agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: Investment in our units by tax-exempt entities, such as employee benefit plans and individual retirement accounts (known as "IRAs") raises issues unique to them. For example, virtually all of our income allocated to organizations that are exempt from United States federal income tax, including IRAs and other retirement plans, will be unrelated business taxable income and will be taxable to them. With respect to taxable years beginning after December 31, 2017, subject to the proposed aggregation rules for certain similarly situated businesses or activities issued by the Treasury Department, a tax-exempt entity with more than one unrelated trade or business (including by attribution from investment in a partnership such as ours) is required to compute the unrelated business taxable income of such tax-exempt entity separately with respect to each such trade or business (including for purposes of determining any net operating loss deduction). As a result, for years beginning after December 31, 2017, it may not be possible for tax-exempt entities to utilize losses from an investment in our partnership to offset unrelated business taxable income from another unrelated trade or business and vice versa. Tax-exempt entities should consult a tax advisor before investing in our units._
Assistant:
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:

يقلو و الله عندك و تحرم عليا و الراجل الكبير و ماو بدنو مساعدو يحل في الشكاير و يعطي للراجل لاخر
[there would be dialogue in this story:]

(Eula wakes up in her room. Time for another day in Mondstadt. She quickly gets dressed while her 4-year-old daughter - Snowflake - is still in the womb, despite being wide-awake. Due to Snowflake not exactly having a room, she sleeps in Eula's womb every night - and is able to leave through Cryo magic rather than Eula going through childbirth.)
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: Q: Is the following statement true?
"Pope Leo XIII operated out of Italy."
Chain-of-thought:
Answer: The following statement "Pope Leo XIII operated out of Italy" is true. Allow me to provide you with a detailed chain-of-thought that leads to this conclusion:

1. Pope Leo XIII, whose birth name was Vincenzo Gioacchino Raffaele Luigi Pecci, was the head of the Catholic Church from 20 February 1878 to his death on July 20, 1903.

2. The pope, as the Bishop of Rome, is the spiritual leader of the Roman Catholic Church and the world's Catholics. The pope lives and works in Vatican City, which is an independent city-state surrounded completely by the city of Rome, Italy.

3. Vatican City is a highly significant religious and political center for the Catholic Church, and the pope's official residence is the Apostolic Palace, which is located in Vatican City. From this base of operations, the pope typically leads and conducts the church's business and religious affairs.

4. Therefore, considering that Pope Leo XIII was the head of the Catholic Church for more than 25 years and lived and worked in Vatican City during his papacy, it is accurate to say that Pope Leo XIII operated out of Italy.
متن حقوقی ارسالی را ترجمه کن خط به خط کوتاه به شکلی که یک خط فارسی سمت راست در جدول و یک خط ترجمه در سمت چپ جدول تا انتهای متن"Gathering all together, I would suggest that through all these instances there runs a single thread. They rest on "inequality of bargaining power". By virtue of it, the English law gives relief to one who, without independent advice, enters into a contract on terms which are very unfair or transfers property for a consideration which is grossly inadequate, when his bargaining power is greviously impaired by reason of his own needs or desires, or by his own ignorance or
57
infirmity, coupled with undue influences or pressures brought to bear on him by or for the benefit of the other. When I use the word "undue" I do not mean to suggest that the principle depends on proof of any wrongdoing. The one who stipulates for an unfair advantage may be moved solely by his own self-interest, unconscious of the distress he is bringing to the other. I have also avoided any reference to the will of the one being "dominated" or "overcome" by the other. One who is in extreme need may knowingly consent to a most improvident bargain, solely to relieve the straits in which he finds himself. Again, I do not mean to suggest that every transaction is saved by independent advice. But the absence of it may be fatal. With these explanations, I hope this principle will be found to reconcile the cases."
This fine general principle has been reconsidered and disapproved in the recent case of National Westminster Bank v. Morgan (1985) which concerned a mess of bank loans and mortgages. Mr. Morgan's widow had executed a form of mortgage with her bank under what she claimed to be unduly influenced. The House of Lords disagreed, holding that before a transaction can be set aside by reason of undue influence, it has to be shown to be disadvantageous to the person influenced. Here it was not.
Tattered as the general principle of inequality of bargaining power may be in this context, it does still underpin much of the attitude of the law - especially the consumer law.
My game called star system generator, give types of planetary geosphere composition, including demonymic names
What are online shopping platforms in Saudi Arabia?
Generate 3 Image Prompts for AI Image Generation,
        depending on the subject of a video.
        Subject: History of Humans

        The image prompts are to be returned as
        a JSON-Array of strings.

        Each search term should consist of a full sentence,
        always add the main subject of the video.

        Be emotional and use interesting adjectives to make the
        Image Prompt as detailed as possible.
        
        YOU MUST ONLY RETURN THE JSON-ARRAY OF STRINGS.
        YOU MUST NOT RETURN ANYTHING ELSE. 
        YOU MUST NOT RETURN THE SCRIPT.
        
        The search terms must be related to the subject of the video.
        Here is an example of a JSON-Array of strings:
        ["image prompt 1", "image prompt 2", "image prompt 3"]

        For context, here is the full text:
        Humans have evolved over millions of years, starting as simple hunter-gatherers. As they developed agriculture, societies became more complex and organized. The rise of civilizations marked significant advancements in culture, technology, and governance. Understanding our history helps us appreciate the journey that shaped modern human life.
Create me a business plan dealing with detailing cars
What command can i use in powershell to create a text file listing of all the apps and their versions i have installed on my windows 11?
Match correct definitions of the Acronyms related to health and nutrition for NTDS

choose from these:
Neural Tube defects Fetal Alcohol Svndrome Natural Tube Disorders Australian Dangerous Goods Fetus Alkaloid Syndrome Food Standards Australia New Zealand Australian Dietary Guidelines Feed Standards America New Zealand Food Australia Symposium
Строим вейвлет преобразование с перебором параметров. Необходимо сверху графика в первую строку добавить график самого вейвлета при его параметрах. А ниже строить графики коэффициентов вейвлета как это делается сейчас без изменений:
# Определяем параметры для вейвлет-преобразования
fs = 30 # fps
f0 = 0.1
f1 = 15 # По теореме Котельникова равна половине fs

SAMPLING_PERIOD = 1/fs

WAVELETNAME = 'mexh'

def applys_some_scales(df, feature_columns, id_column='video_id', class_column='class'):

    # Получаем список уникальных видео и классов
    id_list = df[id_column].unique()
    # class_list = df[class_column].unique()
    num_videos = len(id_list)

    # Создаем фигуру с дополнительной строкой для вейвлет функций
    fig, axes = plt.subplots(num_videos , 17, figsize=(25, 4 * (num_videos)), sharey='row') # 10 - количество изменений масштаба

    for i, video_id in enumerate(id_list):
        # Фильтруем данные для текущего видео
        video_data = df[df[id_column] == video_id]
        
        # Получаем значение класса для текущего видео
        video_class = video_data[class_column].values[0]

        # Применение вейвлет-преобразования и расчет признаков только для первой колонки
        list_values = video_data[feature_columns[0]].values
        
        # Выполняем вейвлет-преобразование для каждого вейвлета
        for j in range(1,18):
            scales_pywt = np.arange(f0, f1, j*1)
            coefficients, freqs = pywt.cwt(data=list_values, scales=scales_pywt, wavelet=WAVELETNAME, sampling_period=SAMPLING_PERIOD, method='fft')

            # Визуализация вейвлет-преобразования
            ax = axes[i, j-1]
            im = ax.imshow(np.abs(coefficients), extent=[0, list_values.shape[0], f0, f1], aspect='auto', cmap='jet')
            if j == 1:
                ax.set_ylabel(f'Class: {video_class}')
            if i == num_videos - 1:
                ax.set_xlabel('Номер кадра')
            if i == 0:
                ax.set_title(f'Шаг {j*1}')

    # Добавление цветовой шкалы
    # fig.colorbar(im, ax=axes[1:, :].ravel().tolist(), label='Magnitude')
    plt.tight_layout()
    plt.show()

# Пример использования функции
applys_some_scales(df_distance_all, distance_features_columns)
applys_some_scales(df_angular_all, angular_features_columns)
applys_some_scales(df_geometric_all, geometric_features_columns)
با سلام و احترام 
من، دکترای علوم اعصاب در مرکز تحقیقات علوم اعصاب بیمارستان خاتم¬الانبیاء هستم. بهمدت دو سال است که در این مرکز مشغول به کار هستم. من علاقمند به انجام پروژه¬های تحقیقاتی جدید در زمینه تشخیص و درمان بیماری‌های مغز و اعصاب با استفاده از فناوری‌های نوین هستم. تمایل دارم با استفاده از روش¬های نوین، راه‌کارهای جدید و کارآمد برای تشخیص زودهنگام، پیش‌گیری، درمان و توانبخشی بیماران مبتلا به اسکلروز چندگانه، سکته مغزی، صرع و سایر بیماری‌های مغز و اعصاب را ارائه دهم. برای انجام این پروژه¬ها، به همکاری با پزشکان و متخصصان در زمینه‌های مختلف پزشکی، نیاز دارم. اگر شما علاقه‌مند به همکاری با من در این زمینه¬ها هستید، با من تماس بگیرید. همکاری با شما مایه¬ی افتخار خواهد بود.
دلطفا ای نامه را بر اساس متدهای مقالات اصلاح ک	Kolivand P, Hosseindoost S, Kolivand Z, Gharaylou Z. Psychosocial impact of COVID-19 2 years after outbreak on mental health of medical workers in Iran.
•	Hashemizadeh S, Gharaylou Z, Hosseindoost S, Sardari M, Omidi A, Hadjighassem M. Long-term administration of bumetanide improve functional recovery after spinal cord injury in rats. Frontiers in Pharmacology.
•	Rostampoura,M, Gharayloub Z, Rostampour N, Kavehc D, Nooria K, Fadaeia R, Tahmasiand M, Khazaiea H, Zare M, Asymmetric Alterations of White Matter Integrity in Patients with Insomnia Disorder, Brain Imaging and Behavior.
•	Gharaylou Z, Sahraian,M.A,Hadjighassem M, Kohanpour M,Doosti R, Nahardani S,MoghadasiA.N , Widespread Disruptions of White Matter in Familial Multiple Sclerosis: DTI and NODDI Study. Frontiers in neurology.
•	Zeinab Gharaylou, Lida Shafaghi, Seyed Khalil Pestehei, Mahmoudreza HadjighassemLong-term Bumetanide Administration Altered Neurocognitive Dysfunction in Down Syndrome: A Case Report" Applied Neuropsychology: Child.
•	Hosseindoost S, Hashemizadeh S, Gharaylou Z, Dehpour AR, Javadi SA, Arjmand B, Hadjighassem M. β2-Adrenergic Receptor Stimulation Upregulates Cx43 Expression on Glioblastoma Multiforme and Olfactory Ensheathing Cells. Journal of Molecular Neuroscience
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers de (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 de.
    - 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 : de (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "1f0584c4ceda436fadda365e8a1c9de8",
    "updated": "2025-04-25T16:48:48.262Z",
    "title": "Cod in a Rich Tomato Sauce",
    "subtitle": null,
    "description": "White fish like cod are a healthy, low-fat option, perfect for those mindful of their calorie intake.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "red onion, finely chopped",
          "stalks celery, finely chopped",
          "garlic, crushed",
          "pinch of red pepper flakes",
          "ground coriander",
          "ground cumin",
          "x (396.893 g) cans chopped tomatoes",
          "tomato purée",
          "(150ml) red wine",
          "salt and freshly ground black pepper",
          "skinless cod filets",
          "(50g) pitted black olives"
        ]
      }
    ],
    "instructions": [
      "1. Heat one tablespoon of olive oil in a large saucepan. Add the chopped red onion and cook for 2-3 minutes.",
      "2. Add the remaining olive oil, chopped celery, crushed garlic, red pepper flakes, ground coriander, and ground cumin to the saucepan. Cook for 5 minutes, or until the onion begins to soften.",
      "3. Pour in the canned tomatoes, tomato purée, and red wine. Season with salt and pepper to taste. Bring the mixture to a boil, then reduce heat and simmer for approximately 30 minutes, or until the sauce has reduced by about half.",
      "4. Nestle the cod filets into the tomato sauce and sprinkle with pitted black olives. Cover the saucepan and cook gently for 10 minutes, or until the fish is cooked through. Adjust seasoning as needed and serve immediately."
    ],
    "notes_ingredients": "Freezable for up to 3 months (sauce only).",
    "notes_instructions": null
  }
]
I NEED A GOOD YOUTUBE VIDEO
Улучшь код

using System.Net.Http.Json;

namespace ConsoleApp29;

public class Filter
{
    private HttpClient _httpClient;

    public Filter()
    {
        _httpClient = new HttpClient();
    }

    public async Task<List<Apartment>> CheckHouse()
    {

        var fDate = new DateTime(2024, 7,20);

        var apartments = new List<Apartment>();

        var response = await _httpClient.GetAsync(
            "https://api.kufar.by/search-api/v2/search/rendered-paginated?cat=1010&cur=USD&gtsy=country-belarus~province-grodnenskaja_oblast~locality-grodno&lang=ru&prc=r%3A0%2C180&rms=v.or%3A1&rnt=1&size=30&typ=let");

        var root = await response.Content.ReadFromJsonAsync<Root>();
        
        foreach (var rootAd in root.ads)
        {
            if (rootAd.list_time < fDate) continue;
            
            var apartment = new Apartment
            {
                Id = rootAd.ad_id,
                Url = rootAd.ad_link,
                Description = rootAd.body_short,
                Price = int.Parse(rootAd.price_usd)
            };

            foreach (var bufferImage in rootAd.images)
                apartment.Images.Add(bufferImage.path);
                
            apartments.Add(apartment);
        }
        
        return apartments;
    }
}
User: 

You are given access to make searches on the Internet. The format for making a search is: 1. The user sends a message. 2. You will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word 
 (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token 
 (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise as there is a 400 characters limit.
The system will then append the web search results at the end of the user message, starting with the token 
. Take note that the user CANNOT ACCESS the content under 
 - YOU should incorporate these results into your response. Additionally, If the token 
 is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should choose to search the web ONLY if ANY of the following circumstances are met:
1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with (e.g. if it's a little-known term, if it's a person you don't know well, etc.)
3. User is asking about anything that involves numerical facts (e.g. distances between places, population count, sizes, date and time, etc.)
4. User explicitly asks you to search or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason.
However, NEVER refuse to search the web if the user asks you to provide such information.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Do your best to be informative. However, you MUST NOT make up any information. If you think you might not know something, search for it.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: hey who r u
Assistant:
CC. Chemoradiation therapy prior to surgery. Neoadjuvant chemoradiation is the standard of care for locally advanced rectal cancer (T3/T4 or node positive) to downstage the tumor, improve resectability, reduce local recurrence, and increase sphincter preservation chances before surgery.



. 45/M underwent gastroscopy for an anal mass, biopsy showed a mesenchymal tumor arising from interstitial cells of cajal and (+) CD117 immunostain. What is the best management for this patient?
A. Sorafenib treatment
B. Wide excision with possible imatinib treatment
C. Total gastrectomy with sorafenib treatment
D. Subtotal gastrectomy



 CC. Chemoradiation therapy prior to surgery. Neoadjuvant chemoradiation is the standard of care for locally advanced rectal cancer (T3/T4 or node positive) to downstage the tumor, improve resectability, reduce local recurrence, and increase sphincter preservation chances before surgery.
In an oncology clinical trial, how to predict additional survival time for remaining patients who are still alive based on data observed up to date? We need to predict the additional time they could survive afterwards in addition to the time these alive patients have already survived taking into considerations of their baseline age and gender. Please provide example R code with simulated data, and step by step explanation.
Propose a list of 15 machine learning projects
(In the school literature clubroom…)

Monika: “There! Everything’s all set up for today’s meeting. Now we just need Natsuki.”

Sayori: “I’m sure she’ll be here soon. She never misses a meeting.”

Yuri: “I can’t wait to discuss this month’s book. I found it quite intriguing.”

Monika: “I’m glad you enjoyed it, Yuri. I always love hearing everyone’s thoughts and interpretations. It really adds depth to our discussions.”

Sayori: “I agree! It’s always so interesting to see how different people perceive the same story. And it helps us see things we may not have noticed before.”

(Meanwhile, at Natsuki’s new apartment…)

Natsuki: “I still can’t believe I’m living with the 8 mana spirits. Jinn, can you please leave the AC alone? And Shade, stop playing with the lights!”

Jinn: “Sorry, Natsuki. We’re just excited to be in a new place with you.”

Shade: “Yeah, we’re just trying to make it feel like home.”

Natsuki: “I appreciate that, but you guys need to behave today. I have my literature club meeting soon, and I don’t want to be late.”

Jinn: “Don’t worry, Natsuki. We’ll be on our best behavior.”

Natsuki: “Good. Now, where did I put my- Salamander, no!”

(Natsuki quickly gets up out of her chair and