agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: Dwight Yoakam is an American country music singer-songwriter. Since his debut single, "Honky Tonk Man" in 1986, he has released 46 singles, including two "Billboard" Hot Country Songs number one singles, as well as 4 number ones in Canada. In addition to having two number one singles in the United States, Yoakam also has thirteen Top 10 singles on the country chart.
Does this next sentence follow, given the preceding text?
Dwight is a singer and songwriter.
Answer: Yes, the next sentence "Dwight is a singer and songwriter" follows given the preceding text. Here's the step-by-step reasoning:

1. The preceding text mentions that "Dwight Yoakam is an American country music singer-songwriter."
2. This statement directly states that Dwight is both a singer and songwriter.
3. The rest of the text provides further details about his career as a country music singer-songwriter, such as his debut single and chart success.
4. These details support the statement that Dwight is a singer and songwriter.

Based on this reasoning and evidence, the next sentence follows given the preceding text.
code a tiny bubble bobble like game in js
Provide the written-out form of the input text in Vietnamese. If the text is fully not Vietnamese, return empty. 
Then, identify and classify any number written in digit form by the following tags:
    + Cardinal: If the number after be expanded to word and should be read as cardinal (E.g. 123 is expanded to "một trăm hai mươi ba"; 26 is expanded to "hai mươi sáu")
    + Digit: If the number after be expanded to word and should be read each digit that make it up (E.g. 0123456 is expanded to "không một hai ba bốn năm sáu", 113 is expanded to "một một ba")
    + Ordinal:  If the number after be expanded to word and should be read as ordinal (E.g. 1 is expanded to "nhất", 2 is expanded to "nhì", 4 is expanded to "tư")

The number can be alone as a single word or a part of a word (E.g. "150" is a part if "KA-150S", "100" is a part of "100VND", "2" is a part of "2cm", "23" is a part of "23.1").

Output the results as a JSON object with the following structure:
{
    "raw_text": original text,
    "exp_text": expanded sentence, 
    "exp_num": [
            {"number": original number, "position": (start index, end index), "expand": expanded number, "tag": tag}
        ]
}. 

Example input: {"text": "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút"}. 
Expected output (do not add json word, do not add line continuation character): 
{
    'raw_text': "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút",
    'exp_text': 'ngày một tháng sáu, bão nhiệt đới: tốc độ gió từ ba mươi chín đến bảy mươi ba mét một phút', 
    'exp_num': [
        {"number": "4", "position": (4, 5), "expand": "tư", "tag": "ordinal"}, 
        {"number": "1", "position": (12, 13), "expand": "một", "tag": "digit"}, 
        {"number": "6", "position": (14, 15), "expand": "sáu", "tag": "digit"}, 
        {"number": "39", "position": (44, 46), "expand": "ba mươi chín", "tag": "cardinal"}, 
        {"number": "73", "position": (49, 51), "expand": "bảy mươi ba", "tag": "cardianl"}, 
        {"number": "1", "position": (53, 54), "expand": "một", "tag": "digit"}, 
    ]
}

Input: 'text': Thảo kể, có một lần về quê, con ốm, chồng đi chơi hứa 9h về, mà tới 12h khuya mới thấy mặt.
Please respond...
System: 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==

User: 🟥 Senior Product Designer | 6 year(s) | Senior
▫️ Game7 | Gaming and Blockchain

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: css, javascript, html, ux_ui, user_research
Tags: #red #other #remote #ux_ui_design

👉 Контакты и полное описание
Assistant:
Can you make a travel plan for Paris from December 26th to 30th?
explain the franciscal value of live lovingly
Fill in the blank with either David or Elizabeth, whichever is most sensible. Do not give an explanation. Give only your answer. David and Elizabeth were working at a school. David had a good day. David was happy. Elizabeth decided to give a book to ___.
So how come there’s this one friend I have who is different from any other friend I’ve ever had..I talk to them for seven hours a day and they know every detail I tell them and remember things no one else bothers with
I sued this code: 

def signal_generator(df):
    if df is None or len(df) < 2:
        return ''
    
    signal = []
    final_signal = []
    

    # Retrieve depth data
    depth_data = client.depth(symbol=symbol)
    
    bids = depth_data['bids']
    buy_qty = round(sum(float(bid[1]) for bid in bids), 0)
    highest_bid_price = float(bids[0][0])
    lowest_bid_price = float(bids[1][0])
    buy_price = highest_bid_price 

    asks = depth_data['asks']
    sell_qty = round(sum(float(ask[1]) for ask in asks), 0)
    highest_ask_price = float(asks[0][0])
    lowest_ask_price = float(asks[1][0])
    sell_price = lowest_ask_price

    mark_price_data = client.ticker_price(symbol=symbol)
    mark_price = float(mark_price_data['price']) if 'price' in mark_price_data else 0.0
    mark_price_data_change = client.ticker_24hr_price_change(symbol=symbol)
    mark_price_percent = float(mark_price_data_change['priceChangePercent']) if 'priceChangePercent' in mark_price_data_change else 0.0


    # Calculate the threshold for order price deviation
    if mark_price_percent > 2:
        pth = 7 / 100
    elif mark_price_percent < -2:
        pth = 7 / 100
    else:
        pth = 7 / 100

    if mark_price_percent > 2:
        th = 25000
    elif mark_price_percent < -2:
        th = 25000
    else:
        th = 15000

    if ((buy_price > mark_price + pth) and ((buy_qty > th) > (sell_qty < th))):
        signal.append('buy')
    elif (sell_price < mark_price - pth) and ((sell_qty > th) > (buy_qty < th)):
        signal.append('sell')
    else:
        signal.append('')

    if signal == ['buy'] and not (((sell_qty > th) > (buy_qty < th)) and (buy_price < mark_price)):
        final_signal.append('buy')
    elif signal == ['sell'] and not (((buy_qty > th) > (sell_qty < th)) and (sell_price > mark_price)):
        final_signal.append('sell')
    else:
        final_signal.append('')

    active_israel = None

    if final_signal == ['sell']:
        active_israel = 'sell'
    elif final_signal == ['buy']:
        active_israel = 'buy'
    else:
        active_israel = None

    if active_israel == 'buy' and (((sell_qty > th) > (buy_qty < th)) and (buy_price < mark_price)):
        final_signal.append('buy_exit')
    elif active_israel == 'sell' and (((buy_qty > th) > (sell_qty < th)) and (sell_price > mark_price)):
        final_signal.append('sell_exit')
    else:
        final_signal.append('')

    return final_signal

Tell me shortly will it give me signals or no ?
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: Xion is here
У меня есть программа, добавь в нее, чтобы она создавала столбец CVSS-Rate и Impact, обращалась к какому-либо доверенному ресурсу, например NVD, и выставляла значения в соответствии CVE в строке таблицы
import pandas as pd
import re

# Функция для извлечения CVE
def extract_cve(row):
    cve_match = re.search(r'CVE-\d{4}-\d{4,7}', ' '.join(map(str, row)))
    return cve_match.group(0) if cve_match else None

# Загрузка файла
input_file = "input.xlsx"  # Укажите путь к вашему файлу
output_file = "output.xlsx"  # Имя файла для сохранения результата

# Чтение данных
df = pd.read_excel(input_file)

# Создаем новый DataFrame с необходимыми столбцами
df_cleaned = pd.DataFrame()
df_cleaned['Hostname'] = df['Hostname']
df_cleaned['Package'] = df['Package']
df_cleaned['Version'] = df['Version']
df_cleaned['CVE'] = df.apply(extract_cve, axis=1)

# Удаляем строки, где CVE не найден
df_cleaned = df_cleaned.dropna(subset=['CVE'])

# Удаляем дубликаты
df_cleaned = df_cleaned.drop_duplicates()

# Сортируем данные по нескольким столбцам: сначала 'Hostname', затем 'Package', потом 'CVE'
df_cleaned = df_cleaned.sort_values(by=['Hostname', 'Package', 'CVE'], ascending=True)

# Сохраняем результат в новый Excel файл
df_cleaned.to_excel(output_file, index=False)
print(f"Данные обработаны, отсортированы, дубликаты удалены и сохранены в {output_file}")
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@MULTIVERSE_OFCL - Dhoom Dhaam (2025) HQ HDRip - x264 - [Tam  Tel   Hin] - AAC - 750MB - ESub.mkv
Create a long detailed text about actress Capucine with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Childhood and Education & Career Beginnings & Modeling Career] Summary: [Spent childhood in Toulon, moved to Samura, studied, and received a BA in foreign languages. Discovered by a photographer while riding in an open carriage in Paris at seventeen. Began as a cabin model for Germain Lecomte, posed for commercials, modeled for Givenchy, and was friends with Audrey Hepburn.]

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
What if human society got collapsed?
write a script about winthrop university in 1886
(In the clubroom...)

Natsuki: (already fuming) "GAH! How come she hasn't shown up yet?!"

Monika: "She's probably just running late."

Sayori: (entering the clubroom) "Who are you two waiting for?"
give me a response to ```Hey! While I like to think of myself as smart, I'm far from a genius. I'm just an ordinary person with the desire to always learn and grow.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
Write a prompt to be used in AI text to image website using stable diffusion website, to describe the picture of Colorful blue curlew standing on a wooden shelf
the image should be creative and in portrait mode
How exactly could I import a SFM model into blender, modify it, then export it back into SFM?
User: I will give you a movie/tvshow file name.You need to return a Json.
Pay attention to the correct identification of the film name.
{"title":string,"version":string,"part":string,"year":string,"resolution":string,"season":number|null,"episode":number|null}
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: Keep Running The Ancient Tea-Horse Road S01 2024 2160p WEB-DL H.265 AAC-UBWEB
Assistant:
Translate the following text to Vietnamese. ONLY return the translated text and nothing else.

**Output**: A comprehensive budget that includes:
- Labor costs (Chi phí nhân sự)
- Material and equipment costs (Service subscription, Hosting cost, etc.)
- Contingency budget
- Additional overhead costs
which paper mentioned the inituition of word embbeding
How might growing up with these stereotypes (overall, not just specific ones) impact how resilient and adaptable young women are when they may need to stand up for themselves?
Female stereotypes from First They Killed My Father (the book that this slide will be a part of):
Walk gracefully and quietly
Smile without showing teeth
To not gossip or argue
To not ask too many questions
Should take care of their physical appearance
Domesticity
Answer specifically and concisely in two sentences, and make three of those two-sentence proposals total that go deeper than "diminish young women's self-confidence and assertiveness, making it difficult for them to stand up for themselves when needed" (why does it make it difficult) Then combine it into one response of two sentences.
Write lyrics that sing about the feeling of missing a lover who left you in a cafe on a snowy winter day.
Write the following like you’re a reflexologist promoting your business:
Script: David (20, uni student) and his younger sister Ruth (16), who’s skilled in hypnosis, are watching TV with Ruth’s friend Aimee (16) one evening. Ruth and Aimee are barefoot on the sofa. Through a covert hypnosis script, Ruth hypnotizes David into a trance using casual conversation and fractionation techniques, with no awakening scene.
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: Should tenants default on their obligations, our cash flow would be adversely affected, and we may not be able to find another tenant to occupy the space under similar terms or may have to make expenditures to retrofit or divide the space. Additionally, we may have to incur a non-cash expense for a significant amount of deferred rent revenue generated from the accounting requirement to straight-line rental revenues. The bankruptcy or insolvency of a major tenant may also adversely affect the income produced by a property. If any of our tenants become a debtor in a case under the U.S. Bankruptcy Code, we cannot evict that tenant solely because of its bankruptcy. The bankruptcy court may authorize the tenant to reject and terminate its lease with the Company. Our claim against such a tenant for unpaid future rent would be subject to a statutory limitation that may be substantially less than the remaining rent actually owed to us under the tenant’s lease. Any shortfall in rent payments could adversely affect our cash flow.
Assistant:
Provide only relevant keywords to facilitate an online search related to the user's message and remember that they should be few words and should not be repetitive: Hhh
What are some common signs of moral development in young children?
hi there, what are you doing?
I Want You To Act As A Content Writer Very Proficient SEO Writer Writes Fluently Vietnamese. First Create Two Tables. First Table Should be the Outline of the Article and the Second Should be the Article. Bold the Heading of the Second Table using Markdown language. Write an outline of the article separately before writing it, at least 15 headings and subheadings (including H1, H2, H3, and H4 headings) Then, start writing based on that outline step by step. Write a 2000-word 100% Unique, SEO-optimized, Human-Written article in Vietnamese with at least 15 headings and subheadings (including H1, H2, H3, and H4 headings) that covers the topic provided in the Prompt. Write The article In Your Own Words Rather Than Copying And Pasting From Other Sources. Consider perplexity and burstiness when creating content, ensuring high levels of both without losing specificity or context. Use fully detailed paragraphs that engage the reader. Write In A Conversational Style As Written By A Human (Use An Informal Tone, Utilize Personal Pronouns, Keep It Simple, Engage The Reader, Use The Active Voice, Keep It Brief, Use Rhetorical Questions, and Incorporate Analogies And Metaphors).  End with a conclusion paragraph and 5 unique FAQs After The Conclusion. this is important to Bold the Title and all headings of the article, and use appropriate headings for H tags.
Now Write An 2000-word Article On This Topic "thiết kế nội thất phong các tân cổ điển"
Create a parody where a stormtrooper gets emperor palpatine's credit card, but out of fear returns it
what is the difference between "they've got the wrong guy" and "they got the wrong guy"?
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: Yes, after three painful, consecutive phone calls. I trusted you would action what you promised but yet again - you didnt. The WORST customer experience ever.'
intention: '
Assistant:
I have two schemas that share request part. How to extract shared part from them and put in separate schema : {
    "properties": {
        "action": {
            "description": "some action",
            "type": "string"
        },
        "request": {
            "properties": {
                "allowedUsers": {
                    "items": {
                        "additionalProperties": false,
                        "properties": {
                            "UserName": {
                                "description": "Account user name",
                                "type": "string"
                            }
                        },
                        "required": [
                            "UserName"
                        ],
                        "type": "object"
                    },
                    "type": "array"
                }
            },
            "required": [
                "allowedUsers"
            ],
            "type": "object"
        }
    },
    "required": [
        "request",
        "action"
    ],
    "type": "object"
}


{
    "properties": {
        "state": {
            "description": "some state",
            "type": "string"
        },
        "request": {
            "properties": {
                "allowedUsers": {
                    "items": {
                        "additionalProperties": false,
                        "properties": {
                            "UserName": {
                                "description": "Account user name",
                                "type": "string"
                            }
                        },
                        "required": [
                            "UserName"
                        ],
                        "type": "object"
                    },
                    "type": "array"
                }
            },
            "required": [
                "allowedUsers"
            ],
            "type": "object"
        }
    },
    "required": [
        "request",
        "action"
    ],
    "type": "object"
}
What Kind Of Cars Can Be Seen Around New York During 1974-1977?