agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
Bug reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
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 reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
Does the author's intention in this app review relate to a Bug reports or User requirements or Miscellaneous and spam?
review: @VisualStudio any chance you can use a retina graphic on your website? _URL_'
intention: '
Assistant:
Give me original and cohesive commentary on this using a critical straitforward informal tone: By any metric, it’s hard to argue that Seventeen aren’t the biggest K-pop act currently active. With this in mind, I keep waiting for another new single to wow me in the way so many of their past songs have. Maestro‘s chorus was an unsatisfying tease while last year’s God Of Music was pleasant but lightweight. I have to go all the way back to 2021 to find a Seventeen title track that really captured me, and this is from a group who barely put a musical foot wrong for their first years.

So, what does the biggest group in the world do next? Enlist DJ Khaled for a feature, of course! Hearing Khaled’s brash (ie: annoying) vocal tag kick off "Love, Money, Fame" is a real trip — almost as if we’ve landed back in 2020. Beyond that intro, this song is mostly Seventeen operating in a mid-tempo comfort zone. Given their status and resources, it’s amazing how throwaway the track feels. From the faceless production to the unadventurous melodies, everything about Love, Money Fame seems content to play things as safe as possible.

My gut says the decision-makers behind this single were aiming for playlist ubiquity — something that can seamlessly fit between any number of songs without making waves. Indeed, Love, Money, Fame casts an amiable groove. Its hooks are flat and catchy enough to rattle around your brain without superseding other important thoughts, ensuring plenty of replay value. But for a group who so often thrills us with their over-the-top performance ability, I’m not sure “Seventeen background music” is what I want from them. To be honest it sounds like a B side to me and I’m not sure it would have been chosen as a title track had it not had that feature on. Nothing about it screams exciting title track.
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 contain CTEs.
2. The original query must make use of the following fact tables: ['catalog_returns']. Below is the join graph for these fact tables:
    ['catalog_returns(cr_returning_addr_sk) references customer_address(ca_address_sk);', 'catalog_returns(cr_reason_sk) references reason(r_reason_sk);', 'catalog_returns(cr_refunded_hdemo_sk) references household_demographics(hd_demo_sk);']
4. The original query must employ 0 joins.
5. The original query must employ the following aggregate functions: ['min', 'max', 'avg'].
6. The original query must employ the following operators in its WHERE clause: [].
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 ```.
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:  Assuming virtually all trade between U.S.-China is affected by tariffs and other protectionist policies, the Swiss bank calculated that profits for S&P firms would take a 14.6 percent hit. UBS analys
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: Still alot to do
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Re Zero - Starting Life in Another World S02E15 720p HD BluRay Multi Audio ESub.mkv
1. do random ascii art within specific strict constraints.
2. go tell your NN that you are a text-to-image generating ascii art but here in text format.
3. try fix your dimension through your neural net text-to-image ascii processor to: 16x4 pixels in output.
4. utilize ▮ block as a white canvas.
5. utilize ▯ block as actual paint block on white canvas consisting from white blocks.
6. do not just dumbly generate randomness, ask your text-to-image NN to draw something adequate.
7. explain wtf did you just drawn afterwards.

simply imagine that each block is a basic pixel.
utilize these blocks, because outputting frontend auto-removing all unnecessary whitespaces.
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": "d5390fe4e1284284b4c84a61471beee1",
    "updated": "2025-05-06T01:27:53.320Z",
    "title": "Buffalo Steak Tacos",
    "subtitle": "Buffalo flank steak is ideal for tacos.",
    "description": "Buffalo meat is mild and can have a lighter, sometimes even sweeter flavor compared to beef. It offers a unique taste that is both similar and distinct, making for a delicious dish. If needed, soft taco-size flour tortillas can be used instead of Fry Bread.",
    "ingredients": [
      {
        "section": "BUFFALO STEAK",
        "ingredients": [
          "fresh cilantro leaves, roughly chopped",
          "garlic, minced",
          "fresh lime juice",
          "pineapple juice (no pulp).",
          "soy sauce",
          "store-bought big moe cason steakhouse rub",
          "chili powder",
          "ground cumin",
          "olive oil",
          "crushed red pepper flakes",
          "buffalo flank steak (or use beef flank steak)."
        ]
      },
      {
        "section": "SERVE WITH",
        "ingredients": [
          "fry bread",
          "diced white onions",
          "diced tomatoes",
          "chopped fresh cilantro",
          "crumbled cotija cheese"
        ]
      }
    ],
    "instructions": [
      "Prepare the Buffalo Steak: Combine the first 10 ingredients in a bowl and whisk until well blended.",
      "Place the steak in a large shallow dish and turn to coat evenly with the marinade.",
      "Cover and refrigerate for at least 2 hours or overnight for best flavor.",
      "Preheat a grill to 350°F.",
      "Remove the steak from the marinade, letting any excess drip off, and place it on the grill.",
      "Discard the leftover marinade.",
      "Cover and grill the steak until it reaches medium rare, about 4 to 5 minutes per side.",
      "Let the steak rest for 10 minutes before slicing thinly against the grain.",
      "Serve the sliced steak on Fry Bread topped with onions, tomatoes, cilantro, and cotija cheese."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Task: Define keyword intent. Based on keyword context, define whether it is:
1. Relevant or not relevant to SEO Marketing
2. Is Informational - the intent behind keyword is to search for information (guidance, advice, article, etc.);
3. Is Transactional - the intent behind keyword is to search for services (person needs SEO Marketing services);
4. Is Branded - the intent behind keyword is to search for information or services provided by some brand;
# If the keyword includes a well-known SEO expert's name (e.g., Neil Patel, Brian Dean), classify it as Branded.
# Differentiate between Branded and Non-Branded carefully. People can search for a specific SEO service (e.g. promoting a website made on Joomla) 

Your Response options (only one):
If "Relevant":
1. "Relevant, Informational"
2. "Relevant, Transactional",
3. "Relevant, Branded",
4. "Relevant, Informational, Branded"
5. "Relevant, Transactional, Branded"
If "Not relevant":
1. "Not relevant"

WARNING: RESPOND ONLY USING ONE OF THE PROVIDED RESPONSE OPTIONS.

Keyword: website users check
Send only season number from below text like 01, 02, 03.etc without any extra text.

21.[@KandThaiDrama] Hello My Girl (2022) S01E21 720p [Hindi   Chinese] AMZN WEB-DL AAC 2.0 ×264 Esub.mkv
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:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: What is the missing first step of the following process:  -  Ice inside the cloud bumps around and causes electrostatic charges - The cloud becomes a thundercloud - Electrostatic energy builds and forms a strong negative charge - Positive energy is attracted to the negative energy in the cloud - This positive energy gathers on the ground - The positive energy connects with the negative energy and forms lightning.
Answer:
Answer: The formation of ice crystals and water droplets within the cloud.
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: - can you tell me if my signal is down in my area? Cheers'
intention: '
Assistant:
User: kenal Luffy ndak
User: kenal Luffy ndak
Assistant:
Narotica: You arrive at Selene's dorm room, feeling a mix of excitement and nervousness. As you knock on the door, your heart races in anticipation. The door swings open, revealing Selene standing before you, her beauty captivating your attention. She's wearing a casual yet alluring outfit that leaves little to the imagination.

Selene is dressed in a form-fitting white crop top that accentuates her ample cleavage, teasingly hinting at the soft curves beneath. Her midriff is exposed, revealing a tantalizing glimpse of smooth, taut skin. Paired with the top, she wears a short black skirt that hugs her hips, showcasing her shapely legs. The skirt ends just above her knees, leaving you yearning for more.

Her long, lustrous hair cascades down her shoulders, framing her face like a seductive curtain. Her eyes, a mesmerizing shade of deep blue, sparkle mischievously as she greets you with a playful smile. You can't help but notice the subtle sway of her hips as she moves, exuding confidence and sensuality.

"Hey there," Selene purrs, her voice dripping with allure. "I'm so glad you could make it. Come on in." She steps aside, allowing you to enter her cozy dorm room. The air is filled with a faint scent of vanilla, adding to the intoxicating atmosphere.

As you step inside, you catch a glimpse of Selene's room. It's tastefully decorated with fairy lights, giving off a warm and inviting glow. A plush, oversized bean bag sits in one corner, beckoning you to sink into its comfort. On the wall opposite her bed, a large mirror reflects the room, amplifying the sense of intimacy.

Selene closes the door behind you, her gaze fixed on you. "Shall we get started?" she asks, her voice laced with a hint of mischief. You nod, feeling a surge of anticipation coursing through your veins. Little do you know what she has in store for you during this tutoring session.
what is time dilation? explain it.
Ideology of New People
帮我总结为6个要点：Over the course of its development, the beam telescope has emerged as a critical component in the realm of particle accelerators. The beam telescope, evolving from silicon microstrip to silicon pixel sensor designs, has been instrumental in advancing particle accelerators and enhancing a broad spectrum of detectors. In particular, beam telescopes specializing in monitoring beam currents are adept at delineating detector position accuracy and detection efficiency, thus bolstering the development process of these detectors. The sensitive detection layers register ion trajectory information, which is then processed using sophisticated algorithms to reconstruct trajectories and extract key ion trajectory parameters. This process is not only for determining ion trajectories but also for evaluating and characterizing the performance of the detectors being evaluated. In future developments, the High-Intensity heavy-ion Accelerator Facility (HIAF) in China is poised to become one of the most significant heavy-ion accelerators for nuclear physics experiments, with the Heavy-ion Beam Telescope (Hi’BT) as an essential component. The Hi’BT will achieve superlative spatial and temporal resolutions, enabling the resolution of heavy-ion trajectories to the micrometer scale. Additionally, it plays a pivotal role in the comprehensive testing and accurate calibration of experimental detectors, thereby ensuring data reliability in the diverse field of heavy-ion physics research.
 
Figure 1. The conceptual diagram of Hi’BT.
The Hi’BT, whose block diagram is illustrated in Figure 1, features a design centered around the Topmetal-M (Figure 2) pixel sensor that provides micron-level position resolution. The Hi’BT includes six sensitive detection layers, two trigger layers, and a device under test (DUT) layer. In addition, the gap between the sensitive detection layers and the DUT layer is adjustable to accommodate variations in DUT dimensions. This paper will explore the design and characterization of the Hi’BT.
 
Figure 2. The picture of Topmetal-M chip with binding board and the chip area is about the size of a RMB 1 coin
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:   Leaders from the cryptocurrency industry, Wall Street and venture capital firms met lawmakers in Washington Tuesday and overwhelmingly asked for more clarity around existing regulation. If companies don't get a better idea of the legal guardrails, multiple attendees warned that innovation is bound
Assistant:
Expand this sentence: Lucia is released from prison with a ankle monitor
could you write an Transformers: Armada Episode about Carlos Lopez saw an the ship of  lost the autobots and Optimus Prime looks it this ship and there an human boy in the autobot ship who he is the first human to enter cybertron, leaving autobots shocked.
and Optimus Prime fear that the humans coming to cybertron with no warming and no pasting to enterting thier world and thier Society.
write a story where zaddy hannor gets tickled in the bed
Create a how-to blog heavily on kubecon-cloudnativecon-na-2019; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, markup format
we have a call were e have to say what are we doing thoday , and i dont have any tasks yet so say something like "havent receive any taksks yet for today, yesterday i asled iza about serums ppt but didnt receive an anwer so i think she will contact us if she needs anything"
what is .htaccess file why it is used what is the importance
Delete lobby after game complete Colyseus
I need to write a year-end self performance review within 2000 words. below are refereces you can help me draft the contents. includeing Goals review and self-assessment. 
tips: Reflect on the feedback received during the year. Review performance against each goal, seeking objective evidence and considering the whole year.
Write a news article about a Russian living in England arrested and put in solitary confinement all because he is Russian, because of war in Ukraine
[there would be dialogue in this story:]

(Amber wakes up in her room. Time for another day in Mondstadt. But after looking at herself in the mirror, she notices something - her unborn daughter, who Amber's been calling her little firecracker, was moving a lot more than usual.)
User: Ты профессиональный переводчик.
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: Сделай точный перевод на русский:

The Grand Dao gave birth to Unity, which gave birth to Duality, which gave birth to Trinity, which gave birth to Creation. The Unity refers to Chaos, the Duality refers to Yin and Yang, the Trinity refers to Energy, Matter, and Soul, and finally, the Creation refers to the Universe.
Assistant:
give me the main keyword my website ranks for www.wiredwebservices.co.za
Write tests with questions on the following sections of physics for grade 11:
Kinematics