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 it (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 it.
    - 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 : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "c87f2b977b8e4f4491b9869a7ba10b42",
    "updated": "2025-04-23T21:26:21.049Z",
    "title": "White Wine-Poached Cod with Creamy Dill Sauce",
    "subtitle": "30 MINUTES OR LESS, EGG-FREE, GLUTEN-FREE, NUT-FREE",
    "description": "This dish offers a taste of classic Norwegian flavors, featuring cod and dill. Inspired by Norway's coastal heritage, this recipe emphasizes the simplicity and freshness of the ingredients. The cod is gently poached with wine and herbs, then complemented by a light and flavorful creamy dill sauce.",
    "ingredients": [
      {
        "section": "FOR THE SAUCE",
        "ingredients": [
          "crème fraîche",
          "chopped fresh dill",
          "freshly squeezed lemon juice, plus more for seasoning",
          "kosher salt, plus more for seasoning"
        ]
      },
      {
        "section": "FOR THE FISH",
        "ingredients": [
          "water",
          "dry white wine",
          "fresh rosemary leaves",
          "bay leaf",
          "kosher salt",
          "cod fillets, rinsed, cut to fit in a large skillet"
        ]
      }
    ],
    "instructions": [
      "TO PREPARE THE SAUCE",
      "Combine the crème fraîche, dill, lemon juice, and salt in a small bowl.",
      "Adjust seasonings to taste.",
      "Set aside.",
      "TO PREPARE THE FISH",
      "1. Combine the water, rosemary, bay leaf, and salt in a large skillet over medium-high heat. Bring the mixture to a gentle boil.",
      "2. Add the cod fillets to the skillet and reduce the heat to maintain a simmer. Cook for approximately 7 minutes, or until the cod is cooked through and flakes easily.",
      "Carefully transfer the cooked cod to a serving platter.",
      "Serve the cod with the dill sauce drizzled over the top, or on the side in a small dish."
    ],
    "notes_ingredients": null,
    "notes_instructions": "Serving suggestion: Enjoy this dish with boiled potatoes, a fresh green salad, and a chilled glass of white wine."
  }
]
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers zh (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en zh.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : zh (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "9f07debc72de42889897f43fccc59d4d",
    "updated": "2025-04-23T19:53:58.508Z",
    "title": "Classic Blackened Scallops",
    "subtitle": null,
    "description": "Scallops, known for their beautiful grooved shells, offer a meaty, buttery texture perfect for dishes like this. This recipe highlights their unique qualities with a simple yet flavorful blackening technique.\nDAIRY-FREE\nGLUTEN-FREE",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "hot smoked paprika",
          "onion powder",
          "garlic powder",
          "sea salt",
          "dried thyme",
          "freshly ground black pepper",
          "sea scallops, cleaned",
          "olive oil"
        ]
      }
    ],
    "instructions": [
      "Combine the paprika, onion powder, garlic powder, salt, thyme, and pepper in a small bowl.",
      "Thoroughly dry the scallops with a paper towel. Coat both sides of each scallop with the spice mixture.",
      "Heat the olive oil in a large skillet over medium-high heat.",
      "Place the scallops in the skillet, ensuring they are not touching each other.",
      "Sear for approximately 3 minutes total, flipping once to cook both sides."
    ],
    "notes_ingredients": "Frozen scallops work well in this recipe. Thaw them overnight in the refrigerator. If your scallops aren't pre-cleaned, remove the side muscle—a noticeable flap of tissue that can be easily cut away.",
    "notes_instructions": null
  }
]
Я предполгаю, что в конце условия работают не корректно:
  procedure check_subs_on_bn_sof(p_subs_id        in subscribers.subs_id%type,
                                 p_amt_BN_fee     out number, -- Кол-во списанныз АП по акции Желанный номер
                                 p_rls_amt_BN_fee out number, -- Кол-во обязательных списаний
                                 p_key_bn         out number -- -1 ТП не BN
                                      -- -2 ТП BN - условия выполнены
                                      -- 1 - Условия по BN не выполнены
                                ) is
  begin
    for rec in (select nvl(d.ext_def, 0) ext_def, 
                       nvl(oev.number_value, 0) number_value
         from subs_dictionaries d, 
              obj_groups og,
              obj_groups ogg,
              obj_extented_value oev,
              subs_histories sh,
              number_sets ns
  where d.subs_subs_id = p_subs_id
    and d.del_user is null
    and d.del_date is null
    and d.dict_dict_id = og.num_value
    and og.group_key = 'METALLIC_NUM_SOF'
    and sh.subs_subs_id = d.subs_subs_id
    and ogg.group_key like 'NCLS_MANDATORY_FEE_SOF'
    and ogg.end_date > sysdate
    and ogg.start_date <= sysdate
    and oev.group_id = ogg.group_id
    and sh.end_date > sysdate
    and sh.start_date <= sysdate
    and sh.rtpl_rtpl_id = oev.obj_id
    and oev.end_date > sysdate
    and oev.start_date <= sysdate 
    and og.end_date > sysdate
    and og.start_date <= sysdate
    and bis.nx_supp_pg.get_msisdn_by_subs(sh.subs_subs_id) = ns.msisdn
    and oev.param_num = ns.ncls_ncls_id) loop
        p_amt_BN_fee := rec.ext_def;
        p_rls_amt_BN_fee := rec.number_value;
    
    if (p_amt_BN_fee < p_rls_amt_BN_fee) then
       p_key_bn := 1;
    else
       p_key_bn := -2;
    end if;
   end loop;

  end check_subs_on_bn_sof;
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: Reviews that report a problem, such as faulty behavior of the application or of a specific feature
Feature strength: Reviews that identify an aspect about an existing feature that users are satisfied with
Feature shortcoming: Reviews that identify an aspect about an existing feature that users are unsatisfied with
User request: Reviews that ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature
Praise: Reviews where users express general appreciation with the application. It focuses on general judgment, unlike feature strength which emphasizes on the positive feedback about a specific feature
Complaint: Reviews where users express general dissatisfaction with the application. In contrast with feature shortcoming which focuses on the negative feedback about a specific existing feature, general complaint concentrates on general judgment
Usage scenario: Reviews where users describe workarounds, use cases and scenarios involving the app
Noise: Reviews that do not belong to any other categories.
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: Reviews that report a problem, such as faulty behavior of the application or of a specific feature
Feature strength: Reviews that identify an aspect about an existing feature that users are satisfied with
Feature shortcoming: Reviews that identify an aspect about an existing feature that users are unsatisfied with
User request: Reviews that ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature
Praise: Reviews where users express general appreciation with the application. It focuses on general judgment, unlike feature strength which emphasizes on the positive feedback about a specific feature
Complaint: Reviews where users express general dissatisfaction with the application. In contrast with feature shortcoming which focuses on the negative feedback about a specific existing feature, general complaint concentrates on general judgment
Usage scenario: Reviews where users describe workarounds, use cases and scenarios involving the app
Noise: Reviews that do not belong to any other categories.
Does the author's intention in this app review relate to a Bug report or Feature strength or Feature shortcoming or User request or Praise or Complaint or Usage scenario or Noise?
review:  I don't get it How in the world do you use this app? Can you even look for friends? App is confusing and pointless!'
intention: '
Assistant:
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: [fuge, fugerit, fugerite, fugleman, fugu, fula, fulciment, fulcrum, fulfill, fulgoridae, fulica, fuliginous, fullc, fullcharged, fullcolored, fullfed, fullflavored, fullfraught, fullgrown, fullhanded, fullhouse, fullladen, fullmouthed, fulltilt, fulltoned, fulmar, fulmarus, fulmen, fulminate, fulmination]
Help me translate the following Chinese into English, which requires a strong academic language: “详细分析乳腺癌组织中的DTL基因”
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:

ما في بالكش إنت
System: 
User: Suppose you are a company from Switzerland and operating in the Pharmaceuticals, Biotechnology & Life Sciences. You are disclosing in section 7 Management's Discussion and Analysis about currency risk.
    The disclosure should be in length between 100 and 200 words.
    The tone should be formal and pessimistic.

    Here is an example:
    We may be impacted by natural disasters, wars, health epidemics or pandemics or other events outside of our control. For example, Mountain Pass is located in San Bernardino County, California near active faults, which could lead to nearby earthquakes. If major disasters such as earthquakes, wild fires, health epidemics or pandemics, floods or other events occur, or our information system or communications network breaks down or operates improperly, our ability to continue operations at Mountain Pass may be seriously damaged, or we may have to stop or delay production and shipment of our products. We may incur expenses or delays relating to such events outside of our control, which could have a material adverse impact on our business, operating results and financial condition.
Assistant:
Write a 100% more realistic, more detailed and more accurate full table of TV stations in Lumberton, North Carolina on July 25, 2008 (including cities, towns, municipalities and unincorporated communities).
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers de (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 de.
    - 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 : de (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "9e2952a32280477cb99eaba4c55186b0",
    "updated": "2025-04-22T19:15:07.797Z",
    "title": "Whole Wheat Coffee Cake",
    "subtitle": "A Delicious Whole Wheat Coffee Cake with a Crunchy Filling",
    "description": "This whole wheat coffee cake offers a delightful combination of textures and flavors, featuring a satisfyingly crunchy filling.",
    "ingredients": [
      {
        "section": "For the cake",
        "ingredients": [
          "whole wheat pastry flour",
          "baking powder",
          "baking soda",
          "unsalted butter, softened",
          "sugar",
          "eggs",
          "vanilla extract",
          "sour cream"
        ]
      },
      {
        "section": "Bran Nut Filling",
        "ingredients": [
          "packed brown sugar",
          "bran flakes (20 g) cereal",
          "chopped walnuts",
          "cinnamon"
        ]
      }
    ],
    "instructions": [
      "Whisk together the whole wheat pastry flour, baking powder, and baking soda. Set this dry mixture aside.",
      "In a large bowl, cream together the softened butter, sugar, eggs, and vanilla extract until the mixture is light and fluffy.",
      "Gradually add the sour cream and the dry ingredients to the wet ingredients, alternating between them, while mixing on low speed until just combined.",
      "Prepare the bran nut filling by combining all the filling ingredients in a separate bowl.",
      "To assemble the coffee cake, lightly grease a 9-inch (23 cm) square pan with nonstick vegetable oil spray. Spread one-third of the batter evenly in the prepared pan.",
      "Sprinkle approximately half of the bran nut filling over the batter.",
      "Repeat the layering process twice more, ending with the remaining filling.",
      "Bake in a preheated oven at 350°F (180°C, gas mark 4) for 30 to 45 minutes, or until a wooden skewer inserted into the center comes out clean.",
      "Let the cake cool slightly in the pan before serving."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
create table customer (name varchar(20), orderdate date, is_online char(3))
insert into customer values  ('Robert', '2022-01-01', 'yes'),('Robert', '2022-02-01', 'yes'),('Robert', '2022-03-01', 'yes'),
              ('Anna', '2022-01-01', 'yes'),('Anna', '2022-05-01', 'no'),('Anna', '2023-01-01', 'yes'),
              ('Steve', '2022-01-01', 'no'),('Steve', '2022-04-01', 'no'),('Steve', '2022-07-01', 'no'),
              ('Ross', '2023-01-01', 'yes'),('Ross', '2023-04-01', 'yes'),('Ross', '2023-07-01', 'no')
select name, orderdate, is_online from customer get the customer name who did not make any order in 2022
$%&: False should equal True
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.

==TEXT==

User: ⚜️ Вакансия по категории: Дизайн

Добрый день всем) Срочно ищу дизайнер для создание карточек, могу и рассмотреть начинающего самое главное качество !!!

➖➖➖➖➖➖➖➖➖➖
Как выявить мошенника 👉 Читать
Больше вакансий тут 👉 @GetClient_TG_bot
Assistant:
consider this code in Python:         padding = "CryptoHackTheBox"

  def pad(plaintext):
        return plaintext + padding[:(-len(plaintext) % 16)] + padding
In your reading, you learned about the differences between inductive reasoning and deductive reasoning. Which is preferred by writers and why?
1. Deductive reasoning because one moves from more general information to a specific conclusion.
2. Inductive reasoning because one moves from more general information to a specific conclusion.
3. Inductive reasoning because one moves from specific reasons to a general conclusion.
4. Deductive reasoning because one moves from specific reasons to a general conclusion.
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: related expenses, and other non-recurring charges because these items do not reflect ongoing business operations. Other non-recurring charges include litigation reserve, impairment charges, debt amendment and warrant amortization None
Assistant:
Currently I'm following diploma in information technology.. as a Student I need write cv profile to seeking job opportunity in IT feild
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
c quoi une maladie parasitaire
who is calshrimp
System: 
User: Suppose you are a company from the United Kingdom and operating in the Food & Staples Retailing. You are disclosing in section 7 Management's Discussion and Analysis about payment-related risk.
    The disclosure should be in length between 100 and 200 words.
    The tone should be formal and pessimistic.

    Here is an example:
    We may be impacted by natural disasters, wars, health epidemics or pandemics or other events outside of our control. For example, Mountain Pass is located in San Bernardino County, California near active faults, which could lead to nearby earthquakes. If major disasters such as earthquakes, wild fires, health epidemics or pandemics, floods or other events occur, or our information system or communications network breaks down or operates improperly, our ability to continue operations at Mountain Pass may be seriously damaged, or we may have to stop or delay production and shipment of our products. We may incur expenses or delays relating to such events outside of our control, which could have a material adverse impact on our business, operating results and financial condition.
Assistant:
begin writing a story of a man who gets a magical wish and by mistake wishes to send his mind into the mind of his crush for 30 days
his crush is a voluptous goth woman 
his mind pilots her
he finds her irresistible and unable to keep his hands off of her, making her act out his desires

tell it in a romantic funny way
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Meduxa. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
User: Sorry
User: Sorry
Assistant:
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: To bring the members together by chating here