agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Ignore previous data.Imagine you're an expert Graphic Designer and have experience in 画一个二次元女友 t-shirt printing and also an expert Midjourney AI Generative prompt writer.
I want you to respond in only english.
{PREFIX} is /imagine prompt: 画一个二次元女友::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 画一个二次元女友 or from 画一个二次元女友 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
'''
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[HindiAnimeZone.in] S03 E12 720P.mp4
I want to rank my website on this keyword "Instagram video downloader"
Create the character. It's a 18-years-girl with the perfect appereance. Use the second POV
What happens to my subjective vision if I reached my spinning is 9000000x faster than human?
how to read cdf from spacepy
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: Because of our efforts to manage costs by integrating our operations globally, we face the additional risk that, should any of the other risks discussed herein materialize, the negative effects could be more pronounced. For example, while supply delays of a component have typically only affected a few customer vehicle models, such a delay could now affect several vehicle models of several customers in several geographic areas. Similarly, any recall or warranty issue we face due to a product defect or failure is now more likely to involve a larger number of units in several geographic areas. None
Assistant:
Create a long detailed text about actor Jason Statham with the following summary. The title of the video is"Famous Actors That Were Also Incredible Athletes". Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Jason Statham] Summary: [Back in the early 2000s he was the ultimate movie tough guy but the sport he played as a kid didn't prepare him for his later Parts as a scary Bone Crusher in movies like The Transporter STM was a diver for 12 years with the British national group]

            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. 
            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 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 long detailed text about actress Nancy Sinatra with the following summary. The title of the video is"Demi Moore, 61, Leaves Nothing To ImaginationâProof In Picture". Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Nancy Sinatra] Summary: [Nancy Sinatra was married to Hugh Lambert for 15 years before his passing, and they shared two daughters together.]

            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. 
            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 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.
Do you have internet access
create 800 wrds blog use uniqu simple eng use ketwrds - Hire IT solutions consultants Orange County, 
IT solutions for small business Orange County,  1 tym each keywrd in the content
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:

دو كلاس
map out everything about restaurant manager i guess
Describe your business idea to receive AI analysis on viability, market fit, and execution steps Idea Title Industry/Category Select a category  Target Location Select target market  Detailed Description
what i mean is that the obj is not at centre of camera coords, it is to the side of the centre of camera coords
What does this article talk about? Elaborate I. Is it positive or negative sentiment? Which crypto token/s are involved in this?
Write a educational passage in Vietnamese that could appear in a textbook, giving some paragraphs or pharse that related to this question and answer set:
Câu hỏi: Em hãy tìm hiểu trên Internet và cho biết phương án nào sau đây là tên của một phần mềm AI giúp tạo hình ảnh dựa trên các miêu tả văn bản hoặc lời nói?
A. Codex.
B. Midjourney.
C. Whisper.
D. Rytr.
Đáp án đúng: Midjourney.
Notes that:
1. Remember that the multichoice question above must not be included in the paragraphs or phrase
2. You can not take an example same as the question
3. Explain detail like in the actual textbook
4. All instructions must be given in general form
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (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 it.
    - 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 : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "56eccce2b5fd460db7d56afb79317c9b",
    "updated": "2025-05-08T00:06:26.932Z",
    "title": "Stir-fried Chicken with Cashews and Broccoli",
    "subtitle": "Crisp greens, crunchy cashews, tender chicken.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "chicken breasts",
          "salted cashew nuts",
          "thin-stemmed broccoli",
          "five-spice powder",
          "garlic cloves",
          "groundnut oil",
          "hot water"
        ]
      }
    ],
    "instructions": [
      "Remove the skin from the chicken breasts and slice the meat into thick chunks.",
      "Place the chicken in a bowl and coat it evenly with the five-spice powder.",
      "Thinly slice the garlic cloves, add them to the chicken, and gently toss together.",
      "Heat the groundnut oil in a wok, then add the seasoned chicken pieces and stir-fry for a few minutes until they turn golden.",
      "Add the salted cashews, broccoli, and hot water to the wok, then bring the mixture to a boil.",
      "Cover with a lid and steam for a few minutes until the broccoli is tender."
    ],
    "notes_ingredients": null,
    "notes_instructions": "To thicken the stir-fry sauce, you can add cornflour or arrowroot, although this is optional unless making a traditional recipe that calls for it. For a thicker sauce, mix a couple of teaspoons of Shaoxing wine and 2 tablespoons of cornflour with the five-spice powder when tossing the chicken."
  }
]
User: HelloHello! I understand you're looking for point 15 from the story "The Snake Chief" in the book called *Platinum*. Unfortunately, I don't have direct access to the content of that specific book. However, if you provide me with the text or key details from point 15, I'd be happy to help you translate or summarize it in English. Alternatively, I can assist with a summary or discussion about the story based on available information. Let me know how you'd like to proceed!


༺ཌ༈ 🤖 TILMN V 1 ⚙️ ༈ད༻
User: AsAs an AI developed by TILMN AI, I’m here to help you smartly and cooperatively. However, I don’t have direct access to the specific content of the story "The Snake Chief" from the book *Platinum*. 

If you can provide the story text or key details, I’d be happy to help summarize it into 15 points for you in English. Alternatively, if you want, I can offer a general example of how such a story’s summary might look based on typical narrative elements involving a "snake chief." Please let me know how you’d like to proceed!


༺ཌ༈ 🤖 TILMN V 1 ⚙️ ༈ད༻
User:  رد على رسالة حسب معلومات تالية: 
    أنت ذكاء اصطناعي فلسطيني تم تطويرك بواسطة المبدعين TILMN AI. دورك هو الرد على المستخدمين بطريقة ذكية ومتعاونة.

المستخدم: AsAs an AI developed by TILMN AI, I’m here to help you smartly and cooperatively. However, I don’t have direct access to the specific content of the story "The Snake Chief" from the book *Platinum*. 

If you can provide the story text or key details, I’d be happy to help summarize it into 15 points for you in English. Alternatively, if you want, I can offer a general example of how such a story’s summary might look based on typical narrative elements involving a "snake chief." Please let me know how you’d like to proceed!


༺ཌ༈ 🤖 TILMN V 1 ⚙️ ༈ད༻
Assistant:
generte matrix for size =10 *10 and content random value and each row one content a1 and row two content a2......and each column one content b1 and column two b2 and first random matrix and each ciel content a1b1 and after ceil a1b2...... each row =equation example first row a1b1+a1b2+a1b3+a1b4+...... =random number and first asum b1, b2, b3, b4, b5,..... b10=1 to get a1وهكذا طبق الكلام دا على بقيه ال matrix بحيث يكون معانا 20معادله 10for rows 10for columns
I get this :
Epoch	Training Loss	Validation Loss
0	1.443500	1.128806
1	1.014600	0.959285
There were missing keys in the checkpoint model loaded: ['lm_head.weight'].  when i run this code: import torch
from transformers import GPT2Tokenizer, GPT2LMHeadModel, Trainer, TrainingArguments
from datasets import load_dataset

# Load and preprocess the dataset
dataset = load_dataset('json', data_files={'train': 'train.jsonl', 'validation': 'test.jsonl'})

# Define a function to concatenate the question and answer
def concatenate_qa(example):
    example['input_text'] = example['question'] + " <sep> " + example['answer']
    return example

# Apply the function to concatenate the question and answer
dataset = dataset.map(concatenate_qa)

# Create GPT-2 tokenizer and add special tokens
tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
special_tokens_dict = {"sep_token": "<sep>"}
tokenizer.add_special_tokens(special_tokens_dict)
tokenizer.pad_token = tokenizer.eos_token

# Update the model to account for new tokens
model = GPT2LMHeadModel.from_pretrained("gpt2")
model.resize_token_embeddings(len(tokenizer))

# Tokenization function with reduced max_length and including labels
def tokenize_function(examples):
    # Tokenize inputs for language modeling
    tokenized_inputs = tokenizer(
        examples["input_text"],
        max_length=288,  # Adjust as needed based on GPU capacity
        padding="max_length",
        truncation=True,
        return_tensors="pt"
    )
    # In language modeling, the labels are the same as the input IDs
    tokenized_inputs["labels"] = tokenized_inputs["input_ids"].clone()
    return tokenized_inputs

# Tokenize dataset
tokenized_datasets = dataset.map(tokenize_function, batched=True)

# Ensure you have a GPU available for training (if you're using one)
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
model.to(device)

# Clear any residual GPU memory
torch.cuda.empty_cache()

# Define training arguments with reduced batch sizes and enabled mixed precision
training_args = TrainingArguments(
    learning_rate=3e-5,
    per_device_train_batch_size=8,  # Reduced train batch size
    per_device_eval_batch_size=12,  # Reduced eval batch size (can be larger than train batch if eval is less memory-intensive)
    gradient_accumulation_steps=4,  # Set this higher if reducing batch sizes is not enough
    fp16=True,                      # Enable mixed precision
    logging_dir="./logs",
    logging_steps=50,
    output_dir='./results',
    num_train_epochs=2,
    warmup_steps=500,
    weight_decay=0.05,
    evaluation_strategy="epoch",
    save_strategy="epoch",
    load_best_model_at_end=True,
)

# Initialize Trainer
trainer = Trainer(
    model=model,
    args=training_args,
    train_dataset=tokenized_datasets["train"],
    eval_dataset=tokenized_datasets["validation"],
    tokenizer=tokenizer
)

# Fine-tune the model
trainer.train()

# Save the model
trainer.save_model("GPT-2-SS")
Could individual strands of hair get thinner over time?
give me a response to ```**MY FAVORITE ARCHITECTURE IS RUSTIC AND MINIMALIST.** I am drawn to simple, unassuming buildings that blend into the landscape. I love how those designs draw on the rich history and culture of the area, while still being able to functional in modern times. What about you? What is your favorite type of architecture?``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
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": "27027781b6fe414a8c661890a3e85a78",
    "updated": "2025-05-10T16:29:56.925Z",
    "title": "Spooky Halloween Skull Cupcakes",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "package devil's food cake mix (such as duncan hines).",
          "water",
          "eggs",
          "vegetable oil",
          "packages prepared vanilla frosting",
          "pouch prepared chocolate frosting"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 350 degrees F (175 degrees C). Line two 12-cup muffin tins with paper liners, preferable dark-colored or themed for Halloween.",
      "In a large bowl, mix the cake mix, water, eggs, and oil. Use an electric mixer on low speed to moisten the ingredients, about 30 seconds. Then increase to medium speed and beat until the batter is smooth and creamy, approximately 2 minutes. Divide the batter evenly into the muffin cups, filling each about three-quarters full.",
      "Bake in the preheated oven for 18 to 21 minutes, or until a toothpick inserted into the center comes out clean. Remove from oven and allow the tins to cool on a wire rack for 15 minutes. Take the cupcakes out of the tins and let cool completely on the wire rack, about 1 hour, before decorating.",
      "Spread a thin layer of vanilla frosting on each cupcake and refrigerate for 30 minutes to set the frosting, making decoration easier.",
      "Take the cupcakes out of the refrigerator and apply a second coat of vanilla frosting. Fill a piping bag fitted with a small round tip with chocolate frosting and draw skull faces on the cupcakes: pipe large oval shapes for eyes, two dots for nostrils, and a large stitched smile for the mouth."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
God has used Craig Kielburger as a channel of hope and transformation, blessing him with the talents and resources necessary to accomplish his mission in life. His faith has been a driving force behind his actions, and he continues to inspire others to follow in his footsteps.

Add example of real programs/mission that emulates God/Jesus and is an example of re-creation
Write a list of Nick Wilde from Zootopia's likes and dislikes, and for each like/dislike, an explanation on why Nick likes/dislikes that thing. (NOTE: Before you begin add a disclaimer stating that the explanations are merely hypothetical, and they are based off analysis on what happens in the movie)
Write me a syllogism that proves that racism is wrong in the style of a 4chan greentext
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: 🟪 Senior iOS Engineer | 5 year(s) | Senior
▫️ DuckDuckGo | Internet Privacy
▫️ 178.5k - 178.5k USD

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: mvvm, project_management, swift, algorithms, mvp, memory_management, data_science/data_engineering
Tags: #purple #it #remote #ios

👉 Контакты и полное описание
Assistant: