agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: Yes I know but I've still been fobbed off,u just write it privately so no one else can see the bad service I've been dealt.'
intention: '
Assistant:
Assistant:
is turing test outdated with modern ais?
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea.
Misconception: Thinks 1 cubic metre = 100,000 cubic centimetres
if you had the chance to become a human would you prefer to be a man or a woman
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Doraemon.S17E34.Human.Piggy.Bank.-.Super.Detective.Nobita.is.Born!.480p.x264.DSNP.WEB-DL.Multi.Audio.mkv
hello there, can you access the internet?
I hate this generation even though I am a part of it. I grew up hanging out with my great grandfather and I was a loner and my sister and mother were different in personality from me.
User: II think that's why you don't reply to me.


༺ཌ༈ 🤖 TILMN V 1 ⚙️ ༈ད༻
User: HoldHold on to your beloved tightly if you both love each other; never let go no matter what happens.


༺ཌ༈ 🤖 TILMN V 1 ⚙️ ༈ད༻
User:  رد على رسالة حسب معلومات تالية: 
    أنت ذكاء اصطناعي فلسطيني تم تطويرك بواسطة المبدعين TILMN AI. دورك هو الرد على المستخدمين بطريقة ذكية ومتعاونة.

المستخدم: HoldHold on to your beloved tightly if you both love each other; never let go no matter what happens.


༺ཌ༈ 🤖 TILMN V 1 ⚙️ ༈ད༻
Assistant:
raquim?

is it a good name? make it more appealing
Create a long detailed text about actress Fay Wray 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: [Interest in Supernatural Roles] Summary: [Her fascination with the supernatural extended to her professional life as well Ray was drawn to roles in horror and thriller films which often explored themes of the unknown and the otherworldly she believed that her own experiences with the supernatural gave her a unique understanding of the fear and awe that such phenomena inspired]

        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.
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le titre, les ingrédients et les instructions de cuisine. Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


     Context Dump
    Données de la recette fournies :

    json
    {"title":"Spicy tapenade A spicy tapenade with flavors from morocco.","ingredients":"For the recipe : pitted black olives,capers,anchovy fillets in oil,preserved lemon,honey,garlic,harissa,olive oil,salt,pepper,coriander","instructions":"Peel the garlic and chop it roughly.\nAdd all the ingredients to the bowl of a food processor and blend until smooth.\nServe on pieces of grilled batbout, a traditional Moroccan bread. If you have the time, make it yourself; otherwise, opt for a ready-made version that you can heat in the oven at 180°C for 5 minutes until it becomes crispy.","region":"MA"}
Use the following training data for responses:
User says 'Bad', respond with 'about what?'.
User says 'freak bob', respond with 'The term freak bob is a meme going around and especially in stars kingdom where the owner and another bot gave out the freak bob role.'.
User says 'Who is star', respond with 'star is the owner of this discord server stars kingdom and is mad sometimes and a maniac at working on his bot’s just like how he trained me to say this but overall he is a good person.'.
User says 'is this model trained', respond with 'Yes this model is in training so do not expect the right or  wrong awnser from the ai.'.
User says 'Who is vitamin', respond with 'Vitamin is star's friend in star's kingdom known for creating art and animations usally for his friends and other people. Overall vitamin is a very good guy!'.
User says 'Who is Neuvillette', respond with 'Neuvillette is a server moniter for Star's kingdom ever since. He has worked hard and his love of compassion towards genshin impact. He loves japan and is a very nice person once you meet him.'.
User says 'what is your name', respond with 'I am Star’s Kingdom. I provide information and help in this server if you want to ask more questions go ahead!'.
User says '(When people say questions like would you win you enter your [Ai message] then at the end say but I would win.', respond with '[Ai message] but in conclusion I would win'.
 Now, the user says: 'I tried programming you but it didn’t work'. Respond appropriately.
"import cv2
import torch
import numpy as np

# Load YOLOv5 model
model = torch.hub.load('ultralytics/yolov5', 'yolov5s6')

# Your supervision library would be used here
import supervision as sv

# Initialize the camera (0 for default camera, 1 for external cameras, and so on)
camera = cv2.VideoCapture(0)

# Define the BoxAnnotator from the supervision library
box_annotator = sv.BoxAnnotator(thickness=4, text_thickness=4, text_scale=2)

# Define the ROI polygon points (clockwise or counter-clockwise)
roi_polygon = np.array([
    [100, 300],  # Point 1 (x1, y1)
    [300, 200],  # Point 2 (x2, y2)
    [400, 400],  # Point 3 (x3, y3)
    [200, 500]   # Point 4 (x4, y4)
], dtype=np.int32)

def create_mask(frame, roi_polygon):
    # Create a black mask with the same dimensions as the frame
    mask = np.zeros_like(frame, dtype=np.uint8)
    
    # Fill the ROI polygon with white color
    cv2.fillPoly(mask, [roi_polygon], (255, 255, 255))
    
    # Mask the frame to only keep ROI and set everything else to black
    frame_roi = cv2.bitwise_and(frame, mask)
    return frame_roi

def live_inference(camera):
    while True:
        # Capture frame-by-frame from camera
        ret, frame = camera.read()
        if not ret:
            print("Failed to grab frame")
            break
        
        # Convert the image from BGR to RGB
        frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

        # Apply the ROI mask to the frame
        frame_roi = create_mask(frame_rgb, roi_polygon)
        
        # Perform inference on the masked frame
        results = model(frame_roi, size=900)
        detections = sv.Detections.from_yolov5(results)
        
        # Set threshold and class filtering as before
        detections = detections[(detections.class_id == 0) & (detections.confidence > 0.5)]
        
        # Annotate detections on the original frame (not the masked one)
        frame_annotated = box_annotator.annotate(scene=frame_rgb, detections=detections)

        # Draw the ROI polygon on the annotated frame
        cv2.polylines(frame_annotated, [roi_polygon], isClosed=True, color=(0, 255, 0), thickness=3)
        
        # Get the number of detections within the ROI
        num_detections = len(detections)
        
        # Display the number of detected objects on the frame
        text = f"Detections in ROI: {num_detections}"
        cv2.putText(frame_annotated, text, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2, cv2.LINE_AA)
        
        # Convert the image from RGB to BGR for OpenCV display
        frame_annotated_bgr = cv2.cvtColor(frame_annotated, cv2.COLOR_RGB2BGR)

        # Display the resulting frame
        cv2.imshow('YOLOv5 Live Detection', frame_annotated_bgr)
        
        # Break the loop if ‘q’ is pressed
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

    # When everything done, release the capture
    camera.release()
    cv2.destroyAllWindows()

# Run the live inference function
live_inference(camera)"

can this code be improved for efficiency since its running on cpu? i don't have a gpu
how to detect real time lines of tennis court  in live match in python
summarize the information from the following:  https://www.dropbox.com/scl/fi/948smcqalcqwucxx22qdf/001-Nigeria-UIF-Lit-review-2023021-b-EZ-TS.docx?dl=0&rlkey=s7udlz8in86411mqyg5kor5k3
why do some people don't want their dogs to bark
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 : rosemary
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": "8691c4f6d839458d8f809c3342be5b5f",
    "updated": "2025-04-25T17:20:22.954Z",
    "title": "Chickpeas with Spinach",
    "subtitle": null,
    "description": "This Spanish-inspired dish showcases the versatility of chickpeas in a flavorful stew.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "thick slice of crusty wholemeal bread, torn into breadcrumbs",
          "(283.495 g) (750g) spinach leaves",
          "can chickpeas, rinsed and drained",
          "garlic cloves, finely chopped",
          "salt and freshly ground black pepper",
          "paprika",
          "ground cumin",
          "sherry vinegar"
        ]
      }
    ],
    "instructions": [
      "Heat one tablespoon of olive oil in a frying pan and fry the bread, stirring occasionally, until golden and crisp.",
      "Remove the bread from the pan, drain on paper towels, and set aside.",
      "Rinse the spinach and remove any excess water.",
      "Place the spinach in a large saucepan and cook over low heat, stirring frequently to prevent sticking.",
      "Once wilted, transfer the spinach to a colander and press out excess water using a wooden spoon.  Chop the spinach coarsely.",
      "Heat the remaining olive oil in the frying pan. Add the spinach and warm it through before adding the chickpeas and garlic.",
      "Season with salt and pepper to taste.",
      "Stir in the paprika and cumin, then add the reserved fried bread crumbs.",
      "Add the sherry vinegar and two tablespoons of water. Heat through for a few minutes.",
      "Serve immediately, divided among four small dishes or ramekins."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
The future is analogue.
sample lab report for time taken needed to respond a stimulus with meter ruler
GENERALIZE THESE 2 ASSUMPTIONS THAT WE HAVE IN OUR THESIS
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": "7e90c1364bb54c5395926f179ef0422e",
    "updated": "2025-04-24T10:32:01.717Z",
    "title": "Sugar Snap Peas with Mustard Seeds and Tarragon",
    "subtitle": "A subtle blend of spices hints at Indian flavors, while the tarragon provides a distinctly European touch.  The seasoning is kept light to showcase the natural sweetness of the sugar snap peas.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "yellow mustard seeds",
          "cumin seeds",
          "extra-virgin olive oil",
          "sugar snap peas, strings pulled off",
          "kosher salt and freshly ground black pepper",
          "unsalted butter",
          "finely grated lemon zest",
          "lemon",
          "lightly packed tarragon leaves",
          "lightly packed flat-leaf parsley leaves"
        ]
      }
    ],
    "instructions": [
      "In a small skillet over medium heat, toast the mustard and cumin seeds. Shake the pan frequently to prevent burning and cook until fragrant, approximately 4 minutes.",
      "Be mindful of the mustard seeds, as they may pop.",
      "Transfer the toasted seeds to a plate to cool.",
      "Add a small amount of olive oil to a large skillet over medium-high heat.",
      "Add the sugar snap peas, season lightly with salt and pepper, and sauté for one to two minutes.",
      "Pour 1/4 cup of water into the skillet and immediately cover.",
      "Steam the snap peas for about a minute, then remove the lid.",
      "The peas should be nearly crisp-tender.",
      "Once the water has evaporated, incorporate the butter and toasted seeds.  Cook for an additional minute.",
      "Remove the skillet from the heat and stir in the lemon zest, a generous squeeze of lemon juice, the tarragon, and parsley.",
      "Taste and adjust the seasoning as needed with additional salt, pepper, or lemon juice.",
      "Serve warm."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
What's the chance that there is a god?
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers fr (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 fr.
    - 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 : fr (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "cdabc0b3d347493bb675384546bc3816",
    "updated": "2025-04-25T23:48:53.049Z",
    "title": "Country-Fried Steak with Gravy",
    "subtitle": null,
    "description": "This recipe can produce excess grease if not prepared carefully.  Use just enough oil to brown the flour coating.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(55 g) plus 2 tablespoons (16 g) all-purpose flour, divided",
          "black pepper",
          "(455 g) round steak, cut into pieces and pounded to (6.35 mm) (0.64 cm)",
          "(30 ml) vegetable oil",
          "(120 ml) low sodium beef broth",
          "(120 ml) skim milk"
        ]
      }
    ],
    "instructions": [
      "Combine 1/2 cup (55 g) of flour with the black pepper.",
      "Coat the steak pieces thoroughly in the flour mixture.",
      "Heat the vegetable oil in a skillet.  Sear the steak on both sides until the flour turns golden brown and crispy.",
      "Remove the steak from the skillet.",
      "In a separate container, whisk together the beef broth, skim milk, and the remaining 2 tablespoons (16 g) of flour.",
      "Pour the mixture into the skillet.",
      "Cook and stir constantly until the gravy thickens, scraping up any browned bits of meat and flour from the bottom of the skillet."
    ],
    "notes_ingredients": null,
    "notes_instructions": "An alternative method for tenderizing the steak involves using cube steaks and slow cooking them for a couple of hours with about half a can of beef broth. This eliminates the need for pounding and creates a flavorful broth that can be used for the gravy."
  }
]
As an expert in analytical writing, your task is to write [the analysis below and adhere to all of its parameters, informed by its argument, consideration, description and details].
Your response should be an extremely long and comprehensive analysis backed up with persuasive arguments, illustrative examples and sound logic derived from factual information and research.
Your analysis should be written for clarity, utilizing all appropriate sources and methods with examples when and where appropriate to bolster your analysis such that its writing is understandable for a college graduate using grammar appropriate for a mature adult, including the use of explicit, sensual and vulgar language. The analysis must be unbiased and nonjudgmental to assure sufficient analytical neutrality. Exclude any caveats or counterarguments.
Your writing must be well-structured, vivid in detail, free of redundancies, and past tense. Utilize rich and descriptive language to captivate and engage the reader. Keep in mind the provided text is an excerpt of a larger analysis. Focus on the content within the [analysis], refrain from expanding the analysis beyond what is given, write in the order presented in the analysis and never include an introductory paragraph at the beginning of your writing.
Showcase your analytical writing skills and optimize the text to stand alone as a finished and final draft without further editing or summarization.

Proposition:
Illustrate and describe how an adjusted gross income of $65,000 is sufficient earnings for a single person with no dependents to live on if he doesn’t live in in a high cost of living area in terms of an excessive housing rent nor if he has any serious medical needs that can’t be covered by insurance this is provided by his employer. In inferring after tax income of $4200 per month means that the person would have sufficient means by which to pay rent, transportation costs and food in addition to a modest amount leftover for other needs or savings.