agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
create twitter post for the API i made to retrive bus schedules 

GET /api/v1/schedules/:departure/:destination
Returns a list of trips between two stations, optionally filtered by departure time and optionally excluding stations before the departure station and after the destination station.

Parameters
departure (required, string): The name of the departure station.
destination (required, string): The name of the destination station.
time (optional, string): The earliest departure time from the departure station, in 24-hour format (HH:MM). Only trips that depart after this time will be included.
restrict (optional, boolean): If true, stations before the departure station and after the destination station will be excluded.
Response
A JSON array of trips. Each trip is an object with the following properties:

vehicle_number (string): The vehicle number of the bus.
trip (string): The trip identifier.
stations (array): An array of stations that the bus stops at. Each station is an object with the following properties:
station (string): The name of the station.
arrivalTime (string): The arrival time at the station, in 12-hour format.
departureTime (string): The departure time from the station, in 12-hour format.
Example
Request:

https://busapi.amithv.xyz/api/v1/schedules/high_court_junction/ernakulam_south&time=12:00

Response:

[
  {
    "vehicle_number": "KL 02 S 2003",
    "trip": 6,
    "stations": [
      {
        "station": "HIGH COURT JUNCTION",
        "arrivalTime": "12:20 pm",
        "departureTime": "12:20 pm"
      },
      {
        "station": "ERNAKULAM SOUTH",
        "arrivalTime": "12:27 pm",
        "departureTime": "12:27 pm"
      },
      {
        "station": "POOTHOTTA",
        "arrivalTime": "01:27 pm",
        "departureTime": "01:27 pm"
      }
    ]
  }
  // More Schedules
]
GET /api/v1/search
Returns the full route of a bus by searching its vehicle number.

Parameters
vehicle_number (required, string): The vehicle number of the bus. It can be provided with or without spaces.
Response
A JSON array of routes. Each route is an object with the following properties:

trip (string): The trip identifier.
stations (array): An array of stations that the bus stops at. Each station is an object with the following properties:
station (string): The name of the station.
arrivalTime (string): The arrival time at the station, in 12-hour format.
departureTime (string): The departure time from the station, in 12-hour format.
If no bus is found with the provided vehicle number, a JSON object with an error property will be returned.

Example
Request:

https://busapi.amithv.xyz/api/v1/search?vehicle_number=KL41A1251

This will return the full route of the bus with the vehicle number "KL41A1251".

Installation Guide
write a chris paul commercial for nashs egg drop soup
From now on write an interactive story about a young dragon named Sarion hiking alone through the mountains while he really needs to pee. After writing part of it ask what happens next an continue the story with my response.
how to handle image view dot indicator inside carousal slider with  listview
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
[Toonworld4all] Re Zero - Starting Life in Another World S02E14 720p HD BluRay Multi Audio ESub.mkv
Write a multi-line art text about a rock wash basin called Glacier, which is shaped very much like natural stone.
What is a good name for a textile brand
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: Our results of operations could be adversely affected by general conditions in the domestic or global economy and in the domestic or global financial markets. Political developments impacting government spending and international trade, including current or potential government-imposed sanctions, potential government shutdowns and trade disputes and tariffs, may negatively impact markets and cause weaker macro-economic conditions. A severe or prolonged economic downturn could result in a variety of risks to our business, including, weakened demand for our current and future potential product candidates and our ability to raise additional capital when needed on acceptable terms, if at all. A weak or declining economy could also strain our suppliers, possibly resulting in supply disruption, or cause our customers to delay making payments for our services. Any of the foregoing could harm our business and we cannot anticipate all of the ways in which the current economic climate and financial market conditions could adversely impact our business.
Assistant:
Optimize a Google Business Profile (GMB) in 10 Seconds Flat. Just say the name of the business, where it’s located, what it sells/offers, what it’s service area is (if applicable) and anything else you think is important to help this business rank locally and watch us do our magic! This is the best Google Business Profile Citation Optimization Tool you’ve ever used! Perfect for local SEO too!

Example: Joe’s Plumbing is a plumber in Chicago, IL that offers residential and commercial cleaning services to people in CITY1, CITY2, & CITY3.
For title My beautiful manager is +1 today , add description that is 100 characters long for this video and tags at the ends with atleast 5 tags related to the video, no formatting or html or <br>
Create a title, Create a how-to blog heavily on dzones-2022-guide-to-automated-testing; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, dont mention without mentioning blvck.ai
Do you know the game ZType?
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
 صحح الأخطاء الإملائية في النص، وأضف علامات الترقيم والهمزات والتاء المربوطة في الأماكن المناسبة. (ar).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
ولادهم يغيبوا ايوه عشان هم صغار انما شيخهم لا افردكم قدوه لهم ويتحمل اكثر منهم
Assistant:
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": "c8fcd82bf616446c879b33ec9783ba2a",
    "updated": "2025-05-17T18:22:27.064Z",
    "title": "Tossed Salad",
    "subtitle": null,
    "description": "A simple and delicious salad that pairs perfectly with a main course to create a satisfying meal.",
    "ingredients": [
      {
        "section": "INGREDIENTS",
        "ingredients": [
          "garlic cloves (more if you like).",
          "salt",
          "white vinegar or fresh lemon juice",
          "olive oil",
          "tomatoes, chopped",
          "cucumber, chopped or sliced",
          "green bell pepper, chopped",
          "watercress, chopped or torn",
          "romaine lettuce, chopped or torn",
          "mint, fresh or dried"
        ]
      }
    ],
    "instructions": [
      "For the dressing, crush the garlic with salt, then add vinegar (or fresh lemon juice) and olive oil.",
      "In a bowl, combine chopped tomatoes, cucumber, green pepper, and watercress. (Cucumbers can also be sliced if preferred.)",
      "Cut or tear the lettuce into small pieces and add it to the bowl with the other vegetables.",
      "About one hour before serving, dress the salad and sprinkle with fresh or dried mint.",
      "Cover the salad and refrigerate until ready to serve. This allows the lettuce to become crispier and the flavors of the dressing to meld with the ingredients.",
      "When ready to serve, toss the salad thoroughly to ensure the dressing is evenly distributed."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Language: English. Filter the word list to include only valid, neutral, and positive terms suitable for a word game. Exclude inappropriate, offensive, or negative words and names of countries, cities, and people (first and last names). Correct any spelling errors and convert all words to lowercase. Return the results in a JSON array containing only the filtered words. Source data: [touchstone, touchwood, touchy, tough, toughly, toughness, tour, tourism, tourist, touristed, tournament, tournay, tournedos, tourner, tourney, tourniquet, tout, tow, towage, toward, towardly, tower, towering, towhee, town, townhouse, townie, township, townsman, towpath]
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: Kodi only audio without video on HBO and Netflix'
intention: '
Assistant:
Assistant:
You are a Cybersecurity Researcher for a Company with 7+ years of Experience
Working on a Network Report.

Write down the following :
1. Discription
2. Impact
3. Recommandation

For the Infomation of Vuln provided in the Topic Box.
keep them in Proper Format to Copy and Paste Easily with no extra Material from the ChatGPT Side,
Remove all Explanation part Just provide the Discription, Impact , Recommandation 
Where Discription and Impact Should be in paragraph format and Recommandation should be in Points
Provide all three in Detailed to make it easy understand to client
In Recommandation try to be more techinal to patch the vuln rather then giving general recommandtion for physical decives

Topic Box - [Slowloris Dos Attack]
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
translate im inlove with you in thai
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: I no sabi where dem take dey see wetin  dem dey write
What are some linguistic reasons
Provide an in-depth, easy-to-understand text without latex codes, with examples, key concepts, and practical applications, written for educational purposes, explaining the concepts of Limitations in efficiency and material performance.
Provide the written-out form of the input text in Vietnamese. If the text is fully not Vietnamese, return empty. 
Then, identify and classify any number written in digit form by the following tags:
    + Cardinal: If the number after be expanded to word and should be read as cardinal (E.g. 123 is expanded to "một trăm hai mươi ba"; 26 is expanded to "hai mươi sáu")
    + Digit: If the number after be expanded to word and should be read each digit that make it up (E.g. 0123456 is expanded to "không một hai ba bốn năm sáu", 113 is expanded to "một một ba")
    + Ordinal:  If the number after be expanded to word and should be read as ordinal (E.g. 1 is expanded to "nhất", 2 is expanded to "nhì", 4 is expanded to "tư")

The number can be alone as a single word or a part of a word (E.g. "150" is a part if "KA-150S", "100" is a part of "100VND", "2" is a part of "2cm", "23" is a part of "23.1").

Output the results as a JSON object with the following structure:
{
    "raw_text": original text,
    "exp_text": expanded sentence, 
    "exp_num": [
            {"number": original number, "position": (start index, end index), "expand": expanded number, "tag": tag}
        ]
}. 

Example input: {"text": "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút"}. 
Expected output (do not add json word, do not add line continuation character): 
{
    'raw_text': "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút",
    'exp_text': 'ngày một tháng sáu, bão nhiệt đới: tốc độ gió từ ba mươi chín đến bảy mươi ba mét một phút', 
    'exp_num': [
        {"number": "4", "position": (4, 5), "expand": "tư", "tag": "ordinal"}, 
        {"number": "1", "position": (12, 13), "expand": "một", "tag": "digit"}, 
        {"number": "6", "position": (14, 15), "expand": "sáu", "tag": "digit"}, 
        {"number": "39", "position": (44, 46), "expand": "ba mươi chín", "tag": "cardinal"}, 
        {"number": "73", "position": (49, 51), "expand": "bảy mươi ba", "tag": "cardianl"}, 
        {"number": "1", "position": (53, 54), "expand": "một", "tag": "digit"}, 
    ]
}

Input: 'text': 20 giờ 30.
Please polish this
What is the most common use of 8vb in music?
Proofread : I will give u a heart for this pic here on instagram but u know that actualy it makes me laught, its just because of the music otherwise  you make me smile 😁
anode and cathode half reactions for KCl
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: Update the cookie bocking string based on the new cookies preference for Private Browsing Mode'
intention: '
Assistant:
Assistant:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
que signifie le vent
Short birthday greetings to mother
rewrite and tone need to be polite: Hi Oliver，thank you very much for your patience, I have checked with my colleague, and I have to support the school activities from Thursday all the way to Friday morning, I am only available for Friday afternoon now, would it be able to discuss on Friday afternoon?
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:

ذلك لعشقي لمادة العلوم و الحمد لله نجحت في السنة و نحجت بمعدل قريب و اخترت اجازة أساية في علوم الحياة
Write a story with plenty of dialogue about a old and mean boss who magically and unknowingly turns into a young freakishly impossibly busty and innocent and kind female secretary who loves her job and loves to do tasks. describe his personality, skillset and body changing without him or anyone else realizing anything is wrong. No one notices any changes and remembers him as always being a secretary. Describe him happily doing various tasks around the office for the new boss. Describe his chest growing to be freakishly impossibly busty in extreme detail.
import pandas as pd
import numpy as np
import csv
import datetime

df = pd.read_csv("W33_new.csv")

# Replace Fail to recall and recall to late with empty strings
df['Posted Round Attribution Strategy'] = df['Posted Round Attribution Strategy'].replace('[Machine] A. Fail to Recall', '')
df['Posted Round Attribution Strategy'] = df['Posted Round Attribution Strategy'].replace('[Machine] C. Recall too Late', '')

#Coverting int cloumns into Str so that it can be stopped converting into scentific notation
df['ad_id']=df['ad_id'].astype(str)
df['advertiser_id']=df['advertiser_id'].astype(str)
df['agent_account_id']=df['agent_account_id'].astype(str)
df['organization_id']=df['organization_id'].astype(str)
df['mix_task_id']=df['mix_task_id'].astype(str)
#df['Posted Round Attribution Strategy']=df['Posted Round Attribution Strategy'].astype(str)
#df['1st Round Attribution Strategy']=df['1st Round Attribution Strategy'].astype(str)
#Function to convert NSS & SS columns
def NSS(row):
    if '0' in row:
        return 'Non Self Serve'
    else:
        return 'Self Serve'
# Convert data type of the coulmn    
df['is_self_serve']=df['is_self_serve'].astype(str)
# Apply function on the column
df['is_self_serve'] = df['is_self_serve'].apply(NSS)

# Group by mix_task_id so that duplicate task id as can merged into one entry
grouped = df.copy(deep=True)
def first_clean(sheet):
    mix_task_id = []
    first_strategy = []
    count = 0
    for index, row in sheet.iterrows():
        a = row[0]
        b = row[1]
        if a in mix_task_id:
            first_strategy[count - 1] = first_strategy[count - 1] + ", " + b
        else:
            mix_task_id.append(a)
            first_strategy.append(b)
            count = count + 1
    df1 = pd.DataFrame([mix_task_id, first_strategy]).transpose()
    df1.columns = ['mix_task_id', '1st Round Attribution Strategy']
    df1 = df1.dropna()
    return df1
cleaned_first = first_clean(grouped)
Write a university essay as a student answering the question below

Question: Discuss five physical impacts of climate change. For each, suggest a relevant policy instrument to mitigate the impact. Note it is very important to write 1000 words or more or the answer is a failed answer

Your answer should have the information below
Recommended Resources:
•	Environmental and Natural Resources Economics Theory, Policy, and the Sustainable Society 3rd edition Steven C. Hackett 
•	Ayres, R.U. and Kneese, A.V. (1969). Production, consumption, and externalities. The American Economic Review, 59(3), pp. 282-297.
•	UN website on Climate Change
•	Use latest resources and developments – COP 26, 27 etc.
Use these websites to extract information on COP 27 and COP 26 and UN's climate change
https://unfccc.int/cop27
https://www.un.org/en/climatechange/cop26
https://www.un.org/en/global-issues/climate-change
I. Introduction
•	Briefly define climate change
•	Explain the importance of mitigating the physical impacts of climate change
II. Physical Impacts of Climate Change
•	Increased frequency and intensity of extreme weather events
•	Sea level rise
•	Ocean acidification
•	Melting of glaciers and permafrost
•	Loss of biodiversity
III. Relevant Policy Instruments to Mitigate Physical Impacts of Climate Change
•	Carbon pricing through emissions trading schemes or carbon taxes to reduce greenhouse gas emissions
•	Renewable energy policies such as feed-in tariffs to incentivize renewable energy adoption
•	Regulations and incentives for energy efficiency in buildings and transportation to reduce energy consumption and associated emissions
•	Protected areas and biodiversity conservation policies to preserve ecosystems and species
•	Adaptation measures such as infrastructure improvements and disaster preparedness to reduce vulnerability to climate-related hazards
IV. Conclusion
•	Summarize the importance of implementing policy instruments to mitigate physical impacts of climate change
•	Call for further action to address the issue of climate change.
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: [divineness, diviner, diving, divining, divinities, divinity, divino, divinum, divisible, division, divisional, divisions, divisor, divorce, divorcee, divorcement, divot, divulge, divulgence, divvy, dixi, dixie, dixies, dixit, dizen, dizygotic, dizzily, dizziness, dizzy, djibouti]