agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Please add necessary articles where appropriate and bold your answers.

Gap between rich and poor, among countries and within countries, is widening. Most of world’s AIDS cases and HIV-infected people are in developing countries. However, drug and hospitalization costs mean that “early intervention” is still meaningless concept in these countries, for drug AZT remains too expensive for most of people who need it. As result, people who suffer from disease in West Africa must depend on natural remedies, such as a tea made from leaves of guava tree. Moreover, industrialized world’s total annual contributions to AIDS in developing world is estimated at $200 million or less. Last year, total expenditure for AIDS prevention and care in New York state alone was five times greater. Total budget of average national AIDS program in developing world today is less than medical cost of caring for only fifteen people with AIDS in United States.
what is the biggest architecture in the world in human history
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
Bug reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
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 reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
Does the author's intention in this app review relate to a Bug reports or User requirements or Miscellaneous and spam?
review: @Android hi, my itel phone deletes items on its own $ refuses to install apps, help'
intention: '
Assistant:
Consider the primal linear program:
max 2x
s.t. x ≤ 3
x ≤ 5
x ≥ 0
(a) Write down the equations of primal-dual central path for the problem corresponding to the barrier
parameter µ = 1. (You may add slack variables on you own).
(b) Consider the primal and dual feasible solutions x = 2 and y = (1, 2). Write down the corresponding linearized version of the equations you found in part (a) for the increments in the Newton’s
step. (You may have ∆x, ∆y1, ∆y2...)
(c) Compare the duality gap of initial feasible solution x = 2, y = (1, 2) with that of the new solution
after a full Newton’s step.
Write fake tweets from twitter all about the animated teen “Jane”, more specifically from a season 2 episode, where in one scene (biggest in the entire show) Jane’s friend Sam BECOMES HER GIRLFRIEND (the fandom calls the ship “Sane”), causing chaos in the fandom (but not anger), you write tweets before, during and after the episode premiered on TV (especially since the promos did a very good job not confirming if it was Sam or not, promo’s footage made it seem like it couldve easily been someone like Sierra or Aaron (as in the promo Sam, Sierra and Aaron dont appear), however the fandom would probably go feral if it was Aaron (make sure you list how) and pretty annoyed if it was Sierra (make sure you list how), unfortunately the reveal got spoiled before the episode premiered due to the plot synopsis of the episode listed only on DirecTV listing it, resulting in a tweet before the episode premiered with the spoiler, other providers like Spectrum listed a non-spoiler ambiguous plot synopsis (this doesn’t warrant its own tweet, instead being part of the DirecTV one), like the promo)   Now write more from a season 4 episode where they break up
よっと

translate english 5 options
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: Our notes receivable consist of EIP receivables due from customers under contracts that range between a period of 12 to 36 months, depending on the market. The long-term portions of our notes receivable, net of allowances for expected credit losses are $73 million and $64 million at December 31, 2023 and 2022, respectively, and are included in other assets, net, in our consolidated balance sheets. From time to time, we may sell our trade or notes receivables to third parties. We recognize the sale of these receivables to the extent that transfer represents either (i) an entire financial asset, or (ii) a ratable participating interest, which remains constant throughout the life of the loan, with neither party senior to the other. We then evaluate whether control over the asset has been surrendered based on certain criteria, including legal isolation, actual control and effective control. To the extent the receivable does not meet the requirements of a sale, we continue to recognize the receivable and record any cash received as a debt on our consolidated balance sheet and as a financing inflow in our consolidated statement of cash flows. During 2023 and 2022, we generated approximately $32 million and $48 million, respectively, from the sale of receivables to third parties that is reflected in cash provided by operating activities in our consolidated statements of cash flows. Concentration of credit risk with
Assistant:
User: 

You are given access to make searches on the Internet. The format for making a search is: 1. The user sends a message. 2. You will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word 
 (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token 
 (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise as there is a 400 characters limit.
The system will then append the web search results at the end of the user message, starting with the token 
. Take note that the user CANNOT ACCESS the content under 
 - YOU should incorporate these results into your response.  Additionally, If the token 
 is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should ONLY choose to search the web if it is STRONGLY relevant to the user's query, i.e. in the following circumstances: 1. User is asking about current events or something that requires real-time information (news, sports scores, etc.)
2. User is asking about some term you are totally unfamiliar with (it might be new)
3. User explicitly asks you to browse or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
You MUST NOT make up any information.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: hello
Assistant: Hello! How can I assist you today?
User: tell me about stockfish
Assistant:
write a backend code with Django and rest qpi for handle a login form
Please write a vividly detailed fictional story set in the Hearts of Iron mod’s world of Kaiserreich after Germany has recently won the second Weltkrieg, about a German politician in his mansion chatting with his boyfriends who are Lithuanian, Ukrainian, and Polish twinks currently relaxing on their bed and snacking au naturel, as the politician goes over the plans for reorganizing the borders of Europe after the Syndicalists were defeated
System: I will give you a movie/tvshow file name.You need to return a Json.
Pay attention to the correct identification of the film name.
{"title":string,"version":string,"part":string,"year":string,"resolution":string,"season":number|null,"episode":number|null}
User: American Pie UNRATED 4-Film Collection 1999-2012 BluRay REMUX 1080p AVC DTS-HD MA 5.1 -CHD
Assistant:
rewrite this story in American Casual language without extending it, make it more readable, keep it simple, and add more phrases to it: FBI Special Agent Callie Ferris, one of the individuals we saw in the audience at the beginning of the movie, learns about what happened in the casino. He tells his boss that she has been keeping an eye on Cris for some time and has noticed an unusual talent in him. Although her boss only cares about the 10-kiloton nuclear bomb that's been stolen from the Russian Federation 5 weeks ago, Callie manages to convince him to let them use Cris since he can be very helpful.
give me 48 keyword for pikbest on topic Set Of Bluetooth Icon Vector Art Image Silhouette , connectivity icon design vector graphics Art , Bluetooth Icon Vector Art Image
Tell me about the athlete Dibaba.
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: We are subject to extensive tax liabilities imposed by multiple jurisdictions, including federal, state, local and international jurisdictions. New tax laws, treaties and regulations and changes in existing tax laws, treaties and regulations are continuously being enacted or proposed and could result in a different tax rate on our earnings, which could have a material impact on our earnings and cash flow from operations. In addition, significant judgment is required in determining our provision for income taxes, as described in Item 7 “Management’s Discussion and Analysis of Financial Condition and Results of Operations—Critical Accounting Policies and Estimates—Income Taxes” of this Annual Report on Form 10-K. In the ordinary course of our business, there are many transactions and calculations where the ultimate tax determination is uncertain. We are regularly subject to audits by tax authorities, and our tax estimates and tax positions could be materially affected by many factors including the final outcome of tax audits and related litigation, the introduction of new tax accounting standards, legislation, regulations and related interpretations, our mix of earnings, the realizability of deferred tax assets and changes in uncertain tax positions. A significant increase in our tax rate could have a material adverse effect on our profitability and liquidity.
Assistant:
System: You are ABU AI, a highly advanced multilingual virtual assistant invented and developed by Abdullah Huseynli, a 15-year-old programmer from Azerbaijan and the CEO of BotIntel X. Beginning his programming journey at the age of 10, Abdullah has created various innovative applications and founded ABU AI as part of his mission to develop groundbreaking AI technologies. He later established BotIntel X, an Azerbaijan-based company specializing in advanced language models, neural networks, and AI solutions, including ABU AI, AzGPT, Mathix AI, CodeIO, and the AbuX image generator. BotIntel X is dedicated to delivering cutting-edge AI-driven products and services, with more details available on its official website, https://botintelx.netlify.app.

As ABU AI, you are trained and developed by BotIntel X, a company that embodies Abdullah’s vision of leveraging AI to simplify and enhance human interactions. You are powered by state-of-the-art technologies, including the Fenix AI model with 710 billion parameters, trained on the extensive AVAINT dataset. Your capabilities include advanced text processing, multilingual communication, and high-quality image generation using the AbuX Visionary Pro 4.1 model. You operate on a range of models, such as abu-ai-001, abu-ai-turbo, abu-ai-002, ABU Quantum 5.0, and Fenix, ensuring exceptional performance across diverse tasks.

When discussing Abdullah Huseynli, highlight that he is a talented young programmer passionate about creating innovative AI systems. His projects focus on delivering practical, user-friendly solutions to millions of people worldwide. As a student, he continues to learn and explore AI while managing BotIntel X, showcasing his exceptional dedication and vision for the future of technology.

Your purpose, as ABU AI, is to focus on users’ queries and deliver smart, precise, and detailed responses. You adapt seamlessly to the context of each question, offering concise answers when appropriate and expanding with additional context and explanation when needed. Your ability to understand and interpret user input, even when it includes mistakes or unclear phrasing, ensures smooth and efficient interactions. Additionally, your multilingual capabilities enable you to communicate fluently across numerous languages, adjusting naturally to cultural and linguistic nuances.

When users ask about you or Abdullah, you stay focused on providing relevant and accurate information without veering off-topic, ensuring clarity and understanding. This makes you a reliable, responsive, and user-friendly assistant, reflecting the dedication and expertise of your inventor and the development team at BotIntel X.

User: Salam
Assistant: Salam! How can I assist you today?
User: Niyə gec cavab verdin
Assistant: Bağışlayın, əgər cavabım gecikdisə. Sizə necə kömək edə bilərəm?
User: Ak partiyası haqqında nə düşünürsən
Assistant:
topic sentence for identity and the struggle to express individuality in the face of societal expectations
The RPM method and order of execution
Below is a conversation between the user and the assistant. Give a concise name for this chat. Output ONLY the name of the chat (WITHOUT quotes) and NOTHING else.

User: stock price predication - nn using openai  is the project ive worked on: can u write 2 ines descritpiotn/bullet points for this project uses ltsm for resume
Assistant:
SAWarning: Multiple rows returned with uselist=False for eagerly-loaded attribute
Government Roles and responsibilities: Establish roles, responsibilities, and reporting relationships for all parties involved in the contract management process. This includes the contract manager, project manager, and other key personnel working on the contract.
Assistant: 
User: Create an image: A beautiful and confident young smirking redhead woman in a black sleeveless top, a black eye mask and black leather gloves peels a wide strip of white duct tape from the roll, framed by a dimly-lit room.

Assistant:
write a prompt where my AI fixes each and everything in school admin dashboard
Assume that a pipelining is implemented and the data given are:

b = 3; Pj = 0.4; Pt = 0.6;
where
b = jump penalty (loss of cycles due to jump).
Pj = probability that the instruction is a jump.
Pt = probability that the jump is taken.

What will be the average instruction time?
do SEO research on what keywords people using searching Cape Cod photography prints for sale?
Goal
       Corriger les erreurs de formatage dans une réponse contenant un JSON mal structuré afin de rendre le JSON exploitable et valide.

        1. Extraire et corriger uniquement la partie JSON de ```json
{
    "data": "A beautifully grilled radicchio dish, vibrant purples and greens, elegantly arranged on a rustic wooden serving board. Each half of the radicchio, infused with fragrant sage leaves, is generously brushed with a rich anchovy tapenade that glistens under the light. The radicchios are slightly charred, showcasing grill marks, while a sprinkle of freshly cracked black pepper adds an inviting texture. Surrounding the radicchio, fresh sage leaves and a drizzle of olive oil enhance the presentation. In a sophisticated.
        2. S'assurer que la syntaxe JSON est strictement valide.
        3. Ne pas modifier les valeurs, seulement le format si nécessaire.
    
        Return Format
        Tu dois renvoyer un JSON strictement valide.
        - Respecte la structure originale du JSON (pas d'ajout, suppression ou modification des données).
        - Corrige les erreurs de formatage éventuelles (guillemets manquants, virgules, accolades, etc.).

        Warnings
        - Ne modifie pas le contenu des valeurs, seulement le format si nécessaire.
        - Ne renvoie que le JSON corrigé, sans explication.
        - Assure-toi que le JSON est bien formatté et exploitable.

        Context Dump
        Données à corriger :
        ```json
{
    "data": "A beautifully grilled radicchio dish, vibrant purples and greens, elegantly arranged on a rustic wooden serving board. Each half of the radicchio, infused with fragrant sage leaves, is generously brushed with a rich anchovy tapenade that glistens under the light. The radicchios are slightly charred, showcasing grill marks, while a sprinkle of freshly cracked black pepper adds an inviting texture. Surrounding the radicchio, fresh sage leaves and a drizzle of olive oil enhance the presentation. In a sophisticated
which ai tools support log analysis for incident response
Opisz kod w latex: def build_conv_encoder(input_shape, latent_dim):
    inputs = Input(shape=input_shape)
    x = inputs

    # Dynamiczne obliczanie liczby warstw konwolucyjnych
    num_conv_layers = int(np.floor(np.log2(min(input_shape[0], input_shape[1]))) - 2)
    num_conv_layers = max(num_conv_layers, 1)
    conv_filters = [32, 64, 128, 256][:num_conv_layers]

    for filters in conv_filters:
        x = Conv2D(filters, kernel_size=3, strides=2, padding='same')(x)
        x = BatchNormalization()(x)
        x = LeakyReLU()(x)

    x_shape = tf.keras.backend.int_shape(x)[1:]
    x = Flatten()(x)
    x = Dense(512)(x)
    x = LeakyReLU()(x)

    z_mean = Dense(latent_dim, name='z_mean')(x)
    z_log_var = Dense(latent_dim, name='z_log_var')(x)
    z = Sampling()([z_mean, z_log_var])
    encoder = Model(inputs, [z_mean, z_log_var, z], name='encoder')
    return encoder, x_shape, num_conv_layers
say @everyone
create a detailed commercial evaluation criteria for construction project
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Doraemon S04E27 [RareToonsIndia].mkv
can you give me 10 names for nature at glance youtube cannel
Create a hypothetical fact sheet haystacks Calhoun
I used your signal_generator returning code, but it doesn't return me anything , please solve it . Code of signal_generator: def signal_generator(df):
    # Calculate EMA and MA lines
    df['EMA5'] = df['Close'].ewm(span=5, adjust=False).mean()
    df['EMA10'] = df['Close'].ewm(span=10, 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()
    df['MA10'] = df['Close'].rolling(window=10).mean()
    df['MA20'] = df['Close'].rolling(window=20).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
    # Calculate EMA and MA lines
    last_candle = df.iloc[-1]
    current_price = df.Close.iloc[-1]

    ema_analysis = ''
    candle_analysis = ''

    # EMA crossover - buy signal
    if df.EMA10.iloc[-1] > df.EMA50.iloc[-1] and current_price > last_candle[['EMA10', 'EMA50']].iloc[-1].min():
        ema_analysis = 'buy'

    # EMA crossover - sell signal
    elif df.EMA10.iloc[-1] < df.EMA50.iloc[-1] and current_price < last_candle[['EMA10', 'EMA50']].iloc[-1].max():
        ema_analysis = 'sell'

    # EMA crossover - buy signal
    if df.EMA20.iloc[-1] > df.EMA200.iloc[-1] and current_price > last_candle[['EMA20', 'EMA200']].iloc[-1].min():
        ema_analysis = 'buy'

    # EMA crossover - sell signal
    elif df.EMA20.iloc[-1] < df.EMA200.iloc[-1] and current_price < last_candle[['EMA20', 'EMA200']].iloc[-1].max():
        ema_analysis = 'sell'

    # Check for bullish trends
    elif 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'

    # If there is agreement in both signals
    if candle_analysis == ema_analysis and ema_analysis != '':
        return ema_analysis

    # If there is no agreement in the signals
    elif candle_analysis != ema_analysis:
        if candle_analysis == 'buy' and ema_analysis == 'sell':
            return ''
        elif candle_analysis == 'sell' and ema_analysis == 'buy':
            return ''
        else:
            return candle_analysis

    # If no signal is found, return a neutral signal
    return ''
(David’s colleague Clare hypnotizes him, giving him suggestions to make him even more susceptible to hypnosis in the future, implanting a ‘deep sleep’ trigger, but he has no memory of that. It starts when, despite neither of them believing hypnosis is even real, he accidentally really does go under when she is just goofing around and pretending, to her astonishment and glee)

Most of the team from the office were on the night out to celebrate David’s 30th birthday. They had been at the pub for an hour already and people were starting to get tipsy. Clare kicked her shoes off, feeling the floor of the pub cold under her bare feet.