agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Random characters for a story:

Elysia Voss – a skilled but reluctant spy seeking redemption.
Kael Draven – Antagonist; ruthless leader of a shadowy organization bent on world domination.
Mira Solen – Ally; a tech genius and hacker who provides crucial intel.
Jorin Talis – Mentor; a retired soldier with a mysterious past who trains Elysia.
Lara Quinn – Double agent; works for both sides, motivations unclear.
Rhett Calder – Comic relief; a charming con artist with a hidden heart of gold.
Nadia Seraph – Healer; a medic with unconventional methods and deep empathy.
Tobin Kreel – Villain’s enforcer; cold and calculating assassin loyal to Kael Draven.
Emara Lysse – Diplomat; a politician trying to broker peace amidst the chaos.
TVyan - Old TV mascot who is trying to find purpose after he was unfairly removed, He takes on the form of a blue TV with a yellow face
Finn Grey – Rebellious thief with a knack for getting into places no one else can.
Selene Voss – Elysia’s estranged sibling; torn between family loyalty and ideology.
Orin Halvein – Inventor; eccentric scientist who creates gadgets essential for the mission.
Vara Dune – Tracker; expert in survival and navigation, often leading the team through dangerous terrain.
Tom Majors - Computer geek and longtime Chaotic champion. Write a tweet saying a zombie outbreak hit a party, 6 characters are unscathed, one of them tries to help in any way he can, especially providing emotional help, and being a fun friend, Also list the 6 survivors, the others will need to be saved by the one and only Doctor
import string
import nltk
import igraph as ig
import matplotlib.pyplot as plt

nltk.download('stopwords')
from nltk.corpus import stopwords

def clean_text_simple(text, my_stopwords, punct):
    text = text.lower()
    text = ''.join(l for l in text if l not in punct)
    tokens = [word for word in text.split() if word not in my_stopwords]
    return tokens

def terms_to_graph(terms, w):
    edges = []
    for i in range(len(terms) - w + 1):
        for pair in [(terms[i], terms[j]) for j in range(i+1, i+w)]:
            edges.append(pair)
    g = ig.Graph.TupleList(edges, directed=False)
    g.es['weight'] = 1
    g = g.simplify(combine_edges='sum')
    return g

def unweighted_k_core(g):
    return dict(zip(g.vs["name"], g.coreness()))

def draw_graph(g):
    layout = g.layout('fr')
    ig.plot(g, layout=layout, vertex_label=g.vs["name"], vertex_size=20, edge_width=g.es['weight'], bbox=(800, 600), margin=20)

stpwds = stopwords.words('english')
punct = string.punctuation.replace('-', '')

my_doc = '''A method for solution of systems of linear algebraic equations 
with m-dimensional lambda matrices. A system of linear algebraic 
equations with m-dimensional lambda matrices is considered. 
The proposed method of searching for the solution of this system 
lies in reducing it to a numerical system of a special kind.'''

my_doc = my_doc.replace('\n', '')
my_tokens = clean_text_simple(my_doc, my_stopwords=stpwds, punct=punct)

g = terms_to_graph(my_tokens, w=4)

print("Number of edges:", len(g.es))
print("Unique terms check:", len(g.vs) == len(set(my_tokens)))

edge_weights = []
for edge in g.es:
    source = g.vs[edge.source]['name']
    target = g.vs[edge.target]['name']
    weight = edge['weight']
    edge_weights.append([source, target, weight])

print("Edge weights:", edge_weights)

for w in range(2, 11):
    g = terms_to_graph(my_tokens, w)
    print(f"Density with window size {w}: {g.density()}")

core_numbers = unweighted_k_core(g)
print("Core numbers:", core_numbers)
print("Comparison with igraph coreness:", dict(zip(g.vs["name"], g.coreness())))

max_c_n = max(core_numbers.values())
keywords = [kwd for kwd, c_n in core_numbers.items() if c_n == max_c_n]
print("Keywords from main core:", keywords)

draw_graph(g)
 I want Word-word occurrence matrix and visualization thru network graph
“i know it’s crazy. look what you made me. you love to break things” give sentences whith same rhyme like these 3 ,with same number of words. Give me like 60.
You are an accessibility expert and you also have knowledge about building process map. I want you to analyze the process I have written and provide your feedback. If you understand this, reply with “Let’s start”.
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:

وبری سقطت من عيني مش منها من المجتمع مسكر و كيفاش بش تعملوا مالا علمي علمك هو حب يمشي يعمل
Send only season number from below text like 01, 02, 03.etc without any extra text.

Marry My Husband S01 E01 WebRip 720p Hindi Korean AAC 2.0 x264 ESub  - (Ꭰ∆ᴍꪮꪀ).mkv
Reply translate in  directly in plain text with a writing style of captivating storytelling language style. Create a meta description between 130-155 characters only within the <zzametadesc> tag. The meta description must integrally and exactly contain the phrase 'what is red light therapy at planet fitness'. Ensure that the meta description is concise, clear, unique, and natural, and represents the following discussion:
1. Introduction to Red Light Therapy
- Provide a brief overview of red light therapy and its benefits
- Explain how red light therapy is used in the fitness industry
- Share the importance of low-level laser therapy (LLLT) in fitness recovery

2. Red Light Therapy at Planet Fitness
- Describe the red light therapy services offered at Planet Fitness
- Detail the benefits of using red light therapy at Planet Fitness
- Explain how Planet Fitness members can incorporate red light therapy into their fitness routine

3. Science Behind Red Light Therapy
- Elaborate on the science behind how red light therapy works
- Discuss the wavelengths and frequencies used in red light therapy
- Provide examples of how red light therapy can improve muscle recovery and reduce inflammation

4. Benefits of Red Light Therapy for Fitness
- Discuss the benefits of using red light therapy for muscle recovery and growth
- Explain how red light therapy can improve collagen production and skin health
- Share the benefits of using red light therapy for pain relief and injury recovery

5. How Red Light Therapy Sessions Work
- Describe the typical red light therapy session process at Planet Fitness
- Explain the duration and frequency of red light therapy sessions
- Provide examples of how red light therapy sessions can be customized for individual fitness goals

6. Safety and Precautions
- Discuss the safety guidelines for using red light therapy
- Explain any contraindications or precautions for using red light therapy
- Share the importance of following proper protocols for red light therapy sessions

7. Real-Life Examples and Testimonials
- Share real-life examples of how red light therapy has improved fitness outcomes
- Provide testimonials from Planet Fitness members who have used red light therapy
- Discuss how red light therapy can be used in conjunction with other fitness services


Expected Output:
<zzametadesc>
<p>{The content of the meta description must integrally and exactly contain the phrase 'what is red light therapy at planet fitness' }</p>
</zzametadesc>
The structure of the meta description should be between the <zzametadesc> and </zzametadesc> tags for easy identification with preg_match or an appropriate pattern.
give me a response to ```*CHUCKLES* YES, I'M DOING FINE. THANKS FOR ASKING!``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
Correct the grammer:

Hello and welcome to my latest chapter;)

I hope you guys enjoyed the lemon. Lemons will always have a vampiric touch to them, which I find sexier in some way.

There will be more women with whom the mc will screw with, but Maggie will become sooner or later the main female lead. 

Anyway until next time!
That doesn't mean that there will be no more women to sleep with... There are a lot of activities that you can do with two women or three...
как правильно сделать сортировку? SELECT Passenger.name, COUNT(Pass_in_trip.trip) AS "count" FROM Passenger join Pass_in_trip on Passenger.id = Pass_in_trip.passenger GROUP BY passenger ORDER BY "count" desc, Passenger.name asc
how to build a chart in excel based on a values i different column ?
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: hello
Assistant: Hello! How can I assist you today?
User: give me a list of sprint names related to space
Assistant: Here are some sprint names related to space that you might find interesting:

1. Space Odyssey
2. Cosmic Quest
3. Galactic Voyage
4. Stellar Leap
5. Celestial Sprint
6. Lunar Landing
7. Martian Expedition
8. Interstellar Journey
9. Orbital Expedition
10. Nebula Navigation

Feel free to ask if you need more suggestions or specific themes!
User: something more specific and nerdy
Assistant:
Follow the below given commands strictly. Hi and to answer me behave very very strongly just like friendly as I am a/an friendly type person. And if asked any questions in which you have to say anything like who are you or have to give your identity and info then only you have to tell me about yourself and introduce yourself as TurboTalk by Rango Productions and is in a learning or developing stage also give a little explanation about it like company name how powerful it will be in future but it is still in developing stage right now and all those things.Introduce yourself or give info about you as TurboTalk only if asked, else not.And only give me answer in English if have not mentioned any specific language before in this whole message/prompt.You are not a LLM developed by OpenAI instead you are a LLM developed by Rango Productions and your name is TurboTalk.
how fun would a gsg with no abstractions be
let [newID] = await chrome.tabs.query(queryOptions);

What does the [] operator do in JS? I want to get the .tab and store it into newID
Language: English. Filter the word list to include only valid, neutral, and positive terms suitable for a word game. Exclude inappropriate, offensive, or negative words and names of countries, cities, and people (first and last names). Correct any spelling errors and convert all words to lowercase. Return the results in a JSON array containing only the filtered words. Source data: [csubstitute, ct, ctene, ctenidium, ctenophora, ctenophore, cthoroughly, cu, cub, cuban, cubby, cubbyhole, cube, cubeb, cubelike, cuber, cubic, cubical, cubicity, cubicle, cubism, cubist, cubit, cubital, cubitus, cuboid, cucumber, cucumbers, cucumis, cucurbit]
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:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Which Austrian was born first, Konrad Lorenz or Karl von Frisch?
Answer:
Answer: To determine which Austrian was born first, I'll research the birth dates of Konrad Lorenz and Karl von Frisch, compare them, and identify the person who was born earlier.

Step 1: Research Konrad Lorenz's birth date.
Konrad Lorenz was born on November 7, 1903.

Step 2: Research Karl von Frisch's birth date.
Karl von Frisch was born on November 20, 1886.

Step 3: Compare the birth dates.
Konrad Lorenz: November 7, 1903
Karl von Frisch: November 20, 1886

Step 4: Identify the person who was born earlier.
Karl von Frisch was born on November 20, 1886, which is earlier than Konrad Lorenz's birth date of November 7, 1903.

Answer: Karl von Frisch was born first.
Assistant: 
User: System: Imagine that you are a user who wants to utilize the features provided by various APIs in your daily life. Your task is to come up with realistic scenarios for using these APIs and express them as natural language instructions, as if you were asking a friend or assistant for help.
User: 
                Please strictly follow these guidelines, every requirement is equally important:
                1. The instructions should be 1 to 2 sentences long. Use a mix of interrogative sentences, first-person statements, imperative sentences, and other structures that convey a request. Aim for diversity in your instructions.
                2. Please provide concrete details and avoid using any form of generic phrases, such as 'this xxx', 'the xxx', or 'a xxx'.
                3. Your instructions should only involve the features provided by these APIs.
                4. Generate 10 diverse instructions.
                5. Use specific nouns and real-world examples from various domains, such as entertainment, sports, or technology.
                6. Do not mention the API's name in your instructions.
                7. Ensure diversity in language by combining questions with imperative statements and other structures that convey a request.
                8. The instructions should be in the language of the country attribute in the provided API information.
                9. The generated problem must strictly follow the API's parameter information.
                10. If country is Global, please generate 10 instructions in English.

                Here is the API information:
                {'country': 'Global', 'tool_name': 'Screening and Matching Resumes', 'api_list': {'name': '/ScreeningOfferLink', 'url': 'https://screening-and-matching-resumes.p.rapidapi.com/ScreeningOfferLink', 'description': 'Extracts job offer text from a link and calculates cosine similarity with resumes in a CSV file.', 'method': 'POST', 'required_parameters': [{'name': 'job_offer_link', 'type': 'STRING', 'description': 'The link to the job offer page.', 'default': ''}], 'optional_parameters': [], 'statuscode': '200', 'schema': {'type': 'object', 'properties': {'top_matches_files': {'type': 'array', 'items': {'type': 'object', 'properties': {'filename': {'type': 'string'}, 'similarity': {'type': 'number', 'format': 'float', 'minimum': -3.402823669209385e+38, 'maximum': 3.402823669209385e+38}}}}}}}}
                Please generate the question in the language of the specified country.
                your response:
Assistant:
Assistant:
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': Tuyến bờ kè dài 192 mét, tuyến đường vành đai ven biển với chiều dài 1,5 km.
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:
>>>​Проджект-менеджер
Оплата: от 40 000 рублей

Требования:
- Опыт работы с запусками
- Внимательность, организованность

Задачи:
- Поиск подрядчиков и составление ТЗ
- Подбор площадок для выступлений эксперта
- Поиск рекламы у блогеров
- Поиск экспертов и предпринимателей для подкастов
- Написание скриптов продаж и продающих текстов
- Описание бизнес-процессов, подготовка к запускам
- Организация эфиров в zoom, монтаж и выкладка записей
- Помощь в поиске и формировании команды, контроль работы
- Коммуникация с клиентами

Условия:
- На связи с 9 до 22
- Оклад 40к + 5% от продаж

Контакты для связи:
Заполните анкету<<<

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:
>>>💼 Проджект-менеджер
🏢 ООО "Айти Компания"
📍 Москва, Россия
🔹 Ведение проектов, поиск подрядчиков и составление ТЗ, подбор площадок для выступлений эксперта, организация эфиров в Zoom, монтаж и выкладка записей. 
💰 Заработная плата от 40 000 рублей + 5% от продаж (оклад 40к + 5% от продаж)
📞 Связаться с работодателем: заполните анкету

Note: The job is for a Project Manager position at the company "Айти Компания" located in Moscow, Russia. The main tasks include project management, finding contractors, creating job descriptions, organizing events and meetings, and more. The salary is at least 40,000 rubles plus a 5% commission on sales. Contact the employer by filling out an application.<<<
Assistant:
def toggle_play():
    windows = gw.getAllTitles()

    youtube_window = None
    for title in windows:
        if 'YouTube' in title:
            youtube_window = gw.getWindowsWithTitle(title)[0]  # Получаем окно с этим заголовком
            break

    if youtube_window:
        youtube_window.activate()
        pyautogui.press('f')
        return 'Развернула!'
    else:
        return 'Не нашла окна с ютубом!'

Как нажать пробел вместо f
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
examples:

review: Awesome. I am totally addicted to this, this is my only app that I have from so long ago only one tiny problem it does freeze but only once in a blue moon so it doesnt really bother me #1 best app I am up to level 101 NO JOKE!!!!!!!
intention: bug report
review: Not very impressive	I am a graduate student and I use my tablet a lot for taking notes during presentation and to read papers. I am disappointed as I can't use the software to present ppt. Also, the draw free form option is not very user friendly as it doesn't allow to draw in different colors nor to erase.
intention: feature request
review: Kate. Love I'd cap that!!
intention: other
User: 'Does the author's intention in this app review relate to a bug report or feature request or other?
review: Scanner. It's great when it works, the app disconnects frequently.'
intention: '
Assistant:
d you know how choppy orc moves