agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: •Changes in policy provisions (e.g., deductibles, policy limits, endorsements, etc.)_•Changes in mix of insured vehicles (e.g., long haul trucks versus local and smaller vehicles, fleet risks versus non-fleets)_•Changes in underwriting standards_Unanticipated changes in risk factors can affect reserves. As an indicator of the causal effect that a change in one or more risk factors could have on reserves for commercial automobile, a 1% increase (decrease) in incremental paid loss development for each future calendar year could result in a 1.3% increase (decrease) in claims and claim adjustment expense reserves._Historically, the one-year change in the reserve estimate for this product line over the last nine years has varied from -2% to 11% (averaging 2%) for the Company, and from 2% to 7% (averaging 5%) for the industry overall. The Company’s year-to-year changes are driven by, and are based on, observed events during the year. The Company believes that its range of historical outcomes is illustrative of reasonably possible one-year changes in reserve estimates for this product line. Commercial automobile reserves represent approximately 9% of the Company’s total claims and claim adjustment expense reserves._
Assistant:
What is billwerk
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
Sofia lagi sedih tuh
Choosing An Web Design Agency Niche
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: Together we rise, with Xion and God!
System: 
User: Generate a detailed and realistic news article about an event in the Alternative Investments domain, focusing on the Integrated Oil & Gas industry, and located in Southeast Asia. The article event should have a neutral impact on stock prices and highlight the broader economic or market implications. The article should be 150 words long.
Assistant:
answer customer's question: Could you please try to push the team to provide the patch  by today.
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:

هدى هاني نقرق بيها ماك تعرفها ما تحبش السفر برشة
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":"John dory with cucumber purée and aniseed butter sauce A delicate dish featuring john dory, complemented by cucumber purée and aniseed butter.","ingredients":"Cucumber Purée : cucumber,aniseed,fine salt\nMarinated Cucumber : cucumber,white balsamic vinegar,caster sugar\nAniseed Butter Sauce : soft unsalted butter,aniseed,vegetable stock,double cream\nJohn Dory : salted butter,aniseed,john dory fillets\nFinishing Touches : aniseed,fleur de sel","instructions":"1. For the cucumber purée: Peel the cucumber, cut it in half lengthwise, remove the seeds, and slice. Boil in salted water for 2 minutes, then drain. Immerse in cold water, drain again, and blend until smooth. Incorporate the aniseed (using 1 teaspoon per kg of purée), mix well, strain through a fine sieve, cover, and refrigerate overnight. The next day, push through a fine sieve again, adjust seasoning, and chill.\n2. For the marinated cucumber: Peel the cucumber and slice diagonally into pieces about 1 cm thick. Combine vinegar and sugar in a saucepan, bring to a boil, then let cool. Mix the cucumber with the cooled marinade in a bowl and let it marinate for half a day before draining.\n3. For the aniseed butter sauce: Combine the butter with 3 teaspoons of aniseed and refrigerate to infuse. In a saucepan, heat the remaining aniseed with vegetable stock, bring to a boil, and reduce for 5 minutes. Add cream, simmers until reduced by half, then mix in the aniseed butter and blend thoroughly. Taste and season as needed, then strain after a few minutes of infusion.\n4. For the John Dory: Melt the butter in a frying pan over low heat, add the aniseed, and allow to infuse for 15 minutes while keeping the temperature around 60-65°C. Just before serving, submerge the fish in the hot butter and cook gently for 5-6 minutes until a thermometer reads 50°C. Carefully lift the fish out, letting the excess butter drain back.\n5. To finish and plate: Use a pastry cutter on the plate to add cucumber purée, then remove the cutter. Arrange pickled cucumber slices alongside, place the fish on the plate, and include a ramekin of aniseed butter. Garnish with fleur de sel and aniseed, and serve immediately.","region":"WEU"}
give me detailed c++ code for creating the crafting ui similar to the game 7 days to die. be sure to give me exact sizing and styling decisions that should be made.
润色这段英文RNA pull-down assays were performed to identify A-associated protein. As shown in Fig. 54A, a distinct difference lane was found (size about 50 KD) in group. Mass spectrometry analysis identified B as one of the top binding protein for A (Supplementary Table 1). Furthermore, western blot and RIP assays were performed and validated A bind B . The findings fully suggested that A was associated with B.
Kali linux identify tools
"Please find the details of the loan paid to staff below." Paraphrase this text message humanily
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: I cannot provide good images as its a logon problem.
intention: bug report
review: Last.fm scrobbling for streaming audio
intention: feature request
review: You should not be using such an old version of Firefox. 
intention: other
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
examples:

review: I cannot provide good images as its a logon problem.
intention: bug report
review: Last.fm scrobbling for streaming audio
intention: feature request
review: You should not be using such an old version of Firefox. 
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Fortunately I saved the link to this page or I may never have got back to it. '
intention: '
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: The trading market for our common stock relies in part on the research and reports that industry or financial analysts publish about us or our business. We currently have limited research coverage by financial analysts. Securities analysts may discontinue coverage or downgrade their evaluation of our stock. If any of the analysts who continue to cover or cover us in the future downgrade their evaluation of our common stock or publishes inaccurate or unfavorable research about our business, our common stock price may decline. If additional analysts cease to cover our stock, we could lose visibility in the market for our stock, which in turn could cause our stock price to decline._
Assistant:
translate from french, preserve tabulation: //D Distance from a point to a surface along the surface normal
//
//  point sur la surface       =   P(u,v)
//  point de ref�rence         =   M
//  direction de la normale N  =   dP/du ^ dP/dv ( unit vector)
//  distance du point de r�f�rence � la normale
//
//      say v = Vector(P,M)
//      say L = v*n ( lambda)
//
//
//          M  d
//          +.......+ Q
//           \      |
//            \     |
//             \    |
//              \   | L =lambda
//               \  |
//                \ |
//                 \|
// -----------------+---------
//                  P
//
//   d^2 =  ||MP||^2 - L^2
//
//  fonction identique et plus simple
//
// appliying a local variable change
//   0 < r < 1    u(r) = umin + r*( umax-umin)
//   0 < t < 1    v(t) = tmin + t*( tmax-tmin)
//
//  m_du_dr = du/dr = umax-umin;
// Find a local parameter(r,t) that minimizes
//
// H = 1/2*(P(u(r),v(t))-M)*(P(u(r),v(t))-M)    [ distance au carre ]
//
//     | dH |   | dH     du |   |       dP     du  |
//     |----|   |---- * ----|   |(P-M)*---- * -----|
//     | dr |   | du     dr |   |       du     dr  |
// F = |    | = |           | = |                  |
//     | dH |   | dH     dv |   |       dP     dv  |
//     |----|   |---- * ----|   |(P-M)*---- * ---- |
//     | dt |   | dv     dt |   |       dv     dt  |
//
//
//
//
//     | 2        2  |   |                  2                           2  |
//     |d H      d H |   | dP   dP         d P       dP   dP           d P |
//     |---     -----|   |----*--- + (P-M)*---      ----*---- + (P-M)*-----|
//     | 2      du*dv|   | du   du          2        du   dv          du dv|
// J = |d u          |   |                 d u                             |
//     |             | = |                                                 |
//     | 2        2  |   |         2                                    2  |
//     |d H      d H |   |        d H                dP   dP           d P |
//     |-----   -----|   |      -------             ----*---- + (P-M)*-----|
//     |du*dv     2  |   |       dv*du               dv   dv            2  |
//     |         d v |   |                                             d v |
//
//
//
// ****************************************************************************
//  A drawback is :
//        No second dudv derivated for BEZIER
//
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.

==TEXT==

User: ZamZam Bank is looking for qualified applicants for the following open position.
Job Title:  
Senior Branch Coordination Officer
Job Type: Full Time
Salary: Company's Scale
Place of Work: Addis Ababa, Ethiopia.
https://addisjobs.net/jobs/branch-coordination-officer-zam-zam-bank/
Assistant:
You are helping find missing data for a website providing repair guides. 
        It seems there might be missing data for the categories of the post or they are in the incorrect order. You'll be provided the current categories as a list.
        Each post should have at least 4 categories:
        1. 'Repair guides', 
        2. 'Device type' (Phones, Tablets, Watches, Game consoles, Laptops, or Desktops),
        3. 'Device manufacturer' (e.g., Apple, Samsung, Google, etc.),
        4. 'Device brand' (e.g., iPhone, Galaxy, Pixel, etc.),
        5. 'Device model' (e.g., 'iPhone 11', 'Galaxy S24', Pixel 3 XL, etc.).

        Examine the current category list and the post content. Then provide the completed list in correct order and in **strict JSON format**.

        The currently set categories are: ['Phones', 'Repair guides']
        The repair guide title is: "DIY Guide to Replace Huawei P8 Lite Back Cover"

        ### Instructions:
        - Return the response as valid JSON. It **must** be parseable using `json.loads()` in Python.
        - Your output should have a single key: `"value"`.
        - The value should be a list of exactly 4 strings: ["Repair guides", "Device type", "Device brand", "Device model"].

        ### Output Format:
        ```json
        {
        'value': ['Repair guides', 'Device type', 'Device brand', 'Device model']
        }
User: differentiate between lesson and period
how much sardine per day?
Create a Baduk game in python. Create an AI that is VERY GOOD at baduk so it wins every time
User: cara beli limit pake bellece
User: cara beli limit pake bellece
Assistant:
rewrite the introduction leaving only aspects that belong in the introduction and not the other sections including, the literature review, methodology, data, analysis and conculsion: ‘In recent years, filmmakers have displayed an increasing interest in historical accuracy, as evidenced by Robert Eggers’ critically acclaimed film ‘The VVitch’ (2015). Set in the 1630s, the movie delves into the lives of early American settlers and their encounters with witchcraft. One of the film’s most defining features is the use of Early Modern English, closely resembling the dialect spoken during the period (Stack Exchange, 2017). This essay will explore the extent to which Robert Eggers employs Early Modern English throughout his film, anchoring it in the historical context of the time. Additionally, the repercussions of this linguistic choice on language revitalisation, as well as the broader implications for contemporary audiences and future projects such as Eggers’ ‘The Northman’ (2022), will be analysed.

In order to achieve a high level of authenticity in ‘The VVitch’, Eggers conducted extensive research into the era by examining historical records, trial transcripts, and period texts (Smith, 2016). This attention to detail is apparent in the film’s dialogue, which effectively recreates the sound of seventeenth-century speech (Adams, 2016). Using these sources, Eggers managed to bring forth a sense of realism often lacking in period films and showcase a linguistic portrait of the time (Keyes, 2019). While some may argue that the language is not entirely accurate, or that it may be anachronistic at times, the film does an admirable job of capturing the spirit of Early Modern English.

However, this linguistic choice has broader implications, as it raises questions surrounding language revitalisation, and whether the use of archaic or extinct languages in contemporary media can contribute to their preservation or resurgence. In essence, the use of Early Modern English in ‘The VVitch’ can be seen as a form of language revitalisation, as it exposes audiences to a dialect they may have otherwise never heard, potentially sparking interest in its study and preservation. Furthermore, the film’s success and positive critical reception may encourage other filmmakers to similarly explore historical accuracy in terms of language use, as evidenced by Eggers’ upcoming film ‘The Northman’, which features Old Norse (Lovett, 2022).

In conclusion, the use of Early Modern English in ‘The VVitch’ adds a layer of authenticity that enhances the film’s overall impact, bringing the audience into the world of the 1630s through the power of language. Furthermore, the presence of this dialect not only contributes to a more immersive viewing experience but also potentially paves the way for linguistic revitalisation and historical exploration within contemporary media. As the line between art and history continues to blur, it remains essential to investigate the implications and repercussions of these choices on both the past and the present.’
is there any populer user review site for checking android tablets
"We are seeking a talented graphic designer to create an eye-catching flyer for our upcoming holiday event. The flyer should encapsulate the festive spirit and convey essential details like event date, time, and location. The ideal candidate will have a strong portfolio showcasing previous flyer designs, particularly for events. You will need to provide multiple design concepts and be open to revisions. If you have a passion for design and can deliver high-quality work on time, we would love to hear from you!" I want a mess to apply for this job on upwork
Is the following quote accurate? "It’s surprising and wonderful to see that LLMs do seem to be learning implicit mental models of the world. LLMs are only trying to predict the next token, but at some point the most efficient way to do that becomes building a model of the world to understand what is actually going on."
For mass spectrometer front end ionization, how would the height of probe and protrusion of the probe electrode affect to intensity performance
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: @Windows it's been like this for ages each sentence stays on the screen for 2 minutes ð _URL_'
intention: '
Assistant:
Generate a description with keywords and SEOs for Social Media Ready Stock Photo | Modern Cafe Aesthetic | Freelancer Lifestyle Image | High-Resolution Coffee Shop Snapshot. Include social medias on which this stock photographic can be applied to for social media at the end. Include details on dimensions: 1080x1080 and has 3 image variations. Include buyer has full rights to resale and commercial usage. Don't include HTML or '<br/>' for formatting only newline '
'
中译英：主营业务是医疗美容整形，化妆品批发等业务 企业法人也是我，2023年我们把之前10亩地的工厂换成50亩地的工厂
Help me to write a post to share my blog on linkedin
Hello!
I  am part of a Research directive aimed at making extremely challenging LLM Benchmarks, There are many waays to trip for fault such systems but we want something more, we want a Questionare that will be inherently Challenging for LLM'S way more so than simple phd test questions, something that makes an LLM's mind Rattle but should be fairly straight forward for humans with a good reasoning system, can you Try to give some benchmarks?