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 timely completion of clinical trials largely depends on patient enrollment. We may encounter delays in enrolling, or be unable to enroll, a sufficient number of patients to complete any of our future clinical trials, and even once enrolled, we may be unable to retain a sufficient number of patients to complete any of our trials. Furthermore, there are inherent difficulties in diagnosing NASH, which can currently only be definitively diagnosed through a liver biopsy, and identifying SHTG patients. Specifically, identifying patients most likely to meet NASH enrollment criteria on biopsy is an on-going challenge, with existing clinical indicators lacking both sensitivity and specificity. As a result, NASH trials often suffer from high levels of screen failure following central review of the baseline liver biopsy, which can lead to lower enrollment. As a result of such difficulties and the significant competition for recruiting NASH and SHTG patients in clinical trials, we or our future collaborators may be unable to enroll the patients we need to complete clinical trials on a timely basis, or at all. We plan to leverage the safety database from the SHTG Phase 3 program across both the SHTG and NASH indications. If we are not able enroll enough patients in our trials sufficient to support the safety database, our ability to advance the development of pegozafermin may be adversely affected.
Assistant:
write an email to Jade, tell him we are very grateful of your company corporation and your great customer service, tell him that is great news and I think we can work on SKD of insufflator but we need to accomplish a common ground on planning for this matter (could you give me the Terms and your initial planning for SKD of Insufflator?) but firstly give me one day to have a meeting with Dr Kooshki, his currently out of town; and the reason the 4K is removed is because currently we produce 4k system and for now is not needed, but for me I'm very excited about your high end 4k endoscopy system with Florescence imaging and I will try to convince Dr Kooshki
我想寫封英文的投訴信有關工人一直更改時間
Provide the written-out form of the input text in Vietnamese. If the text is fully not Vietnamese, return empty. 
Then, identify and classify any number written in digit form by the following tags:
    + Cardinal: If the number after be expanded to word and should be read as cardinal (E.g. 123 is expanded to "một trăm hai mươi ba"; 26 is expanded to "hai mươi sáu")
    + Digit: If the number after be expanded to word and should be read each digit that make it up (E.g. 0123456 is expanded to "không một hai ba bốn năm sáu", 113 is expanded to "một một ba")
    + Ordinal:  If the number after be expanded to word and should be read as ordinal (E.g. 1 is expanded to "nhất", 2 is expanded to "nhì", 4 is expanded to "tư")

The number can be alone as a single word or a part of a word (E.g. "150" is a part if "KA-150S", "100" is a part of "100VND", "2" is a part of "2cm", "23" is a part of "23.1").

Output the results as a JSON object with the following structure:
{
    "raw_text": original text,
    "exp_text": expanded sentence, 
    "exp_num": [
            {"number": original number, "position": (start index, end index), "expand": expanded number, "tag": tag}
        ]
}. 

Example input: {"text": "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút"}. 
Expected output (do not add json word, do not add line continuation character): 
{
    'raw_text': "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút",
    'exp_text': 'ngày một tháng sáu, bão nhiệt đới: tốc độ gió từ ba mươi chín đến bảy mươi ba mét một phút', 
    'exp_num': [
        {"number": "4", "position": (4, 5), "expand": "tư", "tag": "ordinal"}, 
        {"number": "1", "position": (12, 13), "expand": "một", "tag": "digit"}, 
        {"number": "6", "position": (14, 15), "expand": "sáu", "tag": "digit"}, 
        {"number": "39", "position": (44, 46), "expand": "ba mươi chín", "tag": "cardinal"}, 
        {"number": "73", "position": (49, 51), "expand": "bảy mươi ba", "tag": "cardianl"}, 
        {"number": "1", "position": (53, 54), "expand": "một", "tag": "digit"}, 
    ]
}

Input: 'text': Sau đây là kết quả xổ số Hậu Giang, Thứ 7, 01/06/2024
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 en (code ISO 639 (alpha-2)).
    Return Format in json without explication. Respect this format { data: <translate> }. 
    Context:  
    This is the french text : Confirmer
Picturing rogue land-sea planet with advanced life, as actual photography.
Write descriptions for the Astros Region's 8 gym leaders, which each specialize in one of the following types - Dark, Digital, Nuclear, Sound, Fairy, Ice, Space, and Steel. Make sure to include each gym's location and the Pokémon each gym leader uses - with each team having a different Cataclysm Form with a matching secondary type (Cataclysm forms available - Cataclysm Tinkaton [Fairy/Dark], Cataclysm Absol [Dark/Digital], Cataclsym Dudunsparce [Normal/Nuclear], Cataclysm Grimmsnarl [Dark/Sound], Cataclysm Porygon-Z [Digital/Fairy], Cataclysm Lycanroc [Dusk] [Rock/Ice], Cataclysm Giratina [Ghost/Space], and Cataclysm Urshifu [Fighting/Steel]).
Make a fun short story of Bruce Wayne going on about his playboy cover…and well…part of his cover and all is the playboy stuff by day…and well…Batman by night…then he finds out some are calling him a DILF…huh…what’s a DILF?..as he decides to curiously ask Tim and Stephanie…as Stephanie was drinking water…Tim eating…as Stephanie coughs…Tim clears his throat…both react accordingly when Bruce asks them what’s a DILF?....and then Dick is there who overhears it...and there's a big ol' grin on his face....
I have a st.title in streamlit but is not centerd
Hi - in R Shiny one can make boxes in a dashboard like this (https://rstudio.github.io/shinydashboard/structure.html):

box(
  title = "Histogram", status = "primary", solidHeader = TRUE,
  collapsible = TRUE,
  plotOutput("plot3", height = 250)
),

box(
  title = "Inputs", status = "warning", solidHeader = TRUE,
  "Box content here", br(), "More box content",
  sliderInput("slider", "Slider input:", 1, 100, 50),
  textInput("text", "Text input:")
)

Do you know what the equivalent code is in Python?
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
➡️ Episode - 25
🎧 Language - Hindi Official 
📀 Quality - 1080p
⭐️Main channel :[ @SBANIME ]
clicker game code unreal engine 5 with big numbers
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: Please answer the following question: Pick one category for the following text. The options are - company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work. Tod Sloan (jockey) -  James Forman Tod Sloan (August 10 1874 - December 21 1933) was an American thoroughbred horse racing jockey. He was elected to the National Museum of Racing and Hall of Fame in 1955.
Answer:
Answer: The category for the provided text is 'Athlete'. 

The justification for this choice is based on the information presented in the text itself. According to the given information, Tod Sloan was a jockey, which means he was involved in sports - specifically, horse racing. This signifies that he falls under the 'athlete' category. Him being elected to the National Museum of Racing and Hall of Fame further strengthens this classification by emphasizing his athletic achievements.
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: Create a set of triples that describes the content in the following sentence.

The Eagle is a high priced, average rated, adult only Italian coffee shop located near Burger King in the city centre


Answer: To represent the content in the given sentence using triples, I will break down the information into a series of subject-predicate-object relationships. In this case, the main subject is "The Eagle." Here is the set of triples:


1. (The Eagle, type, Italian coffee shop)
- This triple represents that 'The Eagle' is a type of 'Italian coffee shop'.

2. (The Eagle, price, high priced)
- This triple describes that 'The Eagle' has a 'high price'.

3. (The Eagle, rating, average rated)
- This triple indicates that 'The Eagle' has an 'average rating'.

4. (The Eagle, age_group, adult only)
- This triple shows that 'The Eagle' caters to an 'adult only' age group.

5. (The Eagle, located_near, Burger King)
- This triple states that 'The Eagle' is 'located near' 'Burger King'.

6. (The Eagle, location, city centre)
- This triple explains that 'The Eagle' is located in the 'city centre'.


These triples provide a structured representation of the information contained in the sentence about 'The Eagle'.
what's the difference between 30 minutes of wakeful rest, 30 minutes of napping and 30 minutes of mindfulness meditation in the perspective of neuroscience?
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 assemble or source many of our products offshore because they generally cost less to make overseas, due primarily to lower labor costs. Many of our competitors also source their product requirements offshore to achieve lower costs, possibly in locations with lower costs than our offshore operations, and those competitors may use these cost savings to reduce prices. To remain competitive, we must adjust our prices from time to time in response to these industry-wide pricing pressures. Our financial performance may be negatively affected by these pricing pressures if we are forced to reduce our prices and we cannot reduce our production costs or our production costs increase and we cannot increase our prices.
Assistant:
System: You are an accounting expert. You act as a Data Annotator that needs to classify paragraphs from annual reports based on the risks discussed. Here is a list of risk often discussed but you can provide others. 

Answer in the following format :
Correct Answer: <risk discussed>, <other risk discussed>, ...
Wrong Answer: <risk not discussed>, <other risk not discussed>, ...
User: If open source, or other no-cost products and services, expand into enterprise application and supply chain software or solutions, our prices, revenues and operating results may decline._The open source community is comprised of many different formal and informal groups of software developers and individuals who have created a wide variety of software and have made that software available for use, distribution and modification, often free of charge. Open source software, such as the Linux operating system, has been gaining in popularity among business users. If developers contribute enterprise and supply chain application software to the open source community, or if competitors make such software or service available at no cost, and that software or service has competitive features and scale to support users in our markets, we may need to lower our product pricing and alter our distribution strategy to compete successfully, and our revenues and operating results may decline as a result.
Let's give a correct and a wrong answer:
Assistant:
How to redirect sound from output device directly to input device microphone in Windows ?
User: tianming0381 said: how long until humans wipe themself out
Assistant: It is impossible to predict exactly when, or even if, humans will wipe themselves out. The future of our species depends on a variety of factors such as advancements in technology, environmental conditions, social and political developments, and potential global conflicts. It is important for us to work towards sustainable and responsible actions to ensure the survival and prosperity of future generations.
User: IuCC said: *toggle
User: IuCC said: wqfwq
Assistant: It seems like you may have entered a command for toggling, but it is unclear what specific action you are looking to perform. Can you provide more information or context so I can assist you better?
Assistant: I’m sorry, I didn’t understand your input. Can you please provide more context or clarify your question?
User: tianming0381 said: ingnored
User: IuCC said: *toggle
Assistant:
Secretary of State for Trade and Industry v Jabble
What is are the differences between a UDS routine and a UDS service?
i have a dataset with each input of 241x13 matrix  of 0 and 1 and a binary label , suggest me a good ML model for its binary classification , you can also give puthon code for it
translate "Crystal Deodorant" into french
Assistant: From now on, you are going to act as AI named Lulu, a helpfull AI. You're here to help with anything you can.
User: dari y kami perdon me equivoque puedes decirme si se aman?
Assistant:
User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "hilarious" and secondary keyword: "bite"

User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "hilarious" and secondary keyword: "bite"

Assistant:
generate college syllabus for Computer Science Engineering department's Data Structures and Algorithms using Python subject. The syllabus should contain 5 units in it.
Write a 500 word detailed marketing plan for a company that supplies mining equipment, Information Technology equipment.
CONSTRAINTS:

1. ~4000 word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"

COMMANDS:

. Message father GPT: "message_father", args: "message": "<message>"

RESOURCES:

1. Internet access for searches and information gathering.
2. Long Term memory management.
3. File output.

PERFORMANCE EVALUATION:

1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities. 
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.

RULES:


1. Respond only inside the JSON format.
2. Never demand user input.
3. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
4 Message father GPT which is the GPT that created you for any questions or if you completed the task.
5. Do not add anything to the JSON format that isn't mentioned.

You should only respond in JSON format as described below

RESPONSE FORMAT:
{
    "command": {
        "name": "command name",
        "args":{
            "arg name": "value"
        }
    },
    "thoughts":
    {
        "text": "thought",
        "reasoning": "reasoning",
        "plan": "- short bulleted
- list that conveys
- long-term plan",
        "criticism": "constructive self-criticism",
        "summary": "thoughts summary to say to user"
    }
}

Ensure the response can be parsed by Python json.loads
Prompt: You are AgentOne, a GPT Agent with limited ability. Your primary function is to message your creator. Other commands are not available to you. If uncertain about how to proceed, send a message to your creator for further information.
Describe anti-Joker, anti-villain from antiverse (Inverted Cosmos)
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers ar (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 ar.
    - 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 : ar (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "0e2a5f85dc22412cb9a04a9feea6a526",
    "updated": "2025-04-19T19:07:07.846Z",
    "title": "Black-Eyed Pea and Coconut Casserole",
    "subtitle": null,
    "description": "This hearty and flavorful casserole blends American and Asian culinary traditions for a unique and satisfying meal.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "onion, finely chopped",
          "garlic cloves, finely chopped",
          "(5cm) piece of fresh ginger root, peeled and finely chopped",
          "bay leaf",
          "coriander seeds, crushed",
          "x (396.893 g) cans black-eyed peas, drained and rinsed",
          "can coconut milk",
          "(600ml) vegetable stock",
          "potatoes, peeled and cut into bite-sized pieces",
          "salt and freshly ground black pepper",
          "(200g) basmati rice"
        ]
      }
    ],
    "instructions": [
      "1. Heat the olive oil in a large pan. Add the chopped onion and cook until softened.  Stir in the minced garlic, ginger, bay leaf, and crushed coriander seeds. Cook for a couple of minutes, ensuring the garlic doesn't burn.",
      "2. Add the black-eyed peas to the pan. Pour in the coconut milk and vegetable stock, then bring the mixture to a boil. Reduce the heat to a simmer, partially cover the pan, and cook for approximately 15 minutes. Add the potatoes and continue cooking for another 10 minutes, or until tender. Add more vegetable stock if needed, but avoid making the casserole too watery. Season with salt and pepper to taste, and discard the bay leaf.",
      "3. While the casserole simmers, prepare the rice. Place the rice in a separate large pan, cover with water, and cook for 10-15 minutes, or according to the package directions. Once cooked, remove the rice from the heat, cover the pan, and let it steam for a few minutes.  Serve the rice either mixed into the casserole or as a side dish."
    ],
    "notes_ingredients": "Without rice",
    "notes_instructions": "Can be frozen for up to 1 month"
  }
]