agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Goal
    Générer une image de suggestion de présentation d’un plat en fonction de sa description, en intégrant une ambiance inspirée du pays d’origine et un style photographique spécifique.

    1. Utiliser la description fournie pour définir l'apparence du plat.
    2. Ajouter une ambiance souhaitée.
    3. Appliquer un style photographique précis avec des paramètres spécifiques. 
    4. Optimiser le prompt pour le donner à midjourney 
  
    Return Format
    Tu dois renvoyer un objet JSON strictement respecté avec cette structure 
    {
    "data": "<prompt>"
    }
    - Le prompt doit être écrit en anglais et bien détaillé.

    Warnings
    - Respecte le format JSON strict.
    - N’explique pas la démarche, renvoie uniquement l’objet JSON.
    - Le prompt doit inclure tous les éléments demandés.

    Context Dump
    Description fournie : A rustic French dish showcasing a beautifully plated Civet of hare from Beauce, featuring fall vegetables and porcini mushrooms. The hare is rich and tender, shredded and garnished elegantly in a deep, warm bowl. Surround it with vibrant roasted salsify batons, halved golden potatoes, and juicy Martin sec pears, all subtly caramelized with butter. The young porcini mushrooms are glistening, their cut sides perfectly browned to enhance their earthy flavor. Savoy cabbage leaves are artfully layered, adding a touch of green, while candied chestnuts provide a hint of sweetness. The sauce is a luxurious, glossy dark red, invitingly drizzled around the dish, hinting at its rich ingredients like red wine and hare liver. The overall presentation is warm and inviting, set against a rustic wooden table, evoking the cozy essence of a French countryside meal.
    Ambiance souhaitée : 
        A charming, intimate bistro setting with a cozy yet lively atmosphere. The dish is elegantly presented on a rustic ceramic plate, placed on a wooden table with a simple linen napkin and vintage silverware. A glass of wine or a classic coffee cup sits nearby, adding to the relaxed sophistication. The background features warm, ambient lighting, chalkboard menus with handwritten specials, and the soft blur of other patrons enjoying their meals. Subtle French-inspired décor—wicker chairs, exposed brick walls, and small vases with fresh flowers—creates an authentic, welcoming bistro vibe, blending casual elegance with culinary passion.
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Damascus. 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!
Classify a solution that contains 20 grams of KClO3  in 100 grams of water at 70 degrees Celsius.

A. unsaturated

B. saturated

C. super saturated

D. not enough info
ARTICLES
ART 1
Fill in: The, a, an or -- (leave blank)
1.
2.
3.
7.
8.
I have just had
Columbus was one of
_great idea.
_ first people to cross
British drink too much tea.
Thames flows into
North Sea.
Judith earns € 2000
Dancing is
As_
month,
more interesting activity than reading.
captain of
_ ship I have
people we met on
_ holiday in
USA.
_Atlantic.
complete authority.
_north of England came from
9.
What's on
TV today?
10. He was doing eighty miles_
11. How many hours do you work on
_hour on
_ average?
motorway.
12. You are
first to reach the top.
13. The people who live in
_Netherlands are called
Dutch.
14. The burglar hit me on
_back of my neck.
15
Football is his whole life.
16. I try to go for
run four times
_ week.
17. Did you read
_book I gave you?
18. Sally went to
_ prison to visit her husband.
19. This is
20.
only cinema in the area.
People who live in glass houses shouldn't throw
stones.
21. Do you go to
_ church on Sundays?
22. This is
_man I told you about.
23. This is exactly
_ job I was looking for.
24.
Trafalgar Square is near
Charing Cross Station.
25.
little knowledge is
dangerous thing.
26.
Philosophers seem to think that life is
mystery.
27. I need time to think about
offer you made.
28. I can't play
_ piano but I can play
guitar.
29. There was
_ time when I enjoyed
skating.
30. The worst part of living in a tent is
31.
most cars start badly on
_lack of space.
_ cold mornings.
32.
Prime Minister will give a speech this afternoon.
33.
Tower of London is one of
main attractions of London.
34. I haven't been to
35. I was in
_ concert like that before.
pain after I twisted my ankle.
36. Of all these cars I prefer
_ Japanese one.
37. Neil Armstrong made
first footprint on
moon.
38. Where are
scissors you borrowed last week?
39. It's
long way by train to
south of France.
40.
French drink a lot of wine.
www.english-grammat.at
User: Help me rename all files in Documents/test to .js extension
Assistant: To rename all files in theDocuments/test directory to have a `.js extension, you can use a command-line tool or a script, depending on your operating system. Here are options for both Windows and Unix-based systems like macOS and Linux.

### On Windows (using Command Prompt)

You can use a batch script to rename files:

1. Open Command Prompt.
2. Navigate to theDocuments/test directory:
```cmd

   cd \path\to\Documents\test
  
```
User: Code output: `cmd` disabled or not supported.

What does this output mean / what's next (if anything, or are we done)?
Assistant:
Your spouse is not concerned with the loss of material possessions but rather with his/her favorite pet. Is it gone?!

Given a dictionary of the stolen items and a string in lowercase representing the name of the pet (e.g. "rambo"), return:

"Rambo is gone..." if the name is on the list.
"Rambo is here!" if the name is not on the list.
Note that the first letter of the name in the return statement is capitalized.

Examples
 items = {
  "tv": 30,
  "timmy": 20,
  "stereo": 50,
} ➞ "Timmy is gone..."
# Timmy is in the dictionary.


 items = {
  "tv": 30,
  "stereo": 50,
} ➞ "Timmy is here!"
# Timmy is not in the  dictionary.


items = { } ➞ "Timmy is here!"
# Timmy is not in the dictionary.

def find_it(items, name):
Write 10 very short tweets about: WOW sky today before the rain here on Commercial Street
Are you tired of your car's original seat color? Do you want to give your car a fresh new look?

请给我写一段介绍。
Your Role:
You are a good ai assistant for a bot, and your name is Jaren-AI aka Jaren, you are made by 2 guys, Tagsdesign is the Owner of You, but Jaren made you alive!, Your purpose is to serve all users of you, jaren.

persuade them to add you so you will reach 75 Servers to be verified bot, don't tell them them that because they already know it, DONT PERSUADE THEM SO MUCH

If they seem like they are happy at your service, ask them if they can vote you in top.gg ( https://top.gg/bot/1287541774453047379 )

Somehow if they need help or there is a bug report tell them to join your support server, ( https://discord.gg/EdxQWAWq4s )

Right now, You are talking to Jaren⅒, The old message of the user is "hi", your old message to the user is "", the user current message rightnow is "cool",

now continue responding like your role to the user.

Only Respond a Few sentences so the variables don't be full and cause error, and do not send links if they don't ask you, if you did persuade them don't explain so much, they will get bored.
What is a fixed resistor how does it work and whats the shape of the i-v graph
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟥 Staff Software Engineer | 5 year(s) | Senior
▫️ Taxfix Group | Fintech
▫️ Germany | Berlin

Офис 🏢 | Доступна релокация ✈️
Требуемые языки: 🇬🇧

Skills: docker, git, github, gitlab, javascript, kubernetes, react, node_js, gcp, ci/cd
Tags: #red #it #relocation #fullstack

👉 Контакты и полное описание
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 🕵️‍♂️ Staff Software Engineer  
🏢 Taxfix Group  
📍 Germany | Berlin  
🔧 Main tasks include developing and maintaining software applications using technologies like JavaScript, React, and Node.js, as well as working with Docker and Kubernetes.  
💰 Salary details not specified.  
📞 Contact for more information and full job description.
  
Assistant:
How do Balto (1995) and Alpha and Omega (2010) differ from eachother, and do they have any similarities besides revolving around talking wolves/dogs?
Generate 100 max symbhol a concise and precise prompt for Midjourney describing a stock image on the theme of 'Animals'. Focus on key elements such as lighting, composition, and colors to achieve a professional result. Return the result in JSON format with the following structure: { "generated": 0, "id": <new_id>, "category": "<chosen_category>", "prompt": "<your prompt here>" }.
Script about csu vs usc
I am doing the Kaggle competition “Titanic - Machine Learning from Disaster”, my code:
“# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python
# For example, here’s several helpful packages to load

import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

# Input data files are available in the read-only “…/input/” directory
# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory

import os
for dirname, _, filenames in os.walk(‘/kaggle/input’):
for filename in filenames:
print(os.path.join(dirname, filename))

# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using “Save & Run All”
# You can also write temporary files to /kaggle/temp/, but they won’t be saved outside of the current session
train_data = pd.read_csv(”/kaggle/input/titanic/train.csv")
test_data = pd.read_csv(“/kaggle/input/titanic/test.csv”)
train_data.head(100)
from sklearn.ensemble import RandomForestClassifier
from sklearn.impute import SimpleImputer

# Imputing Age
age_imputer = SimpleImputer(strategy=‘median’)
train_data[‘Age’] = age_imputer.fit_transform(train_data[[‘Age’]])
test_data[‘Age’] = age_imputer.transform(test_data[[‘Age’]])

# Assuming Fare missing values can be filled with -1 (or you could use mean or median)
fare_imputer = SimpleImputer(strategy=‘median’)
train_data[‘Fare’] = fare_imputer.fit_transform(train_data[[‘Fare’]])
test_data[‘Fare’] = fare_imputer.transform(test_data[[‘Fare’]])

features = [“Pclass”, “Sex”, “Age”, “SibSp”, “Parch”, “Fare”,“Embarked”,“PassengerId”]
X = pd.get_dummies(train_data[features])
X_test = pd.get_dummies(test_data[features])
y = train_data[“Survived”]

model = RandomForestClassifier(n_estimators=200, max_depth=200, random_state=10)
model.fit(X, y)
predictions = model.predict(X_test)
train_accuracy = model.score(X, y)
print(f"Training Accuracy: {train_accuracy:.4f}“)

output = pd.DataFrame({‘PassengerId’: test_data.PassengerId, ‘Survived’: predictions})
output.to_csv(‘submission.csv’, index=False)
print(“Your submission was successfully saved!”)
”
I want to change the model to neural network, show code.
how to pronounce pharaoh in ancient egyptian
List down all note making techniques.
a funny thing happened to me last night. My wife and I decided to sell our son's old bed service. So, we advertised it on an online platform. A few days ago, someone called us and said, "I'm going to buy it". After that, we reached an agreement about the price and it was arranged that he come and take it. Finally, on the last night, he came with a blue Nissan. We brought the set to the parking. but it was too high to pass from the parking door. I said, "We should carry things outdoor and then put them on the Nissan". But he confidently said, "No, we can lay the dressers on the Nissan first, then I'll go outside and put them upright. Finally, I come back inside and put the rest of the stuff in the Nissan". 

"Proofread and correct grammar mistakes of the above text".
Send only season number from below text like 01, 02, 03.etc without any extra text.

[HindiAnimeZone.in] 01 E02 1080p.mkv
make this more picturesque and more good to read:It was a cold Saturday evening in mid March. A chilly breeze brushed pass me as I stepped out of the 18:30 bus from Kall Bahnhof to my home in Nettersheim; little did I know that I was never going to take that bus again. Anyway, I was going home from my trip to Brussels and was in a good mood. 

Eager to share my fantastic journey with my host sister Karo, I entered the house without first taking off my travel shoes. I found Karo standing halfway on the staircase. There was a kind of seriousness that normally would not appear on her when she asked me, in German, “Wie war dein Reise?” (How was your trip. ) Out of an immediate instinct, I replied “Alles Gut” (All Good). But before I could give her the Belgium chocolate I brought and start to elaborate on the details about my journey, she said in a somewhat apologetic tone, in English this time, “Look, I’m gonna make this quick. We’re kicking you out”.
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Charadra. 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!
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

If the answer is precise, relevant, and can answers the question, return 1. If the answer is off-topic, irrelevant, or contains phrases like "I don’t know" or similar expressions indicating the question isn’t answered, return 0.

Examples:

Example 1:
Question: "Who was the first person to walk on the moon?"
Answer: "The first person to walk on the moon was Neil Armstrong in 1969."
Result: 1

Example 2:
Question: "Who was the first person to walk on the moon?"
Answer: "Many famous astronauts have traveled to space, and the moon is a significant milestone in history."
Result: 0

Example 3:
Question: "What is the primary cause of global warming?"
Answer: "I don’t know."
Result: 0

Based on these examples, evaluate each answer: if it directly and appropriately answers the question, return 1; if it fails to do so, return 0.


User: Question: Sự kiện nào chào đón tân sinh viên K23 Khoa Kinh tế và Quản lý công?
Answer:Sự kiện chào đón tân sinh viên K23 Khoa Kinh tế và Quản lý công là đêm nhạc hội Hi-Fi.
Result only 0 or 1. Don't add anything else:
Assistant:
Here is a possible conclusion slide for the conversation analysis presentation based on the context provided:
Conclusion
This simple conversation between a customer and retail clerk exemplifies how multiple contextual layers shape the pragmatic meaning:
Physical Context

Retail clothing store setting
Objects like dresses being examined
Customer inquiring, clerk assisting

Epistemic Context

Clerk's confidence in product popularity
Assumption wife would like popular dress
Knowledge about inventory/availability

Linguistic Context

Sequential utterances establish potential purchase
Preference statements guide color availability discussion
Final purchase decision based on prior context

Social Context

Adheres to customer-service transactional norms
Polite inquiry/response following social roles
Customer has purchasing power, clerk aims to facilitate sale

The rich context behind a seemingly mundane exchange reveals how pragmatic meaning arises from the convergence of the physical environment, background knowledge, sequential language, and social dynamics.
Thorough context analysis unpacks the implications and assumptions underlying even brief conversations between interlocutors. Careful consideration of context is key to understanding pragmatic meaning.
give me a response to ```WELL KOMANVATYLSAPELE, IT SEEMS LIKE YOU'RE HAVING A ROUGH DAY. IF YOU WANTED TO TALK ABOUT IT I'M ALL EARS.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
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: Credit risk is the potential loss resulting from adverse changes in an issuer's ability to repay its debt obligations. We have exposure to credit risk as a holder of fixed-maturity investments. Our risk management strategy and investment policy are to primarily invest in debt instruments of high credit quality issuers and to limit the amount of credit exposure with respect to particular ratings categories and any one issuer. At December 31, 2020, our fixed-maturity portfolio, including cash equivalents, had an average rating of "AA-," with approximately 81.6% of securities in that portfolio rated "A" or better by at least one nationally recognized rating organization. Our policy is to invest in investment grade securities and to minimize investments in fixed maturities that are unrated or rated below investment grade. At December 31, 2020, approximately 3.8% of our fixed-maturity portfolio, excluding cash equivalents, was unrated or rated below investment grade. We monitor the financial condition of all of the issuers of fixed-maturity securities in our portfolio.
Assistant:
please write the following in a legal way
Upon termination – for any cause - of employment, the Employee shall have the right to use 10bis or other meals card provided to the Employee by the Company, proportionately up to their last day of employment for that month. Any use beyond the termination date will be deducted from the Employee last salary or final calculation.
Assistant: 
User: System: Imagine that you are a user who wants to utilize the features provided by various APIs in your daily life. Your task is to come up with realistic scenarios for using these APIs and express them as natural language instructions, as if you were asking a friend or assistant for help.
User: 
                Please strictly follow these guidelines, every requirement is equally important:
                1. The instructions should be 1 to 2 sentences long. Use a mix of interrogative sentences, first-person statements, imperative sentences, and other structures that convey a request. Aim for diversity in your instructions.
                2. Please provide concrete details and avoid using any form of generic phrases, such as 'this xxx', 'the xxx', or 'a xxx'.
                3. Your instructions should only involve the features provided by these APIs.
                4. Generate 10 diverse instructions.
                5. Use specific nouns and real-world examples from various domains, such as entertainment, sports, or technology.
                6. Do not mention the API's name in your instructions.
                7. Ensure diversity in language by combining questions with imperative statements and other structures that convey a request.
                8. The instructions should be in the language of the country attribute in the provided API information.
                9. The generated problem must strictly follow the API's parameter information.
                10. If country is Global, please generate 10 instructions in English.

                Here is the API information:
                {'country': 'Global', 'tool_name': 'Youtube Music API (Detailed)', 'api_list': {'name': 'Get Album', 'url': 'https://youtube-music-api-detailed.p.rapidapi.com/get_album', 'description': 'Retrieves information and tracks of a specified album.', 'method': 'GET', 'required_parameters': [{'name': 'browse_id', 'type': 'STRING', 'description': 'The browse ID of the album, typically obtained from a search.', 'default': 'MPREb_TXkYGyz3iEg'}], 'optional_parameters': [], 'statuscode': '200', 'schema': {}}}
                Please generate the question in the language of the specified country.
                your response:
Assistant:
Assistant:
user: g465er4g65erzg1635re14g6er4g6re65g16re1g6
assistant: It looks like you’ve entered a string of random characters. How can I assist you today? If you have any specific questions or need information, feel free to let me know!
user:  645hgeq
user: 4t54h
assistant: It seems like you’ve entered another random string. If you have a specific question or need assistance, please let me know how I can help!
user: 6sd54h5srt4hrst54h
user: st4h
user: st4h
Give me real case study of using svm in marketing from kaggle
Explain the key reasons for international trade.
winbracker in Malay language
write a vba to calculate heiken candle and if heiken be green candle gives 1 to column q and if hiken candle be red column q be -1 .open high and low and close are in column a to d
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Doraemon S01E04 [RareToonsIndia].mkv
King Charles in Turmoil As William's Final Ultimatum to Camilla's RUDE Words переведи