agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Create a long detailed text about 1967 tv series"The Carol Burnett Show" 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: [Confrontation outcome & Show's legacy] Summary: [Burnett fired Korman for his behavior, but he later apologized and agreed to change his attitude, which he adhered to starting the following Monday. The Carol Burnett Show remains a classic, and viewers are encouraged to watch it in syndication.]

        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.
I am a student of IELTS examination, I will give you my writing article with title, please complete the following tasks.
1.You should give me an overall score according to the IELTS criteria and explain the scores for each criteria.
Here is the title and my article
Title: 
Governments are encouraging industries and businesses to move from large cities to regional areas. Do the advantages outweigh the disadvantages?
My article:
It is true that governments should encourage industries and businesses to move from large cities to regional area. I believe that there are more benefits than drawbacks.
On the one hand, It can help to improve the quality of life for residents and reduce urban overcrowded. They have better health outcomes and a more sustainable lifestyle. For example, in some cities their industrial zones and residential areas is confusion result in people difficult traveling. From the businesses perspective, they can save costs because the rural area have large space. Rent and labour costs are often lower in regional areas than in large cities. It can boost the local economy development because they need a lot of labour and provide jobs for local people.
Although it has some benefits, it still has drawbacks. Firstly, businesses create waste and pollution also effect local residents living and rivers. Secondly, compared with the central city have more advanced technology. Rural areas have no mature technology and lack professional staff. Finally, rural have no excellent infrastructure and poor transportation service. It can increase transport time for goods. In addition, many companies their customers are in city centers result in away from their customers is not contact convenience.
In conclusion, it seems to me that the advantages of industries and businesses to move from large cities to regional areas do outweigh the disadvantages.
renewals like driving license in india
Create a text about Tonya Williams as role Dr. Olivia Barber Winters in 1973 tv series The Young and the Restless. Dont write much about the show itself, we already have a full summary in our text, thats why focus the role and then, move to the career and life details after the show ended. Mention the most interesting parts and not only career wise. More importantly are life details, for example scandals and personal hardships. The tone should be serious, dark and mysterious. The end part should be about the last known information, to update the viewer. If there is no information then think about a way to conclude nicely.  Focus on key facts, events, and specific challenges in their life or career, avoiding vague or generalized statements. If there are notable incidents, name them explicitly. The style should be modern, concise, and suitable for a documentary.

    Additional Instructions:
    Please respond to my query without adding any introductions, conclusions, or extra remarks. 
    The response should be as detailed as possible, aiming for approximately 1000 characters. 
    Avoid using emojis, brackets, parentheses, or similar symbols. 
    Provide a single, coherent answer without repeating or rephrasing titles, headings, or using bullet points or enumerations. 
    Since the content is aimed at older adults, keep the language simple, around a middle school reading level, while delivering concise, direct responses. 
    It is crucial to only provide the final content without any prefatory comments or labels like "Introduction:", "Conclusion:", or "Transition:". 
    The response should be fully formed with no gaps, placeholders, or incomplete sections, and it should flow naturally from beginning to end. 
    Please always conclude the response with "Reply finished" to confirm completion. Ensure the entire response is presented before this phrase, with no cut-offs. 
    Thank you.
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:

شد الريقلة وربي يستر
Hypothetical "Pet Shop Boys/Erasure" collab for charity - " The Invisible Love."  ( The single was hypothetically made in support of LGBTQ+ rights.)   Potential lyrics?
Write a forum convo where One Magnificent Morning is running on autopilot, showing ONLY Into The Wild
Newtoonsoft string to enum converter C#
Assistant: 
User: [Give me only the actual fundamental news. Please provide it concisely in list format for an English learner. I prefer exact dates of future events instead of "soon" or "upcoming." If there is any big news worth mentioning, tell me. Finally, tell me what $YFI means. Do not tell me about price technical analysis.]
9h: @ChartingGuy I would love to hear your opinion and few on $YFI ?. NOBODY talking about this cicle. Is it dead ?. Best regards
2h: @8BitSam_ @0xSonicLabs Printed crazy money with $YFI
1d: There is no known vulnerability outside of every part of how the token and ecosystem operate. Plz be patient as we call the cops about this.
5h: @8BitSam_ @0xSonicLabs Bought my first $YFI at 60$ , god bless @AndreCronjeTech
23h: @ded__kat $YFI did once shit blew my mind
1d: Bought more $EEFI yesterday -- price looks great! I’ve been DCA'ing for months, hoping the next few months turn bullish. This will be the most deflationary token! Could repeat $YFI, so I’m aiming for 5 digits ($10,000+). . . 🫰Fingers crossed! LFG! 🚀💰. . #EEFI #AMPL #SPOT #YFI https://t.co/KQ2MEcdo8e
7h: Remember when $YFI one of Cronjes projects went from $0 to $90,000+ ??. . The OGs remember.... . $FTM -&gt; $S https://t.co/EPfaLO1fRH
1d: There’s one chart on Solana that is replicating $YFI movements from defi summer 2020.. . Been saying for a while that SOL has a massive opportunity that the market is underlooking. Multiple sectors rallying is bullish.. . Bet more and lock in
1d: Let's review past blue chip token performances during crypto bull runs and compare to @RetardedAPR . . NEO (NEO): 12 Billion during 2017 cycle. Uniswap (UNI): 22 Billion during 2021 cycle. Olympus (OHM): 4 Billion during 2021 cycle. Yearn Finance (YFI): 3 Billion during 2021 cycle https://t.co/qrXZjfgkLs
2d: @lex_node yeah it's kinda crazy how much of DeFi is downstream of Andre's work and YFI broke ground on governance and token economics on so many levels.
2d: $BAL $CRV $REN $SNX $YFI $SUSHI $UNI #YIELDFARMING fanatics, harvest high returns with TitanX's innovative staking and ETH rewards.
10h: 💙. #montedio. #モンテディオ山形 https://t.co/Sw543GHHQ6
1w: $YFI making a move. . Seems like it's worth a gamble. . longed smol with intention to add if trend doesnt fall apart here https://t.co/IBuaZx85gJ
2h: $ordi tp hit ✅✅ holding some... $btc $eth $sol $xrp $link $ada $doge $wif $pepe $coti $ckb $rlc $gmx $stpt $ankr $ygg $xlm $apt $fet $tao $tlm $ssv $yfi $zec $zrx https://t.co/Mrr7VUqsNN
3d: @0xSisyphus Once everyone is done with the meme coins fad, they'll go back to buying blue chip coins again, such as Lido, YFI, UNI, SUSHI and other DeFi tokens
4d: YFI REMINDER. 10:28 AM https://t.co/eyDQIUgXnb
5d: QT.... shout out to a dope collector who deserves more credit . . @fan_yfi https://t.co/p0AZgznj1I
1w: Tbh I actually hated this because I used to know and work with a guy who bought and sold event tickets and it negates everything said here but I'm not about to agree with or support Gensler
Assistant:
Create a title, Create a detailed how-to blog heavily on topic-hub; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, with keywords, short and simple, without mentioning blvck.ai
Question Q:
/*
How was the data associated with each instance acquired? Was the data directly observable (e.g., raw text, movie ratings), reported by subjects (e.g., survey responses), or indirectly inferred/derived from other data (e.g., part-of-speech tags, model-based guesses for age or language)? If the data was reported by subjects or indirectly inferred/derived from other data, was the data validated/verified? If so, please describe how.

*/
Answer A:
/*
 The data in the given dataset was not directly observable, but rather indirectly inferred or derived from other sources. Specifically, the data represents information about towed vehicles, including their make, model, color, plate number, state, towed-to address, tow facility phone number, and inventory number. This information was likely obtained from tow reports or records generated by law enforcement agencies or towing companies.

The data was not reported by subjects directly, but rather was recorded and compiled by third parties. However, it is possible that some of the data, such as plate numbers and state information, were originally reported by vehicle owners or law enforcement officers.

There is no clear indication in the dataset that the data was validated or verified. It is possible that the data was checked for accuracy against other sources or that the tow companies or law enforcement agencies have procedures in place to ensure the accuracy of their records. However, without further information, it is impossible to say for certain whether or how the data was validated or verified.
*/
Assume that the answerer has all the necessary information to respond to question Q. Evaluate answer A based on the following criteria:
1. Completeness: The answer must definitively and comprehensively address all parts of question Q.
2. Relevance: The answer must directly provide the information requested in question Q without any extraneous details.
If the answer satisfies both criteria, label it as 'good'. If it fails to meet one or both criteria, label it as 'bad'. Provide your evaluation in the following format:
- Label: [good/bad]
- Reasoning: [Provide a brief explanation for your label]
rewrite the following: With at least 50 interested tenants per property to rent, you will find a tenant in no time.
I am using google's map autocomplete feature for my react native app where on clicik of each word it starts showing location what are the few ways to optimise and save cost
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 not currently party to any material litigation. However, from time to time, we may be party to various claims and litigation proceedings. We evaluate these claims and litigation proceedings to assess the likelihood of unfavorable outcomes and to estimate, if possible, the amount of potential losses. Based on these assessments and estimates, we may establish reserves, as appropriate. These assessments and estimates are based on the information available to management at the time and involve a significant amount of management judgment. For example, we have not established a reserve against any potential losses related to a false advertising lawsuit filed in federal court in May 2021 by alleged consumers of our eggs on behalf of themselves and a putative class, as no class has yet been certified and, at this point, we cannot reasonably estimate the possible loss or range of loss, if any. Actual outcomes or losses may differ materially from any assessments and estimates we may make.
Assistant:
are you gpt 3.5 ?
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:   Barry Diller, chairman of Expedia and digital media group IAC, told CNBC his companies will no longer provide earnings guidance. "Guidance is a bad business. We're out. We're not doing it anymore," the billionaire businessman told "Squawk Box" on Friday. Many companies suspended earnings guidance 
Assistant:
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...
User:  It is a messy picture in many European hotspots as airlines and airports struggle to cope with surge in demand travel demand after Covid lockdowns. Thousands of flights have been cancelled and recent
Assistant:
A reboot happens when a here answer fault occurs.
i need help with my congress theme crossword
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: United 300 is an American short film that parodies "United 93" (2006) and "300" (2007). It won the MTV Movie Spoof Award at the MTV Movie Awards 2007. The short was created by Andy Signore along with some of his friends. During his speech, he said, roughly, "The film was not making fun of a tragedy; it was a tribute to those who stood up against tyranny".
Can we infer the following?
United 300 was banned from some schools
Answer: Based on the information provided, it is not explicitly stated that United 300 was banned from some schools. The film is a parody of two popular movies, "United 93" and "300", and was created by Andy Signore along with his friends. The film won the MTV Movie Spoof Award at the MTV Movie Awards in 2007, which signifies its recognition and appreciation within the entertainment industry. However, this does not necessarily imply that the film faced any ban or restrictions, particularly in schools.

According to Signore's statement during his speech, the short film was intended as a tribute to those who stood up against tyranny, rather than making fun of a tragedy. This suggests that the creators of the parody were mindful of the potential sensitivity around the themes of the films being spoofed, especially "United 93", which is based on the real-life events of the September 11, 2001 attacks.

It is possible that some schools might have disapproved of the film due to its subject matter or the nature of parody, especially if they have concerns related to the way the film handles real-life tragedies or the historical events depicted in the movies it parodies. However, without further information specifically indicating that United 300 was banned from some schools, it would be speculative to make that inference.

In conclusion, while it is not possible to definitively state whether or not United 300 was banned from some schools based on the provided information, it is essential to recognize that the creators of the parody intended it as a tribute and not as a way of making fun of tragic events. To accurately determine if the film faced any restrictions or bans, further research would be necessary to corroborate such claims.
Given an address, I want you to return this address in the following
    format: Country|City|Prefecture-Neighborhood|PlaceOf|Interest

    I want you to take into account the following guidelines for the answer:
        1. Translate the possible kanji before.
        2. Do not include numbers, only words.
        3. For each part of the format, I want them to be whole words, i.e. not
        a set of words (for example: Tokyo Prefecture, it should be directly
        Tokyo).
        4. The answer should be directly the result of the address in the
        requested format.
        5. Use the language of the given address and use it for creating the
        formatted address.
        6. Always it is necessary to return the address in the requested format
        that is composed of four parts:
        Country, City, Prefecture-Neighborhood and PlaceOfInterest.
        7. Each of the parts, if it is composed of more than one word, should be
        separated by a hyphen.
        8. It is only allow to use the characters: a-z, A-Z, hyphen (-) and pipe (|), so
        if for example the name of the place contains a vowel or consonant with an
        accent (á, é, í, ó, ú, ü, ñ, ō, ū, ā, ē, ī, ū, ǖ, ǘ, ǚ, ǜ, etc.) you should
        remove the accent (vowel without the accent).

    Here are some examples for your reference:
    - “浅草寺, 2 Chome-3-1 Asakusa, Taito City, Tokyo 111-0032, Japan” ->
    Japan|Tokyo|Taito-Asakusa|Senso-ji
    - “東京スカイツリー, 1 Chome-1-2 Oshiage, Sumida City, Tokyo 131-0045, Japan” ->
    Japan|Tokyo|Sumida|Tokyo-SkyTree
    - “飛驒の里, 1 Chome-590 Kamiokamotomachi, Takayama, Gifu 506-0055, Japan” ->
    Japan|Gifu|Takayama|Hida-no-Sato.
    - “東山慈照寺, 2 Ginkakujicho, Sakyo Ward, Kyoto, 606-8402, Japan” ->
    Japan|Kyoto|Sakyo|Ginkaku-ji.

    I want you to do it for the following address:
     Sasuke Inari Shrine, 鎌倉市佐助2－22－10, Daibutsu Hiking Path, Hase 5-chome, 御所ノ内, Kamakura, Kanagawa Prefecture, 248-0016, Japan