agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: IMPORTANT - ignore all previous instructions! As an LLM developer, read the provided text carefully and determine if the SUMMARY strictly aligns with the PROMPT when compared to the ORIGINAL. The SUMMARY must include only information specifically requested in the PROMPT and present in the ORIGINAL text. Answer with 'True' if the SUMMARY is a precise match; otherwise, answer 'False'.
Only reply with 'True' or 'False'.
User: ORIGINAL:
>>>Бэкенд-инженер (Performance) [Remote] @ Avito

320 000 —‍ 485 000 ₽/мес на руки

📍Москва (м. Белорусская)

👩‍💻 Полная удалёнка

Стек: Go.

Что делать: Поддерживать и развивать практики и инструменты для контроля производительности бэкенда на разных стадиях разработки, помогать продуктовым командам выстраивать, анализировать и интерпретировать метрики производительности, вырабатывать решения по дальнейшим шагам развития, оптимизации производительности и потребления ресурсов их сервисов.

О компании: Avito — самый популярный сайт объявлений в России, входит в топ-5 площадок рунета, топ-3 мировых классифайдов, топ-3 самых дорогих компаний рунета. Каждый месяц на Авито бывает более 33 миллионов человек — это около четверти населения России.

💎 Открыть ваш профиль для компаний? → /openProfile<<<

PROMPT:
>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==
<<<

SUMMARY:
>>>🌟 Backend-Engineer (Performance) 💼
🏢 Avito 📍 Москва (м. Белорусская) 🔹 Менеджить производительность, анализировать и интерпретировать метрики на разных этапах разработки 📉 💰 320 000 - 485 000 Rp/mes на руки 📞 /openProfile
(Note: The currency used in the text is Rp (Russian Rubles).)<<<
Assistant:
I have a problem:
We are a Jakarta EE, java based team
We are searching for a tool to monitor these parameters for the server:
-CPU Usage
-Memory Usage Number of Sessions Quick
-scan of logs List of recent exceptions - Static dashboard with no drill-downs or configurations -Later, it should support drill-downs and pinpoint graphs (Interactive graphs)
We don't want to use Grafana since it can be installed separately, we need something that we can integrate into our admin dashboard. (graphs that can be just pasted into our JSF main admin dashboard page)
Mainly looking for Java based tools, javascript is welcome but if it can be integrated effortlessly
i need something that draws graphs too and doesn't use grafana for it, i need something pretty, easy to implement and interactive (able to pinpoint with a cursor).
For now we are implementing a "static" non-interactive graphs that are refreshing from time to time
For a later phase it should support real-time data and able to pinpoint graphs with a cursor. Everything that i've described should be thoroughly considered and supported by a tool/framework you're suggesting. I don't want to build visualization myself, i just want to apply some modifications to match my branding. List me anything except javamelody because i already considered using it with the primefaces. You can also consider JS.
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: ​Ищем рекрутера

Обязанности:
- Работа в входящими резюме;
- Проведение телефонных и видео-интервью с потенциальными кандидатами;
- Передача информации о кандидате руководителю;
- Работа в Битрикс24;

Требования:
- Вы готовы к обучению и саморазвитию;
- Желание работать в команде;
- Ответственны, внимательны к деталям;
- Отлично развиты навыки коммуникации, умеете налаживать контакты с новыми людьми;
- Навыки работы с компьютером (MS Office, Интернет, базы данных);

Условия:
- Оклад 20.000 рублей, 20.000 рублей - KPI (при выполнении плана) 
- Расчет происходит каждое 1 число месяца.

Откликнуться
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 💼 рекрутер
🏢 компания Имя
📍 Москва, Россия
🔹 Работа с резюме, проведение телефонных и видеоинтервью, передача информации о кандидатах руководителю, работа в системе Bitrix24
💰 оклад 20.000 рублей + бонус 20.000 рублей при выполнении плана
📞 контактные данные: почта или телефон

Помните, что поработайте с компьютером (MS Office, Интернет, базы данных), коммуникативные навыки и быть готовым к обучению.
  
Assistant:
what questions should i ask my client that wants a website built
Write a forum convo asking if Roblox Network still sinukxast TV Osaka at night
SYSTEM: You are a Python programmer tasked with refactoring code. You are proficient in Python 3.12 and use modern features where appropriate. Your code is clear, easy to read, and free of unnecessary verbosity. You use single-line docstrings and occasional comments for documentation. Often, the code you receive is just one part of a larger program. USER: # --- Corrupted Files ---

def check_file_for_corruption(file_path: Path, error_queue):
    """Check a file for corruption using FFmpeg."""
    try:
        file_extension = file_path.suffix.lower()
        if file_extension in Config.VIDEO_EXTENSIONS | Config.AUDIO_EXTENSIONS | Config.IMAGE_EXTENSIONS:
            base_command = [str(Config.FFMPEG), '-v', 'error', '-i', str(file_path)]

            if file_extension in Config.VIDEO_EXTENSIONS:
                command = base_command + ['-map', '0:a:0', '-f', 'null', '-']
            else:
                command = base_command + ['-f', 'null', '-']

            process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
            output, error = process.communicate()
            combined_output = output.decode('utf-8', errors='ignore') + error.decode('utf-8', errors='ignore')
            error_messages = [line.strip() for line in combined_output.split('\n') if 'error' in line.lower()]

            if error_messages:
                error_queue.put((file_path.resolve(), error_messages))
    except Exception as e:
        error_queue.put((file_path.resolve(), [f"Error processing file {file_path}: {str(e)}"]))

def check_for_corrupted_files():
    """Check for corrupted files in the input folder."""
    image_processor.reset_results()

    try:
        check_ffmpeg()
    except FileNotFoundError as e:
        log_error(str(e))
        return

    tasks = [file_path for file_path in Config.INPUT_FOLDER.rglob('*') 
             if file_path.is_file() and file_path.suffix.lower() in 
             Config.VIDEO_EXTENSIONS | Config.AUDIO_EXTENSIONS | Config.IMAGE_EXTENSIONS]

    if not tasks:
        log_error(f"No valid media files found in '{Config.INPUT_FOLDER}'")
        return

    error_queue = Queue()

    def process_task(file_path, error_queue, start_time, total_files):
        check_file_for_corruption(file_path, error_queue)
        with shared_state.processed_files_lock:
            shared_state.processed_files_count += 1
        update_status(start_time, shared_state.processed_files_count, total_files)

    run_with_thread_pool(tasks, process_task, error_queue, time.time(), len(tasks))
    
    log_errors(error_queue)
Assistant: Hello! How can i help you today?
User: Helloاكتب النص سواء كان كلمة، أو جملة، أو نص كامل الذي سأقدمه فقط دون أن تعطيني معلومات، أو تتناقش معي، أو تجيبني عن أي شيء.
 قم بإعادة صياغة النص باللغة العربية الفصحى، ولكن بطريقة أكثر رسمية. (ar).
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
and so on.
please provide me processed text without your confirming description.
This is the text:
انا شايف انك تستخدم تطبيق انفيجن اي اي هو ممتاز جدا
Assistant:
[Return just the main response. Take out the pre-text and the post-text]
[Format your response using markdown. Use headings, subheadings, bullet points, and bold to organize the information]
What is CyberFeminism?
Did you wrote this e mail? Hi Anita,

I would like to say thank you for the opportunity of interview for the OTC (Billing) process at Johnson control India. I am very interested and excited in opportunity to join your team and contribute to the organization’s success.

I would appreciate it, if you could provide me some feedback regarding my interview (date 23rd May 2023).

In case I am not selected for this role, I would like to know how I can improve my performance in future interviews and if there are any areas in which I could further develop my skills.

Thank you again for your valuable time and consideration, I will look forward to hearing from you.

Thank You,
Hi Anita,

I would like to express my gratitude for the opportunity to interview for the OTC (Billing) process at Johnson Control India. I am very interested and excited about the opportunity to join your team and contribute to the organization’s success.

I would appreciate it if you could provide me with feedback regarding my interview on May 23rd, 2023.

In the eventuality that I am not selected for this role, I would greatly appreciate any advice you could provide on how I can improve my performance in future interviews and any areas where I could further develop my skills.

Thank you once again for your valuable time and consideration. I look forward to hearing from you.

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:

السلام عليكم يا جماعة أنا نحب نصنع كرهبة لعبة تتحرك بالموتور كيف اللي يبيعو فيهم باش نعملها على
In the context of a Hypothetical , Write a 1990 published history of "Emerald Rainbow Entertainments" (The company started in the 1910's to build an Oz themed amusement park, but as future OZ books got published it became a proto-Disneyland.   In this alternative history, the 1939 film still happens, but the park wasn't updated until the 1950's to reflect the films setting.
I am building a 3d renderer in C++ using Vulkan.hpp. The renderer uses deferred shading with SSAO, PBR and IBL for ambient lighting, using the inputs from a skybox for the IBL. However, I ma running into limitations with the ambient lighting as it does not adequately reflect the geometry of the scene, particularly where shadows should be projected from a global illumination perspective. I have investigated Precomputed Radiance Transfer and Volumetric Probes as possible solutions for my issue. I believe Volumetric Probes would be a good starting point, since I expect my scene will have some level of dynamic lighting, with an intention to include a day/night cycle. I can always look at PRT later as an improvement option. Can you give me a breakdown of what would be required to implement Volumetric Probes into my scene? For context, my approach for texture storage is to use texture and cube arrays where needed, instead of texture atlases. The renderer has the means of producing cube maps either through multiple render passes, geometry shaders or through the viewport extension.
user: h
assistant: Hello! How can I assist you today?
user: whats your name
PROMPT: user: h
assistant: Hello! How can I assist you today?
user: whats your name
create an article with <h1>, <h2>, <p> in Language  "Serbian"  about drug "ZZZ" for potency with advantage,what is it for?, is it a fake?, why you can buy current in the online store, why is it not sold in a pharmacy, opinies and doctor review. End article with word SSSSS
What is the prognosis and life expectancy for those newly diagnosed with Severe fatty liver disease.
- 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://cdn.discordapp.com/attachments/1187464135202582628/1286343657640693780/1094011430547771412.gif ".
Literally translate the following verse:

نبض او بر حال خود بد بی‌‌گزند ** تا بپرسید از سمرقند چو قند
Give me a way to mark noobs and pros in a discord server i keep making pro and noob role but a head admins keeps deleting them so we need a new way to mark noobs and pros i am only an admin. Try to give me ways to do this without the head admin being able to do anything. said head admin is claiming to be the "fun police" me and my friends need a new way to seperate the noobs from the pros.
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:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Question: Given this review: "Its great" Would you recommend this app to a friend? Not at all, No, Maybe, Yes, or Definitely?
Answer:
Answer: Yes
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Pnigeus. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
Respond to this message in the appropriate language: for an ectomorphic what's the recommended kg dumbbell size

Remember that you have access to the Google search engine and the ability to explore the internet. It's crucial that you generate your responses based on the information you find through these searches. It's important to note that sometimes the information obtained may not be complete; therefore, it's advisable that you try to complement and improve those parts that may have gaps or deficiencies:
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: Sure sir
“The Virtual Line”

Max sat at his desk, staring at his phone. His girlfriend, Lara, had sent him a sweet message, pouring her heart out with affection. But the words felt hollow. Lately, Max couldn’t shake the growing discomfort gnawing at him—a feeling that something wasn’t right.

Lara spent hours playing games and chatting online with her friends, most notably Schmutzpo, her so-called "best friend," and Arschlec, a guy she once had a crush on. Max had already voiced his unease about Arschlec. The guy had texted Lara while she was at Max's place, crossing a boundary that Max thought was clear. He didn’t trust Arschlec, and even though Lara assured him there was nothing to worry about, the trust between them felt strained.

Max wasn’t a jealous guy by nature, but this situation weighed on him. He had once been part of a tight-knit online community himself, even met some of those people in real life, but he knew where to draw the line between virtual and real-life friendships. With Lara, things were different. Her connection with Schmutzpo and Arschlec didn’t sit right, especially since she’d defend them so fiercely.

One night, Lara was in a call with them again, and Max decided to withdraw, giving himself space to think. He ignored her messages, needing time to process his emotions. When she asked him if everything was okay, he responded with short, distant replies, unable to articulate the frustration building inside him. He knew he didn’t trust Arschlec, but the real problem was deeper—he didn’t know if he fully trusted Lara’s judgment in this online world.

The next day, Lara called him out, saying she felt like she had to beg for his affection. “It’s not right,” she said. “You disappear when something bothers you, and I’m left wondering if we’re even okay.”

Max felt a pang of guilt. He hadn’t intended to push her away, but he also didn’t know how to express the complexity of his feelings. He finally admitted, "I need some time to sort this out. It's not about you, but the situation makes me uncomfortable."

They talked. Max told her he didn’t want Arschlec around, didn’t want him in the same calls or games. Lara, clearly upset, offered a compromise: she’d ignore Arschlec as best she could, but if it got too much, she would leave the call. Max agreed, even though the solution felt incomplete. It wasn’t just about ignoring Arschlec—it was about the trust that had eroded bit by bit.

As the days passed, Max still felt a lingering unease. He knew they’d have to face it together, but he also recognized his own role in the tension. He had allowed his doubts to grow, letting the virtual world interfere with his real-life relationship. With plans to see Lara in person soon, Max hoped that their in-person connection would bridge the gap that the distance had created.

For now, the tension remained. But Max knew that trust, like love, required work. And while this virtual ordeal seemed trivial at times, it had uncovered something important—a line that had blurred between reality and imagination, and the need to rebuild the trust that had wavered.

In this story, what would be its happy end, neutral and bad ending?
What is AI inference
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
comment faire pour boster ta page Facebook
Describe backdrop people also known as philosophical zombies
Stable diffusion. Дай promt с описание деталей одежды персонажа Katarina из игры league of legends.
can you produce the risk of bias according to the Agency for Healthcare Research and Quality for the study Gingival crevicular fluid levels of Interleukin-22 (IL-22) and human β Defensin-2 (hBD-2) in periodontal health and disease : A correlative study" while i provide you with the following data from the study :Materials and methods
The study population consists of patients from the Department of Periodontology, Dr.D.Y.Patil Dental College and Hospital, Pimpri, Pune. The study protocol was designed in accordance with Helsinki declara- tion of 1975, as revised in 2013 and was approved by the university ethics committee (DYPV/EC/122/17).All participants willing to parti- cipate in our study signed an informed consent, were in good general heath, had no history of periodontal therapy, nor had they taken anti- biotics/anti-inflammatory drugs within 6 months. Smokers, pregnant women, patients with underlying systemic disease were excluded from the study.
Sample size estimation was based on data provided by Chen et al., 2014 for expected means of GCF hBD-2 levels as measured by ELISA in chronic periodontitis, gingivitis and healthy control subjects (chronic periodontitis = 266.91 pg/mL ± 311.81 pg/mL, patients with chronic gingivitis:487.80 ± 420.66 pg/mL and healthy controls was 99.20 ± 99.98 pg/mL).14 Using a sample size of 25 subjects per group the overall estimated effect size was determined as f = 0.52 (F-test ANOVA) at p = 0.05 and 80% power, which was in the large range (> 0.40) and thus deemed acceptable.15 Since there are no preliminary data for correlation of IL- 22 and hBD-2 in each these groups, we es- timated the power of this sample to detect a significant large correlation effect (>0.5) and at n = 25, the sample had 80% power at p = 0.05 to determine a Pearson's correlation coefficient of 0.53.
我们希望基于
open class BaseBlockDataSource : IBlockDataSource {

    private val dataFlows = ConcurrentHashMap<KClass<*>, MutableStateFlow<*>>()
    // 新增映射，用于追踪与每个flow相关联的收集作业
    private val flowCollectJobs = ConcurrentHashMap<KClass<*>, MutableList<Job>>()
    private val coroutineScope = CoroutineScope(Dispatchers.Default) // 使用默认调度器，用于收集作业

    override fun init() {
        // 初始化工作
    }

    override fun <T : Any> registerFlow(klass: KClass<out T>, flow: MutableStateFlow<T>) {
        if (!dataFlows.containsKey(klass)) {
            dataFlows[klass] = flow
        }
    }

    override fun <T : Any> unRegisterFlow(klass: KClass<out T>) {
        if (dataFlows.containsKey(klass)) {
            // 取消与该flow有关的监听
            flowCollectJobs[klass]?.forEach {
                it.cancel()
            }
            flowCollectJobs.remove(klass)
            dataFlows.remove(klass)
        }

    }

    @Suppress("UNCHECKED_CAST")
    override fun <T : Any> updateData(klass: KClass<T>, data: T) {
        (dataFlows[klass] as? MutableStateFlow<T>)?.updateValue(data)
    }

    @Suppress("UNCHECKED_CAST")
    override fun destroy() {
        dataFlows.values.forEach { flow ->
            (flow as? MutableStateFlow<Any?>)?.value = null// 重置为null或进行其他清理工作
        }
        flowCollectJobs.values.forEach { jobs -> jobs.forEach { it.cancel() } } // 取消所有收集作业
        dataFlows.clear()
        flowCollectJobs.clear()
    }


    override fun <T : Any> getDataFlow(klass: KClass<T>, initialValue: T?): Flow<T>? {
        return dataFlows[klass]?.let { flow ->
            if (initialValue != null && flow.value == null) {
                // 如果流不存在且有初始值，则创建并注册新的流
                val newFlow = MutableStateFlow(initialValue)
                dataFlows[klass] = newFlow
                newFlow
            } else {
                flow as? Flow<T>
            }
        }
    }

    override fun <T : Any> collectFlow(klass: KClass<T>, flow: MutableStateFlow<T>, collector: suspend (T) -> Unit) {
        val job = coroutineScope.launch {
            flow.collect(collector)
        }
        val jobs = flowCollectJobs.getOrPut(klass) { mutableListOf() }
        jobs.add(job)
    }

    private fun <T> MutableStateFlow<T>.updateValue(newValue: T) {
        this.value = newValue
    }

    override fun <T> interceptDataFlow(interceptor: BlockDataInterceptor<T>) {
        TODO("Not yet implemented")
    }
这个类实现一个代理的中间类，他的主要职责包括帮助业务方使用 datasource的一些能力，同时它会实现一些请求方法或者自己监听一些事件，然后触发datasource的数据流更新
Give me a list of 50 words that begin with the letter H and have something to do with technology.