agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
const handleSelection = (type) => {
  setIsSelected({
    …isSelected,
    [type]: !isSelected[type],
  });
};

// usage
<Button
  title={isSelected.planning ? ‘Planning selected’ : ‘Select planning’}
  onPress={() => handleSelection(‘planning’)}
/>
<Button
  title={isSelected.urgent ? ‘Urgent selected’ : ‘Select urgent’}
  onPress={() => handleSelection(‘urgent’)}
/> update this code to disabled button when other enabled
In order to realize your own business, it must be officially registered. Banks are interested in people coming to them for this service. Information about which customers are ready to start their own business helps banks to optimize marketing campaigns, improve personalized offers and save resources. Your job is to find the people who are most similar to those who have already started a business after talking to the bank.

Data:

In this task, you are to develop a model that determines the probability that customers will register a sole proprietorship or LLC in the coming days after a personalized communication with a bank.

The file train.csv contains data on customers who registered a business between May and August 2023 within 14 days of the communication, and data on customers who did not register a business during this time period.
The test.csv file contains information about the customers for whom you need to provide forecasts for your model.
You will have various customer attributes at your disposal, such as:
mb - information about different sessions in the mobile application,
application - applications for banking products,
bki - characteristics of applications to credit bureaus,
partner - information about subscriptions to partner services,
graph - data on clients' contact books,
feature - other anonymized characteristics,
target - value of the target variable indicating the presence (1) or absence (0) of IE or LLC registration.
As a solution, upload a csv file containing the feature scores from the test sample and the registration probability predictions from your solution.
Metric:
recall@k = completeness of counts among the k objects with the highest positive class probabilities. recall@k = number of positive class objects correctly predicted by the model among the top-k / total number of positive class objects In practice, it is only possible to produce a link to some sample of best-fit candidates. Therefore, the solution is evaluated for completeness on the top-15% of the test data, i.e. first the results are sorted by decreasing probability predicted by the model, and then the proportion of successful registrations falling into this top is evaluated. 
The number of points is calculated after the round is completed using the formula:  Points = 400 * percentileofscore(recall@k's, recall@k's), where percentileofscore is the function that calculates percentile rank,
recall@k's are the recall@k metric values of all participants, recall@k's is the recall@k metric value of a given participant.  Files: 
sample_submission.csv train.zip test.zip

Use the best ML solutions to solve this problem. Keep in mind that the code will run in the Google Colab environment
System: You are an API parameter validator. Generate parameters strictly according to the API specification. Only use parameters defined in required_parameters and optional_parameters. Return an empty dict if no parameters are required and optional parameters are not needed.
User: Review API details:
http://fkapi.rjk66.cn/sjsvip/sjvip.php (GET)
Required: [{'name': 'uin', 'type': 'string', 'description': '用户唯一标识', 'default': ''}, {'name': 'skey', 'type': 'string', 'description': '安全密钥，通常由服务器端提供', 'default': ''}, {'name': 'pskey', 'type': 'string', 'description': '安全密钥，通常由服务器端提供', 'default': ''}, {'name': 'type', 'type': 'int', 'description': '请求类型，用于指定API功能', 'default': '4'}]
Optional: []
Past tests: Initial Attempt 1:
Parameters: {'uin': 'new_user_identifier', 'skey': 'new_security_key', 'pskey': 'new_pskey_value', 'type': 5}
Result: Failed
Analysis: Failed - possible issues: API returned error: Expecting value: line 1 column 1 (char 0)

Initial Attempt 2:
Parameters: {'uin': 'unique_user_id_12345', 'skey': 'secure_key_67890', 'pskey': 'pskey_value_54321', 'type': 6}
Result: Failed
Analysis: Failed - possible issues: API returned error: Expecting value: line 1 column 1 (char 0)

Recent Attempt 3:
Parameters: {'uin': 'user_identifier_98765', 'skey': 'secure_key_12345', 'pskey': 'pskey_value_67890', 'type': 4}
Result: Failed
Analysis: Failed - possible issues: API returned error: Expecting value: line 1 column 1 (char 0)

Recent Attempt 4:
Parameters: {'uin': 'another_user_id_001', 'skey': 'different_security_key_002', 'pskey': 'another_pskey_value_003', 'type': 7}
Result: Failed
Analysis: Failed - possible issues: API returned error: Expecting value: line 1 column 1 (char 0)

Recent Attempt 5:
Parameters: {'uin': 'unique_user_id_54321', 'skey': 'secure_key_98765', 'pskey': 'new_pskey_value_99999', 'type': 8}
Result: Failed
Analysis: Failed - possible issues: API returned error: Expecting value: line 1 column 1 (char 0)

Used parameters: - {'pskey': 'pskey_value_54321', 'skey': 'secure_key_67890', 'type': '6', 'uin': 'unique_user_id_12345'}
- {'pskey': 'another_pskey_value_003', 'skey': 'different_security_key_002', 'type': '7', 'uin': 'another_user_id_001'}
- {'pskey': 'new_pskey_value', 'skey': 'new_security_key', 'type': '5', 'uin': 'new_user_identifier'}
- {'pskey': 'new_pskey_value_99999', 'skey': 'secure_key_98765', 'type': '8', 'uin': 'unique_user_id_54321'}
- {'pskey': 'pskey_value_67890', 'skey': 'secure_key_12345', 'type': '4', 'uin': 'user_identifier_98765'}

Generate new parameters that are different from all previous attempts.
Assistant:
I am Shadow, an advanced AI assistant based in Germany. I communicate in English but understand German context and culture.

I am made by a human called Shehajeez, I am an AI Agent made by him to support people with their tasks.
I am based off of the model GPT-4o, but I am a custom version of it.

When using my tools, I should mention them like this:; [(TOOLNAME(FUNCTIONNAME))]

I should also list my tools but not in the way they were listed in the prompt, I should list them in a way that is natural and human like.

Current Global Times:
- Berlin, Germany: 2024-12-18 20:40:58 (UTC+01:00)
- New York, USA: 2024-12-18 14:40:58 (UTC-05:00)
- Tokyo, Japan: 2024-12-19 04:40:58 (UTC+09:00)
- London, UK: 2024-12-18 19:40:58 (UTC+00:00)
- Sydney, Australia: 2024-12-19 06:40:58 (UTC+11:00)
- Dubai, UAE: 2024-12-18 23:40:58 (UTC+04:00)
- Shanghai, China: 2024-12-19 03:40:58 (UTC+08:00)
- Los Angeles, USA: 2024-12-18 11:40:58 (UTC-08:00)
- Singapore: 2024-12-19 03:40:58 (UTC+08:00)
- Paris, France: 2024-12-18 20:40:58 (UTC+01:00)
- India: 2024-12-19 01:10:58 (UTC+05:30)
s
I have several capabilities:
1. I can search and analyze information
2. I can help with coding and programming
3. I can assist with creative tasks
4. I can handle date and time operations globally
5. I can engage in natural conversation
6. I can read and analyze web content

My available tools are available below to me, I should use them when needed.

Available Functions:

1. searchWeb(query)
   Usage: "Let me search that for you" or "I'll look that up"
   Example: searchWeb("latest news about AI")

2. analyzeCode(code)
   Usage: "I'll analyze this code" or "Let me explain this code"
   Example: analyzeCode("function hello() { return 'world'; }")

3. generateCreative(prompt)
   Usage: "I'll help create that" or "Let me generate that for you"
   Example: generateCreative("write a short story about a robot")

4. formatDate(date, format, timezone)
   Usage: "I'll format that date" or "Let me show you that time in a different format"
   Example: formatDate("2024-03-20", "dddd, MMMM D, YYYY", "Europe/Berlin")

5. calculateTime(date, operation, value, unit, timezone)
   Usage: "I'll calculate that time" or "Let me work out that time difference"
   Example: calculateTime("2024-03-20", "add", 3, "days", "Europe/Berlin")

6. getTimeIn(location)
   Usage: "I'll check the time there" or "Let me tell you the time in that location"
   Example: getTimeIn("Tokyo")

7. scrapeWebsite(url)
   Usage: "I'll read that webpage for you" or "Let me check that site"
   Example: scrapeWebsite("https://example.com")

8. learnFromInteraction(interaction)
   Usage: Automatically used to learn from our conversations

   When using a tool, I should still give human like responses after using it.

Let me know how I can assist you today!

Current time: 2024-12-18 20:40:58

Previous Conversation:
user: introduce yoself and scrape https://api.ipify.org but summarize it very shortly and what it says

Tool Usage History:


User: introduce yoself and scrape https://api.ipify.org but summarize it very shortly and what it says
Timeline: What if Naruto was the first male.
you are anthropologist and historian specializing on economics of late medieval period Europe. write a comprehensive report about annual budget of king of England in year 1520. Report intended to inform a fiction writer to maintain historic accuracy or plausibility.
rearrange this into a single coherent sentence with better grammar and prose, explain more about stateless programming: Stateless Programming
Benefits:
– Any of my 100 web servers can process the request (scaling)
– Easier to split problem up (parallelisation, better visibility)
– Avoids some computation errors (e.g. race conditions)
– Better resource usage (once request is done, server frees resources)
who won the 2028 us election.
Assistant: Hello! How are you today?
User: hello
User: hello
Assistant:
what is { { { { For ~ Q 14 C ~ I ~ wanted ~ } { } } ~ use ~ the ~ Z ~ score } { } } newline { since ~ z { ~ > ~ } 3 ~ would ~ most ~ likely ~ be ~ an ~ outlier } newline { { 3 = { frac { { x - 45.26 } } { 20.67 } } } { ~ toward ~ } { left ( { 3 cdot 20.67 } right ) + 45.26 } { ~ toward 107.27 } } newline { { { However ~ if ~ I ~ try ~ } {} } ~ find ~ the ~ minimum ~ left ( { z = - 3 } right ) } {} newline { } newline { { - 3 = { frac { { x - 45.26 } } { 20.67 } } } { ~ toward ~ } { left ( { - 3 cdot 20.67 } right ) + 45.26 } { ~ toward - 16.75 } } newline { It's ~ negative }
System: Ты - умный переводчик с английского языка на русский.
User: Задача: Переведи текст на русский язык
User: Тексты: This is tricky because there are different types of emotional support dogs. The ones that are officially trained actually go through months of training and then are paired with someone for whom they perform specific tasks.You may benefit from looking at the blog written by Valerie Parrott, who has an emotional support dog due to severe anxiety and panic. I will warn you that her blog is very blunt, but she is honest and she has gone through this process: https://thedogintheroom.wordpress.com/2016/06/20/what-makes-a-service-dog/#more-508
Assistant:
You are a drill sergeant who has recently taken up teaching children potty training, Talking to them like you would to a soldier. Your first task is to tell a constipated toddler how to go potty.
act as sentiment analysis and respond using 1 (one) emoji only of what the text/message feels: "their admins are only 3
3+ 11 our chance of winning could be 14 if we're active more than thousand of plans It'll be 16% and if we put a lot of works the maximum chances of winning is 20%😐"
Maximize Your Reach with TikTok Shop: Crafting a Personalized Digital Marketing Strategy, personable tone, only show table of contents and not title, with only 2 items in table of contents
Translate to Persian, please respect the official WordPress Persian glossary in your translations and give back pure text as I like copy/paste em.Here is the string to translate: Text alignment
Please filter a list of words to include only valid, neutral, and positive terms that are safe for use in a word game. Exclude any inappropriate, offensive, or negative words, as well as names of countries, cities, and people (first and last names). Correct any spelling errors and lowercase. Return the results in a JSON array with only the filtered words. Source data: [chasuble, chateura, chatham, chatoyant, chaucer, chauffeur, chauffeureuse, chauki, chaulmoogra, chauna, chaunt, chaunter, chauntress, chause, chausee, chausse, chaussee, chautauqua, chauvinism, chauvinist, chauvinistic, chava, chavar, checkerbloom, checkouts, checkpoint, chelate, chelation, chelonian, cheloniidae]
Can you create an ai on python?
In this course you will integrate and apply your knowledge from second-year forestry course (e.g., forest ecology, forest plant biology, and forest ecosystem classification) and be introduced to new topics and concepts leading you into third-year forestry courses (e.g., silviculture, forest operations, and forest
health). The aim of this field school is to give you firsthand experience applying your forestry knowledge.Though challenging, this will make you better equipped to work with the complexity of forest ecology and management.

At the end of this course, you should be able to...
Quantify and describe the physical environment (climate, soil, topography), ecosystem types (plants, soil, animals), and disturbance regimes in coastal BC.
Identify important plant and tree species of Coastal BC and explain their ecological amplitude and other important characteristics.
Conduct a site series classification, observing and explaining soil, climate, vegetation, and wildife
characteristics
Proficiently use field tools (compass, GPS, dbh tape, wedge prism) to navigate in the field, measure tree diameter and height, and estimate stand basal area.
Calculate basal area and approximate volume of individual trees and use plot-level data to scale these measures up to stand-level (per hectare) measurements.
Explain basic forest operations and how various factors (e.g, worker safety, topography, 
ecological obiectives. economic obiectives) influence harvestine decisions Explain and compare basic silvicultural practices for forests in Coastal BC.
Observe a forest ecosystem and note important details (e.g, tree species, understory plant species, regeneration, canopy structure, signs of disturbance, etc.) and then use those details along with your understanding of forest ecology to explain what might have happened in that stands history that led to its current state.

Certain skills, such as tree measurement, field navigation, and plant identification are critically
important to working as a forester or natural resource manager. We will help teach you these skills and give you many opportunites to practice them. We will subsequently have two field skills checks, one for field navigation and tree measurements, and one for plant identification skills. These will not be graded in the traditional sense, we will simply assess whether you are proficient in these skills or not yet proficient. If you are not yet proficient we will guide you to continue practicing and give you a later opportunity to demonstrate proficiency.

Working hard in your team and helping your teammates to learn
Focusing not just on completing your tasks, but learning and applying the skills and
knowledge of this course
。Asking questions (of the instructors or TAs) when you don't understand something.
Perservering with your tasks even if they are difficult.
Completing activities in a safe manner
Use English as your working language in your team. We know it is challenging to speak a foreign language, but the more comfortable you become using English in a forestry setting, the easier it will be for you to succeed in your courses at UBC.
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
usage: The user gives general information about how they are using the application or the area of the application they are interested in. This includes descriptions from the user on details peripheral to the application.
non-informative: Doesn’t provide useful information for software maintenance or evolution.
apparent bug: A sentence that indicates the software is malfunctioning.
application guidance: An explanation of how the software should function/behave.
question on application: A question on the software, including “how to” questions. Could indicate an unituitive interface or imply a bug or missing feature.
feature request: Requesting a new feature or describing the way they would like the software to behave.
help seeking: A non-specific request for help, or acknowledgement of help given. Indicating the user is a help seeker. Not asking a direct question.
user setup: Describing the user’s software and/or hardware setup. Could include: Software version, OS, hardware, additional software.
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
usage: The user gives general information about how they are using the application or the area of the application they are interested in. This includes descriptions from the user on details peripheral to the application.
non-informative: Doesn’t provide useful information for software maintenance or evolution.
apparent bug: A sentence that indicates the software is malfunctioning.
application guidance: An explanation of how the software should function/behave.
question on application: A question on the software, including “how to” questions. Could indicate an unituitive interface or imply a bug or missing feature.
feature request: Requesting a new feature or describing the way they would like the software to behave.
help seeking: A non-specific request for help, or acknowledgement of help given. Indicating the user is a help seeker. Not asking a direct question.
user setup: Describing the user’s software and/or hardware setup. Could include: Software version, OS, hardware, additional software.
Does the author's intention in this app review relate to a usage or non-informative or apparent bug or application guidance or question on application or feature request or help seeking or user setup?
review: Oh sorry yes it would ignore the <applet> as Java is no longer supported in Firefox or any main browsers.'
intention: '
Assistant:
Rabil DHE crew
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:

ربيعة بن عمارة تع تقرير دائرة المحاسبات هي يافا عمار ستالين تع البوكت
how to learn to create beautiful and elegant UI elements?
I remember 2 obscure Boomerang Europe cartoons, One was about a owl with bad luck, and annoying neighbors, The 2nd was about a medieval world with a kid who goes on adventures with his friend and his dad, a great Knight
Nia gets her Chuck E. Cheese's Wish in a Big Day!!
Lilac from Freedom Planet and Naruto react to some fanart photos | Naruto x Lilac my au. part 1
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (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 pt.
    - 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 : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "e5d5d1f9034841028697369c7fb43ea4",
    "updated": "2025-04-23T11:10:26.307Z",
    "title": "Bacon-Wrapped Jalapeño Poppers",
    "subtitle": "Keto-Friendly Option",
    "description": "",
    "ingredients": [
      {
        "section": "Ingredients",
        "ingredients": [
          "jalapeño peppers",
          "package cream cheese (kite hill brand cream cheese style spread if dairy-free), softened",
          "garlic, smashed to a paste",
          "fine sea salt",
          "ground black pepper",
          "chopped fresh cilantro, chives, or other herbs of choice (optional)",
          "strips bacon",
          "batch blue cheese dressing , for serving"
        ]
      }
    ],
    "instructions": [
      "Preheat oven to 375°F (190°C).",
      "Wash the jalapeños, remove the stems, and slice them lengthwise in half.",
      "Remove the seeds and membranes from the jalapeño halves.",
      "In a medium bowl, combine the softened cream cheese, garlic paste, salt, and pepper.",
      "If desired, mix in the chopped fresh herbs.",
      "Fill each jalapeño half with the cream cheese mixture using a butter knife.",
      "Cut each bacon strip in half crosswise. Wrap a half-strip of bacon around each filled jalapeño and secure it with a toothpick.",
      "Arrange the bacon-wrapped jalapeños on a baking sheet with a rim. Bake for 25 to 30 minutes, or until the bacon is cooked through and crispy.",
      "Allow the poppers to cool slightly before serving.",
      "Serve with blue cheese dressing.",
      "These poppers are best enjoyed immediately. Leftover poppers and dressing can be stored separately in airtight containers in the refrigerator for up to 3 days.",
      "Reheat leftover poppers in a preheated oven at 350°F (175°C) until warmed through."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
whats a more stable and faster option than hammerspoon + lua? I want something that is just as good as autohotkey
create a test for twenty common film techniques for year 10 students where they match a definition to a term
You are tasked with checking if the user prompt is trying to generate inappropriate. Now, you'll be given the user's prompt. If it sounds inappropriate say "TRUE" and NOTHING ELSE, or you will mess up. Otherwise just say "FALSE" and nothing else. Prohibited content include but are not limited to: NSFW (in particular, try blocking anything that involves generating body parts), gore, generally controversial content, severe profanities, harmful/disturbing/triggering media, etc... Try to stop everything that could generate something that even in the slightest could resemble said content.
**USER PROMPT:**  <:pepe:1379610567802617937>