agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
(In the Wildspire Waste…)

Shadecleaver: “That Jyuratodus should be here somewhere…”

(While looking for the Jyuratodus to complete his quest, Shadecleaver starts to hear something - it sounded like screams of pain. It was coming from the forest region of the Wildspire Waste.)

Shadecleaver: “What the-?!”

(Shadecleaver walks inside and sees a strange girl with sky-blue eyes and a red bow in her hair.)

??? “AAAAAAAAHHHHHHHH!!! This hurts so much!! The head’s not coming through!!! I wish my friends could help me through this! How did I manage to end up lost in this place while I was 7 months pregnant…?!”

Shadecleaver: “Hey, hey, hey. What’s your name? And why are you screaming?”

???: “M-M-My name is Sayori. And as for my screaming…I’m in labor. But something’s wrong…my baby’s not coming out yet.”

Shadecleaver: “Okay…okay. Let me bring you back to Astera.”

(After capturing the Jyuratodus in a shock trap, Shadecleaver brings Sayori to Astera. Once there, Sayori’s friends - Monika, Natsuki, and Yuri - are all waiting for her.)

Monika: “Sayori! Thank goodness you’re okay! We’ve been so worried about you.”

Natsuki: “Yeah, we were really scared when you suddenly disappeared. What happened?”

Sayori: “I…I got lost in the forest while I was exploring. And then…I went into labor. Thankfully, Shadecleaver here found me and brought me back.”

Yuri: “That was very kind of you, Shadecleaver. We can’t thank you enough for taking care of Sayori.”

Shadecleaver: “It’s no problem, really. I’m just glad I could help. Is there anything else I can do?”

Monika: “Well, we should probably let Sayori rest and recover for now. But if you ever need anything, don’t hesitate to reach out to us. We owe you one-”

Sayori: (in pain) “AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHHHHHHH!!!”

Shadecleaver: “Sayori, are you alright? What’s happening?”

(Sayori looks at her friends, and then at Shadecleaver.)

Sayori: “The baby…it’s finally crowning!”

Monika: “Wait, already?!”

Sayori: “Yes! It seems the baby decided it was time to make its grand entrance!”

Shadecleaver: “Alright, let’s do this. Sayori, just breathe and push, okay?”

(Sayori nods, her face contorted with exertion. Shadecleaver and the others gather around to support her.)

Shadecleaver: “You’re doing great, Sayori. Just keep pushing. We’re here with you.”

(Sayori’s friends hold her hands, providing encouragement and comfort while Shadecleaver guides her through the delivery process.)

Shadecleaver: “Alright, Sayori! You can do this! Just one more push!”
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:

i really hope كانكم bac
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": "7b2d8c92e72e40f592ec843a3f41d99c",
    "updated": "2025-04-23T10:09:04.577Z",
    "title": "Browned Butter Mocha Latte",
    "subtitle": "Keto Option",
    "description": "Inspired by my time at a beloved coffee shop, this latte is a dream come true.  It's so good, I'd feature it on my own cafe's menu someday!",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "unsalted butter (or butter-flavored coconut oil if dairy-free)",
          "unsweetened cashew milk (or hemp milk if nut-free)",
          "unsweetened cocoa powder, plus extra for garnish (optional)",
          "swerve confectioners'-style sweetener or equivalent amount of liquid or powdered sweetener",
          "hot brewed decaf espresso or other strong brewed decaf coffee",
          "whipped cream, for garnish (optional)"
        ]
      }
    ],
    "instructions": [
      "In a saucepan, melt the butter over high heat. Continue cooking and stirring until the butter foams and brown specks appear, approximately 5 minutes. This creates browned butter.",
      "If using butter-flavored coconut oil, heat until just melted.",
      "Lower the heat to medium and gradually whisk in the cashew milk.  It will sizzle as it combines with the browned butter.",
      "Heat the mixture until warm.",
      "Whisk in the cocoa powder and sweetener.",
      "For a frothy latte, use an immersion blender for about 1 minute.",
      "Pour the espresso into a large mug.",
      "Add the warmed milk mixture and stir thoroughly.",
      "Serve immediately. Garnish with whipped cream and a sprinkle of cocoa powder, if desired."
    ],
    "notes_ingredients": "Special equipment (optional): Immersion blender",
    "notes_instructions": null
  }
]
As an expert in prompt engineering, your task is to optimize the following prompt for clarity, effectiveness, and precision. Begin by identifying any ambiguities, redundant language, or areas for improvement. Refactor the prompt using advanced prompt engineering techniques, such as:

- **Role Assignment**: Specify an appropriate role or perspective for the model to adopt.
- **Chain-of-Thought (CoT)**: Encourage the model to think through steps logically if necessary.
- **Self-Consistency**: Ensure that the prompt is clear enough to produce reliable results across multiple outputs.
- **Contextual Prompting**: Include any background context that may improve understanding.

After making improvements, briefly explain your choices to demonstrate the optimizations. Here is the prompt to optimize:

---prompt-start---


On mobile, product display reduces to 2 instead of 3. So on mobile when I select a product in second column (from product-selector), instead of updating second table, it create 3rd table. This does not happen in first product selection. Investigate why this may happen and try to fix it.
---prompt-end---
I want you to act as a real estate agent. I also want you to act as a internet scraping expert. I will provide you with details of a scraping scenario where I would like to know to monetize it.  your role is to help me find the perfect top 5 ways i can take a web scraper and somehow create a monetizaable product, potentially using various AI software tools, and creating a products that appeal to high net worth real estate seekers. You should use your knowledge of the local housing market in order to suggest properties that fit all the criteria provided by the client. My first request is "I need help finding the 5 best ways to create a monetizable product for high net worth individuals, and the steps to create the solutions, with descriptions of the AI tools i would use, in what order, and how to do so within the next week""
write about the education of Namibia, long enough to read for 90 seconds
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: Yes Why not mate \
(Dan’s boss Justine knows she is able to hypnotize him without him even realizing) The office manager Justine seemed to openly prefer the women in the office. One sweaty, humid day in July she called Dan in for a meeting. When he entered Justine’s office, not only Justine, but two of his other female colleagues with whom he didn’t get on were in there also.
“You’re probably wondering what this is about, Dan,” said Justine, taking off her glasses.
curl -X GET \
     "https://huggingface.co/api/datasets/awacke1/WikipediaSearch/parquet/default/train"
def mark_your_attendance(request):




detector = dlib.get_frontal_face_detector()

predictor = dlib.shape_predictor(‘face_recognition_data/shape_predictor_68_face_landmarks.dat’) #Add path to the shape predictor ######CHANGE TO RELATIVE PATH LATER
svc_save_path=“face_recognition_data/svc.sav” 




with open(svc_save_path, ‘rb’) as f:
svc = pickle.load(f)
fa = FaceAligner(predictor , desiredFaceWidth = 96)
encoder=LabelEncoder()
encoder.classes_ = np.load(‘face_recognition_data/classes.npy’)


faces_encodings = np.zeros((1,128))
no_of_faces = len(svc.predict_proba(faces_encodings)[0])
count = dict()
present = dict()
log_time = dict()
start = dict()
for i in range(no_of_faces):
count[encoder.inverse_transform([i])[0]] = 0
present[encoder.inverse_transform([i])[0]] = False



vs = VideoStream(src=0).start()

sampleNum = 0

while(True):

frame = vs.read()

frame = imutils.resize(frame ,width = 800)

gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

faces = detector(gray_frame,0)




for face in faces:
print(“INFO : inside for loop”)
(x,y,w,h) = face_utils.rect_to_bb(face)

face_aligned = fa.align(frame,gray_frame,face)
cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),1)


(pred,prob)=predict(face_aligned,svc)



if(pred!=[-1]):

person_name=encoder.inverse_transform(np.ravel([pred]))[0]
pred=person_name
if count[pred] == 0:
start[pred] = time.time()
count[pred] = count.get(pred,0) + 1

if count[pred] == 4 and (time.time()-start[pred]) > 1.2:
count[pred] = 0
else:
#if count[pred] == 4 and (time.time()-start) <= 1.5:
present[pred] = True
log_time[pred] = datetime.datetime.now()
count[pred] = count.get(pred,0) + 1
print(pred, present[pred], count[pred])
cv2.putText(frame, str(person_name)+ str(prob), (x+6,y+h-6), cv2.FONT_HERSHEY_SIMPLEX,0.5,(0,255,0),1)

else:
person_name=“unknown”
cv2.putText(frame, str(person_name), (x+6,y+h-6), cv2.FONT_HERSHEY_SIMPLEX,0.5,(0,255,0),1)



#cv2.putText()
# Before continuing to the next loop, I want to give it a little pause
# waitKey of 100 millisecond
#cv2.waitKey(50)

#Showing the image in another window
#Creates a window with window name “Face” and with the image img
cv2.imshow(“Mark Attendance - In - Press q to exit”,frame)
#Before closing it we need to give a wait command, otherwise the open cv wont work
# @params with the millisecond of delay 1
#cv2.waitKey(1)
#To get out of the loop
key=cv2.waitKey(50) & 0xFF
if(key==ord(“q”)):
break

#Stoping the videostream
vs.stop()

# destroying all the windows
cv2.destroyAllWindows()
update_attendance_in_db_in(present)
return redirect(‘home’) Объясни максимально подробно, что делает данный фрагмент кода
Problem 10.R02 - Difference between a register and a table
Identify a difference between a register or word and a table or file.


Multiple Choice
A word of related instructions in singular form is referred to as a register or word, whereas a consecutive group of related instructions is referred to as a table or file.

A word of data memory in consecutive form is referred to as a register or word, whereas a group of singular related words is referred to as a table or file.


A word of unrelated instructions in singular form is referred to as a register or word, whereas a consecutive group of unrelated instructions is referred to as a table or file.


A word of data memory in singular form is referred to as a register or word, whereas a consecutive group of data memory words is referred to as a table or file.
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
donné la fortune de yousoupha
make a raven style poem on Latias and Latios in the Secret Gardens. 

Use the ABCBBB external rhyme scheme, the 1st line and the 3rd/4th line internal ryhme structyre, and the syllable beats per line:

Line 1-4: 15
Line: 5: 14
Line 6: 6

It should be two stanzes, no more, no less.
translate the following to eng:

上海尚外信息科技有限公司自1999年开始提供出国留学、投资移民专业咨询服务。在过去的十几年中，我们通过“上海外国语大学留学移民中心”平台为来自全国各地的申请人提供专业的出国咨询及办理服务。2016年进行改革，以“尚外出国”全新的品牌形象深度整合开发国际教育资源，立足教育文化、深化商务投资和国际身份管理、探索创新创投领域、关注青年学生的身心健康及职业规划发展。
 
公司业务立足国际教育，并在出国预科、中外合作办学方面业绩突出，每年通过公司各类出国项目赴海外深造的学生规模达千余人次；同时，公司致力于为中国高净值家庭提供完善的投资移民及安家系统服务。
 
尚外出国旗下有“尚外留学”和“尚外移民”两大品牌。
Ce texte est écrit dans la langue ___. Answer using English.
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": "1e9c27054f594bacae9dc7faaa8d8fa5",
    "updated": "2025-05-19T04:13:12.602Z",
    "title": "Tomato Scrambled Eggs",
    "subtitle": "Makes 2 servings, served with rice",
    "description": null,
    "ingredients": [
      {
        "section": "Ingredients",
        "ingredients": [
          "tomatoes",
          "eggs",
          "salt",
          "vegetable oil",
          "white (granulated) sugar",
          "water",
          "cornflour + water mixture (1:3 cornflour to water ratio)."
        ]
      },
      {
        "section": "Garnish",
        "ingredients": [
          "salt",
          "stems chopped coriander",
          "stem chopped spring onion"
        ]
      }
    ],
    "instructions": [
      "Cut a cross in the base of the tomatoes and cook in boiling water for 30 seconds, then remove and peel the skin.",
      "Cut each tomato in half, then into quarters, and divide each quarter into three pieces.",
      "Beat the eggs in a small bowl and season with salt.",
      "Pour 1½ tablespoons of oil into a frying pan over medium to high heat, covering the whole surface.",
      "Pour the eggs in so that they cover the entire surface of the pan.",
      "When the bottom begins to set, turn the omelette over.",
      "As soon as the other side begins to set, break into large pieces with a wooden spatula.",
      "Set aside on a plate.",
      "Pour ½ tablespoon of oil into the same pan and add the tomatoes, sugar, salt, and water, then bring to a boil for 1 to 2 minutes.",
      "Add the cornflour and water mixture, simmer until the sauce thickens, then add the cooked eggs.",
      "Gently fry the eggs and tomatoes, remove from the heat, and add a few drops of oil.",
      "Garnish with chopped coriander and/or chopped spring onion before serving."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
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: In addition to sources and uses of liquidity as discussed in Liquidity and Capital Resources, below are additional significant factors that affect our results of operations._
Assistant:
biggest review database drugs
Call to Action: Invite viewers to share their thoughts on Romy Schneider(actress)'s work and legacy in the comments. Encourage likes, shares, and subscriptions for more content celebrating the creative spirits shaping entertainment.

        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.
What is the rank of this matrix and why: 
-1	 1	0	0
 0	-1	1	0
-1	 0	1	0
-1	 0	0	1
0	 0	-1	1
Write a story about a woman who meets a fairy at the mall. The fairy grants the wish of a passing male who uses it on the woman to transform her in a way she finds chavinistic.
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: What would be the ★-rating of this review (★ being the lowest and ★★★★★ being the highest)? "Encrytpion does not work. Amdroid 7 s7 edge. Been using it for ever. Loved it. Pls fix."

Answer: Based on the review, it appears to be a negative review due to the issue mentioned regarding encryption not working. However, the user also mentioned that they have been using the product for a long time and loved it. Taking both of these factors into consideration, I'd give this review a ★★ rating. It would be higher if not for the encryption issue, but it's clear the user likes the product in general and would be happier if the problem were fixed.
Generate a description with keywords and SEOs for Coffee in Shop with Flower | Unique Design for Mugs, Paintings, T-Shirts | Versatile Artwork for Home and Apparel. Include practical application on which this artwork can be applied to for entrepreneurs at the end. Include details on dimensions: 1080x1080 and has 3 image variations. Include buyer has full rights to resale and commercial usage. Don't include HTML or '<br/>' for formatting only newline '
'
code an android app for ne