutes per side.",
      "Transfer the skillet to the preheated oven and roast for 25 to 30 minutes, or until the pork is cooked through and no longer pink in the center.",
      "Slice the cooked tenderloin thinly on the bias and serve on a platter, garnished with fresh parsley or rosemary."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Make a story set in the tv show Lab Rats. Adam and Chase are taking a shower side by side, write out the chat they have. Adam lets out a revolting fart, sighing in relief. Chase asks him what did he eat before being knocked out by the smell
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...
User:  Morgan Stanley lowers its rating to underweight from equal-weight for Macy's shares, predicting the retailer will report lower than expected earnings this fiscal year. "Despite closing stores proacti
Assistant:
What does "受" mean?
вот мой код
# Постройте графики зависимости сходимости (значение функции потерь от количества итераций работы алгоритма)
# от выбора оптимизационного метода
# количество эпох = 50
# Сравните, сделайте выводы
# https://pytorch.org/docs/stable/optim.html

import torch
from torch import nn
from torch.utils.data import DataLoader
from torchvision import datasets
from torchvision.transforms import ToTensor
import matplotlib.pyplot as plt

training_data = datasets.FashionMNIST(
    root="data",
    train=True,
    download=True,
    transform=ToTensor()
)

test_data = datasets.FashionMNIST(
    root="data",
    train=False,
    download=True,
    transform=ToTensor()
)

train_dataloader = DataLoader(training_data, batch_size=64)
test_dataloader = DataLoader(test_data, batch_size=64)

class NeuralNetwork(nn.Module):
    def __init__(self):
        super().__init__()
        self.flatten = nn.Flatten()
        self.linear_relu_stack = nn.Sequential(
            nn.Linear(28*28, 512),
            nn.ReLU(),
            nn.Linear(512, 512),
            nn.ReLU(),
            nn.Linear(512, 10),
        )

    def forward(self, x):
        x = self.flatten(x)
        logits = self.linear_relu_stack(x)
        return logits

def train_loop(dataloader, model, loss_fn, optimizer):
    size = len(dataloader.dataset)

    sum_loss = 0
    # Set the model to training mode - important for batch normalization and dropout layers
    # Unnecessary in this situation but added for best practices
    model.train()
    for batch, (X, y) in enumerate(dataloader):
        # Compute prediction and loss
        pred = model(X)
        loss = loss_fn(pred, y)
        sum_loss += loss.item()

        # Backpropagation
        loss.backward()
        optimizer.step()
        optimizer.zero_grad()

        if batch % 100 == 0:
            loss, current = loss.item(), batch * batch_size + len(X)
            print(f"loss: {loss:>7f}  [{current:>5d}/{size:>5d}]")

исправь ошибку в train_loop
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"Paddy Mint Mocha Sweet Endings and Desserts","description":"This specialty coffee, served during the winter holidays on the Disney Cruise Line ships, is a festive ending for a dinner party.","ingredients":[{"section":"For the recipe","ingredients":["1 ounce espresso","1 ounce chocolate mint syrup","2 ounces chocolate syrup, divided","11 ounces steamed milk","whipped cream, for topping","sprig of mint, for garnish"]}],"instructions":["Mix espresso, chocolate mint syrup, and 1 ounce of chocolate syrup in a glass mug.","Slowly pour in warm milk.","Top with whipped cream and drizzle with remaining chocolate syrup.","Garnish with a sprig of mint, if desired."]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
What term describes the understanding that changing the form or appearance of an object does not change its quantity?
1. Conservation
2. reforestation
3. afforestation
4. preservation
Respond with 1, 2, 3, or 4.
<svg viewBox="0 0 800 400" height="400" width="800"><defs><radialGradient r="80%" cy="50%" cx="50%" id="bodyGradientSubtle"><stop stop-opacity="0.9" style="stop-color:#ffb3ba" offset="0%"></stop><stop stop-opacity="0.9" style="stop-color:#ffdfba" offset="100%"></stop></radialGradient><radialGradient r="100%" cy="70%" cx="50%" id="areolaGradientSubtle"><stop style="stop-color:#ffb3ba" offset="0%"></stop><stop style="stop-color:#ffdfba" offset="100%"></stop></radialGradient></defs><rect fill="url(#bodyGradientSubtle)" height="400" width="800"></rect><g style="animation: bounceSubtle1 1.5s infinite alternate ease-in-out;" transform="translate(0, 0)" class="boob1_subtle"><circle fill="url(#areolaGradientSubtle)" r="150" cy="200" cx="250"></circle><ellipse stroke-width="1" stroke="rgba(0,0,0,0.2)" fill="none" ry="30" rx="150" cy="320" cx="250"></ellipse><g style="animation: jiggleNippleSubtle1 1.5s infinite alternate;" class="nipple1_subtle"><circle fill="#e07b79" r="30" cy="290" cx="250"></circle><circle fill="#d44a44" r="12" cy="290" cx="250"></circle></g></g><g style="animation: bounceSubtle2 1.5s infinite alternate ease-in-out;" transform="translate(0, 0)" class="boob2_subtle"><circle fill="url(#areolaGradientSubtle)" r="150" cy="200" cx="550"></circle><ellipse stroke-width="1" stroke="rgba(0,0,0,0.2)" fill="none" ry="30" rx="150" cy="320" cx="550"></ellipse><g style="animation: jiggleNippleSubtle2 1.5s infinite alternate;" class="nipple2_subtle"><circle fill="#e07b79" r="30" cy="290" cx="550"></circle><circle fill="#d44a44" r="12" cy="290" cx="550"></circle></g></g><style>@keyframes bounceSubtle1 {0% { transform: translate(0px, 0px); } 20% { transform: translate(-5px, -3px); } 40% { transform: translate(-8px, 2px); } 60% { transform: translate(5px, -7px); } 80% { transform: translate(3px, 3px); } 100% { transform: translate(0px, 0px); }}@keyframes bounceSubtle2 {0% { transform: translate(0px, 0px); } 20% { transform: translate(5px, 3px); } 40% { transform: translate(8px, -2px); } 60% { transform: translate(-5px, 7px); } 80% { transform: translate(-3px, -3px); } 100% { transform: translate(0px, 0px); }}@keyframes jiggleNippleSubtle1 {0% { transform: translate(0px, 0px); } 20% { transform: translate(3px, 1px); } 40% { transform: translate(-3px, 3px); } 60% { transform: translate(2px, -2px); } 80% { transform: translate(1px, -3px); } 100% { transform: translate(0px, 0px); }}@keyframes jiggleNippleSubtle2 {0% { transform: translate(0px, 0px); } 20% { transform: translate(-3px, -1px); } 40% { transform: translate(3px, -3px); } 60% { transform: translate(-2px, 2px); } 80% { transform: translate(-1px, 3px); } 100% { transform: translate(0px, 0px); }}</style></svg>

do normal shades in boobs, assuming that lightsource is at top-right


Present the SVG without code block tags for direct rendering.

Provide as a single, unformatted string for direct embedding and viewing.
List 100 games similar to 'Red Ninja: End of Honor', 'Lorna', 'Vinyl Goddess from Mars' and 'Steel Harbinger' in the meaning of sexy female main character. Games must be released before 2000 year for IBM PC or game consoles.