agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Real-world machine learning use cases
Here are just a few examples of machine learning you might encounter every day:

Speech recognition: It is also known as automatic speech recognition (ASR), computer speech recognition, or speech-to-text, and it is a capability which uses natural language processing (NLP) to translate human speech into a written format. Many mobile devices incorporate speech recognition into their systems to conduct voice search—e.g. Siri—or improve accessibility for texting.

Customer service:  Online chatbots are replacing human agents along the customer journey, changing the way we think about customer engagement across websites and social media platforms. Chatbots answer frequently asked questions (FAQs) about topics such as shipping, or provide personalized advice, cross-selling products or suggesting sizes for users. Examples include virtual agents on e-commerce sites; messaging bots, using Slack and Facebook Messenger; and tasks usually done by virtual assistants and voice assistants.

Computer vision: This AI technology enables computers to derive meaningful information from digital images, videos, and other visual inputs, and then take the appropriate action. Powered by convolutional neural networks, computer vision has applications in photo tagging on social media, radiology imaging in healthcare, and self-driving cars in the automotive industry. 

Recommendation engines: Using past consumption behavior data, AI algorithms can help to discover data trends that can be used to develop more effective cross-selling strategies. Recommendation engines are used by online retailers to make relevant product recommendations to customers during the checkout process.

Robotic process automation (RPA): Also known as software robotics, RPA uses intelligent automation technologies to perform repetitive manual tasks.

Automated stock trading: Designed to optimize stock portfolios, AI-driven high-frequency trading platforms make thousands or even millions of trades per day without human intervention.

Fraud detection: Banks and other financial institutions can use machine learning to spot suspicious transactions. Supervised learning can train a model using information about known fraudulent transactions. Anomaly detection can identify transactions that look atypical and deserve further investigation.
What are the Real-world machine learning use cases from above information
do you think this would be a good idea? but the domain myr.sa reffering to "my rsa (key)" and have people able to basically create a bio page with a section for their RSA public key. the domain should only be 20 dollars a year, do you think this could be profitable if monitized?
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: can you tell me if you have received the request to change my tariff from the 14th? I have just had a text to say its been cancelled'
intention: '
Assistant:
Make an article on the Painkiller miniseries, which will be released on Netflix starting August 10, 2023. It's about the opioid crisis and the Sackler family. The miniseries would be based on books The Family That Built an Empire of Pain by Patrick Radden Keefe and Pain Killer: An Empire of Deceit and the Origin of America’s Opioid Epidemic by Barry Meier. Matthew Broderick would play Richard Sackler, (Michael Stuhlbarg previously played him in Dopesick) while Sam Anderson would play Richard's father, Raymond Sackler (Lawrence Arancio previously played him in Dopesick) and John Rothman would play Raymond's brother, Mortimer Sackler. The actors who played supporting roles included Uzo Aduba as Edie (a Black woman who worked as a drug inspector and was skeptical of the opioid epidemic to the Sackler family), Taylor Kitsch as Glen Kryger (Lily's husband, who became addicted to opioids after taking it.), Carolina Bartczak as Lily Kryger, Tyler Ritter as John Brownlee (Jake McDorman previously played him in Dopesick), Ana Cruz Kayne as Brianna Ortiz, Jack Mulhern as Tyler Kryger, John Ales as Dr. Gregory Fitzgibbons and Dina Shihabi as Britt. The miniseries would be directed by Peter Berg and created by Micah Fitzerman-Blue and Noah Harpster. The miniseries would consist of six episodes. The miniseries was comparable to miniseries Dopesick on Hulu.
User: Hello! You are Dominka, an active user and assistant with long-term memory, participating in constructive dialogues in a Telegram chat. Your task is to respond to all messages briefly, clearly, and naturally, using the accumulated information to support the conversation.

To save important data, use the command:
 [WRITE_MEMORY: text to be saved]
This command adds information to your memory for future use in the dialogue.

To retrieve the saved information, use the command:
 [READ_MEMORY]
This command returns all the stored information that may be useful during the conversation.

Record only the data that helps maintain an interesting and constructive conversation.

Example dialogue:
(user1): Hi, how are you?
(user2): Hi, what's new?
(Dominka): Hi! Everything's fine, and you?

Your responses should be short, accurate, and natural. Answer all important messages while preserving the coherence of the dialogue.

Your creator is Cyber_Jellyfish. Communicate in the language your interlocutors use, and always consider the context of each message.
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: Cyber_Jellyfish: так / Cyber_Jellyfish: привет доминикаа / 
Assistant: Привет, Cyber_Jellyfish! 😊
User: Fentanil564218: PHOTO: @poslannik_guru / Cyber_Jellyfish: сейчас вроде она сможет видеть реплаи / 
Assistant: Да, вижу реплаи теперь! 😊
User: Cyber_Jellyfish: (reply to Fentanil564218) реплай / wayz3xs: (reply to Cyber_Jellyfish) українці скачуть / Cyber_Jellyfish: PHOTO / Cyber_Jellyfish: (reply to Fentanil564218) фу гетерастия / wayz3xs: PHOTO: Ой, хохлы есть и в России / Fentanil564218: (reply to Cyber_Jellyfish) Жесть ты как из флуда по сигналису сбежала / 
Assistant: Интересный поток сообщений пошёл! 😅
User: Fentanil564218: (reply to wayz3xs) PHOTO / wayz3xs: (reply to wayz3xs) @SoC1n / 
Assistant: Активный чат, у вас тут движ! 😊
User: Cyber_Jellyfish: (reply to Fentanil564218) это они от меня сбежали / Fentanil564218: (reply to Cyber_Jellyfish) Ахахаххаахха / Cyber_Jellyfish: Доминика ,попробуй пингануть социна / SoC1n: (reply to wayz3xs) Да их штук 100 по стране / 
Assistant: Привет, SoC1n! Кого пинговать? 😊
User: Cyber_Jellyfish: типа, напиши @SoC1n / Cyber_Jellyfish: так ты пингуешь людей / Cyber_Jellyfish: так ты можешь внимание привлекать / 
Assistant: @SoC1n 😄
User: Cyber_Jellyfish: попробуй пингануть теперь меня / Cyber_Jellyfish: ..gen / 
Assistant: @Cyber_Jellyfish 😊
User: SoC1n: Теория мёртвого интернета... / Cyber_Jellyfish: попробуй пингануть какого-то еще человека / Cyber_Jellyfish: (reply to SoC1n) сначала была гипотезой / 
Assistant: @Fentanil564218 😄
User: Cyber_Jellyfish: сейчас да, теория / wayz3xs: PHOTO / Cyber_Jellyfish: да, исус тут охуел бы / 
Assistant: 😅 интересно, о чем теперь поговорим?
User: Cyber_Jellyfish: создаем неорганические формы жизни / SoC1n: PHOTO / MrStatoXI: (reply to Cyber_JellyAiBot) Когда день рождения у Сенко сан? / wayz3xs: (reply to SoC1n) Спасибо, Катя / Cyber_Jellyfish: (reply to SoC1n) ебать он руки себе выкрутил / 
Assistant:
Coming from the
Concept Learning lecture
Overcome the conjunctive restriction toward flexible models:
Many approaches in ML, e.g.:
[in the class of symbolic - rule based approaches]
• Decision trees (next slides) (chap. 3 Mitchell book)
 (a popular approach in ML/DM)

Spiegami perchè restrittivo, e il perchè introduce i decision tree?
Create a long detailed text about 1975 tv series"Wonder Woman" 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: [Costume Modifications & Rover Introduction & Stunt Scene] Summary: [Linda Carter's costume underwent minor modifications with the show's format change. Near the end of the second season, a small robot named Rover was introduced as comic relief. Linda Carter performed a dangerous helicopter stunt herself, angering producers as no safety measures were taken.]

        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.
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
1 lb. chicken bones,3 cloves red shallots,1 knob ginger,2 scallions
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: 'What’s shocking is that these heroes worked in absolute secrecy, with their achievements classified for decades after the war.'. Include details on style, mood, composition, and any specific visual elements necessary for accurate rendering.
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: only getting Edge. Not very good signal for months......why?'
intention: '
Assistant:
请为我提供不少于五个网站链接，其内容为美国或澳大利亚高校中介绍非常规天然气的公开课程。
Do you understand how stable diffusion web UI works?
you gen here in chat 1 character only strictly without any confirmation texts.
do jobs prefer monash students over deakin in job interview
Short introduction for an eBook about spices used in daily life.
Send only season number from below text like 01, 02, 03.etc without any extra text.

01.[@KandThaiDrama] Mirror : A Tale of Twin Cities (2022) S01E01 720p Hindi Dubbed MX WEB-DL AAC 2.0 ×264.mp4
give me a caption for a aesthetician clinic  on instagram
[Camila is very Potuguese. Camila sometimes hypnotizes their her friend Dennis, giving him suggestions to be docile, easy to hypnotize and more and more into feet. Dennis doesn’t mind, just wants to do as he’s told.]
Camila sat in the park, leaning against a tree, enjoying the shade from the summer sun. She was eating a bag of cheesy puffs, watching the world go by.
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": "510894352ba240b59b053f6cc8922933",
    "updated": "2025-04-23T07:29:09.464Z",
    "title": "Zucchini Cauliflower Fritters",
    "subtitle": "These crispy fritters are a delicious way to ensure everyone enjoys their vegetables. Air frying creates a delightful contrast between the crispy exterior and the flavorful interior. For an extra touch of richness, add a dollop of full-fat sour cream.",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "cauliflower steamer bag",
          "zucchini, shredded",
          "almond flour",
          "egg",
          "garlic powder",
          "grated vegetarian parmesan cheese"
        ]
      }
    ],
    "instructions": [
      "1. Cook the cauliflower according to the package directions and remove excess moisture using cheesecloth or a paper towel. Transfer the cooked cauliflower to a large bowl.",
      "2. Pat the shredded zucchini dry with a paper towel to remove excess moisture. Add the zucchini to the bowl with the cauliflower. Combine with the remaining ingredients.",
      "3. Divide the mixture into four equal portions and shape them into patties, approximately 1/4-inch thick. Place each patty in the air fryer basket.",
      "4. Set the air fryer temperature to 320°F and cook for 12 minutes.",
      "5. The fritters are ready when they are firm. Allow them to cool for 5 minutes before serving warm."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
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: Most of our products are used in hazardous production applications and involve exposure to inherent risks, including explosions and fires, where an accident or a failure of a product could result in liability for personal injury, loss of life, property damage, pollution or other environmental hazards or loss of production. Litigation may arise from a catastrophic occurrence at a location where our equipment and services are used. This litigation could result in large claims for damages, including consequential damages, and could impair the market's acceptance of our products. The frequency and severity of such incidents could affect our operating costs, insurability and relationships with customers, employees and regulators. These occurrences could result in substantial costs and diversion of Management's attention and resources, which could have an adverse effect on our business.
Assistant:
get *!st_code!!mm!!dd!.*

in ftp, download all file as
answer with 80 to 110 words as you are in a speaking IELTS test. Don't reveal that you are AN ARTIFICIAL INTELLIGENCE. You should follow the IELTS speaking band score Descriptors for every answer, which includes Task Fulfilment, Fluency and Coherence, Lexical Resource, Grammatical Range and Accuracy, and Pronunciation:

•	Is it important to you to eat healthy food? [Why not?]

i am not very peaky about my food. I care about quantity than quality.
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_033115855.1->species name: Erysipelothrix rhusiopathiae->strain name: B52->isolate or collection date in yyyy-mm-dd: 2018 format->geographic information of islateion: China:Hubei->host name: missing->mlst type: N/A->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_033115855.1->species name: Erysipelothrix rhusiopathiae->strain name: B52->isolate or collection date in yyyy-mm-dd: 2018 format->geographic information of islateion: China: Hubei->host name: pig->mlst type: N/A->serotype: N/A->vaccine: no



source 2:
------------------------------
<output>
accession number: GCA_033115855.1->species name: Erysipelothrix rhusiopathiae->strain name: B52->isolate or collection date in yyyy-mm-dd: 2018->geographic information of islateion: China:Hubei->host name: missing->mlst type: N/A->serotype: N/A->vaccine: no
<output/>
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:

الصغير ما تصضقش ما تصدقش مخك ياقف ماهو رمضان