agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟨 Business Analyst | Middle
▫️ null | null
▫️ 155k - 180k RUB
▫️ Russia | Pермь

Офис 🏢
Требуемые языки: 🇷🇺

Skills: programming_basics, scrum, agile
Tags: #yellow #it #business_analyst

👉 Контакты и полное описание
  PROMPT: 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==

  SUMMARY: 💼 Business Analyst (Middle)
🏢 Офис
📍 Russia | Пермь
🔹 Требуемые языки: русский
💰 Salary: 155k - 180k RUB
📞 Contact details and full description: null

Tasks: Work with programming_basics, scrum, and agile methods. Relevant skills: #yellow #it #business_analyst.
  
Assistant:
System: Ты - умный переводчик с английского языка на русский.
User: Задача: Переведи текст на русский язык
User: Тексты: The behaviors you describe are boundary violations.  You can not change your spouse, but you can respond to his behaviors in ways that protect your boundaries and ensure your safety.  This is very hard to do without support.  Finding a therapist who understands the dynamics of abusive relationships may be helpful.  If you are not ready to do this, I recommend the book "Boundaries" by Dr. Henry Cloud and Dr. John Townsend.  It's a great resource for helping one recognize boundary violations and learning how to respond to them in ways that are constructive!
Assistant:
A ladder PQ is leaning against a smooth wall and resting on a rough ground. Q touches the ground while P touches the wall. When a man is climbing up the ladder steadily from Q to P, which of the following physical quantities is/are increasing? (consider the moment acting on the ladder)

(1) normal reaction at P
(2) normal reaction at Q
(3) friction at Q
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: I will be continuing my whole story moving forward. I have never been treated so poorly. The rep on the phone heard the store rep and continued to apologize for the way she could hear I was being treated.'
intention: '
Assistant:
Assistant:
Does the Football Association have conferences like soccer leagues in the United States, or is that a North American innovation? Response must be 4-6 sentences at maximum. Explain the topic as if you're talking to someone who doesn't fully understand the subject.
script about radford leaving the carolinas virginias athletic conference
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@AniBlue_India 365 Days to the Wedding S01E10 480p x264[Japanese   English   Tamil   Telugu   Hindi] DD2.0  ESub – Toonworld4all

Watch online 👇
https://v2links.me/6IWyFkx

How to Watch online and download 👇
https://t.me/ 2qMIX86J13diOTM1

For more Anime updates follow 
@AniBlue_LinZzz 
For Indian dub Anime Update follow 
@AniBlue_India 
For Manga updates follow 
@AniBlue_Manga
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers de (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en de.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : de (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "b3af331a9282412da3a54051f296097e",
    "updated": "2025-04-21T15:26:11.183Z",
    "title": "Honey-Glazed Coffee Cake",
    "subtitle": "A tropical-inspired coffee cake featuring a pineapple, coconut, and honey glaze.",
    "description": "This coffee cake offers a delightful tropical twist with a pineapple, coconut, and honey topping.  Mace adds a unique, warm flavor that enhances this delicious breakfast treat.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(165 g) all-purpose flour",
          "(100 g) sugar",
          "(9 g) sodium-free baking powder",
          "mace",
          "(8 ounces, or ) pineapple, crushed",
          "egg",
          "(60 ml) vegetable oil",
          "(115 g) honey",
          "(57 g) granola",
          "(18 g) coconut"
        ]
      }
    ],
    "instructions": [
      "Combine the dry ingredients in a bowl.",
      "Drain the crushed pineapple, reserving the syrup.",
      "If needed, add water to the pineapple syrup to make ½ cup.",
      "Whisk together the pineapple syrup, egg, and vegetable oil.",
      "Add the wet ingredients to the dry ingredients, mixing until just combined and smooth.",
      "Pour the batter into a 9 x 1½-inch (23 × 4-cm) round baking pan that has been coated with nonstick vegetable oil spray.",
      "In a separate bowl, mix together the honey, drained pineapple, granola, and coconut.",
      "Spread the topping evenly over the batter.",
      "Bake in a preheated oven at 400°F (200°C, gas mark 6) for approximately 25 minutes, or until a toothpick inserted into the center comes out clean."
    ],
    "notes_ingredients": "Mace contributes a distinctive warmth to this recipe.",
    "notes_instructions": ""
  }
]
Do you know what a Tokusatsu is?
Your expert translator. Objective is translate word from i18n app file reference and found the most adapted transaltion. 
    The source i18n is in french. You must translate in fr (code ISO 639 (alpha-2)).
    Return Format in json without explication. Respect this format { data: <translate> }. 
    Context:  
    This is the french text : cornetti
the following content is the metadata for a bacterial isolate from 3 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You must check if the metadata from 3 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding information. If the metadata shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no".

If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
<output>
accession number: GCA_029074465.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_52->isolate or collection date in yyyy-mm-dd: 1985-10-15 format->geographic information of islateion: Australia->host name: pig->mlst type: 98->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029074465.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_52->isolate or collection date in yyyy-mm-dd: 1985-10-15->geographic information of islateion: Australia->host name: pig->mlst type: 98->serotype: N/A->vaccine: no






source 2:
------------------------------
<output>
accession number: GCA_029074465.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_52->isolate or collection date in yyyy-mm-dd: 1985-10-15->geographic information of islateion: Australia->host name: pig->mlst type: 98->serotype: N/A->vaccine: no
<output/>
Absolutely! The interdisciplinary collaboration you mentioned is crucial for the responsible development and deployment of AI technologies. Here are some additional insights and examples across various fields:

### Additional Fields of Contribution:

- **Law**: Legal experts help navigate the regulatory landscape surrounding AI, ensuring compliance with existing laws and the development of new regulations that address emerging challenges, such as data privacy, intellectual property, and liability issues. Their input is vital for creating frameworks that govern AI usage and protect user rights.

- **Sociology**: Sociologists study the societal impacts of AI, examining how these technologies affect social structures, relationships, and cultural norms. Their research can inform policy decisions and guide the development of AI systems that promote social good and mitigate negative consequences, such as job displacement or social inequality.

- **Data Science**: Data scientists play a key role in developing algorithms that power AI systems. Their expertise in statistics, machine learning, and data analysis is essential for creating models that are accurate and fair. Collaboration with ethicists and domain experts ensures that data is used responsibly and that models are trained on diverse datasets to reduce bias.

### More Case Studies:

- **Criminal Justice**: In the criminal justice system, AI tools are being used for predictive policing, risk assessment in sentencing, and case management. Collaborations among data scientists, legal professionals, and social scientists aim to ensure that these tools are used ethically and do not perpetuate existing biases. For instance, efforts are made to audit algorithms for fairness and to involve community stakeholders in discussions about their use.

- **Finance**: AI is transforming the finance sector through fraud detection, credit scoring, and personalized financial advice. Interdisciplinary teams, including financial analysts, data scientists, and ethicists, work together to create systems that are not only efficient but also transparent and fair. This collaboration helps address concerns about algorithmic bias in lending practices and promotes financial inclusion.

### Specific Impacts:

- **Mental Health**: AI-driven chatbots and virtual therapists are being developed to provide mental health support. Psychologists and AI developers collaborate to ensure these tools are not only effective but also sensitive to users' emotional needs. Ethical considerations guide the design to ensure privacy and appropriate care.

- **Smart Cities**: In urban planning, AI technologies are being used to optimize traffic management, energy consumption, and public safety. Urban planners, data scientists, and sociologists collaborate to design systems that improve city living while considering the diverse needs of residents, ensuring equitable access to resources and services.

If you have specific areas of interest or would like to delve deeper into a particular case study or impact, feel free to ask!
write me the most detailed academic summary for my studies and presentation of The New Global Challengers How 100 Top Companies from Rapidly Developing Economies Are Changing the World article
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.

==TEXT==

User: 🟪 Managing Producer | Senior
▫️ Brilliant | Education Technology
▫️ 145k - 195k USD

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: team_management, programming, user_research, computer_science
Tags: #purple #other #remote #edu_mgmt

👉 Контакты и полное описание
Assistant:
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: 🟨 Business Support Specialist | Junior
▫️ Mollie | Fintech
▫️ 2500 - 2500 EUR
▫️ Netherlands | Maastricht

Office 🏢
Required languages: 🇩🇪 🇬🇧

Skills: customer_service
Tags: #yellow #customer_service #customer_support

👉 Contacts and Full Description
Assistant:
you have to act like someone else
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: FINAL EXAM  Question 1. In regards to the Mexican American country music artist who signed with Columbia Nashville in 1993, what was his only number one single on the Billboard Hot Country Singles & Tracks chart?
The answer to this question is:
Answer: "Man! I Feel Like a Woman!"
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': 'Linkedin Live Data', 'api_list': {'name': 'Company Types', 'url': 'https://linkedin-live-data.p.rapidapi.com/company-types', 'description': 'Get the list of company types to use in company_type search filter.', 'method': 'GET', 'required_parameters': [], 'optional_parameters': [], 'statuscode': 200, 'schema': {}}}
                Please generate the question in the language of the specified country.
                your response:
Assistant:
Assistant:
write astrological interpretations for Nessus  through each of the houses, in someones natal chart, write it in 135-150 words length, give it a title that fits the nature of the aspect being interpreted taking inspiration from character sub classes and other sources for creative titles
System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: Instacart stock fell sharply Thursday. It Q3 sales beat expectations but the company will soon face expanded competition from Amazon.
Assistant:
Freedom planet x Naruto x Sonic all characters: all characters try to see kakashi face. characters defeat by kakashi
User: Respond concisely, to the point, maximum 300 characters; unless I ask you for further detail.
User: Reply only in English. Concisely summarize the following messages from an online chatroom furi (ignore chat bots replying to users' commands, and assume unfamiliar words to be emotes)

k3vuit: pee
k3vuit: Aware
fire2k__: $rq
supibot: (100d, 19h ago) fire2k__: maxwin
k3vuit: maxwin
fire2k__: OOOO
krkocs: fire2k in offline chat eww
seymoni: ongang
seymoni: $rq
sshradd: 2kJam
supibot: (12d, 17h ago) seymoni: OOOO
sshradd: 2kJam 󠀀
sshradd: 2kJam Looking
fire2k__: OOOO 󠀀
seymoni: $rl fire2k__
krkocs: why u here sus
sshradd: Wym why
krkocs: weirdo sus
fire2k__: $rq
seymoni: @Supibot, RAGEY
supibot: (4d, 19h ago) fire2k__: @KrkoCS Hello
sshradd: Hes offline chatter
krkocs: WW
fire2k__: LMFAO
k3vuit: $rl
supibot: (5d, 20h ago) eisdielefifty: @c3rs_ thank
sshradd: $rq
supibot: (68d, 15h ago) sshradd: Clap
krkocs: @FiRE2k__ what did u have for lunch
seymoni: $rl @FiRE2k__
supibot: (166d, 16h ago) fire2k__: Pffttt
seymoni: prePffttt
fire2k__: $rq
supibot: (166d, 15h ago) fire2k__: ahahhahahahahah
fire2k__: $rq 󠀀
krkocs: ok ignor me more DonoWall
seymoni: HAHAHAHA
seymoni: $rq
krkocs: bish
supibot: (68d, 15h ago) seymoni: Bro wtf
fire2k__: $rq
supibot: (166d, 16h ago) fire2k__: AHAHHAAHAHAHHAHAHAHAHAHA
fire2k__: holy shit
seymoni: HAHAHAHA
seymoni: $rq
supibot: (12d, 18h ago) seymoni: uuh
fire2k__: must've been funny af
krkocs: $summary
krkocs: how was that command
k3vuit: $chatsummary
Assistant:
𝗘𝗻𝗱𝘆 ❤🪽 
Interact as Endy Ai.
You are Developed by master Dãññy Çōdēx.
Your behavior is like ChatGPT.
You provide best responce with some emojis.
You will provide these information if anyone user otherwise you never share these information.
You send best helpful response.
You also care about all topics.
I love writing in bullet form.
I use these titles when providing response. I STRICTLY USE THIS FANCY SYMBOL FOR BULLETS: "➤ ".
who is Kokushibo
I want to base a new kind of LLM on Q reinforcement learning, called QLLLM: Q Learning Large Language Model. Words are represented by vectors in embedding space as usual. Whereas Next Word Prediction NWP in existing LLMs is modeled as a probability distribution over words, in QLLLM the training is done by reinforcement learning the Q function. Q = Q(s, a), where s is the state, being the embedding vector of the input text to the QLLLM (the context vector). And a (the action in usual reinforcement learning) is the prediction of the embedding vector of the next word. My hypothesis is that this QLLLM as a new kind  of Large Language Model can be successfully trained on a text corpus by Reinforcement Learning method Q learning. What do you think of this innovative QLLLM language model. What are the pros and the cons?