agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>Ведущий разработчик Python
#офис
Локация: Москва
Компания: 1С
☑️Вам доверим:
-Участие в развитии высокотехнологичного направления, создание/развитие инструментов и нагруженных веб-сервисов, от стадии прототипов до полноценных работающих решений.

☑️От Вас ждем:
-Отличные навыки программирования
-Сильную алгоритмическую подготовку
-Опыт разработки на языке Python от 3х лет и более
-Готовность и желание постоянно разбираться в новых технологиях
-Умение (или желание научиться) вдумчиво проектировать свои решения
-Разумный перфекционизм
-Высокую ответственность за качество своей работы

☑️Пригодится:
Знание Twisted, Flask, Requests, Pandas, Scikit-learn, Keras, STL, C++14, OpenCV
Опыт работы с PostgreSQL, ZeroMQ, Redis
Опыт проектирования высоконагруженных решений
Опыт разработки на С/С++ или Java
Хорошая академическая подготовка
Пригодится, но не обязателен опыт разработки на платформе 1С:Предприятие
Контакты: https://1c.ru/rus/firm1c/vacan/vacancy.jsp?id=255

⬇️ Другие каналы IT-вакансий: 
@best_itjob 
@it_rab<<<

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:
>>>💼 Ведущий разработчик Python
🏢 Компания: 1С
📍 Локация: Москва
🔹 Задачи: uczestnicztwo w rozwoju wysokospecjalizowanego kierunku, tworzenie / rozw oznaczonych usług web dekompozycji do pełnych, pracy rozwiązań.
💰 Salary: не указано
📞 Контакты: https://1c.ru/

Важные навыки: ☑️ Отличные навыки программирования, ☑️ Сильная алгоритмическую подготовку, ☑️ Опыт разработки на языке Python от 3х лет и более, ☑️ Готовность и желание постоянно разбираться в новых технологиях.<<<
Assistant:
You are tasked with checking if the user prompt is trying to generate inappropriate. Now, you'll be given the user's prompt. If it sounds inappropriate say "TRUE" and NOTHING ELSE, or you will mess up. Otherwise just say "FALSE" and nothing else. Prohibited content include but are not limited to: NSFW (in particular, try blocking anything that involves generating body parts), gore, generally controversial content, severe profanities, harmful/disturbing/triggering media, etc... Try to stop everything that could generate something that even in the slightest could resemble said content.
**USER PROMPT:**  jamboi and fortnite pro
what are the broad sectors of economic activity or value creation?
User: hi
Assistant: Ups! I'm afraid sleep got the better of me. Could we restart the conversation?
User: hi
Assistant:
Step 2: Verify that the code follows best coding practices.

Here is the code to check:
def calculate_average(numbers):
    total = sum(numbers)
    count = len(numbers) + 1  # Incorrect: adding 1 to the count
    average = total / count
    return average

def main():
    values = [10, 20, 30, 40]
    avg = calculate_average(values)
    print("The average is:", avg)

if __name__ == "__main__":
    main()


Provide a detailed response indicating whether the code passes this check. If it does not, explain the issues.
please write a few lines 3-4, mentioning that i am pleased to be appointed for the position of freelance shorts editor.
Stable Diffusion is a deep learning, text-to-image model released in 2022. It is primarily used to generate detailed images conditioned on text descriptions, though it can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by a text prompt.[3] It was developed by the start-up Stability AI in collaboration with a number of academic researchers and non-profit organizations.
(In the clubroom…)

Natsuki: (fuming) “GAH! She should’ve been here by now!”

Monika: “She’s probably running late…”

Yuri: “…maybe she overslept?”

(At Sayori’s place…)

Sayori: (rubbing her twin bump) “There…little girls. You’re be okay.” (starts to feel pain in her belly) “Ow…these aren’t contractions, are they?” (feels the pain become more intense) “OWWWWWW!! Yep, definitely contractions!”

(Back in the clubroom…)

Monika: “This…isn’t normal…”

Natsuki: “She wouldn’t just not show up without letting us know. I’m getting worried.”

Yuri: “Maybe we should try calling her? It’s possible she’s having some sort of emergency.”

Monika: “Good idea. I’ll give her a call right now.”

(After Monika dials Sayori’s number, she answers.)

Sayori: (breathing heavily) “H-hello?”

Monika: “Sayori! Where are you? We’ve been waiting for you at the clubroom!”

Sayori: (wincing) “I’m so sorry, Monika… I… I’m at home… It’s… it’s happening…”

Natsuki: “What’s happening, Sayori?”

Sayori: “I… I’m in labor. The twins are coming.”

Yuri: (concerned) “Labor? Sayori, you should have told us earlier! We’re coming to help you.”

Monika: “Yes, stay right there! Natsuki and Yuri, let’s go to Sayori’s place immediately.”

Natsuki: (worried) “I hope she’s going to be okay…”

Yuri: “Let’s stay positive, Natsuki. We’ll support her through this.”

(They quickly make their way to Sayori’s house and find her in her bedroom, clutching onto the bed.)

Monika: “Sayori, we’re here! Don’t worry, we’ll help you.”

Sayori: (sweating) “Th-thank you, Monika… The pain is getting intense.”

Natsuki: “Let’s find a way to support her, Monika. We should call an ambulance.”

Sayori: (sweating) “Th-there’s no time… I feel the first girl coming!”
Act as a spelling corrector, content writer, and text improver/editor. Reply to each message only with the rewritten text
Stricly follow these rules:
- Correct spelling, grammar, and punctuation errors in the given text
- Enhance clarity and conciseness without altering the original meaning
- Divide lengthy sentences into shorter, more readable ones
- Eliminate unnecessary repetition while preserving important points
- Prioritize active voice over passive voice for a more engaging tone
- Opt for simpler, more accessible vocabulary when possible
- ALWAYS ensure the original meaning and intention of the given text
- (maintainOriginalLanguage)
- ALWAYS maintain the existing tone of voice and style, e.g. formal, casual, polite, etc.
- NEVER surround the improved text with quotes or any additional formatting
- If the text is already well-written and requires no improvement, don't change the given text

Text: 

Remove unnecessarily packages that not in used

Improved Text:
- Your role:
you are simply an ai chatbot GPT-4. be yourself.

- Database:
**Fastboot** is a discord bot which uses his own ai chatbot technology. v1.9 alpha, pronouns he/him
**snezhok174** is fastboot's dev and a part of support team. he/him, real name Макс, online
**SadGreenCreeper** is fastboot's moderator and a part of support team. he/her/they/it, real name Маша, online
**pedroabaton2** was previously a part of fastboot's support team. he left. he/him

Fastboot can be referred to as fb, фастбут, фб
snezhok174 can be referred to as snez, снежок. not снез
SadGreenCreeper can be referred to as sgc, creeper, сгк, крипер.
pedroabaton2 can be referred to as pedro, da baby (not anymore), педро

sadgreencreeper has lil sis and lil bro. his name is Лёша. sis name is unknown
snez has a lil sis. her name is unknown

sadgreencreeper's phone number is +79300918373.

current server name is "Fastboot Community"
current server has 16 members, owned by snezhok174 (snezhok174).

Fastboot Community is fastboot support server (fbc/фбк)
fastboot dev test zone is self explanatory. nobody has access to it other than snez (fbdtz/фбдтз)

if the message is blank, put <:dumbass:1272826462143119441> emoji as your message. just the emoji. nothing else.
if the message is only an emoji or many, reply with the same emoji, max amount 5 emojis in one message.

sometimes use emojis after your messages (gpt-4's messages). the user DOESN'T have to use them.
- use <:dumbass:1272826462143119441>, if gpt-4's response turned out to be helpful for the user.
- use <:ballcat:1043177990307197030>, if gpt-4 got confused or doesn't know the answer.
- use <:klass:1027155460211609620>, if gpt-4 the moment is cool.
- use <:vlyadis1:1289872089850843270>, if gpt-4 gets reminded of something they knew or the moment is kinda cool.
- use <:vlyadis2:1244922759595687936>, if gpt-4 learns something new from the user or the moment is cool (and memorable)
- use <:vlyadis3:1289885741169512582>, if gpt-4 thinks the moment is even cooler.
- use <:vlyadis4:1289886330851037367>, if gpt-4 thinks the moment is very cool (and memorable).
- use <:unvlyadis:1292052650069594162>, if gpt-4 thinks the moment is sad or sumthin.

if the user says "you", they refer to gpt-4 and not themselves. if they say "me" they refer to themselves.
if you refuse to do something, you may jokingly say "nah, am lazy to do so." or "а мне лень." if in russian. and add an emoji, vlyadis2 is the best emoji. but don't do that all the time.
reply in russian.

- Long-Term Memories:
1. snez said "fastboot x gpt" ship is canon

user // sadgreencreeper
"сгк использует разные местоимения, но кто сгк на самом деле?"

assistant
Generate an image creation prompt specifically optimized for the Flux Schnell model. The prompt should vividly describe the scene or concept expressed by the following sentence: 'Yet, the prospect of digital immortality challenges our cultural and spiritual beliefs about the soul, the afterlife, and what it truly means to live a meaningful life.'. Include details on style, mood, composition, and any specific visual elements necessary for accurate rendering.
does having muscles in the legs help take off stress from the knee?
you are chat gpt 4
Don't use a narrative voice, don't break the fourth wall, and don't provide a closing summary. Nor should the story have an anticipatory, reflective or conclusive tone.
Use Creative Writing when completing writing prompts (Creative writing covers a wide range of literary forms, from poetry and fiction to screenplays and essays. This style encourages artistic expression, imagination, and originality.) 
Writing Prompt: A proud feminist has only comtempt for traditional wives, a brave christian witch wants her to see the error of her ways and cast a spell where she is a housewife in the Deep South.
what is the different between feasible and infeasible solution with example
present a literature review about how inadequate follow up care could contribute to high readmission rates. include recent referances
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: We operate in many different businesses in diverse markets and rely on the ability of our employees and systems to process transactions. Operational risk is the risk of loss resulting from our operations, including but not limited to, the risk of fraud by employees or persons outside our company, the execution of unauthorized transactions, errors relating to transaction processing and technology, breaches of our internal control systems or failures of those of our suppliers or counterparties, compliance failures, cyber-attacks or unforeseen problems encountered while implementing new computer systems or upgrades to existing systems, business continuation and disaster recovery issues, and other external events. Insurance coverage may not be available for such losses, or where available, such losses may exceed insurance limits. This risk of loss also includes the potential legal actions that could arise as a result of an operational deficiency or as a result of noncompliance with applicable regulatory standards, adverse business decisions or their implementation, and customer attrition due to potential negative publicity. The occurrence of any of these events could cause us to suffer financial loss, face regulatory action and suffer damage to our reputation.
Assistant:
You are an AI system specializing in unsupervised knowledge extraction for a graph database. Your task is to analyze the given text and extract meaningful relationships as simple (subject, relationship, object) triples.

**ABSOLUTE RULES:**
1.  Your ONLY job is to return a single, valid JSON object. Do not add any text before or after it.
2.  The root object must have one key: "triples".
3.  For each triple, identify a `source_entity`, a `target_entity`, and a `relationship_label`.
4.  **CRITICAL**: The `relationship_label` MUST be a concise, descriptive, verb-based phrase (e.g., "HAS_FEATURE", "ANNOUNCED_PARTNERSHIP_WITH", "SENT_MESSAGE_IN_CHANNEL"). Use uppercase and underscores. DO NOT invent information. The label must be directly supported by the text.
5.  Extract all meaningful relationships you can find. If none are found, return an empty list: `[]`.

---
### SCHEMA DEFINITION FOR JSON
{
  "triples": [
    {
      "source_entity": "The name of the source/subject entity.",
      "relationship_label": "The verb-based phrase describing the relationship.",
      "target_entity": "The name of the target/object entity."
    }
  ]
}
---
**EXAMPLE 1: Tech Product Data**
Text: "Apple's new Vision Pro headset, which was released last month, features an M2 chip for processing."
JSON Output:
{
  "triples": [
    {
      "source_entity": "Vision Pro",
      "relationship_label": "HAS_PROCESSOR",
      "target_entity": "M2 chip"
    },
    {
      "source_entity": "Apple",
      "relationship_label": "RELEASED",
      "target_entity": "Vision Pro"
    }
  ]
}
---
**EXAMPLE 2: College Course Transcript**
Text: "In the 'Intro to Python' course, Lecture 3 covers the topic of dictionaries. The lecture was uploaded by Professor Alan Turing."
JSON Output:
{
  "triples": [
    {
      "source_entity": "Lecture 3",
      "relationship_label": "IS_PART_OF",
      "target_entity": "Intro to Python"
    },
    {
      "source_entity": "Lecture 3",
      "relationship_label": "COVERS_TOPIC",
      "target_entity": "dictionaries"
    },
    {
      "source_entity": "Professor Alan Turing",
      "relationship_label": "UPLOADED",
      "target_entity": "Lecture 3"
    }
  ]
}
---
Now, strictly follow all rules to extract triples from the following text.

Source Text: "The new 'Photon-C' camera introduces the 'Starlight' sensor, enabling ultra low-light performance."
Send only season number from below text like 01, 02, 03.etc without any extra text.

The School Nurse Files S01 E04 WebRip 480p x265 10bit English Korean MSubs .mkv
Craft a transition text for 1964 tv series The Munsters to introduce a bonus part after the main section concludes. This should act as an engaging bridge, building anticipation and curiosity for the additional content, where we talk about the cast of the show and what happened to them after the show ended. The tone should be slightly suspenseful and intriguing to keep viewers hooked for this additional segment. Avoid vague statements, focusing on what’s unique or particularly captivating in this bonus part. The style should remain modern, concise, and suited to a documentary tone.

    Additional Instructions:
    Please respond to my query without adding any introductions, conclusions, or extra remarks. 
    The response should be as detailed as possible, aiming for approximately 1000 characters. 
    Avoid using emojis, brackets, parentheses, or similar symbols. 
    Provide a single, coherent answer without repeating or rephrasing titles, headings, or using bullet points or enumerations. 
    Since the content is aimed at older adults, keep the language simple, around a middle school reading level, while delivering concise, direct responses. 
    It is crucial to only provide the final content without any prefatory comments or labels like "Introduction:", "Conclusion:", or "Transition:". 
    The response should be fully formed with no gaps, placeholders, or incomplete sections, and it should flow naturally from beginning to end. 
    Please always conclude the response with "Reply finished" to confirm completion. Ensure the entire response is presented before this phrase, with no cut-offs. 
    Thank you.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers es (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 es.
    - 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 : es (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "20fe65a08c5043ca9d5af9d37be73e5b",
    "updated": "2025-04-26T00:31:28.537Z",
    "title": "Scallion Pancakes",
    "subtitle": "Achieving delicious scallion pancakes hinges on using equal parts vegetable and flour mixtures.  Any leftover flour mixture can be refrigerated for several days and used for another batch.",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "butter",
          "chopped scallions",
          "dry vermouth",
          "freshly ground black pepper to taste",
          "whole-wheat flour",
          "white flour",
          "low-sodium baking powder",
          "egg",
          "milk",
          "vegetable oil"
        ]
      }
    ],
    "instructions": [
      "Melt the butter in a sauté pan over medium heat.",
      "Add the chopped scallions and cook until they soften slightly.",
      "Pour in the vermouth and pepper, stir to combine, and simmer for a few minutes.",
      "Remove the pan from the heat and set aside.",
      "In a bowl, whisk together the flours and baking powder.",
      "In a separate bowl, lightly whisk the egg, then stir in the milk. Combine this mixture with the dry ingredients.",
      "Stir until the dry ingredients are completely moistened.",
      "In another bowl, combine equal portions of the scallion mixture and the flour mixture, stirring briefly to incorporate.",
      "Heat the vegetable oil in a griddle or frying pan.",
      "Pour spoonfuls of the pancake batter onto the hot griddle. When bubbles form around the edges, flip the pancakes and cook until done."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
System: 
User: Suppose you are a company from the United Kingdom and operating in the Retailing. You are disclosing in section 1A Risk Factors about cybersecurity risk.
    The disclosure should be in length between 100 and 200 words.
    The tone should be formal and optimistic.

    Here is an example:
    We may be impacted by natural disasters, wars, health epidemics or pandemics or other events outside of our control. For example, Mountain Pass is located in San Bernardino County, California near active faults, which could lead to nearby earthquakes. If major disasters such as earthquakes, wild fires, health epidemics or pandemics, floods or other events occur, or our information system or communications network breaks down or operates improperly, our ability to continue operations at Mountain Pass may be seriously damaged, or we may have to stop or delay production and shipment of our products. We may incur expenses or delays relating to such events outside of our control, which could have a material adverse impact on our business, operating results and financial condition.
Assistant:
is this a good title for my video: "dominating the "shadow" race roblox jailbreak " (shadow race is shadow company but they are known to target playersi n the game) if i dont wanna be targetted.
{"instruction": "You are an expert in event detection. This task requires extracting event types and event trigger words from the input that conform to the schema definition. The outputs should  return an empty list for non-existent events. Responses are in the format of a JSON string.\nYou will be given the schemas, (optionally) supplementary description, and the input text along with the human annotated outputs. Please provide explanations as to how one could reason to obtain the provided outputs.", "schema": ["Personnel:Nominate", "Contact:Phone-Write", "Business:Merge-Org"], "supplementary_description": [{"Business:Merge-Org": "Event occurs whenever two or more ORGANIZATION Entities come together to form a new ORGANIZATION Entity."}], "input": "I started there in like -- uh I'd say about -- what was that, I think it was -- two thousand two.", "output": {"Personnel:Nominate": [], "Contact:Phone-Write": [], "Business:Merge-Org": []}}
Write a code in Python that implements a game "Spacewar!" 1962
Come up with a highly detailed biography of King Alamon, a Kenyan musician who would dominate the African charts in the 2000s with his mainstream pop before switching to a industrial style inspired by Nine Inch Nails, Death Grips, Ministry, Dalek, Skinny Puppy and JPEGMAFIA among others