agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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": "33875e231bda46cea71e9f888568a8ad",
    "updated": "2025-05-10T07:55:37.840Z",
    "title": "Chocolate Mug Cake",
    "subtitle": null,
    "description": "After a long day, you might crave something sweet without spending too much time. Mug cakes offer a quick and delicious solution, ready within minutes. You can customize them with various flavors, but a chocolate mug cake remains a favorite.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "self-raising flour",
          "caster sugar",
          "cocoa powder",
          "sunflower or vegetable oil",
          "full-fat milk",
          "chocolate chips or chunks"
        ]
      }
    ],
    "instructions": [
      "Combine the self-raising flour, caster sugar, cocoa powder, oil, and milk in a large mug. Stir with a fork or spoon until the mixture is smooth.",
      "Stir in the chocolate chips quickly.",
      "Microwave the mug cake for 1 to 1½ minutes until cooked. The top may appear slightly wet, but the center should be done. Avoid overcooking."
    ],
    "notes_ingredients": "To make this recipe vegan, substitute the milk with a plant-based alternative such as almond, soy, or oat milk.\nYou can replace the chocolate chips or chunks with a heaped teaspoon of your preferred spread, like chocolate or nut spread.\nFor a plain version, substitute the cocoa powder with an equal amount of self-raising flour.",
    "notes_instructions": null
  }
]
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
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
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Doesn't work On iPad 3, it will not open.'
intention: '
Assistant:
Give simple, common, and optimised Java solution

}
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
Does the author's intention in this app review relate to a pbr or inq or irr?
review: I recently switched to T-Mobile but Im not able to sign up to see my account details on my bill in the T-Mobile app'
intention: '
Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

[DRN] Marco.2024.1080p.SLIV.WEB-DL.DDP5.1.H.265-DAS.mkv
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": "af4d4a241d98438493f1c3d8fca995e0",
    "updated": "2025-04-25T15:31:14.690Z",
    "title": "Beef and vegetable soup",
    "subtitle": "",
    "description": "A simple yet hearty soup filled with flavorful beef and nutritious vegetables, ideal for a cozy meal.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "heavy whipping cream",
          "onion, chopped",
          "(8 ounces / 227 g) package cream cheese, softened",
          "(454 g) ground beef",
          "ground cumin",
          "chili powder",
          "(10 ounces / 284 g) cans diced tomatoes and green chiles",
          "(14.5 ounces / 411 g) cans beef broth",
          "garlic, minced",
          "salt, or taste"
        ]
      }
    ],
    "instructions": [
      "1. In a pot, combine the ground beef, chopped onion, and garlic, stirring until well mixed. Cook over medium to high heat for five to seven minutes or until the beef is completely browned, stirring frequently.",
      "2. Drain the excess grease from the cooked beef, then add the chili powder and cumin. Cook for an additional two minutes, stirring constantly.",
      "3. Add the cream cheese to the pot and cook for an additional three to five minutes. Then incorporate the tomatoes and green chiles, beef broth, heavy whipping cream, and salt. Let it cook for about ten minutes, stirring occasionally.",
      "4. Ladle the soup into a large serving bowl. Allow it to rest for a few minutes before serving."
    ],
    "notes_ingredients": "",
    "notes_instructions": "Nutritional Information: calories: 288 II total fat: 24g || carbs: 5.4g II protein: 13.4g II cholesterol: 85mg II sodium: 1310mg"
  }
]
Generate a description with keywords and SEOs for Coffee and Flower Delight | Versatile Art for Mugs, T-Shirts, Paintings | Home Décor and Apparel Uniqueness. Include practical application on which this artwork can be applied to for entrepreneurs at the end. Include details on dimensions: 1080x1080 and has 3 image variations. Include buyer has full rights to resale and commercial usage. Don't include HTML or '<br/>' for formatting only newline '
'
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. 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==

User: 🟥 Data Analyst | 3 year(s) | Middle
▫️ Ennabl | Fintech
▫️ 3300 - 5000 EUR
▫️ Cyprus

Удаленка 📡 | Доступна релокация ✈️
Требуемые языки: 🇬🇧

Skills: mysql, oracle, postgresql, power_bi, python, sql, tableau, dax, data_science/data_engineering
Tags: #red #it #remote #relocation #data_analysis

👉 Контакты и полное описание
Assistant:
when i run command 
ansible-server link   
on my ubuntu server,  i got this error

Traceback (most recent call last):
  File "/app/ansible-server/build/scripts/ansible-server.py", line 508, in <module>
    main()
  File "/app/ansible-server/build/scripts/ansible-server.py", line 237, in main
    ansible_server_link(args.ansible_server_path)
  File "/app/ansible-server/build/scripts/ansible-server.py", line 146, in ansible_server_link
    cmd = sh.Command('bash')
  File "/usr/lib/python3.10/site-packages/sh.py", line 1306, in __init__
    raise CommandNotFound(path)
sh.CommandNotFound: bash


how to fix?
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"Skinner's Frozen Burritos ","description":"Skinner was the head chef of Gusteau's kitchen, but ironically, we never saw him cooking. Even though Skinner had Gusteau's kitchen, he had a side business in which he dealt with frozen foods. This dish, therefore, is an ode to Skinner and his business. Burritos are a classic wrapped dish. Let's learn how to make an amazing burrito.","ingredients":[{"section":"For the recipe","ingredients":["1 tablespoon vegetable oil","1 cup corn","1/2 cup chopped onion","1 can of black beans","3 cups cooked rice","1 jar of tomato salsa","3 cups cooked finely chopped chicken","1 1/2 cups cheese","1/2 tablespoon pepper","6 flour tortillas","1/2 cup cilantro leaves","Olive oil cooking spray","Salsa","Sour cream","Guacamole"]}],"instructions":["Pour oil into a pan and heat it on medium flame.","Add corn, onion to the heating and cook it for 4 minutes.","Once the onions and corn are ready, add beans, rice, and salsa.","Mix it well till all the ingredients are finely mixed and the rice is warm","In another bowl, add chicken, cheese, and pepper and mix them well.","Warm the readymade tortillas.","Now, in the warmed tortillas, add 1 cup of rice mixture in the middle. On top of the rice mixture, add 1/2 cup chicken mixture.","Once done, roll the sides of the tortilla and roll it like a roll.","At this stage, spray olive oil on the burrito using the cooking spray. Grill it for 3-4 minutes.","Once done, cut it in half and serve it with guacamole and salsa.","Enjoy!"]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
(quantum_beast) PS C:\solana_rust_bot> python "C:\solana_rust_bot\src\python\system_test.py"

================================================================================
Solana Trading System Started
Time: 2025-01-11 01:09:41
Log Directory: logs
================================================================================

2025-01-11 01:09:41.202 | INFO     | Configuration loader initialized
2025-01-11 01:09:41.203 | INFO     | Configuration validation successful
2025-01-11 01:09:42,117 - DEBUG - Using selector: SelectSelector
2025-01-11 01:09:42.117 | INFO     | Starting system test...
2025-01-11 01:09:42.117 | INFO     | Testing Trading Core initialization...
2025-01-11 01:09:42.121 | INFO     | Testing balance fetching...
2025-01-11 01:09:43.030 | ERROR    | Test failed: RPC response error -32602: Invalid param: could not find account 
2025-01-11 01:09:43.030 | ERROR    | System test failed!
(quantum_beast) PS C:\solana_rust_bot>  why doesnt this work?
I ain’t back it up I never back it up
I ain’t back it up I never back it up
Bet
Pullin’ on the spot I ain’t back it up
Tallin’ to me babe got me feeling like

Talk to me babe because I know that I got you
Anything you want I go get it I love it
Every time you are around me make me feel like I am floating
Pull up on the scene you got me feeling like
You got me feeling high
You got me feeling so high
I feel like I am so fly
You always got me on go time
Feeling so bless no sneeze
I only speak facts no fib
Feeling so bless no sneeze
Pull up on the spot and you go sleep
She worries about me I tell her no need
Living so light she got me some wings
Walking in my direction I need some morphine
I ain't got to flex to be the one here

Talk to me babe because I know that I got you
Anything you want I go get it I love it
Every time you are around me make me feel like I am floating
Pull up on the scene you got me feeling like
You got me feeling high
You got me feeling so high
I feel like i am so fly
You always got me on go time
I don't care enough
Only family i open door
I got blessed with one more girl
You know that i have enough
Life changes
Life got me anxious
You know i am G you know that i don't need no answers
I don't want to die young somebody call Ke$ha
South America to north America to Asia
I said whatever she want i go get her ok
Whatever she touches i got get her ok
Got too many girls in my life i am OK
I don't need no drugs to be high i am OK
I am OK i am chilling i am rapping
I ain't even a rapper but i rap better than rappers
I am packing and packing i got more packers than green packers
Just living my life but still some jealous

Talk to me babe because i know that i got you
Anything you want i go get it i love it
Every time you are around me make me feel like i am floating
Pull up on the scene you got me feeling like
You got me feeling high
You got me feeling so high
I feel like i am so fly
You always got me on go time
You got me feeling high
You got me feeling so high
I feel like i am so fly
You always got me on go time
You got me feeling high
You got me feeling so high
I feel like i am so fly
You always got me on go time 歌词翻译
Write an extremely long story about a man named Steven. Steven lives alone in his apartment. Steven summoned a succubus and wishes to follow her any order. Have the story start from the third person perspective of him alone in his apartment when he summons the succubus. Have no introduction and jump straight into the dialogue of him fully devouting himself to her and being fully willing to do anything she asks. He is very calm and collected. She gives him the order to be her maid and to act and talk extremely polite and maid like and always walk like a woman. He happily and calmly obliges and she transports him to her home where hes happily her maid. Have a scene of him teaching himself to walk like a woman until he forgets how to walk like a man, feeling like its natural to sway his hips and arch his back. Have a scene of him practicing how he talks until he completely forgets how to talk in any way except like a polite and extremely feminine and loving maid. She alters his diet to exclusively give him food that encourage breast growth, by the end of the week he has DDs and has completely forgotten that he ever was anything but a maid. Do not introduce the characters or settings. Have plenty of dialogue and no other characters. Have Steven talk like a standard young adult. Steven isnt poetic, he just talks like a standard young adult. Have 5 mind bogglingly long chapters. Have each individual message reach the length limit. Have each message be one full chapter. Ask at the end if id like to continue.
Create a C program where it does the following: Expect three points from stdin, one per line.

Verify each point is EXACTLY "(fx, fy)" (where fx and fy are floating point numbers)

Output the area of the triangle defined by those, to two places.
should i install the non-installed servers? what's the use? ""Microsoft Windows [Version 10.0.22621.3296]
(c) Microsoft Corporation. All rights reserved.

C:\Users\bower>jupyter notebook
[I 2024-03-26 22:14:37.318 ServerApp] jupyter_lsp | extension was successfully linked.
[I 2024-03-26 22:14:37.326 ServerApp] jupyter_server_terminals | extension was successfully linked.
[I 2024-03-26 22:14:37.338 ServerApp] jupyterlab | extension was successfully linked.
[I 2024-03-26 22:14:37.346 ServerApp] notebook | extension was successfully linked.
[I 2024-03-26 22:14:37.877 ServerApp] notebook_shim | extension was successfully linked.
[I 2024-03-26 22:14:37.919 ServerApp] notebook_shim | extension was successfully loaded.
[I 2024-03-26 22:14:37.923 ServerApp] jupyter_lsp | extension was successfully loaded.
[I 2024-03-26 22:14:37.924 ServerApp] jupyter_server_terminals | extension was successfully loaded.
[I 2024-03-26 22:14:37.927 LabApp] JupyterLab extension loaded from C:\Users\bower\AppData\Local\Programs\Python\Python311\Lib\site-packages\jupyterlab
[I 2024-03-26 22:14:37.927 LabApp] JupyterLab application directory is C:\Users\bower\AppData\Local\Programs\Python\Python311\share\jupyter\lab
[I 2024-03-26 22:14:37.928 LabApp] Extension Manager is 'pypi'.
[I 2024-03-26 22:14:38.315 ServerApp] jupyterlab | extension was successfully loaded.
[I 2024-03-26 22:14:38.321 ServerApp] notebook | extension was successfully loaded.
[I 2024-03-26 22:14:38.322 ServerApp] Serving notebooks from local directory: C:\Users\bower
[I 2024-03-26 22:14:38.322 ServerApp] Jupyter Server 2.13.0 is running at:
[I 2024-03-26 22:14:38.322 ServerApp] http://localhost:8888/tree?token=63212d384d99b1ed0041fb8f9d875740472e851c353b83c1
[I 2024-03-26 22:14:38.323 ServerApp]     http://127.0.0.1:8888/tree?token=63212d384d99b1ed0041fb8f9d875740472e851c353b83c1
[I 2024-03-26 22:14:38.323 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 2024-03-26 22:14:38.369 ServerApp]

    To access the server, open this file in a browser:
        file:///C:/Users/bower/AppData/Roaming/jupyter/runtime/jpserver-12468-open.html
    Or copy and paste one of these URLs:
        http://localhost:8888/tree?token=63212d384d99b1ed0041fb8f9d875740472e851c353b83c1
        http://127.0.0.1:8888/tree?token=63212d384d99b1ed0041fb8f9d875740472e851c353b83c1
[I 2024-03-26 22:14:39.687 ServerApp] Skipped non-installed server(s): bash-language-server, dockerfile-language-server-nodejs, javascript-typescript-langserver, jedi-language-server, julia-language-server, pyright, python-language-server, python-lsp-server, r-languageserver, sql-language-server, texlab, typescript-language-server, unified-language-server, vscode-css-languageserver-bin, vscode-html-languageserver-bin, vscode-json-languageserver-bin, yaml-language-server""
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>🟩 PHP Developer | 1 year(s) | Middle
▫️ Multi Solutions Lab | IT
▫️ 100k - 150k RUB

Удаленка 📡
Требуемые языки: 🇷🇺

Skills: ajax, git, javascript, jquery, laravel, restapi, vuejs, oop, php
Tags: #green #it #remote #php

👉 Контакты и полное описание<<<

PROMPT:
>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. 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:
>>>🖥️ PHP Developer  
🏢 Multi Solutions Lab  
📍 Удаленка  
🔧 Основные задачи: Разработка и поддержка веб-приложений с использованием PHP и связанных технологий.  
💰 100k - 150k RUB  
📞 Контакты и полное описание<<<
Assistant:
can u speak Chinese?
Give a transcription of the following phrase, in answer shoud be only transcription: social status
i have cv2 image also coordinates (x,y,w,h) of a box in the image. i want to replace the box with a long sentence , use textwrap to place the text correctly inside the box
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: Only 104 of the total number have circulations of more than 100000

Please fix the punctuation.
Answer: Only 104 of the total number have circulations of more than 100,000.

In this sentence, I added a comma after "100" to make it easier to understand that we are talking about one hundred thousand.
Give me company names related to technologies, coding, IT, dream, nostalgia, that is creative and short.