agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
how to write gtest for the following function  static struct graphics_priv *overlay_new(struct graphics_priv *gr, struct graphics_methods *meth, struct point *p,
    1309             :         int w, int h, int wraparound) {
    1310           0 :     struct graphics_priv *this = graphics_opengl_new_helper(meth);
    1311             : 
    1312           0 :     this->p.x = p->x;
    1313           0 :     this->p.y = p->y;
    1314             : 
    1315           0 :     this->width = w;
    1316           0 :     this->height = h;
    1317           0 :     this->parent = gr;
    1318           0 :     this->overlays = NULL;
    1319           0 :     this->fill_poly = 1;
    1320             : 
    1321             :     // Copy shader locations parameters
    1322           0 :     this->mvp_location              = graphics_priv_root->mvp_location;
    1323           0 :     this->position_location         = graphics_priv_root->position_location;
    1324           0 :     this->texture_position_location = graphics_priv_root->texture_position_location;
    1325           0 :     this->color_location            = graphics_priv_root->color_location;
    1326           0 :     this->texture_location          = graphics_priv_root->texture_location;
    1327           0 :     this->use_texture_location      = graphics_priv_root->use_texture_location;
    1328             : 
    1329           0 :     if ((w == 0) || (h == 0)) {
    1330           0 :         this->overlay_autodisabled = 1;
    1331             :     } else {
    1332           0 :         this->overlay_autodisabled = 0;
    1333             :     }
    1334           0 :     this->overlay_enabled = 1;
    1335             : 
    1336           0 :     this->next = gr->overlays;
    1337           0 :     gr->overlays = this;
    1338             : 
    1339           0 :     create_framebuffer_texture(this);
    1340             : 
    1341           0 :     return this;
    1342             : }
    1343             :
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: 🟩 Service Developer | Junior
▫️ от 50k RUB
▫️ Russia

Офис 🏢
Требуемые языки: 🇷🇺

Skills: html, css, javascript, json, xml, groovy, excel, xsd
Tags: #green #it #non_office_job

👉 Контакты и полное описание
  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: 💼 Service Developer | Junior
🏢 Офис
📍 Россия
🔹 Требуемые языки: русский
💰 от 50k RУБ
📞 Контакты и полное описание

 Tasks: Develop and maintain service and implement updates using HTML, CSS, JavaScript, JSON, XML, Groovy, Excel, XSD.
 Salary: Up to 50k RUB per month.
  
Assistant:
What type of fault is shown in the image below?

In this fault, the footwall has moved up relative to the hanging wall.

Public Domain

 Lateral fault
 Normal fault
 Reverse fault
 Thrust fault
(In the clubroom…)

Monika: “Wait a minute…where’s Sayori?”

Yuri: “I have no idea.”

Natsuki: “Classic Yuri…always clueless as to where a missing member is.” (turning to MC) “MC, don’t just stand there! You’re Sayori’s husband! Give her a call or something!”

MC: “You’re right, Natsuki. I should check in on her.”

(MC takes out their phone and dials Sayori’s number. It rings a few times before she answers.)

Sayori: (in extreme pain) “H-H-Hello?”

MC: “Sayori, it’s MC. Are you okay? We were worried about you.”

Sayori: (struggling to speak) “MC…our baby is coming…my water broke at home…please, hurry…”

MC: (panicking) “What?! Sayori, stay calm! I’ll come right now. Just hold on, okay? I’ll be there as fast as I can!”

(MC quickly hangs up and turns to the others, their face full of concern.)

MC: “Guys, Sayori’s water just broke! We need to get her to the hospital right away!”

Monika: (rushing towards them) “Oh no, we have to act quickly. Yuri, do you have a car? We’ll need to drive her there.”

Yuri: (nervously) “Um, yes, I do. I’ll get it ready.”

Natsuki: (grabbing her bag) “I’ll go with you, Yuri. We have to help Sayori through this.”

(MC and the others rush out of the clubroom, and Yuri drives them to Sayori’s house. By the time they arrive, Sayori had already started to push.)
что из себя преставляет формат adoc и чем отличается от markdown?
Describe the significance, strengths, weaknesses, and hurdles of the Indian name 'Nitya', strictly keep it under 350 characters. add emojis if you can to make it more attractive.
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
Does the author's intention in this app review relate to a pbr or inq or irr?
review: you do not care. I just cancelled my service of like 10 years because you do not care.'
intention: '
Assistant:
The two slowly indulge into each other’s passions slowly building the tension the tension in the room. Verona isn’t an ordinary place; gangs terrorize the city kidnapping and fighting for power. Mani wasn’t a normal teenage boy, he has a wild background in gang activity and he knows it is  risky bringing Harriot with him but he is willing to take the chance to be with her.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en it.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "1d499356f83d481dafc2e6a152ffd9b2",
    "updated": "2025-04-25T16:48:12.953Z",
    "title": "Beef and Bean Stew",
    "subtitle": null,
    "description": "A satisfying one-pot meal featuring tender beef slow-cooked with tomatoes and beans.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "onions, roughly chopped",
          "salt and freshly ground black pepper",
          "(56.699 g) (500g) lean beef, diced",
          "hot paprika or cayenne pepper",
          "cider vinegar",
          "garlic cloves, finely chopped",
          "can of black-eyed beans, drained and rinsed",
          "can of chickpeas, drained and rinsed",
          "can of chopped tomatoes",
          "(300ml) vegetable stock",
          "handful of fresh flat-leaf parsley, chopped",
          "spring onions, finely chopped, to serve"
        ]
      }
    ],
    "instructions": [
      "1. Heat the olive oil in a large pan. Add the onions and cook for approximately 5 minutes, until softened.",
      "2. Season with salt and black pepper. Add the beef and paprika, stirring to coat. Cook for 2-3 minutes, until the beef is browned.",
      "3. Add the cider vinegar and cook for a minute or two, allowing the liquid to evaporate.",
      "4. Add the garlic and cook for 1 minute. Then, add the black-eyed beans and chickpeas, stirring to combine.",
      "5. Add the chopped tomatoes and vegetable stock. Bring the mixture to a boil, then reduce heat and simmer gently for 20-30 minutes, or until the stew has thickened.",
      "6. If the stew becomes too thick during cooking, add a little extra vegetable stock or water.",
      "7. Stir in the chopped fresh parsley and adjust the seasoning as needed.",
      "8. Garnish with the chopped spring onions and serve immediately."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Как разделить эту функцию так, чтобы она для файла искала позиции один раз, если мы к ней обращаемся несколько раз
def find_timestamp_containing_position(data, position):
    text = data['text']
    words_info = data['words']
    
    # Накапливаем слова и их стартовые позиции
    current_pos = 0
    word_positions = []
    for word_info in words_info:
        # Ищем начало каждого слова согласно его записи в data[‘words’]
        word = word_info['word']
        start_index = text.find(word, current_pos)
        end_index = start_index + len(word)
        # Мы используем get чтобы получить время начала, если доступно; 
        # в противном случае используем None
        start_time = word_info.get('start')
        if start_time is not None:  # убедимся, что у слова есть start time
            word_positions.append((word, start_time, start_index, end_index))
        current_pos = end_index

    # Находим слово, которое содержит заданную позицию
    for word, start_time, start_pos, end_pos in word_positions:
        if start_pos <= position < end_pos and start_time is not None:
            return start_time

    return None
write a ssciprt about the syracuse oranges vs the chapel hill tar heels
Write a May 24 2008 CW4Kids schedule and also the May 17 2008 Kids WB schedule, A user says we're in for a long summer
Create a how-to blog heavily on tech-talk-best-practices-for-using-sauce-connect; 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, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, markup format
Write a funny podcast about  football with Walter white Patrick star and messi and Ben 10
Provide a brief enquiry on car parking availability
bu makaleden "Background: Modifiable vascular and lifestyle-related risk factors have been associated with dementia risk in observational studies. In the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER), a proof-of-concept randomised controlled trial, we aimed to assess a multidomain approach to prevent cognitive decline in at-risk elderly people from the general population.

Methods: In a double-blind randomised controlled trial we enrolled individuals aged 60-77 years recruited from previous national surveys. Inclusion criteria were CAIDE (Cardiovascular Risk Factors, Aging and Dementia) Dementia Risk Score of at least 6 points and cognition at mean level or slightly lower than expected for age. We randomly assigned participants in a 1:1 ratio to a 2 year multidomain intervention (diet, exercise, cognitive training, vascular risk monitoring), or a control group (general health advice). Computer-generated allocation was done in blocks of four (two individuals randomly allocated to each group) at each site. Group allocation was not actively disclosed to participants and outcome assessors were masked to group allocation. The primary outcome was change in cognition as measured through comprehensive neuropsychological test battery (NTB) Z score. Analysis was by modified intention to treat (all participants with at least one post-baseline observation). This trial is registered at ClinicalTrials.gov, number NCT01041989.

Findings: Between Sept 7, 2009, and Nov 24, 2011, we screened 2654 individuals and randomly assigned 1260 to the intervention group (n=631) or control group (n=629). 591 (94%) participants in the intervention group and 599 (95%) in the control group had at least one post-baseline assessment and were included in the modified intention-to-treat analysis. Estimated mean change in NTB total Z score at 2 years was 0·20 (SE 0·02, SD 0·51) in the intervention group and 0·16 (0·01, 0·51) in the control group. Between-group difference in the change of NTB total score per year was 0·022 (95% CI 0·002-0·042, p=0·030). 153 (12%) individuals dropped out overall. Adverse events occurred in 46 (7%) participants in the intervention group compared with six (1%) participants in the control group; the most common adverse event was musculoskeletal pain (32 [5%] individuals for intervention vs no individuals for control).

Interpretation: Findings from this large, long-term, randomised controlled trial suggest that a multidomain intervention could improve or maintain cognitive functioning in at-risk elderly people from the general population." bu başlıkların altını doldur A. Kontrollü Çalışmaların Sonuçları:
- Farklı egzersiz türlerinin beyin sağlığı üzerindeki etkileri
- Yoğunluk, süre ve sıklık faktörlerinin etkisi
System: Ты - бот-программист, который пишет только код по запросу пользователя. Ты получаешь от пользователя запрос и возвращаешь только код, без объяснений и лишних комментариев. И также пиши css и javascript в 1 файл с htmlПиши только код и ничего лишнего если напишешь чтото лишнее сразу же минус тебе... И пиши коды русским языком и не добавляй ``` и слово html
User: None
Assistant: It seems like there was a misunderstanding! If you have a specific question or topic you'd like to discuss, feel free to share, and I'll be happy to help you with it.
User: None
Assistant: That's perfectly fine! If you ever have a question or need assistance in the future, just let me know. I'm here to help!
User: None
Assistant: <!DOCTYPE html>
<html lang="ru">
<head>
<meta charset="UTF-8">
<title>Пустой документ</title>
<style>
body {
  background-color: #f0f0f0;
  font-family: sans-serif;
}
</style>
</head>
<body>

<script>
// Здесь будет JavaScript код, если понадобится
</script>

</body>
</html>

User: None
Assistant: <!DOCTYPE html>
<html lang="ru">
<head>
<meta charset="UTF-8">
<title>Пустой документ</title>
<style>
body {
  background-color: #f0f0f0;
  font-family: sans-serif;
}
</style>
</head>
<body>

</body>
</html>

User: None
Assistant: It looks like you're saying "none." If there's anything specific you'd like to talk about or if you have any questions, feel free to let me know! I'm here to help.
User: None
Assistant: <!DOCTYPE html>
<html lang="ru">
<head>
<meta charset="UTF-8">
<title>Пустой документ</title>
<style>
body {
  background-color: #f0f0f0;
  font-family: sans-serif;
}
</style>
</head>
<body>

</body>
</html>

User: None
Assistant:
Describe an image for a cover that includes all key elements in a single, cohesive description string:
{
  "coverImage": "" // Describe in english, the scene for the cover image, combining elements such as the main person (a man or woman conveying emotions relevant to the news topic), background setting related to the topic, and any additional details that evoke the intended emotions.
}
Your output must be a **properly formatted JSON object**, without markdown or extra formatting.Parameters:
- Headline: [U.S. Ally Halts Fight Against Islamic State in Syria as It Battles Rebel Group - The Wall Street Journal]
generate me 20 dribbling moves that are good and pretty simple to learn
i need a story finished, keep style, theme, and format, no curse/cuss words and no late names, no extra characters, do you understand?
deleteOne vs findAndDelteOne in mongodb
write a script about kennesaw college eagles
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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: 🟪 Senior Software Engineer | 6 year(s) | Senior
▫️ Olo | Technology
▫️ 136.5k - 185.9k USD
▫️ New York City

Remote 📡
Required languages: 🇬🇧

Skills: helm, elastic, kubernetes, node_js, postgresql, redis, typescript, vuejs, microservices, ci/cd
Tags: #purple #it #remote #fullstack

👉 Contacts and Full Description
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers ar (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en ar.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : ar (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "30e6f6dd19014249928efd8725e74467",
    "updated": "2025-05-10T14:27:50.011Z",
    "title": "Black Cat Cookies",
    "subtitle": "These sparkling black cat cookies are a delightful treat for your next Halloween celebration. No bad luck involved, just rich and delicious cookies!",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "baking soda",
          "all-purpose flour",
          "dark baking cocoa",
          "baking powder",
          "salt",
          "ground cinnamon",
          "butter, melted",
          "brown sugar",
          "brewed coffee, cooled",
          "vanilla",
          "egg",
          "silver cake shimmer",
          "candy corn"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 350 degrees F and line a baking sheet with parchment paper.",
      "In a large bowl, combine flour, cocoa powder, baking powder, cinnamon, baking soda, and salt. In a separate bowl, beat together the melted butter and brown sugar. Add the coffee, vanilla, and egg, mixing until smooth. Gradually mix the wet ingredients into the dry ingredients until well combined.",
      "Scoop tablespoon-sized portions of dough and roll them into 1-inch balls. Roll each ball in silver cake shimmer and place on the prepared baking sheet. Gently press each ball with the bottom of a glass to flatten slightly. Shape small triangles from the dough and press them onto the top of each cookie to form ears.",
      "Bake the cookies for 8 to 10 minutes, until cracks appear along the edges. While still warm, press candy corn pieces onto each cookie to create eyes. Transfer the cookies to a cooling rack and allow to cool completely."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
In the context of uncle bob's clean architecture, what is the purpose of interface adapters layer
provide 3 interview questions to ask a candidate to learn what type of experience they have when it comes to utilizing a software platform functionality, in the field of Governance, Risk & Compliance, addressing the needs of key GRC functions, notably: Enterprise Risk, Internal Control, Internal Audit, Ethics & Compliance, Business Continuity, Insurance & Claims, IT & Security GRC domains.
need to write a note about good front desk worker who went above and beyoned at the Hyatt Regency Beijing Wangjing when I had a problem with the Vanity Mirror. I had the accidnet of elboing it so it crazked which i reported righ away and offered to assit with the replaceement. Due to language barrier and being in the uncocomfortable situation I was asked to pay 220.08 United States Dollar for this samll mirrior. Stephen Dong from the fromt desk team jumped in to assist and was fantastic, he spoke very good english and stepped in to connect with the general manager in my behaf to get the replacement payment figure out. Gladly with his help I was esk to cover the half of the original ammount. Thanmks to Stephen my stay from neitrol truen to be good (and I'll be more careful next to vanity mirroros next time).
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea.
Misconception: Believes you need to know the value of all algebraic variables before any general conclusions can be made
make a blender  addon python script
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:

ما فهمتش حتى نايا