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: Climate changes, such as severe weather conditions, rising sea temperatures and rising sea levels, among others, and their long-term effects present potential negative effects to our business operations, financial condition and results of operations by decreasing availability of products, increasing compliance and operational costs and creating volatility and disruption to the global supply chain._In addition, federal, state and local governments could issue new or modify existing legislation and regulations related to greenhouse gas emissions and climate change and these government actions could impact us and our members, other customers and suppliers._
Assistant:
Write an extremely long story set in the elven village of Ravenwood about a human named Steven. His wife, an elf woman named Everest, who he lovingly called Ev, passed away. The two lived together in the city, but as per elven tradition, she is to be buried in her home village. Steven moved to her village as it is tradition for an elf's loved one to not live far from said elf's grave. He is still adjusting to living in a village. Have the story start with Steven at the village tavern, drinking his sorrows away, dreading the upcoming funeral while saying to himself he'll never love again. Everests oldest sister softly comforts him while he cries, he is clearly an emotional wreck since he misses her so much and can barely even talk. Everest's sister helps lead him back to his house in the village while he drunkenly cries. Have a scene of Steven the next day at her funeral, he tries to give a speech but suddenly breaks down crying. Have the rest of the story be about Steven struggling to cope with her death, being attached to anything that reminds him of her. Have 5 mind bogglingly long chapters. Do not introduce the characters or settings. Have plenty of dialogue. Do not include graphic content or content that would make it innapropriate. Have Steven clearly miss Ev and not know what to do without her since they'd do everything together. In Elven culture, it is uncommon to call people nicknames, so everyone besides Steven exclusively refers to Everest by her name. Have Steven not understand most of elven culture. Have Steven talk like a standard young adult. Start with the story and do not have anything besides the story and chapters in the message. Have the elves talk very polite and proper.
Assistant: 
User: System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this app review relate to a bug report or feature request or other?
review: So I guess I'll be back in touch with you Sunday. Is there anyway on your end to tell if it's been delivered?'
intention: '
Assistant:
Assistant:
import csv
from solders.keypair import Keypair
import base58
import requests

# Переменные для настройки
telegram_bot_token = "<TRUFFLEHOG_REDACTED_TELEGRAMBOTTOKEN>"  # Токен вашего бота
telegram_chat_id = "-1002497172182"  # ID чата, куда будут отправляться уведомления

def send_telegram_notification(public_key, private_key):
    message = f"Found Wallet - PublicKey: {public_key} PrivateKey: {private_key}"
    requests.get(f"https://api.telegram.org/bot{telegram_bot_token}/sendMessage?chat_id={telegram_chat_id}&text={message}")

def create_wallets(filename, search_term, search_position):
    if filename:
        file = open(filename, "w", newline="")
        writer = csv.writer(file)
        writer.writerow(["Wallet Address", "Private Key"])

    search_term_lower = search_term.lower()  # Преобразуем строку поиска в нижний регистр

    while True:  # Бесконечный цикл
        # Создание новой пары ключей
        keypair = Keypair()

        # Получаем публичный ключ
        public_key = str(keypair.pubkey())  # Преобразуем Pubkey в строку

        # Кодируем приватный ключ в base58
        private_key = base58.b58encode(bytes(keypair)).decode("utf-8")

        # Проверяем содержание искомой строки в публичном ключе в зависимости от положения
        public_key_lower = public_key.lower()  # Преобразуем публичный ключ в нижний регистр
        
        if search_position == "beginning" and public_key_lower.startswith(search_term_lower):
            match = True
        elif search_position == "end" and public_key_lower.endswith(search_term_lower):
            match = True
        elif search_position == "anywhere" and search_term_lower in public_key_lower:
            match = True
        else:
            match = False

        if match:  # Если искомое слово найдено
            if filename:
                writer.writerow([public_key, private_key])  # Сохраняем в файл
            # Всегда выводим найденный кошелек в консоль
            print(f"Found Wallet - PublicKey: {public_key} PrivateKey: {private_key}")

            # Отправляем уведомление в Telegram
            send_telegram_notification(public_key, private_key)
            
            break  # Выход из цикла, если кошелек найден

    if filename:
        file.close()  # Закрываем файл после записи

# Задайте параметры здесь
output_file = "wallets.csv"  # Задайте имя файла, если нужно
search_term = "solana"          # Задайте строку для поиска
search_position = "beginning"  # Задайте положение для поиска ('beginning', 'end', 'anywhere')

# Вызов функции с заданными параметрами
create_wallets(output_file, search_term, search_position)

print(f"Wallets saved to {output_file}")

я хочу искать список слов 
и искать всегад а не до первого надйенного
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "889f111510164ec4b0ce6c672eac3394",
    "updated": "2025-05-09T01:00:25.400Z",
    "title": "High Sparrow Sugar Cookie",
    "subtitle": "Inspired by an important member of a religious group called the \"sparrows,\" these sparrow-shaped cookies are a treat for children. The addition of almond imparts a pleasant crunch, and the cookies can be stored in an airtight container for later enjoyment.",
    "description": "A straightforward guide to making these delightful almond-flavored sugar cookies.",
    "ingredients": [
      {
        "section": "for cookie",
        "ingredients": [
          "almond extract",
          "all-purpose flour",
          "baking powder",
          "sugar",
          "orange juice",
          "butter",
          "egg"
        ]
      },
      {
        "section": "for the glaze",
        "ingredients": [
          "some water",
          "light corn syrup",
          "sliced almond",
          "sugar"
        ]
      }
    ],
    "instructions": [
      "1. In a large bowl, combine and beat all the cookie ingredients until well mixed.",
      "2. Divide the dough into three equal parts and chill in the refrigerator for 2 hours.",
      "3. Prepare a glaze by mixing water and light corn syrup, and set aside.",
      "4. Roll out the dough and cut into bird-shaped cookies.",
      "5. Decorate the cookies using sliced almonds to create tails and wings.",
      "6. Preheat the oven to 400 degrees Fahrenheit.",
      "7. Bake the cookies for 10 minutes, or until they are lightly browned.",
      "8. Allow the cookies to cool on a wire rack.",
      "9. Once cooled, brush the cookies again with the corn syrup glaze and sprinkle with sugar."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
I am trying to create a prompt for a llm that generates synthetic data based off the following information: ""
The KTO trainer expects a very specific format for the dataset as it does not require pairwise preferences. Since the model will be trained to directly optimize examples that consist of a prompt, model completion, and a label to indicate whether the completion is “good” or “bad”, we expect a dataset with the following columns:

Expected dataset format:

prompt
completion
label
for example:

kto_dataset_dict = {
    "prompt": [
        "Hey, hello",
        "How are you",
        "What is your name?",
        "What is your name?",
        "Which is the best programming language?",
        "Which is the best programming language?",
        "Which is the best programming language?",
    ],
    "completion": [
        "hi nice to meet you",
        "leave me alone",
        "I don't have a name",
        "My name is Mary",
        "Python",
        "C++",
        "Java",
    ],
    "label": [
        True,
        False,
        False,
        True,
        True,
        False,
        False,
    ],
}""
I'm making a medieval fantasy game. Help me come up with a human faction with the following parameters: tribe. Use Northern Europe as a reference.

Describe on the following points:
1. The name of the faction (proper name).
2. The coat of arms of the faction.
3. Description of the fraction.
4. Culture of the faction (proper name).
5. Description of the culture.
6. The name of the religion (proper name).
7. Description of religion.
8. The background of the faction.
9. The name and dynasty of the ruler.
10. The personality of the ruler.
11. The dynastic coat of arms.
12. Age, appearance and family of the ruler.
13. Three vassal states (name, description, coat of arms, name and identity of the rulers, relationship with the suzerain)
\
Create eng mg 2 line - hello I have checked the UAN number for epf account is not mentioned in my salary slip so I visited the government website  the official one and I follow the steps to know my UAN number but it says its not is not exist with my phone nmbr and pan number kindly help me with that
Write a news article where  a customer at Silverburn sees a McDonalds van driving AWAY, and when he visits the McDonalds it had a red banner with the McDonalds logo and the word CLOSED in bold
compare mtn vodacom cell c prepaid data bundles
translate into arabic but be accurate and don't skip any word. "  In 1956, the United Nations responded to the
Suez Crisis by convening a United Nations
Emergency Force to supervise the withdrawal of
invading forces. The peacekeeping force was
initially conceptualized by Secretary of External
Affairs and future Prime Minister Lester B.
Pearson.[200] Pearson was awarded the Nobel
Peace Prize in 1957 for his work in establishing
the peacekeeping operation.[200] Throughout
the mid-1950s, Louis St. Laurent (12th Prime
Minister of Canada) and his successor John
Diefenbaker attempted to create a new, highly
advanced jet fighter, the Avro Arrow.[201] The
controversial aircraft was cancelled by
Diefenbaker in 1959. Diefenbaker instead
purchased the BOMARC missile defense system
and American aircraft. In 1958 Canada
established with the United States) the North
American Aerospace Defense Command
(NORAD).[202]

In 1604, a North American fur trade monopoly
was granted to Pierre Du Gua, Sieur de Mons.
[49] The fur trade became one of the main
economic ventures in North America.[50] Du
Gua led his first colonization expedition to an
island located near the mouth of the St. Croix
River. Among his lieutenants was a geographer
named Samuel de Champlain, who promptly
carried out a major exploration of the
northeastern coastline of what is now the United
States.[49] In the spring of 1605, under Samuel
de Champlain, the new St. Croix settlement was
moved to Port Royal (today's Annapolis Royal,
Nova Scotia).[51]
The Quebec Settlement A.—The Warehouse. B.
Pigeon-loft. C.—Detached Buildings where we
keep our arms and for Lodging our Workmen. D.
Another Detached Building for the Workmen.
E.—Sun-dial. F.—Another Detached Building
where is the Smithy and where the Workmen are
Lodged. G.—Galleries all around the Lodgings.
H.—The Sieur de Champlain's Lodgings. 1.—The
door of the Settlement with a Draw-bridge. L
Promenade around the Settlement ten feet in
width to the edge of the Moat. M.—Moat the
whole way around the Settlement. 0.—The Sieur
de Champlain's Garden. P.—The Kitchen. Q.—
Space in front of the Settlement on the Shore of
the River. ft—The great River St. Lawrence. "
Client msg -Tamnna Marwah

12:05 AM

Hi Simon,

Thank you for your patience. As I mentioned earlier, I have already checked the indexing status of all the new location pages, and they are correctly indexed on Google. The technical aspects are also fine. However, we need to work on adding internal links to these pages, and I will start doing that tomorrow. Regarding the keywords you've mentioned, I noticed that some have dropped in rankings. I'll take a closer look at 'Marquee Hire Kent', 'Marquee Hire Sussex', 'Marquee Hire Surrey', 'Kent Freezer Trailer Hire', and 'Chiller Trailer Hire Kent'. Once I analyze them, I'll come up with a plan to improve their rankings.

(edited)

SR

Simon Reddy

12:45 AM

Thank you.

When will you have the plan ready?

We're at a critical point of the year for the business, when the majority of our bookings come in, so it's very important we're as high in the ranking as possible

We're so spending on Google adwords for maximum exposure my revrt as tamana seo expert
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:

تشابه نقاط الاستفهام الخ ليس لمثل تلك الترهات ان ترتقي و ليس لبعض الترهات من نوع تشابه الحروف و تشابه الفواصل
Create a 4-scene educational outline for: Projectile motion explaination with example case



Requirements:
- Each scene demonstrates ONE visual concept using simple Manim objects
- Progress from basic concepts to more complex applications
- Focus on CLEAR VISUAL DEMONSTRATIONS with minimal text
- Use different types of visuals for each scene

Format each scene as:
<SCENE_1>What specific visual concept will be demonstrated (use simple objects)</SCENE_1>
<SCENE_2>What specific visual concept will be demonstrated (use simple objects)</SCENE_2>
<SCENE_3>What specific visual concept will be demonstrated (use simple objects)</SCENE_3>
<SCENE_4>What specific visual concept will be demonstrated (use simple objects)</SCENE_4>

Focus on what will be VISUALLY SHOWN using basic Manim objects.
How to create a contract labor for tailoring
The default language is Chinese. Respond in this language.

Explain the following text.



soon.
Suppose I am conducting a research paper on time series data entitled “The Nexus Among Oil Price, Stock Market, and Exchange Rate During Recent Pandemic & Russia-Ukraine Crisis: Fresh Evidence from UK Economy”. Here I have taken three variables Stock Index (SI), Brent Oil Price (OP), and Exchange Rate (ER). I have taken time series data from 2014-2023 segmenting into four periods. 2014-2019 for Pre-covid Period; 2020-2021 for Covid Period; 2022-2023 for War Period and 2014-2023 for the Overall Period. My Research Questions are:
1. Does each variable have a direct influence on others?
2. Does each variable granger cause one another and does the stock market work as a mediating variable for shock transmission?
3. Is there any moderating impact of oil price on the dynamic conditional correlation (DCC) between the stock market and exchange rate?

For data analysis, I have checked other relevant literature.

For research question 1, most of them used the VAR model to check the direct influence of variables on each other. For research question 2, most of them used VAR Granger Causality and determined if the stock market transmits the shock as a mediating variable or not. I haven’t found any paper on my 3rd research question but a paper suggested a technique to address it in their future research question. I am giving their exact quotation, “The moderating effect of oil can be estimated by using the NARDL framework for studying the direct influence of OP on the DCCs between SI and ER”.

But the problem is that, for my 1st and 2nd, I can’t use the VAR model as I have autocorrelation and heteroskedasticity which I can’t remove even after log transforming or log differencing the variable. I also can’t use VECM Model either as my variables are not co-integrated from the Johansen co-integration test. Therefore give me a solution for my model. Which other econometric model can I use that takes autocorrelation and heteroskedasticity into account for my 1st and 2nd research questions as well as also give me guidelines on how to approach the analysis of my 3rd research question? I am really lost here. I don’t know how to analyze the process in R. And What about VAR-GARCH, I have seen some research paper used it. Does it suit my research question? If suited, include the R commands for VAR-GARCH too?
“Due to the complexity of the TME and some pathways, our study only revealed the relevance of some factors such as chemokines and T cells to the TME. " can you paraphrase it at academic writing style?
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: Who were the next settlement of people on Norfolk Island descended from?
 A: These were the descendants of Tahitians and the HMS Bounty mutineers, including those of Fletcher Christian.
 Does the answer correctly answer the question
Answer: Yes, the answer correctly answers the question. 

The next settlement of people on Norfolk Island were primarily descended from the Tahitians and the HMS Bounty mutineers, including those of Fletcher Christian. This unique mix of settlers has created the rich cultural heritage of the island today.

In 1789, the HMS Bounty, led by Captain William Bligh, sailed from Tahiti to the West Indies. On April 28th, 1789, crew member Fletcher Christian led a mutiny against Captain William Bligh and took control of the ship. Bligh and 18 loyalists were forced into an open boat, while the mutineers sailed back to Tahiti.

Following the mutiny, some of the mutineers decided to stay on Tahiti and the others, led by Fletcher Christian, his wife Maimiti (a daughter of a Tahitian chieftain), and eight other Tahitian men, twelve Tahitian women, and one child, left Tahiti in search of a safe haven. They eventually settled on Pitcairn Island in 1790 and began a new life there in isolation.

In the years that followed, the population of Pitcairn Island increased, and by the mid-1800s, the island's limited resources could no longer support the growing community. As a result, the need for relocation arose. The British government offered them Norfolk Island as a new home, and in 1856, the entire community of nearly 200 people moved to Norfolk Island, thus establishing the next settlement on the island.

The Norfolk Islanders, also known as the Pitcairn Islanders, were a blend of European (primarily British) and Tahitian heritage, as they were descendants of both the HMS Bounty mutineers and the Tahitians. The island's current population has a unique culture and speaks a distinct language called Norfolk, which is a blend of old English and Tahitian. This multicultural background has significantly helped shape the identity of Norfolk Island and its people today.

In summary, the next settlement of people on Norfolk Island was primarily descended from the Tahitians and the HMS Bounty mutineers, including those of Fletcher Christian. Their unique culture, language, and history continue to define the island and its people.
make me an esay about the bagpipes
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: Won't play live streams'
intention: '
Assistant:
Assistant:
simple eng -Shark Tank India judge Aman Gupta-led boAt has reportedly suffered a massive data breach.

According to a Forbes report, the personal data of over 75 lakh users, including names, addresses, contact numbers, and email IDs, has been exposed on the dark web.

The report stated that the data breach occurred on April 5, 2024, by a hacker named 'ShopifyGUY,' who claimed to have dumped more than 2GB of boAt customer data and made it available on the dark web.

The leak poses serious risks, such as financial fraud and identity theft, making individuals vulnerable to phishing attacks where scammers might impersonate legitimate companies to steal more information.