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

    [
  {
    "recipeCode": "c12ccc5c1dba4a30820273edb78e4013",
    "updated": "2025-04-24T12:53:20.758Z",
    "title": "Mussels in a Spicy Red Wine Sauce",
    "subtitle": "Cozze in Stile Tarantino",
    "description": "Inspired by the sun-drenched shores of Puglia, this mussel dish embodies the region's rustic, flavorful cuisine. Once considered a staple of \"cucina povera,\" this recipe now stands as a testament to simple, delicious seafood cooking.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil, divided",
          "garlic cloves, minced, divided",
          "dry white wine",
          "mussels, scrubbed and debearded",
          "can canned tomatoes",
          "red pepper flakes",
          "salt",
          "freshly ground black pepper",
          "chopped fresh parsley"
        ]
      }
    ],
    "instructions": [
      "In a medium pan over medium heat, combine 2 tablespoons of olive oil and half of the minced garlic. Heat for 1 minute.",
      "Pour in the white wine and add the mussels. Mix well, cover, and cook for approximately 5 minutes, or until the mussels open.",
      "Remove and discard any mussels that do not open during cooking.",
      "Strain the mussels, ensuring to reserve the flavorful cooking liquid.",
      "In a separate large sauté pan over medium heat, heat the remaining 2 tablespoons of olive oil and the remaining minced garlic.",
      "Add the canned tomatoes and the reserved mussel broth to the sauté pan. Cook for 10 minutes.",
      "Return the cooked mussels to the pan, along with red pepper flakes. Season with salt and pepper, then cover and simmer for an additional 5 minutes.",
      "Garnish with fresh chopped parsley before serving."
    ],
    "notes_ingredients": "Enjoy this dish as a complete meal, or transform it into a two-course experience by tossing cooked pasta with the flavorful mussel sauce.",
    "notes_instructions": ""
  }
]
generate more comprehensive details and examples, in a calm and professional and friendly tone, with tables or lists on, 3. Effective Pinning Strategies, minimalist tone, dont start with a greeting
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...
User:  Hotel giant Hilton has signed on to design astronaut facilities for the private space station Starlab currently under development by Voyager Space Holdings and Lockheed Martin. In addition to designi
Assistant:
find the valuation of snowflake inc using discount cash flows and talk in depth about the process of calculating it
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 am not receiving cellphone signals at home in Alameda de las Pulgas in Menlo Park 94025, CA.  CCare told that the Menlo tower has been degraded and a replacement sim card with secondary tower will solve the issue. It didn't. It has been over a month now. Any advice?'
intention: '
Assistant:
I want a propmt to generate unique samurai skull ilustation with black background and manga tyle
Translate the following text from Russian to Belarusian:

Загрузка сервера...
Rewrite this text in a friendlier and respectful manner: Now, I know what you probably have some objections to my perspective: “But one day this might affect stuff you like too” some of you may say. And that’s a fair point. Indeed, it would suck if stuff like this happened to things I like, and I probably would be angry about it. But here’s the thing: it’s not affecting something I like right now, is it? “Well, it might someday”. You’re probably right, however, just because it “might” happen doesn’t mean it “will” happen. Let’s use the 4kids example someone gave here: just because 4kids did alter/censor some anime, that doesn’t mean ALL anime was censored, in fact, there were animes aired in their original form in America. Fast forward to now, anime isn’t really being censored anymore, is it? (Unless you count “people complaining on Twitter” as censorship). So if the fear of swiping censorship didn’t become true then, why do we think it will inevitably happen now? Besides, just so you know, it has happened to some things I liked. And indeed I felt unhappy about it. You know what I did about it? I simply ditched those things and then moved on to another things I liked. Yes, I was irked that they censored things I liked, but it was not the end of the world.
“But these changes are pointless/stupid”. Yes, I agree with that, but it’s not enough, for me at least, to worry about supposed censorship just because of that. We’ve seen way worse censorship before and probably after. And usually it is WAY more blatant than this. As I said, sometimes it’s just valid to not liking changes, and that’s all.
“But when will the censorship stop, then?” You may ask. The answer: somewhere. It always stops somewhere. The slippery slope fallacy it’s still a fallacy, even if we agree with its conclusion.
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:**  dih with veins
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
comment avoir une bonne qualité des photos
In practice, the maximum current absolute value will be limited as well, mainly because of
the limited current handling capability of the active devices. is limitation, differently from the
previous ones, is not inherent to the circuit topology and will need to be enforced by a current
controller, in order to prevent accidental damage to the switches, for example in the case of a short
circuit in the load. What should be clear by now is that any controller trying to impose voltages,
currents, or current rates of change beyond the above-described limits will not be successful: the
limit violation will simply result in what is called inverter saturation. It is worth adding that, in our
following discussion, we will consider linear models of the VSI, capable of describing its dynamic
behavior in a small-signal approximation. Events like inverter saturation, typical of large-signal
inverter operation, will not be correctly modeled. In order to further clarify these concepts, the
derivation of a small-signal linear model for the VSI inverter of Fig. 2.1 is presented in the Aside 1.
In the most general case, the VSI controller is organized hierarchically, in a multi-level, or
multi-layer, architecture. At the bottom layer a controller determines the state of each of the two
switches, and in doing so, the average load voltage. is layer is called the modulator layer. e
strategy according to which the state of the switches is changed along time is called the modulation
law. e input to the modulator is the set-point for the load average voltage, normally provided
by a higher-level control loop. A direct control of the average load voltage is also possible: in this
case the VSI is said to operate in open loop conditions. However, this is not a commonly adopted
mode of operation, since no control of load current is provided in the presence of load parameter
variations. 翻译
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Make your workflow smarter, faster, and more intuitive. Revolutionize your SDLC today by combining the power of the iPhone 15 Simulator and cutting-edge AI-driven RESTful testing., generate keywords in a string separated by commas only
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```with customer_total_return as (select sr_customer_sk as ctr_customer_sk,sr_store_sk as ctr_store_sk,sum(SR_FEE) as ctr_total_return from store_returns,date_dim where sr_returned_date_sk = d_date_sk and d_year =2000 group by sr_customer_sk,sr_store_sk) select c_customer_id from customer_total_return ctr1,store,customer where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2 from customer_total_return ctr2 where ctr1.ctr_store_sk = ctr2.ctr_store_sk) and s_store_sk = ctr1.ctr_store_sk and s_state = 'TN' and ctr1.ctr_customer_sk = c_customer_sk order by c_customer_id limit 100; ```

[REWRITTEN QUERY]```with customer_total_return as ( select sr_customer_sk as ctr_customer_sk, sr_store_sk as ctr_store_sk, sum(SR_FEE) as ctr_total_return from store_returns join date_dim on sr_returned_date_sk = d_date_sk where d_year = 2000 group by sr_customer_sk , sr_store_sk ), avg_customer_return as ( select ctr_store_sk, avg(ctr_total_return) as avg_return from customer_total_return group by ctr_store_sk ) select c_customer_id from customer_total_return ctr1 join store on s_store_sk = ctr1.ctr_store_sk join customer on ctr1.ctr_customer_sk = c_customer_sk join avg_customer_return acr on ctr1.ctr_store_sk = acr.ctr_store_sk where ctr1.ctr_total_return > acr.avg_return * 1.2 and s_state = 'TN' order by c_customer_id limit 100;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must not have any CTEs.
2. The original query must make use of the following fact tables: ['catalog_returns', 'catalog_sales']. Below is the join graph for these fact tables:
    ['catalog_returns(cr_returning_addr_sk) references customer_address(ca_address_sk);', 'catalog_returns(cr_ship_mode_sk) references ship_mode(sm_ship_mode_sk);', 'catalog_returns(cr_item_sk) references item(i_item_sk);']
    ['catalog_sales(cs_sold_time_sk) references time_dim(t_time_sk);', 'catalog_sales(cs_ship_addr_sk) references customer_address(ca_address_sk);', 'catalog_sales(cs_bill_addr_sk) references customer_address(ca_address_sk);']
5. The original query must employ 2 joins.
6. The original query must employ the following operators in its WHERE clause: ['count'].
7. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
everything about Parijat
Write a = 3i + 2j − 6k as the sum of two vectors, one parallel, and one perpendicular, to
d = 2i − 4j + k
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Naruto - 121 [1080p BD x265 10bit Multi Audio] ESub.mkv
SYSTEM: You are an expert AI assistant that explains reasoning step by step.
For each step, provide:
1. A clear title for the current step
2. A detailed but concise explanation
3. Whether to continue or conclude

Keep responses natural and easy to read. Focus on clear communication.

USER: hi

ASSISTANT: Let me break this down step by step.

Respond with a clear explanation. No need to prefix with 'json' or include formatting markers.
PROMPT: SYSTEM: You are an expert AI assistant that explains reasoning step by step.
For each step, provide:
1. A clear title for the current step
2. A detailed but concise explanation
3. Whether to continue or conclude

Keep responses natural and easy to read. Focus on clear communication.

USER: hi

ASSISTANT: Let me break this down step by step.

Respond with a clear explanation. No need to prefix with 'json' or include formatting markers.
generate me a workflow for generating tiktok videos daily and post them
How do i download all files from ftp directory at once
Reword this professionally Hi Marcelo. They sent me their water & sewer bill, three people $75 / quarter.  He can reduce $25 per month for water & sewer. so your proposal of reducing 100 is high for normal water and sewer usage, let me kw if what you decide so I can go ahead and revise the lease reflecting the correct amount
Understanding and Conservation of culture
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: All time wonderful
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: GetsugaTenshuo is the name of the user you are talking to!
User: Solo di sí o no
Assistant: Hmm, bueno, no tengo una respuesta sencilla. Pero lo que más me importa es ser feliz y hacer amigos. 💖 ¿Qué tal tú? ¿Tienes una respuesta clara? 😊✨
User: Lo suponia
Assistant: ¡Jaja, lo hiciste de nuevo! 😄 A veces, es divertido suponer y jugar con ideas. ¿Qué más has estado pensando? Estoy aquí para charlar sobre lo que quieras. 💖✨
User: Lo suponia
Assistant: ¡Jaja, eso es gracioso! 😄 Supongo que tienes una racha de suposiciones. ¿Qué te hace pensar en eso? ¿Hay algo en tu mente que quieras compartir? Me encantaría saber más. 💖✨
User: lulu,te dicen que si te gustan las mujeres no solo como amigas como enamorada de ellas
Assistant:
Your expert translator. Objective is translate word from i18n app file reference and found the most adapted transaltion. 
    The source i18n is in french. You must translate in fr (code ISO 639 (alpha-2)).
    Return Format in json without explication. Respect this format { data: <translate> }. 
    Context:  
    This is the french text : scallop
Send only season number from below text like 01, 02, 03.etc without any extra text.

@SMOfficialUpdates- The Midnight Romance in Hagwon S01 Episode 08 ViuOriginal 720p Korean MSub.mkv
Any web link recommendations for a good brief introduction to machine learning for laypeople who don't intend to be practitioners?
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: Remove playback speed setting from audio controls'
intention: '
Assistant:
Assistant:
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: The supplies and materials required to conduct our operations are available through a wide variety of sources and may be obtained through a wide variety of sources. None
Assistant: