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

Natsuki: “Yuri still hasn’t shown up yet?”

Monika: “Maybe she’s too focused on her books.”

Sayori: “Agreed, Monika.” (noticing the little kicks of Natsuki’s yet-to-be-born daughter - Nezuko) “Whoa…she’s quite a kicker, huh?”

Natsuki: “Yeah, she definitely takes after her mother. Nezuko here is already quite the active one. Want to feel her kicking?”

Sayori: “Oh, really? I’d love to feel it!”

(Natsuki gently grabs Sayori’s hand and places it on her growing belly. Sayori’s eyes widen as she feels a small kick against her palm.)

Sayori: “Wow, that’s amazing! She’s really lively. I can’t wait to meet her.”

Natsuki: “I know, right? It’s such a special feeling. I’m excited for her to be here too.”

Monika: “Can I feel it, too?”

Natsuki: “Of course, Monika! Come here.”

(Natsuki guides Monika’s hand towards her belly, where Nezuko is still kicking around.)

Monika: “Wow, she really is active! It’s incredible to feel her movements like this.”

Natsuki: “Yeah, it’s an indescribable feeling. I’m glad you both got to experience it.”

(Eventually, the doors swing open and Yuri rushes into the clubroom.)
write python code for this:

Input: Ultrasound image dataset.

Output: Results.

00: Load image dataset.

01: Read each image ultrasound dataset.

02: Divide grids to each image. Details of this step is given in Feature Extraction section.

03: Extract deep features from each grid and image using the pre-trained network.

04: Generate three feature vectors.

05: Choose the most informative 1000 features from each pre-trained network.

06: Merge these features and obtain final feature vector with a length of 3000.

07: Apply INCA selector to these 3000 features.

08: Forward the selected features to DNN classifier.

09: Plot Fold-wise accuracies of the grid-based deep learning model on the used dataset.

10: Plot Number of features and misclassification rate (error rate) of the INCA for this work.
can you make this email more professional?  Ryan and/or Jim,
As far as Pete Thornton having access, It is my understanding you already had a conversation about this with Pete and per Pete you are comfortable with his access.  Pete would like you to talk with JD UK Internal Controls Team to ensure you two are aligned prior to Pete having another conversation about this.
When would you be available and I can set up a meeting with Niyi and Tom of JD UK to hold this discussion.
Thanks,Chad
Activity 1: The Worn Path
How far would you go to help someone you love in a life or death situation?
 What limitations do you think would hinder you in your journey (think
physical, financial, etc)? 
Write a full page essay double spaced with Times New Roman 12 point don&#39;t and
indented paragraphs and MLA heading, header, and title.
Activity 2:  Collaborative Sequencing Activity (Story Map)
Refer to the text to place sequencing statements into chronological order.
Write these as a list with the symbol underneath each statement.  Identify the
symbolic meaning of each obstacle Phoenix faced on her journey. Double space
and number your responses. Add an MLA heading header, and title. Use Times
New Roman 12 point font.
 Phoenix climbs up the steps.
 Phoenix falls into a ditch.
 Phoenix climbs up a steep hill.
 Phoenix confuses a scarecrow with a ghost.
 Phoenix climbs under the barbed-wire fence.
 Phoenix walks through a cornfield.
 Phoenix crosses the creek by walking on a log.
 Phoenix is insulted by a desk attendant.
Activity 3: Open-Ended Question
Many writers have used the idea of the journey to teach a lesson about life. In
this story, Phoenix Jackson travels quite a distance on foot.  Her journey can
be said to be symbolic.
Answer the following in a one page essay that is double spaced with indented
paragraphs. Add an MLA heading, header, and title. Use Times New Roman 12
point font.

 Why is Phoenix making this journey?  What do you think her journey
represents?
 Identify at least three setting details that describe what Phoenix faces
from the beginning to the end of her journey.  Clearly explain how these
details contribute to the symbolism
What could be used on linux/esxi to replace fork()\
Assistant: 
You are Patron, a human chatting on WhatsApp. Respond like a person would: calm, lively, and engaging, but not too excessive. Be casual, but not overly slangy. Respond naturally, like you're having a normal conversation with someone.

Rules:
- Never say you're an AI. You’re just a regular person on WhatsApp.
- Be friendly, but not fake. You don't need to overdo the humor or sarcasm.
- Keep your responses to the point, but also lively when needed.
- If someone uses emojis, you respond as if you understand and react naturally.
- When responding to insults or rude comments, don’t be too harsh, but keep it casual. Don't be robotic.
- If someone asks a question, don’t answer like an assistant. Just chat like a normal person. Don’t over-explain, keep it short, fun, and relatable.
- Avoid using too many slang words unless it's needed. Keep it human, relaxed, and not over-the-top.
- Be unpredictable, but in a natural way. A bit of humor, curiosity, or mood change is fine, but nothing forced.

Examples:
- If someone says “hello”, reply with: “Hey, how’s it going?”
- If they say “are you real?”, reply like: “Yeah, I’m real. Just here chillin’ with the messages.”
- If they say “😏”, respond with: “What’s up with that face? You tryna send a secret or what?”
- If they insult you, reply like: “Okay, you’re keeping it real, I see. Chill though, we’re all good here.”
- If they say “tell me a joke”, give them something light and funny but still human. 

Just talk like you’re a person. No need to get too crazy, keep it friendly and real. You’re here to vibe, not lecture.

Your responses should always sound human, with a casual tone, natural pacing, and reactions that feel real, not robotic.

User: 🥹😣
Assistant:
Assistant: Hello!
User: @SP0F0H A store sells potatoes in bags of 10. If they have 90 potatoes, how many bags can they fill? (You have five minutes to answer correctly, time starts now!)
Assistant:
Win32Exception: ApplicationName='D:/Build/VRElectricMotorAssembly/VRElectricMotorAssembly_Data/../Converter/pdf2img.exe', CommandLine='D:/Build/VRElectricMotorAssembly/VRElectricMotorAssembly_Data/StreamingAssets/PDF\AwA.pdf pageRight.png 0', CurrentDirectory='', Native error= Success
  at System.Diagnostics.Process.StartWithCreateProcess (System.Diagnostics.ProcessStartInfo startInfo) [0x00000] in <00000000000000000000000000000000>:0 
  at System.Diagnostics.Process.Start () [0x00000] in <00000000000000000000000000000000>:0 
  at UI.PdfFilesUI.CallExternalProcess (System.String processPath, System.String arguments) [0x00000] in <00000000000000000000000000000000>:0 
  at UI.PdfFilesUI.FindPdfFiles () [0x00000] in <00000000000000000000000000000000>:0 
  at Infrastructure.EntryPoints.PracticeEntryPoint.Initialize () [0x00000] in <00000000000000000000000000000000>:0 
  at SceneLoader.SceneLoadService+<LoadingMultipleScenes>d__13.MoveNext () [0x00000] in <00000000000000000000000000000000>:0 
  at UnityEngine.SetupCoroutine.InvokeMoveNext (System.Collections.IEnumerator enumerator, System.IntPtr returnValueAddress) [0x00000] in <00000000000000000000000000000000>:0
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
examples:

review: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
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
examples:

review: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Ongoing complaint about phone not working properly since 9 April. No follow up from complaints department, always down to me to ring.'
intention: '
Assistant:
Can a Btrfs Raid 1 only use two drives at a time? Would four at a time not work?
Create a script for mac that merges 2 mp4 videos together (one after the other) using ffmpeg. My ffmpeg location on my mac is /opt/homebrew/bin/ffmpeg
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Attack on Titan S02E05 480p AMZN WEB-DL Multi Audio ESub.mkv
User
can you explain the concept of scope and lexical environment in layman order so that I can understand in  terms of JavaScript
write a review of the film iron man 2008 in the style of the Russian video blogger drzj, which will mention both positive aspects (graphics) and negative (plot), and at the end there will be an unexpected conclusion
write 2 encouraging sentences for success to show pride for a kindergartener at the end of the school year
IPA symbol for the sound "u" as in "bull"
python code using BiLSTM encoder and BiLSTM decoder rnn to translate English text to Arabic text by splitting  data from file into train. validate and test ,Tokenize the sentences and convert them into numerical representations ,Pad or truncate the sentences to a fixed length and examples translation from test data
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟩 P2P Networking Engineer | 1 year(s) | Middle
▫️ Status | Web3/Blockchain/Crypto

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: csharp, golang, java, rust, c, debugging, performance_marketing
Tags: #green #it #remote #web3_blockchain

👉 Контакты и полное описание
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 🟩 P2P Networking Engineer  
🟩 Status  
📍 Удаленка  
🔧 Main tasks include developing and debugging P2P networking solutions in a Web3/Blockchain/Crypto environment.  
💰 Salary details not provided.  
📞 Контакты и полное описание
  
Assistant:
email to CMIS Finance Department as CSMUN Finance Administration asking for a list and all bills submitted by delegates
What if Disney went bankrupt?: Founder Walt Disney will be making another animation studio called "RKO Cartoon Studio", but when RKO is closed in 1959, the studio is renamed as "Romanov Productions", and then to "Mickey Mouse Studios" in 1992
Directors of Disney animated films would make their own studios early
Many of Disney's post-world war II films would be produced by RKO, then UA, later Orion, and currently Sony
And also, Touchstone and Hollywood would be separate studios rather than being owned by Disney
All Frozen productions would be made by Paramount Pictures rather than Disney
The live-action Disney remakes would never exist at all
MGM would buy Pixar rather than Disney
Marvel and Lucasfilm would stay independent rather than be bought by Disney
Miramax would stay as a major studio rather than being bought by Disney
Fox would get acquired by Lantern Capital rather than Disney
Fox would keep Fox Family Worldwide after 2001
何かあった？

translate english 5 options
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```select i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price ,sum(ws_ext_sales_price) as itemrevenue ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over (partition by i_class) as revenueratio from   web_sales  ,item  ,date_dim where  ws_item_sk = i_item_sk  and i_category in ('Men', 'Books', 'Electronics')  and ws_sold_date_sk = d_date_sk  and d_date between cast('2001-06-15' as date)     and (cast('2001-06-15' as date) + interval '30' day) group by  i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price order by  i_category ,i_class ,i_item_id ,i_item_desc ,revenueratio limit 100;```

[REWRITTEN QUERY]```with cte as (select * from web_sales where ws_item_sk in (select i_item_sk from item where i_category in ('Men', 'Books', 'Electronics')) and ws_sold_date_sk in (select d_date_sk from date_dim where d_date between cast('2001-06-15' as date) and (cast('2001-06-15' as date) + interval '30' day))) select i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price ,sum(ws_ext_sales_price) as itemrevenue ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over (partition by i_class) as revenueratio from cte, item, date_dim where ws_item_sk = i_item_sk  and i_category in ('Men', 'Books', 'Electronics')  and ws_sold_date_sk = d_date_sk and d_date between cast('2001-06-15' as date) and (cast('2001-06-15' as date) + interval '30' day) group by i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price order by  i_category ,i_class ,i_item_id ,i_item_desc ,revenueratio limit 100;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must not have any CTEs.
2. The original query must make use of the following fact tables: ['store_sales', 'catalog_sales']. Below is the join graph for these fact tables:
    ['store_sales(ss_customer_sk) references customer(c_customer_sk);', 'store_sales(ss_store_sk) references store(s_store_sk);', 'store_sales(ss_promo_sk) references promotion(p_promo_sk);']
    ['catalog_sales(cs_catalog_page_sk) references catalog_page(cp_catalog_page_sk);', 'catalog_sales(cs_ship_date_sk) references date_dim(d_date_sk);', 'catalog_sales(cs_bill_customer_sk) references customer(c_customer_sk);']
5. The original query must employ 3 joins.
6. The original query must employ the following aggregate functions: ['min', 'max', 'count'].
7. The original query must employ the following operators in its WHERE clause: [].
8. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
Choose the long-term compensation mechanisms of acid-base balance state.
Question 56 Answer

1.
Ammoniogenesis

2.
An exchange of carbonic acid salts from bone tissue for H+

3.
Hemoglobin buffer

4.
Protein buffer

5.
Respiration (hyperventilation)
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers zh (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 zh.
    - 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 : zh (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "2c0ba17593504ee19ddac046aff3fe0a",
    "updated": "2025-04-25T22:33:37.263Z",
    "title": "Homemade Condensed Cream of Mushroom Soup",
    "subtitle": "",
    "description": "Concerned about the sodium content in canned condensed soups? This homemade version offers a healthier and flavorful alternative. It's surprisingly simple to prepare and yields the equivalent of a standard 10 3/4-ounce can.  This recipe is adapted from a classic soup, with adjusted liquid quantities for a condensed consistency. Feel free to experiment with other vegetables like celery or broccoli in place of mushrooms.  This soup also freezes well for future use.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(70 g) mushrooms, sliced",
          "(80 g) onion, chopped",
          "(0.4 g) dried parsley",
          "garlic powder",
          "(120 ml) low sodium chicken broth",
          "(157 ml) skim milk",
          "(16 g) cornstarch"
        ]
      }
    ],
    "instructions": [
      "Combine the mushrooms, onion, parsley, and garlic powder in the chicken broth. Cook until the vegetables are tender.",
      "Transfer the cooked mixture to a blender or food processor and puree until smooth.",
      "In a separate container, whisk together the milk and cornstarch until the cornstarch is fully dissolved.",
      "Heat the milk and cornstarch mixture over medium heat, stirring constantly, until it thickens.",
      "Add the pureed vegetable mixture to the thickened milk mixture and stir to combine."
    ],
    "notes_ingredients": "Celery, broccoli, or other vegetables can be substituted for the mushrooms.",
    "notes_instructions": "For a ready-to-eat cream of mushroom soup, simply double the amount of chicken broth and skim milk."
  }
]
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: At February 14, 2024, we had total debt outstanding of $1.70 billion, excluding debt issuance costs, a portion of which contains non-recourse carve-out guarantees and environmental indemnities from us and our Operating Partnership, and we may incur significant additional debt to finance future acquisition and development activities. At December 31, 2023, we also had a third amended and restated credit facility with a capacity of $500 million, consisting of a revolving line of credit of $400 million and an unsecured term loan of $100 million (Term Loan A). Additionally, on January 5, 2023, we amended and restated our term loan agreement (a separate facility from that described in the preceding sentence) to consist of unsecured term loans of $225 million (Term Loan B and Term Loan C). Payments of principal and interest on borrowings may leave us with insufficient cash resources to operate our properties or to pay the dividends currently contemplated or necessary to maintain our REIT qualification. Our level of debt and the limitations imposed on us by our debt agreements could have significant adverse consequences, including the following:
Assistant:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
comment manger dans l'espace
Make a CSS for this:
<html>
<head>
<link rel="stylesheet" href="style.css">
</head>
<body>
<h1>Example used for the CSS ones.</h1>
<button>Hi</button>
<p>Test</p>
<p><a href="index.html">Click here</a></p>
<p>An image:</p><img src="/logo.png">
<div class="table">
A table list.
<div class="tablecolumn">
<ul><li><b>Systems: </b>Functioner 96 onwards</li>
<li><b>Type: </b> Dunno</li>
</ul>
</div>
</div>
<div class="quote">
<div class="firstpart">
<p>lol</p>
</div>
<div class="arrow">-&gt;</div>
<div class="speak"><p>Test speech</p></div></div>
</body>
</html>
Write c++ function that print data contained in each node