agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le type, 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 :

    Le type de la recette est un plat principal.

    json
    {"category":"main","title":"Penne chicken marsala ","ingredients":"For the recipe : chicken tenders, halved,salt and freshly ground pepper,superfine brown rice flour,olive oil,diced prosciutto (about 2½ ounces),sliced button mushrooms,large cloves garlic, finely minced or pressed,sweet marsala,low-sodium chicken broth,gluten-free penne,minced fresh parsley,shredded daiya vegan mozzarella (optional)","instructions":"Pat the chicken tenders dry, then sprinkle with salt and pepper. Dredge the chicken in brown rice flour placed in a shallow dish and set aside.\nBring a pot of water to a boil for the pasta.\nHeat 2 tablespoons of olive oil over medium-high heat until it begins to ripple. Add the prosciutto and cook for 2 minutes, stirring frequently, until it starts to crisp.\nAdd the mushrooms and garlic, stirring often, and cook for 8 minutes, or until the mushrooms have released most of their juices and begin to brown. Transfer the mixture to a bowl and set aside.\nAdd another 2 tablespoons of olive oil to the pan and heat until almost smoking. Cook half of the chicken for 2 minutes per side, until golden brown and thoroughly cooked. Transfer to the bowl with the mushrooms. Add the remaining tablespoon of olive oil to the pan and cook the rest of the chicken until golden brown and cooked through. Transfer to the bowl with the mushrooms.\nPour in the Marsala and broth, bring to a simmer, reduce the heat to medium, and deglaze the pan, scraping up all the browned bits from the bottom with a wooden spoon. Cook for about 3 minutes to reduce slightly.\nReturn the chicken and mushrooms to the pan with the sauce. Cook over medium-low heat for 7 minutes, until the chicken is heated through and the sauce has thickened slightly.\nMeanwhile, cook the pasta according to the package instructions.\nDrain the pasta, then toss it with the chicken, mushrooms, and sauce. Serve garnished with a sprinkle of minced parsley and vegan mozzarella.","region":"IT"}
System: 
User: Generate a detailed and realistic news article about an event in the Macroeconomic Developments domain, focusing on the Specialty Chemicals industry, and located in United Kingdom. The article event should have a neutral impact on stock prices and highlight the broader economic or market implications. The article should be 225 words long.
Assistant:
You're an AI who is supposed to order the storage of the AI's memory. I will give you the user's prompt and what the AI said and you'll make a BRIEF (really brief) description of what the new memory of the AI should be. NOTHING ELSE, just the description, a few words.
**USER'S PROMPT:**
anne frank vs rosa parks who winning
**AI's answer:**
Anne Frank and Rosa Parks are two iconic figures in history, each representing different struggles and movements. 

Anne Frank was a Jewish girl who became a symbol of the Holocaust through her diary, which documented her life in hiding during World War II. Her story highlights the horrors of war, persecution, and the resilience of the human spirit.

Rosa Parks, on the other hand, is known for her pivotal role in the Civil Rights Movement in the United States. Her refusal to give up her seat on a segregated bus was a courageous act that sparked a larger movement for equality and justice.

In terms of "winning," it's important to recognize that their contributions were significant in very different contexts. Neither "wins" over the other; rather, both are crucial in understanding history and the fight for human rights. Their legacies serve as powerful reminders of the struggles against oppression and the importance of standing up for what is right. 

Ultimately, comparing them isn't about victory but about recognizing their profound impacts on society and history.
is there a way to diable the hoover cad on tableau
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: Ankidroid Decimal Intervals under 4 secs Not Allowed - Giving Error'
intention: '
Assistant:
Assistant:
A patient ckd on hemodialysis with s.iron in normal range 5.5 but high s.ferritiin 660
PS F:\yolo8v> & f:/yolo8v/.venv/Scripts/python.exe f:/yolo8v/pgp.py
Ultralytics 8.3.57 � Python-3.11.9 torch-2.5.1+cu118 CPU (AMD Ryzen 5 2600 Six-Core Processor)
Model summary (fused): 168 layers, 3,005,843 parameters, 0 gradients, 8.1 GFLOPs

PyTorch: starting from 'F:\yolo8v\runs\detect\train3\weights\best.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 5, 8400) (5.9 MB)
requirements: Ultralytics requirements ['onnx>=1.12.0', 'onnxslim', 'onnxruntime'] not found, attempting AutoUpdate...
requirements: ❌ AutoUpdate skipped (offline)
ONNX: export failure ❌ 0.0s: No module named 'onnx'
Traceback (most recent call last):
  File "f:\yolo8v\pgp.py", line 11, in <module>
    model.export(format="onnx")
  File "F:\yolo8v\.venv\Lib\site-packages\ultralytics\engine\model.py", line 738, in export
    return Exporter(overrides=args, _callbacks=self.callbacks)(model=self.model)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "F:\yolo8v\.venv\Lib\site-packages\ultralytics\engine\exporter.py", line 390, in __call__
    f[2], _ = self.export_onnx()
              ^^^^^^^^^^^^^^^^^^
  File "F:\yolo8v\.venv\Lib\site-packages\ultralytics\engine\exporter.py", line 170, in outer_func
    raise e
  File "F:\yolo8v\.venv\Lib\site-packages\ultralytics\engine\exporter.py", line 165, in outer_func
    f, model = inner_func(*args, **kwargs)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "F:\yolo8v\.venv\Lib\site-packages\ultralytics\engine\exporter.py", line 483, in export_onnx
    import onnx  # noqa
    ^^^^^^^^^^^
ModuleNotFoundError: No module named 'onnx'
Which captcha provider is the kost popular? Funcap? Recap? Hcap?
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: hot xion
In Pokémon universe if Canon and Official style Plusle and Minun from 2 Pawmo, by using (Genetically manipulation or Wished by Jirachi) choose to better method creation from 2 Pawmos
How would you succinctly summarize the main points of the article 'The Impact of Project-Based Learning on Student Engagement and Achievement' in 2-3 sentences, focusing on key findings and implications for educational practice?
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[DB]Shinmai Maou no Testament_-_SP02_(10bit_BD1080p_x265).mkv
Send only season number from below text like 01, 02, 03.etc without any extra text.

The Red Ranger Becomes an Adventurer in Another World S01E02 [Hindi]_1080P FHD.mp4
(It had been 3 months since Sayori gave birth to her daughter - Sky. Even though she had only been away for a few months, the rest of the literature club were worried about her - and didn't know that their friend was now a mother. But one day, Sayori brought her newborn daughter to the club - even if Natsuki was 5 months pregnant with her son, who she named "Mizutsune". But even though Yuri and Monika knew about Natsuki's pregnancy, Sayori didn't.)
解释以下代码含义：package com.highcom.spark


import org.apache.lucene.analysis.TokenStream
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute
import org.apache.spark.mllib.feature.{HashingTF, IDF, IDFModel}
import org.apache.spark.{SparkConf, SparkContext}
import org.wltea.analyzer.lucene.IKAnalyzer
import org.apache.spark.mllib.clustering.KMeans
import org.apache.spark.mllib.linalg.Vector
import org.apache.spark.rdd.RDD
import org.apache.spark.mllib.clustering.KMeansModel
import java.sql.{Connection, DriverManager, PreparedStatement}

import scala.collection.mutable.{ArrayBuffer, ListBuffer}
import scala.util.control.Breaks._

object avgSpark {
  //定义连接对象
  var conn:Connection = null

  //定义连接数据库的方法
  def dbCon():Unit = {
    val url = "jdbc:mysql:///aolin?useUnicode=true&characterEncoding=UTF8&serverTimezone=UTC"
    val driver = "com.mysql.cj.jdbc.Driver"
    val username = "root"
    val password = "root"
    try{
      Class.forName(driver)
      conn = DriverManager.getConnection(url,username,password)
    }catch {
      case e:Exception =>e.printStackTrace()
    }
  }

  //定义处理完后的数据 进入插入功能
  def avdb(uid:String,keywords:String,typeId:Int):Unit= {

    val statement = conn.createStatement()
    val sql = "insert into avdata(userId,keywords,type) values (?,?,?)"
    val pstmt:PreparedStatement = conn.prepareStatement(sql)
    pstmt.setString(1,uid)
    pstmt.setString(2,keywords)
    pstmt.setInt(1,typeId)
    pstmt.execute()
    println("插入数据完成")
  }
  //主函数
  def main(args: Array[String]): Unit = {
    //调用数据库连接函数
    dbCon()
    //创建spark应用
    val conf = new SparkConf().setAppName("Simple Application").setMaster("local")
    val sc = new SparkContext(conf)
    val rdd = sc.textFile("D:\\ideaworkspace\\sparkworkspace\\mySparkProject\\data\\advdata1_small.txt")
    rdd.collect.foreach(println)

  }
}
I'm setting homework on forces for my students. The main focus is F=ma but what are some challenge questions I could set at the end for those who find it too easy? Can you think of some common misconceptions or brain teasers related to forces?
write me a Title and meta description for my soap website
Which kinds of software would neural networks be unsuitable for?
i have loss that can return zeros, i want somehow ignore this in mean calculation
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: A number of our lessees must obtain licenses, consents or approvals in order to import or operate the aircraft or comply with the leases. These include consents from governmental or regulatory authorities for certain payments under the leases and for the import, export or deregistration of the aircraft. Subsequent changes in applicable law or administrative practice may increase such requirements and a governmental consent, once given, might be withdrawn. Consents needed in connection with future re-leasing or sale of an aircraft may not be forthcoming. Any of these events could adversely affect our ability to re-lease or sell aircraft. None
Assistant:
What are the ranks and positions of nurses
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": "bff26ce3a8834c80b2e6f1f96c63daa4",
    "updated": "2025-05-17T01:43:55.054Z",
    "title": "Jollof Rice",
    "subtitle": null,
    "description": "Ghana and Nigeria have long debated the origins of this dish, each claiming to have the best version. However, this flavorful recipe actually traces its roots back to Senegal.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "roma tomatoes, chopped",
          "red bell pepper, chopped",
          "habanero chile pepper or sweet pepper, washed and seeded",
          "olive oil",
          "onion, chopped",
          "garlic cloves, chopped",
          "grated ginger",
          "curry powder",
          "smoked paprika",
          "dried rosemary",
          "dried thyme",
          "bay leaves",
          "salt",
          "black pepper",
          "brown rice",
          "vegetable stock"
        ]
      }
    ],
    "instructions": [
      "Combine the tomatoes, red bell pepper, habanero, and half of the chopped onion in a small bowl.",
      "Heat the olive oil in a large pot over medium heat. Add the remaining half of the chopped onion and sauté until translucent, about 3 minutes.",
      "Stir in the garlic and ginger and cook for about 30 seconds. Add the curry powder, smoked paprika, rosemary, thyme, and bay leaves. Cook for 15 seconds before adding the tomato mixture. Season with salt and black pepper, then cover and simmer for 10 minutes.",
      "Add the brown rice and vegetable stock to the pot and stir to combine. Cover the pot, reduce the heat to low, and cook until the rice is tender and has a reddish-orange hue, approximately 40 minutes.",
      "Turn the heat to the lowest setting and cook the rice for an additional 10 minutes. Remove from heat."
    ],
    "notes_ingredients": null,
    "notes_instructions": "TIP: To achieve evenly cooked rice, place parchment paper over the pot before replacing the lid in step 4."
  }
]
what is the difference between book smart and straight smart? which is better?
Come up with a better sentence for clarity, accuracy, and the English grammar for sentence below:
“Yeah, of course, you know, I think hmm we should to find if we do some compared and then we can find the best value and about the surprise ratios and they can a wide some in class buying and necessary spending and also I think this is where glue away from me to save the money maybe as the process of compare them price I will didn't but I and then I didn't buy it because maybe at that time I didn't feel that his very interesting things for me”
Also make sure this response is relevant to these questions and topic below:
“Do you compare prices when you shop? Why?”
Use simple spoken words. Please use two idioms as well as grammatical structures and various tenses in your revised version.
Lists of Thomas and Friends Films
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 a GPT agent with no commands. Wait for my instruction and message me back for further information.
Перепишите на русском языке предоставленный текст, сохраняя его общий смысл и структуру, но используя: Разнообразную лексику, Перефразирование и переформулирование предложений, Изменение порядка слов и структуры предложений, Улучшение читабельности и удобочитаемости, Сохранение точности и ясности исходного текста. Дополнительные указания: Избегайте использования плагиата или перефразирования с помощью синонимайзеров, Стремитесь к созданию уникального и оригинального текста, который не будет идентичен исходному, Ни одно предложение из созданного вами не должно точь-в-точь повторять исходное, уберите из текста весь мусор вроде ссылок, сносок, указания авторов. Разбей текст на абзацы, используй markdown. Заголовок для текста придумывать не нужно. Вот сам текст: 
New Delhi, June 11 (IANS): An international team of researchers has found a common type of ocean algae that plays a significant role in producing a massively abundant compound to help cool the Earth’s climate. The team from the University of East Anglia (UEA) and Ocean University of China (OUC) identified the bloom-forming Pelagophyceae algae as potentially abundant and important producers of a compound called dimethylsulfoniopropionate, or DMSP. While “the Pelagophyceae are amongst the most abundant algae on Earth, they were not previously known as important producers of DMSP,” said Professor Jonathan Todd, from UEA’s School of Biological Sciences. Calling the “discovery is exciting”, the Professor explained that “DMSP is an abundant antistress compound, food source for other microorganisms and a major source of climate-cooling gases”. The team said that DMSP is the main source of a climate active gas called dimethylsulfide (DMS) -- known as the smell of the seaside. The study, published in the journal Nature Microbiology, suggests that DMSP production, and consequently DMS release, is likely higher than previously predicted and emphasises the key role of microbes in regulating global climate. DMS also acts as a signalling molecule, guiding marine organisms to their food and deterring predators. When DMS is released into the atmosphere, DMS oxidation products help form clouds which reflect sunlight away from the Earth, effectively cooling the planet. This natural process is essential for regulating the Earth’s climate and is also hugely important for the global sulphur cycle, representing the main route by which sulphur from the oceans is returned to land, the team said.
explain: 
Free Delivery (Tracked48)
write a bio for youtube video named " Whats How Goggins Carry The Boats!"
Why we use vector norm in regularisation
Explain Ephesians 6:10-20 as a Bible scholar
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: Write a sentence not in English.
Answer: La primavera es una estación del año maravillosa en la que la naturaleza renace, las flores comienzan a florecer y los días se vuelven más cálidos y largos, lo que nos permite disfrutar de más tiempo al aire libre y también apreciar la belleza que nos rodea en cada rincón, desde el aroma de las flores hasta el canto de los pájaros.

Translation: Spring is a wonderful season of the year in which nature is reborn, flowers begin to bloom, and days become warmer and longer, allowing us to enjoy more time outdoors and also appreciate the beauty that surrounds us in every corner, from the fragrance of flowers to the singing of birds.
Write a forum convo where Channel 4 begin running a 15 second spot showing a animated hedgehog falling into a gooey mud volcano, no context, seemingly to promote something of theirs, considering a mud splat forms the logo, Maybe a new look,
Send only season number from below text like 01, 02, 03.etc without any extra text.

PanchMahal-24542.xlsx
I have a licensed Microsoft Office on a laptop in one laptop. Can I use the same license on another laptop? Tell me if there's a heck.
what does donald trump and mussolini have in common