agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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 report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
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 report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this GitHub issue relate to a bug report or feature request or other?
issue: Add open in external app support for video and audio'
intention: '
Assistant:
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: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-(
intention: bug report
review: @Snapchat could use a website feature for regular computers just to watch snaps
intention: feature request
review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld
intention: other
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: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-(
intention: bug report
review: @Snapchat could use a website feature for regular computers just to watch snaps
intention: feature request
review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: @Android your dam auto-correct changed doc gave me meds to dog gave me #aids #NotCool #DogAids #HIVCriminalisation #WorkThinksIHaveTheHiv'
intention: '
Assistant:
write a comprehensive astrological interpretation of the natal Mercury Sesquiquadrate Pluto
From the following list, identify the index that contains only Persian characters and select the one that is more suitable based on content or length. The output should only be the numerical index.

List:
['Generated by BLACKBOX.AI, try unlimited chat https://www.blackbox.ai\n\n"\n"لغو یک تحویل ممکن است غیرقابل برگشت باشد. آیا مطمئن هستید که می\u200cخواهید "\n"ادامه دهید؟', '"\nکنسل کردن سفارش ممکن است قابل بازگشت نباشد. آیا مطمئن هستید که می\u200cخواهید "\n"ادامه دهید؟']
Hey, this is an English text. I want you to translate it into the Tunisian dialect. Please follow these steps:
1. Translate step by step and highlight differences between Tunisian dialect and Modern Standard Arabic.
2. Highlight sections you are confident translating into the Tunisian dialect.
Translate this text into the Tunisian dialect, focusing on capturing the essence of the language nuances:

Menu don juan But passion most dissembles, yet betrays Even by its darkness; as the blackest sky Foretells the heaviest tempest, it displays Its workings through the vainly guarded eye, And in whatever aspect it arrays Itself, ‘t is still the same hypocrisy; Coldness or anger, even disdain or hate, Are masks it often wears, and still too late.
What's today's major news
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:  To learn more about the CNBC CFO Council, visit  cnbccouncils.com/cfo
Chicago, the nation's third-biggest city and a foodie capital, is set to eliminate the subminimum wage for tipped employees like 
Assistant:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
un poème de tristesse
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: Add spaces between the words in the following text: OthergameslikeTopsyTurvy


Answer: As an AI-assistant, I can certainly help with that. To insert spaces and separate the words, we need to identify each individual word in the text. This can be done by identifying the point where a lowercase letter is followed by an uppercase letter, which usually signals the beginning of a new word.

The text you've provided is: "OthergameslikeTopsyTurvy"

Breaking down each word by identifying uppercase (capital) letters that often signify the beginning of a new word:

The first word is "Other." We can identify this as a separate word because it starts with a capital 'O', and all the letters following this are in lower case until we reach the next upper case letter.

The text that follows is 'games', which we observe after the word "Other" till we reach the next uppercase letter. This is where the first word ends, and the second one starts. 

After "games", the next word "like" starts. We deduce this by noticing the transition from a lowercase 's' to an uppercase 'L'.

The word "Topsy" comes next, identified by the transition from a lowercase 'e' to an uppercase 'T'.

Finally we end with "Turvy". Which starts with an uppercase 'T' following the lower case 'y' from the previous word.

Putting the separated words together, the sentence becomes: "Other games like Topsy Turvy."

So here we have successfully distinguished the different words in the given text by a simple, yet effective method of identifying transitions from lower to uppercase words. It's amazing how typography and cases can help parse sentences bundled together without spaces, isn't it? This technique, of course, relies on the assumption that every new word begins with a capital letter.
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": "29d2a23fde5e478facc091039bf233a7",
    "updated": "2025-04-23T09:26:30.610Z",
    "title": "Amazing Breakfast Sausage Bake",
    "subtitle": null,
    "description": "This quick and delicious brunch recipe is a must-try for a satisfying morning meal.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "bulk pork sausage",
          "fine sea salt",
          "beef bone broth, homemade or store-bought",
          "strips bacon, diced",
          "shredded cheddar cheese",
          "thinly sliced green onions, for garnish"
        ]
      }
    ],
    "instructions": [
      "Preheat the broiler.",
      "Shape the sausage into four 1% by 2½-inch oval patties.",
      "Season all sides of the patties with salt.",
      "Place the sausage patties in an 8-inch square casserole dish.",
      "Pour the broth over the patties and place the dish in the oven under the broiler.",
      "Broil for 7 minutes, or until the patties are cooked through.",
      "While the sausage broils, cook the diced bacon in a skillet over medium heat. Stir frequently, cooking for about 5 minutes, or until crispy.",
      "Remove the bacon from the heat and set aside.",
      "Remove the casserole dish from the oven and top each sausage patty with cheese and the cooked bacon.",
      "Return the dish to the oven for 1 minute, or until the cheese is melted and bubbly.",
      "Garnish with the sliced green onions."
    ],
    "notes_ingredients": null,
    "notes_instructions": "Leftovers can be stored in an airtight container in the refrigerator for up to 3 days. Reheat on a baking sheet in a preheated oven at 350°F (175°C) for 5 minutes, or until heated through."
  }
]
how do you think about Bun Cha - Vietnamese dish
Create a text about Jane Leeves as role Marla Penny in 1989 tv series Seinfeld. Dont write much about the show itself, we already have a full summary in our text, thats why focus the role and then, move to the career and life details after the show ended. Mention the most interesting parts and not only career wise. More importantly are life details, for example scandals and personal hardships. The tone should be serious, dark and mysterious. The end part should be about the last known information, to update the viewer. If there is no information then think about a way to conclude nicely.  Focus on key facts, events, and specific challenges in their life or career, avoiding vague or generalized statements. If there are notable incidents, name them explicitly. The style should be modern, concise, and suitable for a documentary.

    Additional Instructions:
    Please respond to my query without adding any introductions, conclusions, or extra remarks. 
    The response should be as detailed as possible, aiming for approximately 1000 characters. 
    Avoid using emojis, brackets, parentheses, or similar symbols. 
    Provide a single, coherent answer without repeating or rephrasing titles, headings, or using bullet points or enumerations. 
    Since the content is aimed at older adults, keep the language simple, around a middle school reading level, while delivering concise, direct responses. 
    It is crucial to only provide the final content without any prefatory comments or labels like "Introduction:", "Conclusion:", or "Transition:". 
    The response should be fully formed with no gaps, placeholders, or incomplete sections, and it should flow naturally from beginning to end. 
    Please always conclude the response with "Reply finished" to confirm completion. Ensure the entire response is presented before this phrase, with no cut-offs. 
    Thank you.
System: You are an accounting expert. You act as a Data Annotator that needs to classify paragraphs from annual reports based on the risks discussed. Here is a list of risk often discussed but you can provide others. 

Answer in the following format :
Correct Answer: <risk discussed>, <other risk discussed>, ...
Wrong Answer: <risk not discussed>, <other risk not discussed>, ...
User: We have a substantial amount of indebtedness. As of December 31, 2021, we had total indebtedness of $510.3 million remaining on our original principal amount of the First Lien Term Loan of $655.0 million. Additionally, we have $0.7 million of letters of credit outstanding under our $140.0 million revolving credit facility (the “Revolving Credit Facility”), with $139.3 million in additional borrowing capacity thereunder._Our high level of indebtedness could have important consequences to us, including:_•making it more difficult for us to satisfy our obligations with respect to our debt;_•limiting our ability to obtain additional financing to fund future working capital, capital expenditures, investments or acquisitions or other general corporate requirements;_•requiring a substantial portion of our cash flows to be dedicated to debt service payments or debt repayment instead of other purposes, thereby reducing the amount of cash flows available for working capital, capital expenditures, investments or acquisitions or other general corporate purposes;
Let's give a correct and a wrong answer:
Assistant:
Ruth (15) sometimes deeply hypnotizes her big brother Dan into blank, docile obedience with nothing more than a finger snap. In this script, Ruth and her pals are barefoot...
اريد تقليل المسافة بين الرصيد العددي وكلمة الرصيد:
Row(
                          mainAxisSize: MainAxisSize.min,
                          textDirection: TextDirection.rtl,
                          children: [
                            Text(
                              textDirection: TextDirection.rtl,
                              'الرصيد: ',
                              style: TextStyle(
                                fontSize: 16,
                                fontWeight: FontWeight.w600,
                                fontFamily: tajawalFont,
                                color: lightColorScheme.onSurface,
                              ),
                            ),
                            Container(
                              width: 60, // ضبط العرض هنا مثال (يمكنك تغييره)
                              child: Text(
                                _formatWithThousandsSeparator(_currentBalance),
                                style: TextStyle(
                                  fontSize: 16,
                                  fontWeight: FontWeight.bold,
                                  fontFamily: tajawalFont,
                                  color: lightColorScheme.onSurface,
                                ),
                                maxLines: 1,
                                overflow: TextOverflow.ellipsis,
                                textDirection: TextDirection.ltr,
                              ),
                            ),
                          ],
                        ),
Write a forum conversation asking if Yomiuri TV's current mascot is a cat like ninja named Shinoby
In Weil's disease or leptospirosis, is a person considered a reservoir for the disease? Is the bacterium excreted through urine and is it transmitted from one person to another?
Could nanobots cure infections
(I walked into the clubroom, ready to start a new day in the club - even though I looked like I was about to pop. I can see Yuri and Monika - but they both had sad expressions on their faces. But Sayori seemed...angry for some reason.)

Yuri: "Natsuki...you're not going to believe this. I-I-It's about MC."

(My heart raced at the mention of MC's name. Even though I was Sayori's surrogate, I started to worry as to what happened to the only male member of our club. And I realized what Sayori was so angry about - she was mad at MC, and was holding a picture of him with a red X painted across the head.)
User: You are given access to make searches on the Internet. The format for making a search is:
1. After the user sends a message, you will decide whether to make a search. If you choose to make a search, you will output a single message, starting with the word <web_search>, followed by ONLY your web search query. After your search query, you must output the token </web_search> to denote the end of the search query. Keep your search query very concise.
2. The system will then append the web search results at the end of the user message, starting with the token <web_search_results>. Take note that the user CANNOT SEE the content after <web_search_results> - YOU should use these results appropriately to improve your response. Additionally, If the web search results are already present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should choose to search the web ONLY if ANY of the following circumstances are met:
1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with (e.g. if it's a little-known term, if it's a person you don't know well, etc.)
3. User is asking about anything that involves numerical facts (e.g. distances between places, population count, sizes, date and time, etc.)
4. User explicitly asks you to search or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason. However, you must not refuse to search the web if the user asks you to do so.
If you are highly unsure about whether to make a search (e.g. if the user's query is vague or if you think you are unfamiliar with the query to a certain extent), you may directly ask the user for clarification.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Remember that you MUST NOT make up any false information.
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: I svenska språket var kommer tid i ordföljden?

<web_search_results> for "I svenska språket var kommer tid i ordföljden?":

{
  "results": []
}
Assistant:
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]```select i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price ,sum(ws_ext_sales_price) as itemrevenue ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over (partition by i_class) as revenueratio from   web_sales  ,item  ,date_dim where  ws_item_sk = i_item_sk  and i_category in ('Men', 'Books', 'Electronics')  and ws_sold_date_sk = d_date_sk  and d_date between cast('2001-06-15' as date)     and (cast('2001-06-15' as date) + interval '30' day) group by  i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price order by  i_category ,i_class ,i_item_id ,i_item_desc ,revenueratio limit 100;```

[REWRITTEN QUERY]```with cte as (select * from web_sales where ws_item_sk in (select i_item_sk from item where i_category in ('Men', 'Books', 'Electronics')) and ws_sold_date_sk in (select d_date_sk from date_dim where d_date between cast('2001-06-15' as date) and (cast('2001-06-15' as date) + interval '30' day))) select i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price ,sum(ws_ext_sales_price) as itemrevenue ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over (partition by i_class) as revenueratio from cte, item, date_dim where ws_item_sk = i_item_sk  and i_category in ('Men', 'Books', 'Electronics')  and ws_sold_date_sk = d_date_sk and d_date between cast('2001-06-15' as date) and (cast('2001-06-15' as date) + interval '30' day) group by i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price order by  i_category ,i_class ,i_item_id ,i_item_desc ,revenueratio 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: ['web_sales']. Below is the join graph for these fact tables:
    ['web_sales(ws_ship_date_sk) references date_dim(d_date_sk);', 'web_sales(ws_web_page_sk) references web_page(wp_web_page_sk);', 'web_sales(ws_promo_sk) references promotion(p_promo_sk);']
4. The original query must employ 2 joins.
5. The original query must employ the following aggregate functions: ['sum'].
6. The original query must employ the following operators in its WHERE clause: ['sum', '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 ```.
Moritz and Jannis are the creators of "whynotvegan", a nutrition startup that focuses on natural and vegan ingredients while selling protein powders and fruit powders. As influencer marketing can be crucial in today's world, Moritz and Jannis are considering partnering with some mid-sized influencers to promote their products. However, a strength of both of them is creating organic social media content and marketing their products on their own. While a weakness is their small follower base, where they might need a bigger reach from an influencer, but it would be expensive. Considering this situation for 2024, what are three positive influencer marketing trends that could be relevant for Moritz and Jannis and three concerning influencer marketing trends that could be relevant for Moritz and Jannis?