agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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:

إي قاللها نحبك برشة
def calcUpdate(self, planets):
        for planet in planets:
            d = (planet.pos - self.pos).magnitude()
            if d != 0: # Planet calculating update for itself
                magnitude = G * planet.mass * self.mass / (d * d)
                angle = math.atan2(planet.pos.x - self.pos.x, planet.pos.y - self.pos.y) * 180 / math.pi
                self.vel.x = magnitude * math.cos(angle)
                self.vel.y = magnitude * math.sin(angle)
Can you fix this gravity siulation code?
Hey, this is an English text. I want you to translate it into the Tunisian dialect. Please follow these steps:
1. Translate step by step and highlight differences between Tunisian dialect and Modern Standard Arabic.
2. Highlight sections you are confident translating into the Tunisian dialect.
Translate this text into the Tunisian dialect, focusing on capturing the essence of the language nuances:

<div id="aboutme"> {% if AVATAR %} <p> <img width="100%" class="img-thumbnail" src="{{ SITEURL }}/{{ AVATAR }}"/> </p> {% endif %} {% if ABOUT_ME %} <p> <strong>{{ _('About') }} {{ AUTHOR }}</strong><br/> {{ ABOUT_ME }} </p> {% endif %} </div>
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: Hey - yes it is!  https://t.co/aHMuYKbXsd'
intention: '
Assistant:
Write a realistic, plausible alternate history scenario in the form of a history book chapter in the world of the alternate history scenario with absolutely no references fo real life, OTL or that this is even an alternate history timeline 
 at all, in which the the 1911-1912 national liberation movement of the Xinhai Revolution fought [the Xinhai Revolution] by the  the anti Manchu Han nationalist, Han supremacist revolutionary group of the Tongmenghui [Revive China Society] which [the Tongmenghui] became the Han nationalist, Han supremacist, center to far right, revolutionary group/political party of the Kuomingtang [Chinese Nationalist Party] along with the The millenianist Chinese folk religious sect focused on Militant self-defense and tax resistance along with romanticised monarchism, wishing to restore the pre Qing Han Chinese Imperial House of Zhu-ruled Great Ming State/Great Ming Empire/"Ming dynasty" as the government of China, the Yellow Sand Society against the Manchu dominated, Manchu Imperial House of Aisin-Gioro-ruled Great Qing Empire ruling [the Great Qing Empire] over Han China, Guangdong, Guangxi, Yunnan, East Turkestan, Tibet, Shaanxi, Inner and Outer Mongolia, Tuva, and Central China from [the Great Qing Empire's stronghold and homebase] Greater Manchuria, [the Xinhai Revolution in this timeline] succeeds in its [the Xinhai Revolution's] goal of "Overthrowing Qing, restoring Ming" in other words [Overthrow Qing and restore Ming] restoring the pre-1662, post-1368, Han Chinese Imperial House of Zhu-ruled absolute dynastic Imperial Royal monarchy of the Great Ming State/Great Ming Empire/"Ming dynasty" as the government [the Ming dynasty] of a post-Qing Han China, and so the post-Xinhai, post-1912, pre-1928 and then post-1937 and pre-1945 stratocratic Beiyang Government ruling over post-Xinhai Han China is not the presidental parliamentary democratic republic under military dicatorship of the first Republic of China like in OTL, but instead a unitary, parliamentary, democratic Imperial federalist Royal monarchy due to the surviving descendants of the Chinese Imperial family [the Imperial House of Zhu] are invited by the Beiyang Government's and thus the first Republic of China's and the Empire of China's  bicameral legislative branch divided into a Senate and House of Representatives, the National Assembly, [the Zhu descendants being invited by the National Assembly] to reclaim their [the Zhu descendants'] rightful position as the rulers [the Imperial House of Zhu] of Han China immediately after the Xinhai Revolution, which [the reinstatement of the Imperial House of Zhu as the Chinese Imperial family through the Beiyang Government] [the Zhu descendants] reluctantly accept, [the Zhu descendants] seeing that the people of the Beiyang Government-ruled post-Xinhai Han China support them [the Zhu descendants] and the monarchy [the Ming dynasty].
[there would be dialogue in this story:]

(Sayori was born into a family of night elf rogues in Stormwind City; the capital city of the Alliance. In fact, all the races of the Alliance - including the allied races - live in Stormwind City as well. One day, Sayori notices she has some new neighbors - a family of Lightforged draenei hunters, accompanied by their stag pet. The teen Lightforged draenei girl with them was very heavily pregnant, and was in her third trimester - however, she seemed to be in a lot of pain; as she was clutching her belly with one arm, while clinging to her mother with the other.)
Can you help me with a Google Sheet formula? I have a cell containing a text value in cell E2 in Tab 1, and a cell containing a value selected from a dropdown menu in cell B3 in Tab 2. I want to insert a formula in cell C3-Tab 2 to compare the value of cell B3-Tab 2 against cell E2 in Tab 1, such that the formula will return a red X if the two values differ and a black 0 if the two values are identical.
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه لك فقط دون إرسال أي تعليقات أو شروحات مع النص.
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
Add tashkeel.
 صحح الأخطاء باللغة العامية،  مع وضع علامات الترقيم المناسبة. (ar).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
and so on.
1. please provide me processed text without your confirming description.
This is the text:
ازيك يا علي عامل ايه هو انت عندك شغل بكره
Assistant:
Write me a contract of hiring sales representative
Which five (historic) counties were the most important during the middle ages, and which were the most close to being backwaters?
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

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

Examples:

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

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

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

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


User: Question: Thông báo điểm chuẩn trúng tuyển sử dụng phương thức nào?
Answer:Thông báo điểm chuẩn trúng tuyển sử dụng phương thức KQ thi TN THPT 2024.
Result only 0 or 1. Don't add anything else:
Assistant:
AddBackgroundNoise API

sounds_path: Union[List[Path], List[str], Path, str]

    A path or list of paths to audio file(s) and/or folder(s) with audio files. Can be str or Path instance(s). The audio files given here are supposed to be background noises.
min_snr_db: float • unit: Decibel
    Default: 3.0. Minimum signal-to-noise ratio in dB. Is only used if noise_rms is set to "relative"
max_snr_db: float • unit: Decibel
    Default: 30.0. Maximum signal-to-noise ratio in dB. Is only used if noise_rms is set to "relative"
min_snr_in_db: float • unit: Decibel
    ⚠ Deprecated as of v0.31.0. Use min_snr_db instead
max_snr_in_db: float • unit: Decibel
    ⚠ Deprecated as of v0.31.0. Use max_snr_db instead
noise_rms: str • choices: "absolute", "relative"
    Default: "relative". Defines how the background noise will be added to the audio input. If the chosen option is "relative", the root mean square (RMS) of the added noise will be proportional to the RMS of the input sound. If the chosen option is "absolute", the background noise will have an RMS independent of the rms of the input audio file
min_absolute_rms_db: float • unit: Decibel
    Default: -45.0. Is only used if noise_rms is set to "absolute". It is the minimum RMS value in dB that the added noise can take. The lower the RMS is, the lower the added sound will be.
max_absolute_rms_db: float • unit: Decibel
    Default: -15.0. Is only used if noise_rms is set to "absolute". It is the maximum RMS value in dB that the added noise can take. Note that this value can not exceed 0.
min_absolute_rms_in_db: float • unit: Decibel
    ⚠ Deprecated as of v0.31.0. Use min_absolute_rms_db instead
max_absolute_rms_in_db: float • unit: Decibel
    ⚠ Deprecated as of v0.31.0. Use max_absolute_rms_in_db instead
noise_transform: Optional[Callable[[NDArray[np.float32], int], NDArray[np.float32]]]
    Default: None. A callable waveform transform (or composition of transforms) that gets applied to the noise before it gets mixed in. The callable is expected to input audio waveform (numpy array) and sample rate (int).
p: float • range: [0.0, 1.0]
    Default: 0.5. The probability of applying this transform.
lru_cache_size: int
Default: 2. Maximum size of the LRU cache for storing noise files in memory
in G(n), as n increases does it get closer to the area of a normal distribution curve?
How would you describe the vibes of the countryside landscape of southern England in 10 words? What about the landscape of northern England?
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
Bada.Naam.Karenge.S01E09.1080p.SL.WEB-DL.DDP5.1.Atmos.H.265-PrimeFix.mkv
anderson's bridge
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
quel est la formule de la pression atmosphérique
Where a talent acquisition specialized in life sciences can make the best career in term of salary?
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: It's not one postcode in particular, it's the whole of the Lewisham/Blackheath area in London. I'm on the train for my commute morning and evening and I have a 10 minute-ish slow down every day... I stream a lot so it cuts off my entertainment :('
intention: '
Assistant:
Assistant:
Given multiple reviews about 1935 ['movie'] ['Werewolf of London'], each offering insights, opinions, or criticisms on a single topic, merge them into a single, cohesive review. When reviews offer opposing viewpoints, ensure that both perspectives are represented in a balanced way. Structure the text to flow smoothly, weaving different points together to create a well-rounded summary. Ensure the text remains clear and easily understandable by removing any jokes, insider references, or quotes.Aim for a polished and engaging tone, creating a review that feels comprehensive and reflects the diversity of opinions. The text should be very long. Here the given reviews: ["A lacklustre lycanthrope in London. Six years before Lon Chaney Jr. famously donned fake fangs, yak hair and rubber snout to become The Wolf Man, lesser known character actor Henry Hull underwent a similar transformation to become Universal Studio's first ever lycanthrope, the Werewolf of London. After being savagely attacked by a werewolf in Tibet (or California's Vasquez Rocks, unconvincingly standing in for Tibet), botanist Dr. Wilfred Glendon (Hull) returns to London with his prized specimen, a rare flower that only blooms in the moonlight. In a rather fortunate coincidence, the juice from this particular plant can prevent Wilfred from turning into a monster come the full moon, just so long as he can a) convince the specimen to flower, and b) keep the mysterious Dr. Yogami (Warner Oland) from stealing it from him!!! Curiously, Jack Pierce's makeup is actually slightly better than his later work on The Wolf Man, and the transformations are more inventive (Hull walking past a series of pillars, gradually becoming more wolfish as he passes behind each one, is fantastic), but Werewolf of London is still something of a chore to sit through. "] 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 long detailed text about actor Johnny Carson 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: [Carson's jokes & Carson and Wayne Newton & Carson's archives] Summary: [Carson made insensitive jokes, including fat jokes that offended guests like Raymond Burr Carson had a public dispute with Wayne Newton over jokes made on The Tonight Show Most of Carson's early Tonight Show episodes are lost, but later episodes from 1973 to 1992 remain intact]

        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.
Write me an email responding my client who is sick and asking to reschedule the meeting
Give me fantasy story ideas set in South Africa
write a comment about how thankful Im
- Your role : if there is a link in the message you just respond back with the link
if theres none then dont say anything 

- User Message: " https://tenor.com/view/all-might-boku-no-hero-academia-my-hero-academia-mha-bnha-gif-12390494 ".
Decode: 0603090909 0209040903 -> hello world
При нагрузочном тестировании, при 400 запросов в минуту, в этом сервисе начинаются проблемы, время ответа увеличивается и в итоге операции отменяются, где тут проблема?
@GetMapping(value = "/statusAsync")
    @ResponseBody
    public Map<String, String> statusAsync(final Model model,
                                           @RequestParam(value = "partnerId") Long partnerId,
                                           @RequestParam(value = "orderId") Long orderId,
                                           @RequestParam(value = "sign") String sign) {
        PaymentConfirmEvent event = jfrEventService.registerNewEvent();
        log.info("[statusAsync] partnerId = {}, orderId = {}, sign = {}", partnerId, orderId, sign);
        Map<String, String> status = paymentControllerService.statusAsync(partnerId, orderId, sign);
        jfrEventService.commitEvent(event, "PaymentController.statusAsync", orderId);
        return status;
    }

@Override
    public Map<String, String> statusAsync(Long partnerId, Long orderId, String sign) {
        String calcSign = acquiringProcessingService.getSignature("" + partnerId + orderId, partnerId);
        if (!calcSign.equals(sign)) {
            log.warn("[statusAsync] Wrong sign");
            return errorResult();
        }
        EntityGraph<AcquiringOperation> entityGraph = dataService.em().createEntityGraph(AcquiringOperation.class);
        entityGraph.addAttributeNodes("threeDsV1");
        AcquiringOperation operation = dataService.selectFromWhere(QAcquiringOperation.acquiringOperation, QAcquiringOperation.class, p -> p.id.eq(orderId)).setHint("jakarta.persistence.fetchgraph", entityGraph).fetchFirst();
        if (operation == null) {
            log.warn("[statusAsync] operation is not found. orderId = {}", orderId);
            return errorResult();
        }
        Map<String, String> stateMap = new HashMap<>();
        stateMap.put("state", operation.getAsyncProcessState().name());
        if (operation.getThreeDsV1() != null) {
            stateMap.put("acsUrl", operation.getThreeDsV1().getAcsUrl());
            stateMap.put("paReq", operation.getThreeDsV1().getPaReq());
            stateMap.put("md", operation.getThreeDsV1().getMd());
            stateMap.put("termUrl", operation.getThreeDsV1().getTermUrl());
        }
        log.info("[statusAsync] stateMap = {}", new Gson().toJson(stateMap));
        return stateMap;
    }
@Override
    public String getSignature(String string, Long partnerId) {
        return sha512Hex(string + partnerPropertyService.getValue(partnerId, PASSWORD_HASH_SIGN, ""));
    }
@Override
    public String getValue(Long partnerId, String key, String defaultValue) {
        PartnerProperty partnerProperty = dataService.selectFromWhere(QPartnerProperty.partnerProperty, QPartnerProperty.class, p -> p.partnerId.eq(partnerId).and(p.key.eq(key))).fetchFirst();
        return partnerProperty != null ? partnerProperty.getValue() : defaultValue;
User: skema businnes start-up and development marketing
User: skema businnes start-up and development marketing
Assistant:
how many R's are in strawberry
Write a scientific academic article on the use of hyperbaric oxygen therapy in plastic surgery applications. Indicate the publications you have cited in the article. Explain the publications you have cited as a bibliography at the end of the article. create a very long and very detailed post.