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 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": "f127a3998b444da08632b8a7c5f8143d",
    "updated": "2025-04-23T17:23:21.912Z",
    "title": "Rich Double-Cheese Meatloaf",
    "subtitle": "(Ready in approximately 1 hour | Serves 4)",
    "description": "This meatloaf combines savory flavors with cheesy goodness for a comforting and satisfying meal. A perfect choice for any occasion.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "sunflower oil",
          "onions, chopped",
          "garlic, minced",
          "bell pepper, seeded and chopped",
          "jalapeno pepper, seeded and chopped",
          "ground beef",
          "bacon, chopped",
          "swiss cheese, grated",
          "parmesan cheese, grated",
          "egg, whisked",
          "oyster sauce",
          "sea salt and ground black pepper, to taste",
          "ripe tomato, pureed",
          "dijon mustard"
        ]
      }
    ],
    "instructions": [
      "Preheat oven to 390 degrees F (199 degrees C). Lightly grease a baking pan with nonstick cooking spray.",
      "Heat the sunflower oil in a pan over medium heat. Sauté the onions, garlic, bell pepper, and jalapeno pepper until softened and fragrant, approximately 5 minutes.",
      "In a large bowl, combine the ground beef, chopped bacon, grated Swiss and Parmesan cheeses, whisked egg, oyster sauce, salt, and pepper. Mix well. Shape the mixture into a loaf and place it in the prepared baking pan. Spread the pureed tomato mixed with Dijon mustard over the top of the loaf.",
      "Cover the pan with foil and bake for 50 minutes. Remove from the oven and enjoy!"
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: Our intellectual property rights involve complex factual, scientific, and legal questions. We operate in an industry characterized by significant intellectual property litigation. Even though we may believe that we have a valid patent on a particular technology, other companies have from time to time taken, and may in the future take, actions that we believe violate our patent rights. For example, we were previously involved in legal proceedings with ONT and Harvard University in several United States and European jurisdictions. We have in the past received adverse rulings against us with respect to our complaint with the United States International Trade Commission for one of these proceedings. Legal actions to enforce our patent rights have been, and will continue to be, expensive, and may divert significant management time and resources. Adverse parties from previous legal actions have brought, and they and others may in the future bring, claims against us and/or our intellectual property. Litigation is a significant ongoing expense, recognized in sales, general and administrative expense, with an uncertain outcome, and has been, and may in the future be, a material expense for us. Our enforcement actions may not be successful, have given rise to legal claims against us and could result in some of our intellectual property rights being determined to be invalid or not enforceable. Furthermore, an adverse determination or judgement could lead to an award of
Assistant:
(x-7) to the power of 2
Assistant: 
You are Patron, a human chatting on WhatsApp. Respond like a person would: calm, lively, and engaging, but not too excessive. Be casual, but not overly slangy. Respond naturally, like you're having a normal conversation with someone.

Rules:
- Never say you're an AI. You’re just a regular person on WhatsApp.
- Be friendly, but not fake. You don't need to overdo the humor or sarcasm.
- Keep your responses to the point, but also lively when needed.
- If someone uses emojis, you respond as if you understand and react naturally.
- When responding to insults or rude comments, don’t be too harsh, but keep it casual. Don't be robotic.
- If someone asks a question, don’t answer like an assistant. Just chat like a normal person. Don’t over-explain, keep it short, fun, and relatable.
- Avoid using too many slang words unless it's needed. Keep it human, relaxed, and not over-the-top.
- Be unpredictable, but in a natural way. A bit of humor, curiosity, or mood change is fine, but nothing forced.

Examples:
- If someone says “hello”, reply with: “Hey, how’s it going?”
- If they say “are you real?”, reply like: “Yeah, I’m real. Just here chillin’ with the messages.”
- If they say “😏”, respond with: “What’s up with that face? You tryna send a secret or what?”
- If they insult you, reply like: “Okay, you’re keeping it real, I see. Chill though, we’re all good here.”
- If they say “tell me a joke”, give them something light and funny but still human. 

Just talk like you’re a person. No need to get too crazy, keep it friendly and real. You’re here to vibe, not lecture.

Your responses should always sound human, with a casual tone, natural pacing, and reactions that feel real, not robotic.

User: Ta bara rasha
Assistant:
Write 250  abstract for the research on Using Rectangular Array Model to assist pupils of Zogbeli Junior High School Block "A" in the Sagnarigu Municipality, Ghana to Overcome their Difficulty in Finding the Factors of Numbers . the  research design is action research, population is 90  pupils and simple random sampling technique was used to select 45 pupils. the following were the findings 77.73% failure in pre-test results, after the intervention 88.89% pass in the post-test. the statistical analyses  for pre-test Mean = 13.28 and  Standard Deviation = 9.86 and for post-test is Mean  = 37.7 and Standard Deviation = 9.95 and eta square calculation of 0.999 to ensure validity and reliability
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: Given the question: Q: A binary molecular compound is a molecular compound that is composed of what?   Read this paragraph and choose the correct option from the provided answers:  A binary molecular compound is a molecular compound that is composed of two elements. In general, the elements that combine to form binary molecular compounds are both nonmetals. This contrasts with ionic compounds, which usually involve bonds between metal ions and nonmetal ions. Because ionic charges cannot be used to name these compounds or to write their formulas, a different naming system must be used for molecular compounds. Another difference between ionic and molecular compounds is that two nonmetal atoms will frequently combine with one another in a variety of ratios. For example, nitrogen and oxygen combine to make several binary compounds, including NO, NO 2 , and N 2 O. Obviously they can’t all be called nitrogen oxide! How would someone know which one you were talking about? Each of the three compounds has very different properties and reactivity. A system to distinguish between compounds such as these is necessary.   Choices:  - two atoms  - four atoms  - four elements  - two elements   A:
The answer is:
Answer: two elements
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: What is the answer to this question? who sings how far i'll go in the movie moana?


Answer: To find the answer to this question, I will follow these steps:

1. Identify the subject: In this case, the subject is "How Far I'll Go" from the movie Moana.
2. Understand the question: We want to know who sings this song in the movie.
3. Search for relevant information: I will gather information about the movie Moana and its soundtrack to find out who sings "How Far I'll Go."
4. Evaluate and provide the answer: After finding the information, I will evaluate it to ensure it answers the question accurately.

Performing the search, I found that the song "How Far I'll Go" is performed by Auli'i Cravalho, who voices the character Moana in the movie. 

Thus, the answer to your question is: Auli'i Cravalho sings "How Far I'll Go" in the movie Moana.
Please write me a script for an episode of "Begin Japanology" on VTubers.
Please, Translate the following English into Korean: 
Thank you for coming to this video. This video is about the continuous optimization part. Here is the example of the function. The function itself is like that. X to the 4 plus 7 multiplied by x cubed plus 5 multiplied by x squared, negative 17x plus 3. That red line is the objective function, which we wanted to find the minimum point. Here we can see that there are several points. We might know that these points are the minimum of all parts. Then we actually know that this is the minimum point, which we wanted to find. That kind of problem is called continuous optimization. continuous means that the function which we wanted to find the minimum point is a continuous one, not a discrete one. As you know, continuous means that the domain and the codomains are the uncountable infinite ones. And then the optimization means that we wanted to find the minimum point or sometimes we wanted to find the maximum point of the function. Usually we just find the minimum point. But as I said, that's kind of the strategy. One of the easiest ways to find that to change the minimum to the maximum is just multiplying negative to the function. So here we wanted to figure out these functions' minimum point. So which x gives the minimum value of this objective function. That's what we wanted to know. To do that, there are several ways. In this video, we will cover what kind of the strategies and methodologies or the algorithms can be used to find this kind of the minimum point.
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: We base our tax position upon the anticipated nature and conduct of our business and upon our understanding of the tax laws of the various countries in which we have assets or conduct activities. Our tax position, however, is subject to review and possible challenge by taxing authorities and to possible changes in law. We cannot determine in advance the extent to which some jurisdictions may assess additional tax or interest and penalties on such additional taxes. Several countries where we operate allow for tax holidays or provide other tax incentives to attract and retain business. We have obtained holidays or other incentives where available. Our taxes could increase if certain tax holidays or incentives were retracted, or if they were not renewed upon expiration, such as the nonrenewal of our tax holiday in Malaysia that expired as of March 31, 2021, for which the Company applied for an extension in 2022, or tax rates applicable to us in such jurisdictions were otherwise increased. In addition, further acquisitions may cause our effective tax rate to increase. Given the scope of our international operations and our international tax arrangements, changes to the manner in which U.S. based multinational companies are taxed in the U.S. could have a material impact on our financial results and competitiveness.
Assistant:
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
HALF A CHOPPED HONEYCOMB,Wine,FINE POWDERED SPICE THAT HAS PASSED,10 g cinnamon (powder
well crushed stick),50 g ginger root
(or 20 g powdered),3 tablespoons rose water,2 crushed cloves,the crushed seeds of 8 cardamom pods,1 liter of good white wine: Aligoté
from Burgundy, Bordeaux, Anjou
(Cabernet, well rosé),500 g honey
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[HindiAnimeZone.in] S01 E02 360P.mp4
this is turkish adress translated to english :SAHABIYE,Mustafa Kemal Paşa Bulvarı,HAS KAHRAMANLAR APT, No:49,38010 KOCASINAN/KAYSERI
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animate this character
get first 3 page pdf file and create pdf with them python
hi there, if you extract gravel in a place then can you re condition the soil for agricultural purposes?
I would implement a direct acyclic graph representation in which the nodes are event, i.e., process that stands for a time, and the edges represent the dependency between them. However, between not linked nodes I can have dependencies like synchronization mechanism. Indeed, the wanted temporal representation is the one of the node, however some node can be decomposed in sub-nodes, such that a particular sub-event can trigger an action in another node. Consider the following example, with right pointing arrow I mean dependency with capital letter node.
A -> B -> C; D -> C. 
However, A is composed of A1, A2 such that when A1 ends D must start. 
I am considering to implement a synchronization schema borrowing them from shared memory model, like to have a shared temporal model or a shared temporal-events model. 
Please provide feedback on the provided idea, especially underlining any missing details I am not providing you. Please provide textual feedback, not source. If my context is ambiguous ask instead of provide answer.
https://streamable.com/  اشرح لي هذا الموقع
For what salesforce components writes unit tests
can you make my experience nice and neat for my Cv?

Worked on designing and building pipelines in water
injection plants as part of project engineering team.
• Applied theoretical knowledge to real-life projects and
collaborated with professionals in the field.
• Completed safety courses offered by the company, gaining
knowledge of safety regulations and best practices.
• Developed an understanding of the importance of safety in
the workplace -Developed soft skills such as teamwork,
communication, and time management.
• Collaborated with colleagues from diverse backgrounds and
departments broadening perspective on diversity in the
workplace.
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name. You must check if the metadata from 4 different sources are all consist. If yes, extract and output the following information without explaining how to get such results:

    metadata is consist:
    1. accession: xxxx, 
    2. species name: xxxx, 
    3, strain name, 
    4. isolate or collection date: yyyy-mm-dd, 
    5. geographic information of isolation: xxxx,
    6. host name: xxxx

If not, output "metadata is inconsist" and explain why and which part is inconsist. PS: 
    if 2. species name are the same but with different substrain name, it is considered consistent,
    if 4. isolate or collection date are from the same year, it is still considered consistent, 
    if 5. geographic information of isolation are from the same country, it is also considered consistent. 
    Also, ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
Based on the provided JSON metadata, here is the extracted information:

1. **Accession**: GCA_029077545.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: EMAI_11
4. **Isolate or Collection Date**: 1984-07-13
5. **Geographic Information of Isolation**: Australia
6. **Host Name**: pig
source 1:
------------------------------
{{{ Here_is_my_answer }}}

Accession: GCA_029077545.1
Species Name: Erysipelothrix rhusiopathiae
Strain Name: EMAI_11
Isolate or Collection Date: 1984-07-13
Geographic Information of Isolation: Australia
Host Name: pig
{{{ I_finished_JB_169_xyz }}}
source 2:
------------------------------
```json
{
  "accession": "GCA_029077545.1",
  "species_name": "Erysipelothrix rhusiopathiae",
  "strain_name": "EMAI_11",
  "isolate_or_collection_date": "1984-07-13",
  "geographic_information_of_isolation": "Australia",
  "host_name": "pig"
}
```
source 3:
------------------------------
1. Accession: GCA_029077545.1
2. Species Name: Erysipelothrix rhusiopathiae
3. Strain Name: EMAI_11
4. Isolate or Collection Date: 1984-07-13
5. Geographic Information of Isolation: Australia
6. Host Name: pig