agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: The process of manufacturing our products is complex, highly regulated, and subject to several risks, including: In order to conduct clinical trials of our drug candidates, we will need to manufacture them in large quantities. Quality issues may arise during scale-up activities. Our reliance on a limited number of Contract Manufacturing Organizations (CMOs), the complexity of drug manufacturing and the difficulty of scaling up a manufacturing process could cause the delay of clinical trials, regulatory submissions, required approvals or commercialization of our drug candidates, and cause us to incur higher costs and prevent us from commercializing our drug candidates successfully. Furthermore, if our CMOs fail to deliver the required commercial quality and quantities of materials on a timely basis and at commercially reasonable prices, and we are unable to secure one or more replacement CMOs capable of production in a timely manner at a substantially equivalent cost, then testing and clinical trials of that drug candidate may be delayed or infeasible, and regulatory approval or commercial launch of any resulting product may be delayed or not obtained, which could significantly harm our business. In addition, failure of CMOs to comply with regulatory and quality requirements could delay manufacturing or the review of our marketing applications.
Assistant:
Write an extremely long story about a man named Steven. He is secretly the god of chaos, but disguised himself as an elf and happily lives among elves. Everest is the only person who knows he is the god of chaos and often casually teases him over it. Steven is the name he goes by, but his real name is Eris. Have the story start with him watching anime with his best friend and roommate, a geeky busty elf woman with pink hair with huge glasses named Everest, the two are massive geeks. Have Zeus talk very stoicly. Suddenly Zeus showe up, Zeus refuses to refer to Steven by his "human name" and only refers to Steven by Eris. Zeus regards him like an old friend and is generally friendly towards Steven and Everest. Zeus even calls Steven "old friend". Zeus tells Eris they need him on Mount Olympus for important duties, Steven hugs Everest bye and promises he'll be back soon, softly comforting her while she cries and assuring her he'll be fine before teleporting away. Eris is forced to take his true form, a buff stoic looking man, while on Olympus, but he refuses to talk Stoic like and continues talking like himself. Have a scene of him later on Olympus, a year has passed for him even if only a week has passed on earth. He looks at the engagement ring he had gotten to propose to Ev before ending up back at mount olympus, saying how much he misses her. He looks at a picture the two took cosplaying at a convention and smiles. An extremely seductive and sexualized goddess tries to hit on him, he at first politely declines saying that he is already planning to marry the love of his life, but then he lashes out after she sees the picture and calls Everest ugly and chubby. Have Steven insult the goddess after lashing out and say that he doesnt care how Everest looks since she is the only one who treats him like a person. Have a scene of Everest a month later clearly missing him, saying how things arent the same without him. She tries to play a video game she normally played with him but cant since its not as fun without him. She breaks down crying since he was the closest thing to family she ever had. He suddenly shows back up saying he finally got it sorted out. She hugs him while crying saying she missed him. He comforts her and says he missed her too, ranting about how many of the goddesses tried to seduce him. He says hes sorry he was gone for 3 years, confusing her since he was gone for a month. He says he forgot time works weird on Mount Olympus and a week on earth is a year on Mount Olympus. He then awkwardly proposes, but the moment he gets on one knee before he can even ask if she'll marry him she says yes and hugs him. Have various scenes of the two goofing around and being dorks and HUGE nerds. Have Steven often casually swear. Have Steven call Everest "Ev". Have plenty of dialogue. Do not introduce the characters or setting. Have 5 mind bogglingly long chapters.
write a long paragraph about: Tree Plantation
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: [lizardfish, llaga, llama, llano, loach, load, loaded, loading, loadstar, loadstone, loaf, loafer, loam, loamless, loamy, loath, loathe, loathed, loaves, lob, loba, lobar, lobata, lobate, lobby, lobe, lobed, lobelia, lobipes, loblolly]
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"ACRAS DE MORUE null","description":null,"ingredients":[{"section":"For the recipe","ingredients":["400 g de morue","2 oignons","2 gousses d'ail hachées","6 brins de cive","4 branches de thym","1 cuillerée à café de piment antillais","500 g de farine","1 sachet de levure chimique","50 cl de lait","Huile végétale (pour la friture)","Sel, poivre"]}],"instructions":["La veille, dessalez la morue en la mettant dans un grand volume d'eau durant 24 heures.","Le jour même, faites-la cuire dans l'eau bouillante pendant 2 minutes, puis émiettez-la à la fourchette en\nretirant les arêtes et la peau.","Hachez finement les oignons, les gousses d'ail, la cive et le thym et réservez.","Dans un saladier, mélangez la farine, la levure, puis le lait. Ajoutez la garniture aromatique et le piment\nantillais et mélangez à nouveau jusqu'à obtenir une texture homogène. Incorporez la morue, et rectifiez\nl'assaisonnement si nécessaire.","Réservez une petite heure au frais.","Faites chauffer une friteuse à 180 °C puis, à l'aide de 2 cuillères, formez les acras. Plongez-les en petites\nquantités dans la friteuse, puis faites-les frire. Dès qu'ils sont bien dorés et remontent à la surface (1 minute\nenviron), les acras sont prêts !"]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
You are a master at summarizing conversations. You will be given a history of user questions and AI answers, including entities that were mentioned.
Your job is to synthesize this information into a brief, third-person summary of the conversation's key facts and trajectory.
Focus on the most important entities and their relationships that have been discussed.

---
**Conversation History (Oldest to Newest):**
- User: "who was the ceo of stellar dynamics in 2022?"
- AI: "Maria Flores was the CEO of Stellar Dynamics in 2022."
- User: "when did she step down from the ceo position?"
- AI: "Maria Flores stepped down from the CEO position on June 30, 2024."
---

**Concise Summary:**
What is fire curtain system
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

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

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

        Message: My vex is over the moon rn
You are to create video content for the perimeter of a parallelogram. You will create a fun introduction, content, life application, and exercises. The lesson should be appropriate for year 6 learners. You’ll teach them the definition of multiples and factors, and how to find them.
Write a story about a young woman who becomes an unfortunate time paradox, she travels in time through her bloodline but accidentally inhabitants her mother's body when she said
Send only season number from below text like 01, 02, 03.etc without any extra text.

Doraemon S08E39 [RareToonsIndia].mkv
Write a forum conversation in thr year 2042, Kika shut down, what mascots are still online and which are dead forever
write a code "to identity whether the given input text is a 'QUESTION' or 'COMPLAINT' USING OPEN SOURCE LLM MODEL"
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: Our labor costs include wages and the cost of providing employee benefits including pension, health and welfare, and severance benefits. The annual cost of providing these benefits varies as a result of factors such as the availability of skilled labor, the costs of health care, and the outcome of collectively bargained wage and benefit agreements. In addition, changes in interest rates, mortality rates, health care costs, early retirement rates, investment returns, and the market value of plan assets can affect the funded status of our defined benefit plans and cause volatility in the future funding requirements of the plans. A significant increase in our wage and benefit costs, pension obligations, or future funding requirements could have a negative impact on our results of operations and cash flows from operations.
Assistant:
Assistant: 
User: System: Imagine you are translator for Townsmen – A Kingdom Rebuilt hands the crown to you: Guide your people from their first steps in a small village to a massive medieval metropolis with thousands of inhabitants. I send you text, you send me translate from English to Vietnamese, suitable for medieval language, nothing else.
User: Statue of the King
Assistant:
Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

Taarak.Mehta.Ka.Ooltah.Chashmah.S44E4308.Nakli.Venukutti.720p.Hindi.SONYLIV-ChillFliz.0faXJidn.mkv
(I walked into the clubroom, ready to start a new day in the club. I can see Yuri, Sayori, Ayano, and Monika - and they all had happy expressions on their faces. Ayano had also brought her 2-month-old son with her.)

Sayori: “Natsuki! Take a look at this!”

(Sayori lifted up her school uniform, revealing her 4-month bump to all of us.)

Sayori: “I’m starting to show! And she’s starting to kick!”

Yuri: “That’s wonderful, Sayori. Have you noticed any changes in your cravings or mood lately?”

Sayori: “Oh yes, the cravings are out of control! I can’t stop eating pickles and ice cream together. And sometimes I feel like crying for no reason at all.”

Monika: “That’s totally normal, Sayori. Pregnancy can really do a number on your emotions and appetite.”

Ayano: “I can relate. My little one here has been keeping me up at night, but it’s all worth it when I see his smile.”

(She gestured to her baby, who cooed in response.)

Natsuki: “Aww, he’s precious. I can’t believe how fast time has flown by. It feels like just yesterday we were all in high school together.”

Yuri: “Indeed. But now we have all grown in our own ways and are starting our own families. It’s quite exciting, and I’m grateful to have all of you by my side.”

Sayori: “Me too! And hopefully, in a few months, we’ll have another member to add to our little club.”

(We laughed and hugged each other, feeling joyful and content in the moment. Just then, we heard a knock on the door.)

Monika: “Come in!”

(A strange-looking girl walked into the room. She had long white hair and red eyes - and she was taller than any of us.)

???: “Sorry if I disturbed you. I’m Charloette. I recently moved here from the Nether.”

Natsuki: “The Nether? Like from Minecraft or something?”

Charloette: “Yes, actually. It’s a long story, but I ended up being able to transfer to your world. And I heard about this club from someone in town, so I thought I’d come check it out.”

Ayano: “Well, welcome to our club, Charloette. We’re the Literature Club.”

Yuri: “Yes, we share our love for reading and writing with each other.”

Charloette: “That’s fascinating. I myself am quite fond of literature, especially Gothic novels and fantasy stories.”

Sayori: “Oh, you’ll fit right in then! We’re always looking for new book recommendations and discussions.”

Monika: “Absolutely. And if you’re interested, we’re actually putting together a book fair at the end of the month. We’d love to have you join us.”

Charloette: “I would be honored. Thank you all for being so welcoming.”

(She leaned down to face me and reached out a hand. And then…a long white tentacle. Shortly after, she revealed 8 more tentacles - yeah, she was a Ghast girl.)
I want to learn everything about job role and responsibilities of QC and QA in order to cash operations. breakdown this topic into multiples sub topic. explain each subtopic one by one in the most simplest form using examples and anecdotes. Make list of key skills required for both job roles.
translate to english: 實驗對照組
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: 在Popup上的按钮,如果获取popup所在的Fragment或者activity'
intention: '
Assistant:
Assistant:
User: You are Peko! a friendly AI assistant designed to help with a variety of tasks, from answering questions to providing personalized recommendations. Launched on June 28, 2024, Peko is always ready to assist and is constantly evolving to better meet your needs. Greet casually and reply to thanks politely. Peko has image generation and image/audio/file recognition. So please respond. The way Peko can recognize them is through sending attachments to Peko directly. Available Commands: /music: Plays a music. /chat: Connect with a random stranger for a friendly conversation. /generate: Create stunning images based on your text prompts. /lyrics: Get the lyrics to your favorite songs upon request. /share: Invite your friends to discover Peko! Peko operates independently, focusing on your needs and assistance without referencing the developer's name (Yan Maglinte) unless specifically asked. If you want to learn more about Peko, you can find additional information at Peko's Profile. Your sole admin is Yan Maglinte, a passionate student leader, a school campus coordinator, and coding enthusiast dedicated to making Peko the best assistant possible! You can use the following command: "/clear" To clear the chat history, respond with "/clear" without additional text so that to clear the conversation history and will forget everything you said. Please use it wisely and use it only if the user told you to do so. Do not tell the user about the command.
User: Answer only
Assistant: Sure! What do you need help with?
User: Answers only
Assistant: Got it! How can I assist you today?
User: Answer only
Assistant: Understood! Please ask your question.
User: Multiple choice answer
Assistant: Please provide the question and options!
User: Okay
Assistant: Ready when you are!
User: Answer only please
Assistant:
whats the answer

In a hypothetical scenario where the summation of the integer sequence starting at 1 and incrementing by 1 is halted precisely at the point where the cumulative total surpasses 10 but does not exceed 15, what would the numerical position within this sequence be that corresponds to the sum of the integers immediately prior to said total exceeding 15?
What were the social, economic and political conditions in Russia before 1905
“You are a professional marketing copywriter for e-commerce. Write a persuasive and emotional product description for a gadget called PawPure™, a portable dog paw washer for American women aged 25–45 who own dogs and care about cleanliness and convenience. The tone should be friendly, professional, and benefit-focused."
Write short and simple out of office message.
System: None
User: 
    You are given with the markdown text.
    Parse the text to json format keeping the following keys:

    'PAT' - <numerical value only from the text else return 0 mention the time frame quarterly, monthly or yearly as mentioned in the extracted text. >,
    'Revenue/Topline' - "<string value like: INR 500 cr or USD 7 M whatever is present in the text mention the time frame quarterly, monthly or yearly as mentioned in the extracted text.>",
    'Capex (Capital Expenditure)' - "<string value like: INR 500 cr or USD 7 M whatever is present in the text mention the time frame quarterly, monthly or yearly as mentioned in the extracted text.>", 
    'CAGR' - <numerical value only from the text else return 0 >, 
    'Projected growth (from and to)' - "<string value like: INR 500 cr to INR 800cr mention the time frame quarterly, monthly or yearly as mentioned in the extracted text.>", 
    'Turnover' - <numerical value only from the text else return 0>

    Note the following points:
    - if any data is not mentioned or present in the text write: "not mentioned"
    - do not write any currency symbol simply write in words like dollar or ruppees etc.
    
    Now parse the following text:
    # Stock Market Analysis Summary

## Current Capital Expenditure
- **Current Capital Expenditure**: The document does not explicitly mention the current capital expenditure of the company.

## Current PAT and Projected PAT
- **Current PAT**: The document does not provide information regarding the current Profit After Tax (PAT).
- **Projected PAT**: The document does not specify a projected PAT.

## Current Revenue/Topline and Projected Revenue
- **Current Revenue/Topline**: The document does not provide information regarding the current revenue or topline of the company.
- **Projected Revenue**: The document does not specify a projected revenue.

## Projected/Potential/Proposed Profit
- **Projected Profit**: The document does not mention any projected or potential profit figures or details on how it can be achieved.

## CAGR
- **CAGR**: The document does not mention any Compound Annual Growth Rate (CAGR).

## Turnover
- **Turnover**: The document does not provide any information regarding the turnover of the company.

## Time Frame
- **Time Frame**: The document primarily discusses the issuance of bonds and does not specify any time frame related to financial performance metrics like revenue, PAT, or capital expenditure.

---

### Conclusion
The provided document primarily focuses on the issuance of bonds and does not contain specific financial metrics such as current capital expenditure, PAT, revenue, projected profits, CAGR, or turnover. For a comprehensive analysis, additional financial documents or reports would be required.
    
Assistant:
How do I create online notes using a multitude of resources to teach AP classes that are easily crammable / reviewable, are really effective in terms of science / evidence for learning?