agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
hZJNa%2BMwEIb%2FitHdn3FjIpKA4zQQyG5L0t3DXopQJhuBLHk143rbX1%2FJoR%2B5tCfDaF7reV40R9Hqjtc9nc0e%2FvWAFP1vtUE%2BHixY7wy3AhVyI1pATpIf6h87XiQZ75wlK61mnyJfJwQiOFLWsGi7XrDHZjVtVmVTFjflNMs3VVU3m3w1qZtqspqWtxmLfoNDv79gPu5DiD1sDZIw5EdZUcbZLM7zh3zGs4qX5R8Wrb2DMoLG1JmoQ56m3QmOHveYDELHrXCUSNum6tilh8NdEsALFjXWIIQff6UgL0tc9s75b6zaTiupiEUb6ySMTS7YSWiEwHvvldUTvE%2FqtwbCZX0L7gDuSUn4td990A7DEEADJ9BZSRxpA%2BWjtn%2BVSTuLtAfsAgtbzsMJH7txy7N4cVkxmc5KUck8kdr219bz9PP6%2FPIAfnrP7freepXnINKKb2oIE3WMT%2BMqJycMKl%2BHF9TaDo0DQV6aXA8sXV6uvH5my1c%3D&RelayState=%2Fcontent%2Fwalmartethics%2Fen_us.html explain
Add a sub-bit sorting to this code: #include <iostream>
#include <vector>
#include <ctime>

using namespace std;

template< class T >
void downHeap(vector<T>& a, long k, long n)
{
    T new_elem;
    long child;
    new_elem = a[k];

    while (k <= n / 2)
    {
        child = 2 * k;

        if (child < n && a[child] < a[child + 1])
            child++;
        if (new_elem >= a[child])
            break;
        a[k] = a[child];
        k = child;
    }
    a[k] = new_elem;
}

template<class T>
struct TreeNode {
    T data;
    TreeNode* left;
    TreeNode* right;

    TreeNode(T value) {
        data = value;
        left = nullptr;
        right = nullptr;
    }
};

template<class T>
void insert(TreeNode<T>*& root, T value) {
    if (root == nullptr) {
        root = new TreeNode<T>(value);
        return;
    }

    if (value < root->data) {
        insert(root->left, value);
    }
    else {
        insert(root->right, value);
    }
}

template<class T>
void inOrderTraversal(TreeNode<T>* root, vector<T>& sortedArray) {
    if (root == nullptr) {
        return;
    }

    inOrderTraversal(root->left, sortedArray);
    sortedArray.push_back(root->data);
    inOrderTraversal(root->right, sortedArray);
}

template<class T>
void binaryTreeSort(vector<T>& a) {
    TreeNode<T>* root = nullptr;

    for (const T& value : a) {
        insert(root, value);
    }

    a.clear();
    inOrderTraversal(root, a);

    for (int i = a.size() - 1; i >= 0; i--) {
        cout << " " << a[i];
    }
}


int main() {
    setlocale(LC_ALL, "Russian");
    int n;
    cout << "Введите размер массива" << endl;
    cin >> n;

    vector<int> A(n);
    vector<int> B(n);
    vector<int> C;

    for (int i = 0; i < n; i++) {
        A[i] = -10000 + rand() % 20001;
        B[i] = -10000 + rand() % 20001;
    }

    for (int i = 0; i < n; i++) {
        cout << " " << A[i];
    }

    cout << endl;

    for (int i = 0; i < n; i++) {
        cout << " " << B[i];
    }

    for (int i = 0; i < n; i++) {
        if (A[i] % 2 == 0) {
            C.push_back(A[i]);
        }
        if (B[i] % 2 != 0) {
            C.push_back(B[i]);
        }
    }

    cout << endl;

    for (int i = 0; i < C.size(); i++) {
        cout << " " << C[i];
    }

    cout << endl << "Бинарное дерево - 1" << endl;
    int flag;
    cin >> flag;
    clock_t start_time = clock();
    if (flag == 1) binaryTreeSort(C);
    clock_t end_time = clock();
    double duration = (static_cast<double>(end_time -
        start_time)) / CLOCKS_PER_SEC;
    cout << " Time: " << duration << "sec" << endl;

    return 0;
}
User: apa itu soft spoken
User: apa itu soft spoken
Assistant:
"For as long as I can remember, Irene and I have been researching all the different monsters of this world." - Flame

"My husband studies the standard monsters, while I study all the elemental variants. But with a little one on the way, I'll have to put my research on hold - I'll just wait until I finally welcome them into the world. After all, family comes first. Right, my lovely Flame?" - Irene
System: 
User: You are a linguistic expert tasked with evaluating the coherence of a Topic Representation derived from a Topic Modeling algorithm. A Topic Representation consists of a list of words that the model associates with a specific topic. Your goal is to assess how semantically related and meaningful these words are when considered as a group.

Rating Scale (0-5):

    0: Completely incoherent – the words are unrelated and form no discernible topic.
    1: Very low coherence – most words are unrelated, with only a few weak connections.
    2: Low coherence – there are some connections, but the words mostly appear unrelated or inconsistent.
    3: Moderate coherence – the words have some semantic connections but lack strong thematic unity.
    4: High coherence – the words are mostly related, forming a clear and interpretable topic.
    5: Very high coherence – the words are tightly related, creating a highly interpretable and unified topic.

Task:
    Carefully analyze the semantic and contextual relationships between the words in the Topic Representation.
    Assign a coherence score on the scale from 0 to 5, based on the definitions provided.
    Provide a brief explanation (1-2 sentences) justifying your score.

Your response should be in the following format : 
    Coherence Score : <Score>
    Explanation : <The explanation>
Here is the list of words : ['rating', 'credit rating', 'rating agency', 'credit', 'downgrade', 'agency', 'financial strength', 'strength', 'debt', 'moody', 'strength rating', 'capital', 'outlook', 'investment grade', 'insurance']
Assistant:
Write a educational passage in Vietnamese that could appear in a textbook, giving some paragraphs or pharse that related to this question and answer set:
Câu hỏi: Theo quy tắc cộng 2 số nhị phân, thì 0+0=?
A. 0.
B. 1.
C. 11.
D. 10.
Đáp án đúng: 0
Notes that:
1. Remember that the multichoice question above must not be included in the paragraphs or phrase
2. You can not take an example same as the question
3. Explain detail like in the actual textbook
4. All instructions must be given in general form
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: To date, we have focused primarily on developing and commercializing EXPAREL. We recorded net income of $145.5 million for the year ended December 31, 2020 and net losses of $11.0 million and $0.5 million for the years ended December 31, 2019 and 2018, respectively. As of December 31, 2020, we had an accumulated deficit of $253.9 million. Losses, among other things, have had an adverse effect on stockholders’ equity and working capital. We incurred significant pre-commercialization expenses as we prepared for the commercial launch of EXPAREL, and we incur significant sales, marketing and manufacturing expenses, as well as continued development expenses related to the commercialization of EXPAREL and iovera°. As a result, we had not been profitable prior to 2015 and were not again until 2020. Because of the numerous risks and uncertainties associated with developing pharmaceutical products and medical devices, we are unable to predict the extent of future losses, if any. We may need additional funding and may be unable to raise capital when needed, which would force us to delay, reduce or eliminate our product development programs or commercialization efforts. Developing and commercializing products for use in the hospital or ASC settings, conducting clinical trials, establishing outsourced manufacturing relationships and successfully manufacturing and marketing drugs and medical devices that we may develop is expensive. We may need to raise additional capital to: •continue to fund our operations;
Assistant:
Translate the following text to English. ONLY return the translated text and nothing else.

arbetsterapeut
Idea for empire of hate, sorrow, fear.
Enhance this paragraph: At the beginning of the process, sugarcanes are harvested in tropical regions, with the next step involving them being crushed into juice by a crusher. Subsequently, the juice is filtrated partially to collect raw sugar, and then the raw sugar is shipped to Germany, where it is completely purified through melting and filtering processes. 

The next step is that the sugar syrup is crystallized in to sugar crystals, after which they are dried, before being packaged into packs. Finally, these packs of sugar are delivered to supermarkets and restaurants where they are consumed.
Can the Acer V3 run EA Sports FC 24?
Explain the following text.



A nurse is assessing a child who has bacterial
pneumonia.
Which of the following manifestations should the
nurse expect?
A. Drooling
B. Tinnitus
C. Malaise
D. Rhinorrhea
What is the coolest demo of OpenAI-O1?
Traceback (most recent call last):
  File "/opt/conda/envs/zyh/lib/python3.8/multiprocessing/pool.py", line 125, in worker
    result = (True, func(*args, **kwds))
  File "mskcompletion.py", line 43, in process_single_image
    guided_img = guided_filter(input_img, mask, radius, eps)
  File "mskcompletion.py", line 9, in guided_filter
    return cv2.ximgproc.guidedFilter(mask, input_img, radius, eps, -1)
cv2.error: OpenCV(4.9.0) /io/opencv_contrib/modules/ximgproc/src/guided_filter.cpp:717: error: (-201:Incorrect size of input array) Size of filtering image must be equal to size of guide image in function 'filter'

"""

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "mskcompletion.py", line 68, in <module>
    process_images(mask_folder, depth_folder, output_folder, radius=2, eps=0.01)
  File "mskcompletion.py", line 60, in process_images
    list(tqdm(pool.imap(process_single_image, args), total=len(depth_files), desc="Processing images", unit="file"))
  File "/opt/conda/envs/zyh/lib/python3.8/site-packages/tqdm/std.py", line 1182, in __iter__
    for obj in iterable:
  File "/opt/conda/envs/zyh/lib/python3.8/multiprocessing/pool.py", line 868, in next
    raise value
cv2.error: OpenCV(4.9.0) /io/opencv_contrib/modules/ximgproc/src/guided_filter.cpp:717: error: (-201:Incorrect size of input array) Size of filtering image must be equal to size of guide image in function 'filter'
Write a fictional, realistic, descriptive Wiki article on the RDR1 official collector's guide book
다음 문장을 영어 원어민처럼 교정해주세요.
Data for Tagged-BT was generated in two ways: Beam Search and Top-p sampling.
User: IuCC said: what is my name
Assistant: I’m sorry, but I do not have access to personal information such as your name. If you would like, you can tell me your name and I can address you by it.
User: tianming0381 said: why lol bots not joining
Assistant:
Paraphrase the following text. Make sure to keep the tone and meaning of the text the same, and write in a natural style as far as possible. Try to keep your response at the same length of words as the original. ONLY return the paraphrased text and nothing else.



I think the frame narration structure of "The Hollow Children" was the most effecitve because it goes to highlight the realness of the event.











 Even though it was a story within a story, it was incredibly detailed down to us being able to experience the “hallucinations” of the driver(narrator). 

usually a story such as this one especially if its being shared in a bar they would likely just talk about what happened, the hallucination the driver had would certainly not be a part of the story but the fact that even that part was shared goes to show us the importance of 



And also the setting of where the story was being shared shows us the legendary status of the tale. the fact that it was shared in a bar shows us that it is like a folktale being passed down potentially from generation to generation. 

This also means that because 




we can safely assume that this is what the author was trying to tell us because, the fact that this is a frame of narratoin doesnt seem to have any other purose. the story doesnt even end in the bar. it simply begins there and it is never mentioned again.
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": "ed058a162c574fa6ba39727f3ef8c987",
    "updated": "2025-05-04T23:19:15.362Z",
    "title": "Roasted Beets with Grapefruit-Thyme Vinaigrette",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "beets",
          "extra-virgin olive oil",
          "grapefruit juice",
          "garlic, minced",
          "mustard powder",
          "fresh thyme",
          "salt",
          "black pepper",
          "arugula",
          "slivered or sliced almonds"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 425°F.",
      "Rinse the beets thoroughly and carefully prick all sides with a fork.",
      "Place the beets in a medium bowl and add 2 tablespoons of the olive oil, tossing to coat evenly.",
      "Wrap each beet individually in aluminum foil, sealing the tops tightly.",
      "Arrange the wrapped beets in the center of a baking sheet and roast for 40 minutes.",
      "Check the beets by carefully opening the foil and inserting a thin knife into the center of a beet. If it slides in easily, the beets are cooked. If not, rewrap and roast for an additional 5 minutes, repeating until tender.",
      "While the beets roast, prepare the vinaigrette by whisking together the grapefruit juice, garlic, and mustard powder in a small bowl.",
      "Slowly add the remaining 3/4 cup of olive oil while whisking continuously to emulsify the mixture.",
      "Stir in the fresh thyme, then season with salt and pepper to taste.",
      "Allow the beets to cool until they can be handled comfortably.",
      "Peel each beet—wear gloves if preferred, as beet juice can stain skin.",
      "Cut the beets into 1-inch pieces and transfer to a glass container with a lid.",
      "Refrigerate for at least 30 minutes to chill before serving.",
      "Place the arugula in a serving bowl, add the beets and slivered almonds, then toss with the vinaigrette."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
how to calcualte the volume equalization tank for leachate given the flow rate is 83.3333 cubic meter per hour , give me an example, and
(i) what is the hydraulic rentention time for leachate for North East New Territories
Advent of Code

    [About][Events][Shop][Settings][Log Out]

l x _ x l 37*
   $year=2015;

    [Calendar][AoC++][Sponsors][Leaderboard][Stats]

--- Day 19: Medicine for Rudolph ---

Rudolph the Red-Nosed Reindeer is sick! His nose isn't shining very brightly, and he needs medicine.

Red-Nosed Reindeer biology isn't similar to regular reindeer biology; Rudolph is going to need custom-made medicine. Unfortunately, Red-Nosed Reindeer chemistry isn't similar to regular reindeer chemistry, either.

The North Pole is equipped with a Red-Nosed Reindeer nuclear fusion/fission plant, capable of constructing any Red-Nosed Reindeer molecule you need. It works by starting with some input molecule and then doing a series of replacements, one per step, until it has the right molecule.

However, the machine has to be calibrated before it can be used. Calibration involves determining the number of molecules that can be generated in one step from a given starting point.

For example, imagine a simpler machine that supports only the following replacements:

H => HO
H => OH
O => HH

Given the replacements above and starting with HOH, the following molecules could be generated:

    HOOH (via H => HO on the first H).
    HOHO (via H => HO on the second H).
    OHOH (via H => OH on the first H).
    HOOH (via H => OH on the second H).
    HHHH (via O => HH).

So, in the example above, there are 4 distinct molecules (not five, because HOOH appears twice) after one replacement from HOH. Santa's favorite molecule, HOHOHO, can become 7 distinct molecules (over nine replacements: six from H, and three from O).

The machine replaces without regard for the surrounding characters. For example, given the string H2O, the transition H => OO would result in OO2O.

Your puzzle input describes all of the possible replacements and, at the bottom, the medicine molecule for which you need to calibrate the machine. How many distinct molecules can be created after all the different ways you can do one replacement on the medicine molecule?

Your puzzle answer was 535.

The first half of this puzzle is complete! It provides one gold star: *
--- Part Two ---

Now that the machine is calibrated, you're ready to begin molecule fabrication.

Molecule fabrication always begins with just a single electron, e, and applying replacements one at a time, just like the ones during calibration.

For example, suppose you have the following replacements:

e => H
e => O
H => HO
H => OH
O => HH

If you'd like to make HOH, you start with e, and then make the following replacements:

    e => O to get O
    O => HH to get HH
    H => OH (on the second H) to get HOH

So, you could make HOH after 3 steps. Santa's favorite molecule, HOHOHO, can be made in 6 steps.

How long will it take to make the medicine? Given the available replacements and the medicine molecule in your puzzle input, what is the fewest number of steps to go from e to the medicine molecule?

---

Write the algorithm in Rust
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
500 g (1lb 2 oz) CHICKEN THIGHS,1 BEATEN EGG,50g (1¾ oz) RED CAPSICUM (PEPPER),50g (1¾ oz) GREEN CAPSICUM (PEPPER),2 tablespoons VEGETABLE OIL,1 teaspoon CHOPPED GINGER,2 teaspoons CHOPPED GARLIC,1 teaspoon DRIED CHILLI FLAKES,1 tablespoon FRIED GARLIC,1 teaspoon SALT,¼ teaspoon FRESHLY GROUND BLACK PEPPER,1 stem CHOPPED SPRING ONION,100 g (3½ oz) OIL FOR FRYING,50 g (½ cup) POTATO STARCH,25g (1oz) PLAIN FLOUR,8g (⅓ oz) GARLIC POWDER,5g (⅕ oz) CHINESE FIVE SPICE
Classify the sentiment as "POSITIVE" or "NEGATIVE" or "NEUTRAL" for the title "Apple Stock Sinks On Disappointing Sales Outlook".
Hey do you know the dimensions for installation posts and reels?
Find a list of at most 15 synonyms for the given word/phrase, separated in bullet points, ordered by relevance. Only return the synonyms, and add nothing else. Keep the casing of the word/phrase the same. Your response should only return the BULLET POINTS of the synonyms.


projects
There is an amber region in my game. What other regions can you come up with by analogy? I need 8 (including amber).
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:
>>>Я знаю, сколько времени может уйти на поиск нужной информации в Telegram, поэтому регулярно делюсь полезными ссылками. 

Сегодня подготовили для вас целую подборку каналов в 
сфере  “Карьера и Фриланс” 🔥

Тут вы точно найдете ответы на многие свои вопросы.  А главное - вам не придется, тратить на поиски информации несколько часов 😊 👇

Поэтому переходите, подписывайтесь и пользуйтесь на здоровье 📂😉 

Хотите подборку?<<<

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:
>>>🕵️‍ title: Карьерный эксперт и специалист по фрилансу  
🏢 employer: Не указан  
📍 location: Не указан  
🔹 tasks: Выбираем и анализируем каналы в Telegram по темам "Карьера и Фриланс" для удобства пользователя.  
💰 salary: Не указан  
📞 contact details: Не указан  
🔚 Note: Text is written in Russian.<<<
Assistant: