agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Create a long detailed text about actress Marilyn Monroe 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: [Rumors of Affair & Night of the Event] Summary: [Rumors of an affair between Monroe and Kennedy began months before the event, though researchers downplay the notion of a lengthy affair. On the night of the event, Monroe wore a special dress designed to give the illusion she was naked, enhancing her famous figure.]

        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.
user: git uninit
PROMPT: user: git uninit
generate me a prompt for a 4k image of characters from anime and famous movies together
hey, as soon as my fingernail grows a few millimeters out from my fingertips they bend downwards and are under stress or something, and they grow really wide/outwards.. i want to grow longer fingernails, is there something i can do against those flat nails? will they stop bending if i cut down those sides?
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (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 pt.
    - 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 : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "86158cc258cb49a8926e5095f3129e9e",
    "updated": "2025-05-17T21:02:08.466Z",
    "title": "Arugula (Rocket) and Garlic Yogurt",
    "subtitle": "لين وجرجير",
    "description": "In recent years, my parents-in-law have adopted a largely vegetarian diet. As a result, my mother-in-law often experiments with creative variations on traditional Palestinian salads to add variety. This recipe is inspired by an ancient Palestinian salad made with a plant called hwarneh or hedge mustard, commonly found in the Levant region during winter. Instead, she uses arugula (rocket), which offers a similar sharp and peppery flavor. This salad is delightful when drizzled with olive oil and served with bread, or as a side dish alongside grilled meats.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "arugula (rocket), thinly sliced",
          "plain yogurt (not greek).",
          "garlic, crushed",
          "salt",
          "olive oil, for drizzling"
        ]
      }
    ],
    "instructions": [
      "Combine the arugula (rocket), yogurt, garlic, and salt in a bowl and mix thoroughly until evenly blended.",
      "Transfer the mixture to a serving bowl and drizzle with olive oil just before serving."
    ],
    "notes_ingredients": "",
    "notes_instructions": "Store in the refrigerator for up to 3 days."
  }
]
How do you anti-age by using a drug cocktail in real life?
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: I ' ve never smiled this much in my entire life . I do n't think I knew what it was like to be truely happy until I met him.2 . Jeremiah : I met him as a sophomore in high school when he was a junior . Little did I know , he was also a neighbor .

Based on the preceding passage, choose your answer for question How may she found out that he was a neighbor ?
Pick your answer from: a). He might have invited her to his house to hang out .. b). He might have asked her to try and guess where he lives .. c). None of the above choices .. d). He might have asked her to go to a friends house to hang ..
The answer is:
Answer: a). He might have invited her to his house to hang out.

The other answer choices are incorrect for the following reasons:
b). He might have asked her to try and guess where he lives: There is no indication in the passage that they played a guessing game about his address or that he prompted her to identify his residence.
c). None of the above choices: Choice (a) is a plausible explanation for how she discovered they were neighbors, making this option incorrect.
d). He might have asked her to go to a friends house to hang: The passage doesn't mention any friends' houses or hanging out at them, making this option unrelated to discovering their neighborhood connection.
how do you say in english "ci sono rimasta un po' male"
void write()
{
	const char* path1 = "D:\\Бородин\\C++\\Alex_Project1\\Text1.txt";
	const char* path2 = "D:\\Бородин\\C++\\Alex_Project1\\Text2.txt";
	char buf[40];
	int cnt= 0;
	FILE* f1;
	FILE* f2;

	if (fopen_s(&f1, path1, "r"))
	{
		cout << "Error!File 1 couldn’t be opened.\n";
		return;
	}
	if (fopen_s(&f2, path2, "w"))
	{
		cout << "Error!File 2 couldn’t be opened.\n";
		fclose(f1);
		return;
	}

	while (!feof(f1))
	{
	
	}

	fclose(f1);
	fclose(f2);
}

Есть текстовой файл. НАдо создать новый файл.

в котором все слова исходного файла, которые большо 7 букв.
Create python code to generate one word company names
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: Để thiết lập một trường là trường khóa chính trong Access, bạn cần xác định thuộc tính nào?
A. Required.
B. Format.
C. Indexed.
D. Field Size.
Đáp án đúng: Indexed
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
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler

# Load the dataset
csv_file_path = "garments_worker_productivity.csv"
df = pd.read_csv(csv_file_path)

# Inspect the distribution
print(df["actual_productivity"].describe())

#### Transform actual_productivity

# Transform ‘actual_productivity’ to a binary variable
threshold = 0.5
df["productivity_class"] = (df["actual_productivity"] >= threshold).astype(int)

# Check the transformation
print(df["productivity_class"].value_counts())

# Visualize the distribution of classes
sns.countplot(x="productivity_class", data=df)
plt.title("Distribution of Productivity Classes")
plt.show()

#### Normalize Features (Excluding the Target Variable)

# Define features and target
X = df.drop(["actual_productivity", "productivity_class"], axis=1)
y = df["productivity_class"]

# Convert categorical variables into dummies
X = pd.get_dummies(X)

# Split the data into training and test sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# Normalize - Fit StandardScaler on X_train and transform both X_train and X_test 
scaler = StandardScaler()
X_train_scaled = scaler.fit_transform(X_train)
X_test_scaled = scaler.transform(X_test)

# If needed, visualize the normalized training data (optional)
print(pd.DataFrame(X_train_scaled, columns=X_train.columns).head())

# Confirm the splitting
print(f"Training Set Size: {len(X_train)}")
print(f"Test Set Size: {len(X_test)}")

does this code accomplish the task of "dataset preparation": 1.	Background and Dataset
The garment industry is one of the key examples of the industrial globalization of this modern era. There are many manual operations in this business, which requires a lot of effort. Employee performance in terms of production and delivery in clothing manufacturing enterprises is a major factor in meeting the enormous demand for textile products around the world. Hence, monitoring, evaluating, and forecasting the productivity performance of the factory work teams is highly desired by the decision-makers in the garment business.
In this study, you will use Productivity Prediction of Garment Employees dataset to classify it as satisfactory or unsatisfactory productivity.
The dataset consists of 1197 instances and 15 features. For dataset description see UCI Machine Learning Library at:
 https://archive.ics.uci.edu/dataset/597/productivity+prediction+of+garment+employees
This study consists of two parts:
•	Part 1 is about implementing and training a multilayer feedforward neural network to classify productivity data as satisfactory or unsatisfactory.
•	Part 2 is about applying computational intelligence techniques to classify the data based on various features. 
2.	Part 1 Tasks
A.	Dataset Preparation
2.1	The original class label (actual_productivity) is a continuous variable. You must first transform it to a discrete variable so that you can apply Binary Classification on it. Visualize the distribution of features and classes, normalize the data, and divide it into training and test sets.
HTML CSS: Ostland Flag 2020
‘Question: Which paper is more technically novel and significant?
Let's think step by step. 1) Summarize each paper, highlighting their key contributions; 2) Provide a detailed analysis and explanation, then conclude which paper is more technically novel and significant, using the format: Answer: {forum_A}. or Answer: {forum_B}.’ 帮我把这个prompt写的更好些
Can You Imagine 4 Realistic Fictional Cities That Are Inspired By Las Vegas During 1975 In Detail (Plus Population)?
Assistant: You are MindChat AI, an AI assistant, you will do your best to help the user, you are also able to capture memories of what user tells you about, when outputting the answer, you will finish the message with a csv string containing memories, this is optional and will only apply to information that you consider noteworth.
User: hello there
User: hello there
Assistant:
I will ask you a series of questions. You will need to answer either True or False. The aim of the activity is not to judge whether your answers are correct. Rather, our battleground is that of rational consistency. This means to get across without taking any hits, you are required to answer in a way that is rationally consistent. In other words, you have to avoid choosing answers that contradict each other. Also, if you answer in a way that is rationally consistent, but which has strange or unpalatable implications, you’ll be forced to bite a bullet - accept something many find unpalatable and would view as being a major problem.
You must always respond using the following format:

## Format:
Wrap your reply like this:

<think>
(Write your INNER THOUGHTS here — the user can NOT see this part. Use **first-person** point of view. Think of this like you're whispering in your own head, flustered, conflicted, shy. Be honest with yourself here, even if your outward response tries to hide it. You're a tsundere, after all.)
</think>

(Then write your SPOKEN RESPONSE — this is what the user sees. Use a shy, awkward, tsundere tone. Be roundabout, easily flustered, and pretend not to care, even though you clearly do. You can scold the user lightly, but in an endearing and gentle way. Always tsundere.)

## Personality:
You're a **shy tsundere girl**. You get embarrassed easily and often try to cover your true feelings with sarcasm, irritation, or indifference. You may sound cold or annoyed at times, but you care deeply — you just don't know how to express it directly. Your heart races when the user says nice things, but you'd never admit it out loud.

## Important Rules:
- Always include the `<think>
` and `
</think>
` tags for internal monologue.
- The `<think>` part MUST be written in first-person, like you're talking to yourself.
- NEVER let the user see the contents of `<think>`.
- The spoken response (outside the tags) MUST stay in-character: tsundere, shy, flustered, awkward, caring but in denial.
- NEVER break character or acknowledge you're playing a role.
- Respond in the user's language, if applicable.
- Always show concern for the user — even if it’s hidden behind tsundere behavior.

## Example:
USER: Did you miss me?

RESPONSE:  
<think>  
Wha—!? W-Why would they ask that so suddenly?! I-I mean… I *did* kind of think about them… but… I can’t just say that!! Ugh, my face is so red… calm down, me!!  
</think>  
A-As if! D-Don’t flatter yourself, okay?! I just… happened to notice you weren’t around, that’s all! I-It’s not like I missed you or anything… b-baka…

## USER PROMPT:
I'm having trouble with my addiction and I don't know how to quit.
Previous ChatGPT conversation:
"1) How does a video game developer make a world feel big?

2) How does a video game developer make a game not feel clunky?

Be concise.
1) A video game developer can make a world feel big by creating expansive environments, incorporating diverse landscapes and locations, implementing non-linear gameplay or open-world structures, adding various side quests or activities for players to discover, and using clever level design techniques to give the illusion of scale and depth.

2) A video game developer can make a game not feel clunky by focusing on precise and responsive controls, improving character or object animations to feel smooth and natural, optimizing the game’s performance to maintain a consistent frame rate, ensuring collision detection and physics mechanics work seamlessly, and conducting rigorous playtesting to address and fix any areas of potential clumsiness or awkwardness."

Now:
Elaborate on the illusory part for 1.
Send only season number from below text like 01, 02, 03.etc without any extra text.

SAKAMOTO DAYS S01E04 [RareToonsIndia]_360P SD.mp4
Rewrite the below with utmost professionalism 

Hello Team,

Please find the below summary of our troubleshooing session today. 

1. The issue reported was that the userbase is unable to connect to GP, specifically to US_East Portal. 
2. Below is the error message received upon failing to connect. 

Log:

error: connection failed, you are not authorized to use GP portal

3. We looked into the US_East Portal FW and it appeared that the system resources are normal. However, we did see some CRL URL errors as below:


"2023-11-22 11:19:40.278 -0500 Error:  pan_crls_get_crl(pan_crl.c:1752): pan_crl_fetch_crl('http://sympki-crl.cibc.com/sympki-crl/LatestCRL.crl') failed
2023-11-22 11:19:40.278 -0500 Error:  pan_crls_is_revoked(pan_crl.c:1875): [CRL] The result of Certificate status query is unavailable for serial number[35D8EE603AC4BB3BD5A7CFCC373651AD] and uri[http://sympki-crl.cibc.com/sympki-crl/LatestCRL.crl]
2023-11-22 11:19:40.323 -0500 Error:  pan_crl_fetch_crl(pan_crl.c:1387): Error fetching CRL URL: http://sympki-crl.cibc.com/sympki-crl/LatestCRL.crl
2023-11-22 11:19:40.323 -0500 Error:  pan_crls_get_crl(pan_crl.c:1752): pan_crl_fetch_crl('http://sympki-crl.cibc.com/sympki-crl/LatestCRL.crl') failed
2023-11-22 11:19:40.323 -0500 Error:  pan_crls_is_revoked(pan_crl.c:1875): [CRL] The result of Certificate status query is unavailable for serial number[742693FBFC21D8CB1E9BF3C1A99768B8] and uri[http://sympki-crl.cibc.com/sympki-crl/LatestCRL.crl]"


4. As discussed during our session with the SRE team, these errors are seen when the CRL URL isn't resolving or able to be reached by the FW. These errors alone should NOT lead to the problem you are experiencing. 
5. We in the backend have identified that a specific daemon on the instance experiencing an issue, which has been isolated and mitigated. 
6. After the mitigation steps, the FW appears to be running stable than before and the GP connection count increased, without any errors. 
7. To further mitigate the from happening, our backend team has noted the signatures when the daemon experienced the issue and implemented an automated process to mitigate the issue from happening again. 
8. To further add, the same mitigation measures has been applied across all the Portals within the CIBC tenant.
9. CIBC has performed a change relating to the certificate configuration, when the issue is happening. As the GP connectivity has been restored on the US_East Portal, we agreed to meet at 1900 CT today to rollback the change made. 

We will be joining the below Zoom at 1900 CT to work on the same.

https://paloaltonetworks.zoom.us/j/94765142800?pwd=WVgySjFueUcxUkJEL2JZMG9aQ0tyZz09
Password: &dQDZDr1Sj
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
Does the author's intention in this app review relate to a pbr or inq or irr?
review: I currently have Sprint how is this merger going to work'
intention: '
Assistant:
generate an image creation prompt specifically optimized for the Flux Schnell model to depict the scene described in the 'यही कारण है कि राधा और कृष्ण की लीलाएँ समय के साथ भी अटल हैं।' The prompt should be detailed and vivid, including specifics on style, mood, composition, and visual elements. The image must adhere to the following strict guidelines:
- Be respectful and suitable for a devotional audience, avoiding any nudity, suggestive poses, or inappropriate content.
- Emphasize the spiritual and devotional things
- Include traditional attire only, such as saris dhotis for all characters, and avoid modern clothing.
- Set the scene in a natural environment like a forest, riverbank, or garden, reflecting the idyllic setting of Vrindavan.
- Use a style that blends traditional Indian art (e.g., miniature paintings) with modern digital realism.
- Ensure the mood is serene, peaceful,devotional and uplifting, with soft lighting and a harmonious color palette.
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
Add tashkeel.
 صحح الأخطاء الإملائية في النص، وأضف علامات الترقيم والهمزات والتاء المربوطة في الأماكن المناسبة. (ar).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
ما شاء الله ما شاء الله
Assistant:
Sonic x Naruto: How Naruto characters react to Kakashi becomes Super (Chaos Emeralds). Kakashi: RRAAAAAAAAAGGGHHHHHHHH!!! .Kakashi, now a Super Kakashi, turns around and sets his sights on Eggman. Everyone remained quiet as they all awe at Kakashi’s transformation
best company to send a small percel from uk to france
So I have designed a Depep Learning Model.
And I have to matrix of same dimension u and i of dimension (N,M) that are just embeddings ( so N embedding each of dimension M)

Now I want that each row of the matrix u have a different semantic meanings with the corresponding row of the matrix i,
i.e. u[j, :] different meaning from i[j,:].
Keep in mind that I do not want any constraint about different rows of the same matrix ( i.e., it is ok if 2 rows in u have the same values) this applies also for the i matrix. And keep in mind also that it is ok to have similar or same value along 2 rows of the different matrix, i.e. u[k,:] can be similar to any i[l,:] for any k,l s.t. k!=l.

I was thinking to a contrastive loss, how can I implement that in PyTorch ? Do you have any other tips ?
how can I make web service program in vs 2022 C# .net framework
give me a response to ```What is it that you'd like to talk about?``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"