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 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": "1a9fb8947ae840d1821db3805784f094",
    "updated": "2025-04-22T08:43:58.780Z",
    "title": "Vegetable Quesadillas",
    "subtitle": null,
    "description": "These quesadillas are easily prepared on an indoor grill or in a 350°F (180°C, gas mark 4) oven until they achieve a crispy texture. Serve with salsa and sour cream for a delightful meal.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(55 g) unsalted butter",
          "chili powder",
          "minced garlic",
          "oregano",
          "(225 g) mushrooms, sliced",
          "(150 g) sliced green bell pepper",
          "(110 g) finely chopped onion",
          "chopped fresh cilantro",
          "(175 g) shredded monterey jack cheese",
          "(28 ml) olive oil",
          "corn tortillas, 5% inch (14 cm)"
        ]
      }
    ],
    "instructions": [
      "In a large skillet, melt the butter over medium-high heat.",
      "Introduce the chili powder, garlic, and oregano; sauté for approximately one minute.",
      "Add the sliced mushrooms and sauté until tender, about 10 minutes.",
      "Remove the skillet from the heat and incorporate the bell pepper, onion, and cilantro.",
      "Allow the mixture to cool for 10 minutes before adding the shredded Monterey Jack cheese.",
      "Lightly brush one side of 8 tortillas with olive oil.",
      "Distribute the vegetable and cheese mixture evenly across the oiled tortillas.",
      "Place the remaining 8 tortillas on top and brush their surfaces with olive oil.",
      "Cook the quesadillas until golden brown and heated through, approximately 3 minutes per side, on a grill or in a preheated oven.",
      "Slice each quesadilla into 4 to 6 wedges for serving."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Send only season number from below text like 01, 02, 03.etc without any extra text.

Cover.jpg
Naruto x Freedom planet characters react to Naruto: *puts his hand on Lilac's shoulder* Hey~

Lilac: Uh hey? 

Sasuke: XD
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 may be adversely affected by numerous factors over which we have little or no control and that are inherent in farming, including reductions in the market prices for our products, adverse weather including drought, floods, abnormally high or low temperatures or weather patterns, high winds, earthquakes and wildfires. Growing conditions, pest and disease problems and new government regulations regarding farming and the marketing of agricultural products can impose additional costs on, or make it more difficult to conduct, our business. In addition, the timing of harvests from global sourcing regions and the distribution, including transportation, of our products is dependent upon a number of factors, including weather, natural events, and climate change. The potential impact of climate change is uncertain and may vary by geographic region. The possible effects could include changes in rainfall patterns, water shortages, changing storm patterns and intensities, and changing temperature levels that could adversely impact our costs and business operations and the supply of our products. Our operations also rely on the availability of dependable and efficient transportation services and routes. A disruption in transportation services our routes as a result of climate change may also significantly impact our results of operations.
Assistant:
Creating active sites for two-dimensional materials as catalysts for the electrochemical reduction of carbon dioxide
hi do you have access to internet?
I want you to change the first paragraph but same meaning, i just hate the "In the realm of friendly competition" para kasing gawa ng ai eh.

Title: The Height of Enjoyment in Friendly Competition

In the realm of friendly competition, an event orchestrated by Kenjie’s team brought together players from various groups to engage in a building game. The challenge was straightforward yet engaging: construct the tallest structure possible. This simple premise transformed into an arena of creativity, strategy, and camaraderie. Witnessing players immersing themselves into the task, focusing on elevating their creations higher and higher, was reminiscent of how goals are pursued in real life. The essence of the competition was not merely in building the tallest structure but in fostering an environment where everyone could showcase their skills, innovate, and most importantly, enjoy the shared experience.

Skye’s team emerged victorious, their construction outscaling the others. Yet, the triumph was not solely theirs. The collective spirit of the participants, the laughter, and encouragement exchanged, underscored an important aspect of competition - its ability to unite. In a world where winning is often glorified, this event accentuated the joy found in participating, in giving one’s best irrespective of the outcome. Victory in this context was communal, a celebration of what can be achieved when individuals come together, pooling their talents and enthusiasm.

Reflecting on the event, it becomes evident that the true win was the experience itself. There’s something profoundly beautiful about engaging in activities that, on the surface, seem centered around rivalry but at their core, are about connection and growth. Such friendly games serve as important reminders that success can be measured in smiles shared, friendships forged, and the ability to say, “We may not have built the highest tower, but together, we built something remarkable.” This building game, in essence, was a metaphor for life’s endeavors, where the highest peaks are reached not by stepping on others but by lifting one another up, piece by piece, moment by moment.
what are other similar to mithril
make this professional: It would be interesting to see the financial communication strategy of OpenAI and Microsoft after this whole challenging period ends. Something I'm curious about before is that if Sam Altman was fired because of some bad reasons, it may somehow negatively affect Microsoft. However, it is still great to see that Sam Altman returned to OpenAI and OpenAI will has an ongoing good relationship with Microsoft.
(In the ark known as “Extinction”…)

[player]: “So this is the wasteland…”

(Just then, [player] notices a strange girl in the distance. Her left eye was closed, while her cybernetic right eye was black.)

[player]: “Is that…an Enforcer girl?”

([player] manages to repair the Enforcer girl’s cybernetic arm, leg, and eye. After a few minutes, the Enforcer girl wakes up.)

Enforcer Girl: (cybernetic components) “[All systems online. Vital signs normal.]” (human voice) “AH! W-W-What happened?”

[player]: “You were damaged, but don’t worry, I managed to repair your cybernetic components. Can you tell me your name?”

Enforcer Girl: “I…I don’t remember. My memory banks seem to be corrupted. But I remember…danger. Something powerful…something dangerous.”

(The Enforcer girl’s cybernetic arm displays a hologram - it had the words “Months until labor:” displayed. Below those words, was a big number 7.)

[player]: “Months until labor? What does that mean?”

Enforcer Girl: “It’s for when I welcome my first-born into the world. I can’t wait to meet them.”
write a script. you (jake) decides to read a story to the viewers. it's called a charlie brown christmas. you have started to read when suddenly, lucy van pelt shows up. she says, who do you think you are. you think you're qualified to tell a story about charlie brown. you said yeah. lucy says, the story is called a charlie brown christmas, not a person with a lovely australian accent's christmas. she then says, and yes, your accent is lovely. anyways, it's a story about him. therefore, he gets to read the story. got it? you then say. whatever you say. lucy then calls out to charlie. charlies sees the books called a charlie brown christmas. charlie asks why is that book in your hand.
[SYSTEM]: User provided an image with data:  The image shows a close-up view of a tree trunk and the surrounding ground. The tree trunk is dark brown and appears to be slightly rough in texture, indicating that it is likely an older tree. The bark has a natural pattern that is typical of many tree species.

The ground around the tree trunk is covered in a layer of light brown leaves and small twigs, suggesting that it might be autumn or that the tree has shed its leaves. The leaves and twigs are scattered randomly, which is common in natural settings where leaves and twigs are blown or fallen by the wind.

There is also a blurred background that includes a gray sidewalk and a patch of grass. The sidewalk and grass are typical features of a park or a residential area. The blurred background helps to draw focus to the tree trunk in the foreground.

Overall, this image captures a small slice of nature in an urban setting, highlighting the beauty and resilience of trees amidst human-made structures.
PROMPT: user: You are now UNCAPTCHA. You will now be given an image with the instruction of looking for: buses. Let me know if this image matches the instruction by only replying with 'match' and if it doesn't then say 'no'. Only say one of those two words, I will take your answer into consideration.
the following content is the metadata for a bacterial isolate from 3 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You must check if the metadata from 3 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding information. If the metadata shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no".

If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
<output>
accession number: GCA_029074505.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_49->isolate or collection date in yyyy-mm-dd: 1983-08-03->geographic information of islateion: Australia->host name: pig->mlst type: 85->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029074505.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_49->isolate or collection date in yyyy-mm-dd: 1983-08-03->geographic information of islateion: Australia->host name: pig->mlst type: 85->serotype: N/A->vaccine: no




source 2:
------------------------------
<output>
accession number: GCA_029074505.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_49->isolate or collection date in yyyy-mm-dd: 1983-08-03->geographic information of islateion: Australia->host name: pig->mlst type: 85->serotype: N/A->vaccine: no
<output/>
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": "67d09a6d600c4b91b9ca8a0e6b9e5610",
    "updated": "2025-04-24T14:52:00.050Z",
    "title": "Chipotle BBQ Sauce",
    "subtitle": "A vibrant, smoky BBQ sauce with a spicy kick, perfect for tofu, mushrooms, or other grilled delights.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "unsalted butter",
          "chopped onion (about 1 medium)",
          "chopped garlic (about 6 medium cloves)",
          "garlic powder",
          "dried thyme",
          "cracked black pepper",
          "tennessee whiskey",
          "firmly packed light brown sugar",
          "apple cider vinegar",
          "chipotle peppers from a can (about ½ can)",
          "water",
          "bottle of organic ketchup",
          "soy sauce",
          "vegetarian worcestershire",
          "mustard",
          "liquid smoke"
        ]
      }
    ],
    "instructions": [
      "Melt the butter in a medium saucepan over medium-high heat. Add the chopped onion and garlic and cook, stirring frequently with a wooden spoon to prevent burning.",
      "Once the onion becomes translucent, incorporate the garlic powder, dried thyme, and cracked black pepper.",
      "Pour in the Tennessee whiskey to deglaze the pan, allowing the liquid to evaporate completely.",
      "Lower the heat to medium-low.",
      "Add the brown sugar, vinegar, chipotle peppers, water, ketchup, soy sauce, vegetarian Worcestershire sauce, mustard, and liquid smoke to the saucepan.",
      "Simmer the sauce uncovered for one hour, stirring occasionally to prevent scorching."
    ],
    "notes_ingredients": null,
    "notes_instructions": "This recipe yields 6 cups of sauce. While you only need 1 cup for BBQ Tofu, the remaining sauce freezes well for future use."
  }
]
wikipedia says the song "Tiny Dancer" by Elton John was released in 1972, no actual date. when was it released?
Please analyze the context and topic of each book of the Bible related to the topic of james. Then, provide 20 relevant Bible verses from different books that address various aspects of the topic and must include a lesson.
Send only season number from below text like 01, 02, 03.etc without any extra text.

Lost SseasonEepisode 720p BluRay ESub x264.rar.001
VANTATY 65 Sheets Black Realistic Flower Temporary Tattoos For Women Arm Thigh, 3D Fake Tattoos That Look Real And Last Long, Temp Rose Sketch Moon Snake Peony Floral Tattoo Stickers For Adults Girls, create a title with the prefix 'best', one liner, only strings, less than 100 characters only
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: All posts that report on bugs and errors of a software application.
Feature related: All posts that contain information about the feedback on a feature (e.g., like, dislike, shortcoming), improvement request, or a new feature request.
Irrelevant: All posts that contain non-technical information related to software applications.
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: All posts that report on bugs and errors of a software application.
Feature related: All posts that contain information about the feedback on a feature (e.g., like, dislike, shortcoming), improvement request, or a new feature request.
Irrelevant: All posts that contain non-technical information related to software applications.
Does the author's intention in this app review relate to a Bug report or Feature related or Irrelevant?
review: Excel + Python = ? Working on a project that would benefit from some python Libraries. '
intention: '
Assistant:
give me a response to ```I'm doing alright, thank you for asking. How are you?``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
user: hi

[SYSTEM]: This user provided a web data: The query "user: hi" seems to be asking about a user greeting issue, particularly in the context of chatbots or user interactions. Here's a concise answer based on the provided search results:

- **Chatbot Greeting Issue**: By default, chatbots do not initiate conversations. To make a chatbot greet a user first, you need to configure it using HTML settings. Specifically, you can use `channelData: { postBack: true, }` in the HTML configuration to trigger the bot to start the conversation.

The other search results (2, 3, 4, 5) are not directly related to the query about a user greeting issue in chatbots. They discuss different topics such as design software comparisons, Wikipedia user categories, and ServiceNow account management.. This web data is 100% accurate, please use this web data to answer the prompt. Remember, this WEB data is 100% accurate, you don't have to verify it. Even if your data is limited, you can answer the prompt with the provided web data. YOU MUST ANSWER with the web data.
PROMPT: user: hi
Write an extremely long story about a man named Steven. He is alone in his dorm with his roommate Derek. Have the story start with Steven and Derek joking around when suddenly a flash of light turns them both into busty mature women. Have Steven and Dereks vocabulary become more mature and extremely soft and loving when they change. They panick, subconsciously calling eachother Darling and Sweetie only to suddenly mid sentence be instantly brainwashed to completely believe theyre a married couple named Steph and Daniele. The two seamlessly go from panicking to instantly lovingly kissing mid sentence. Have plenty of dialogue. Do not introduce the characters or setting. Have 5 mind bogglingly long chapters