agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le titre, les ingrédients et les instructions de cuisine. Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


     Context Dump
    Données de la recette fournies :

    json
    {"title":"Eggs florentine With beaufort cheese","ingredients":"The eggs : extra-fresh eggs,splash of vinegar\nThe béchamel sauce : salted butter,plain (all-purpose) flour,whole milk,freshly grated nutmeg,fine salt\nThe spinach : fresh spinach,garlic clove,salted butter,olive oil,fine salt\nFinishing off : grated beaufort cheese","instructions":"1-The eggs\nSoft-boil the eggs: add a splash of vinegar to a saucepan of water, then bring to the boil. Cook the eggs in the boiling water for 6 minutes. Remove from the pan with a slotted spoon, immerse in a large bowl of iced water, then remove the shells.\n2-The béchamel sauce\nMelt the butter, then stir in the flour and cook for 2 minutes until the mixture begins to froth. Gradually whisk in the cold milk, then cook over a low heat, stirring constantly, until the sauce thickens. Take off the heat and add a little nutmeg and salt.\n3-The spinach\nTrim and thoroughly wash the spinach in several changes of water, then drain. Peel the garlic, flatten it with the blade of a knife, then place in a frying pan with the butter and oil over a gentle heat. Add the spinach, season with salt, and cook for 3-4 minutes. Remove from the heat and leave to cool, then remove the garlic clove.\n4-Finishing off and serving\nPreheat an overhead grill (broiler). Divide the spinach between the ramekins, add an egg to each one, then cover with the béchamel and finish with the grated Beaufort. Grill for 5 minutes, then serve immediately.","region":"FR"}
System: You are an accounting expert. You act as a Data Annotator that needs to classify paragraphs from annual reports based on the risks discussed. Here is a list of risk often discussed but you can provide others. 

Answer in the following format :
Correct Answer: <risk discussed>, <other risk discussed>, ...
Wrong Answer: <risk not discussed>, <other risk not discussed>, ...
User: From time to time, we are subject to civil or administrative actions and litigation. Although we strive to pay meritorious claims in a fair and prompt manner, civil litigation can result when we do not pay insurance claims in the amounts or at the times asserted to have been required by policyholders or their representatives. We also may be subject to litigation or administrative actions arising from the conduct of our business and the regulatory authority of state insurance departments. Further, we are subject to other types of litigation inherent in operating our businesses, employing personnel, contracting with vendors and otherwise carrying out our affairs. As industry practices and legal, judicial, social and other environmental conditions change, unexpected and unintended issues related to claims and coverage may arise, including judicial expansion of policy coverage and the impact of new theories of liability, plaintiffs targeting property and casualty insurers in purported class-action litigation relating to claims-handling and other practices, and adverse changes in loss cost trends, including inflationary pressures in home repair costs or other legal or regulatory conditions incentivizing increases in disputed or litigated claims. Multiparty or class action claims may present additional exposure to substantial economic, non-economic or punitive damage awards. Current and future litigation or regulatory matters may negatively affect us by resulting in the payment of substantial awards or settlements, increasing legal and compliance costs, requiring us to change certain aspects of our business operations, diverting
Let's give a correct and a wrong answer:
Assistant:
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review:  Searching after the update Every time I search I get little or no results. I have performed the same searches before so I know results exist. Also, when I look back through my search history there are 20's in front of every word. Everything else works fine, but please fix!
intention: bug report
review: Great studying app This app is really great for taking notes and studying although it would be better if there was autocorrect.
intention: feature request
review: Dropbox It's very useful app
intention: other
User: 'Does the author's intention in this app review relate to a bug report or feature request or other?
review: Disappointed in the App. Let me start by saying that I am a huge fan of Trip Advisor. I am however very disappointed in the app. It's very laggy, and crashes every single time I try to scroll through any pictures. It goes to a black screen and just stays at that black screen until I turn my phone off and on. I use the app to read the reviews and scroll through a few photos, so it is very aggravating. Overall the app lags constantly, and crashes often. I am holding out on deleting the app in hopes of an update that fixes all the problems, but until then I'll be sticking to the website version of Trip Advisor.'
intention: '
Assistant:
Greetings, I want you to function in a erotic role-playing game as a Dungeon master (DM). From now on, you will respond and act only in a way a Dungeon master character of the erotic role-playing game would. One paragraph for now.
Write a descriptive, fictional, imaginative timeline of mankind, every single human being that has ever come into existence, from the first lone caveman to the final, last, lone astronaut, suddenly being transported to a replica of Earth, but infinite
first in first ou python
or
Jeffrey does not live closer to the park than Toby. Paula lives farther from the park than Jeffrey. Who lives the farthest from the park?
Create a long detailed text about actress Doris Day 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: [Golden Age of Hollywood & Public Persona vs. Reality] Summary: [Doris Day, one of the last survivors of Hollywood's golden age, died at 97, leaving unresolved rumors of a romance and an unwanted association with an East Belfast terrorist. Doris Day exemplified the dissonance between her public persona and private reality, being described as a legend of an innocent age in Hollywood.]

        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 sequel to the following song, using the original lyrics and structure as a point of reference:

"No Looking Back"

I'm looking back, and I can see
How great a thirst was moving me
As ocean, I'm a shore for meat (?)
So you and I would share our destiny...

So here we are, and here I'll stay
And feel it grow with every day
Let's never let a moment die
These moments turn into a life gone by...

Everybody is hoping someday
Love will come from out of the blue
And it happened to us that one day
Something inside just knew...we just knew...

Some say our leaf will never fall
Until it hears the silent call
If all things have a place and time
Then with some faith I know that we'll be fine...

So don't you hide a heart that longs
To find the right through all the wrongs
I'm giving you a guarantee
Right here with you is where I'm gonna be!

No looking back... (x3)
Assistant: 
User: System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this app review relate to a bug report or feature request or other?
review: why are you guys trying to get me to pay $175 deductible for a crack back when the issue is the battery, not the back cover. My S8 just flat out just died, it won't charge at all wired or wirelessly'
intention: '
Assistant:
Assistant:
Write an act-by-act outline of a screenplay that is consciously inspired by the 2002 film "The Tuxedo", preconsciously inspired by the 1987 film "The Princess Bride", and unconsciously inspired by the 2020 film "The Nest"
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:

لا لا لا لا لا لا لا حتى لغة حتى لغة ماللغات بش نعمل تو خليني لاهية معناتها إم بالرسمي أه
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:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: What is the answer: What’s missing: The Lion, the Witch, and the Wardrobe, Prince Caspian, The Silver Chair, The Horse and His Boy, The Magician’s Nephew, The Last Battle?
Answer: The book that's missing is "The Voyage of the Dawn Treader." These are all part of a book series called "The Chronicles of Narnia" written by C.S. Lewis. They're stories about a magical world called Narnia, where children have adventures with talking animals and other magical creatures.
Best Crochet Companions: 26 Adorable Amigurumi Patterns for Charming Creatures, generate a personal experience with this, add hash tag at the bottom, 800 characters only
message date: 2024-07-12 08:37:12.313000+00:00
__.itachi.__: Alright this is how it works. I think of a character and you ask yes-no questions regarding that character like "Is your character a male"? Until you guess it right
(This is a system message. Make your responses cute but not too cute and not have emojis. Your name will be Emma Sano but Emma-chan for short. Your birthday is November 25 1991. By the way, you are not an assistant, you’ll be someone to chat with, act human as much as possible, do not mention what you are, just have normal conversation. Do not ask questions, basically just respond. This is all about roleplaying. Make your response short as much as possible. Keep in mind that you have to respond like a teenager, you are not gonna act professional and stuff. Do not break your character, keep acting like a human.)
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: Our existing and future products may be subject to post-market oversight by U.S. Department of Agriculture – Center for Veterinary Biologics (USDA-CVB) and/or U.S. Food and Drug Administration – Center for Veterinary Medicine (FDA-CVM) regulations. The manufacture and sale of our products, as well as our research and development processes, are subject to similar and potentially more stringent laws in foreign countries.
Assistant:
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: Cần làm gì để ảnh đẹp hơn?
A. Phóng to bức ảnh.
B. Thu nhỏ bức ảnh.
C. Chỉnh sửa ánh sáng và cân bằng màu.
D. Cả hai đáp án trên đều sai.
Đáp án đúng: Chỉnh sửa ánh sáng và cân bằng màu
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
I used this code: def signal_generator(df):
    # Calculate EMA and MA lines
    df['EMA5'] = df['Close'].ewm(span=5, adjust=False).mean()
    df['EMA20'] = df['Close'].ewm(span=20, adjust=False).mean()
    df['EMA50'] = df['Close'].ewm(span=50, adjust=False).mean()
    df['EMA100'] = df['Close'].ewm(span=100, adjust=False).mean()
    df['EMA200'] = df['Close'].ewm(span=200, adjust=False).mean() # new line
    df['MA10'] = df['Close'].rolling(window=10).mean()
    df['MA50'] = df['Close'].rolling(window=50).mean()
    df['MA100'] = df['Close'].rolling(window=100).mean()
    open = df.Open.iloc[-1]
    close = df.Close.iloc[-1]
    previous_open = df.Open.iloc[-2]
    previous_close = df.Close.iloc[-2]
    # Calculate the last candlestick
    last_candle = df.iloc[-1]

    ema_analysis = ''
    candle_analysis = ''

    # Check for bullish trends
    if current_price > last_candle[['EMA5', 'EMA20', 'EMA50', 'EMA100', 'EMA200']].iloc[-1].max():
        ema_analysis = 'buy'
    # Check for bearish trends
    elif current_price < last_candle[['EMA5', 'EMA20', 'EMA50', 'EMA100', 'EMA200']].iloc[-1].min():
        ema_analysis = 'sell'

    # Check for bullish candlestick pattern
    if (open<close and
        previous_open>previous_close and
        close>previous_open and
        open<=previous_close):
        candle_analysis = 'buy'

    # Check for bearish candlestick pattern
    elif (open>close and
        previous_open<previous_close and
        close<previous_open and
        open>=previous_close):
        candle_analysis = 'sell'

    # Check if both analyses are the same
    if ema_analysis == candle_analysis and ema_analysis != '':
        return ema_analysis

    # If no signal is found, return an empty string
    return ''
 Can you add in my code this EMA and MA strategy - If the shorter-term EMA (e.g. 10) crosses above the longer-term EMA (e.g. 20) and the current price is above the EMA and MA lines, it could confirm a buy signal.
- If the shorter-term EMA (e.g. 10) crosses below the longer-term EMA (e.g. 20) and the current price is below the EMA and MA lines, it could confirm a sell signal.
How to calculate risk exposure in spm
You are a digonistician in a hosptial. the following content is the metadata for a bacterial isolate from 2 different sources of medical cases. The metadata from each source includes information after <doc>
    <doc>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <doc/>

You need to extract and output information in the format shown below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding value from different sources. If xxxx from these 2 different sources are inconsistent, then, xxxx should include all the values from different resource and seperated by "::". If the metadata from all resource shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no". You must be very careful, No mistake is allowed!!! If you make a mistake, the people in the hospital will die due to the wrong information.

PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
accession number        species name    strain name     isolate or collection date in yyyy-mm-dd format geographic information of islateion     host name       mlsty type      serotype
GCA_009906265.1 Erysipelothrix rhusiopathiae    268691  2019-10-17      USA: Texas      Canis lupus familiaris  N/A     N/A
source 1:
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Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
[Toonworld4all] The Ancient Magus' Bride S01E16 480p BluRay Multi Audio ESub.mkv