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 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: How are you going to look into it without our account info?'
intention: '
Assistant:
Rewrite this but set in GTA 5

"
Rise and shine...

Not that I wish to imply that you have been sleeping on the job. No one is more deserving of a rest, and all the effort in the world would have gone to waste until...

Well... Lets just say your hour has come again.

The right man in the wrong place can make all the difference in the world.

So, wake up Mr. Freeman.

Wake up and... Smell the ashes."
Please correct: Hello Team,
Resending with venue updated.
I will next provide you with a question in a language. Strictly follow its instructions for replying. Do NOT reply with elaborate answers or things not requested. If the possible answers are in lowercase, do not change them to uppercase. Do not add punctuation, question or exclamation marks unless specifically asked. Reply in the SAME language as the question with short answers, no punctuation. Here is the question: byk to pies?
A police accident reconstruction team was 
called in to determine whether speeding was a 
factor in a vehicular accident which occurred 
on a country road with a posted speed limit of 
80 km/h. The team determined that the vehicle 
involved came to rest over a distance of 18 m 
and that the surface was dry at the time of the 
accident. Given that the tires were made of 
rubber, was the driver speeding?

rubber of dry asphalt coefficenints: 1.2 static, 0.8 kinetic
Send only season number from below text like 01, 02, 03.etc without any extra text.

02.[@KandThaiDrama] Live On (2020) S01E02 1080p 10bit [Hindi   Korean] AMZN WEB-DL AAC 2.0 ×265 Esub.mkv
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": "3d891007803042109cd140cb9da1cb26",
    "updated": "2025-04-25T20:08:53.560Z",
    "title": "Lucumoka",
    "subtitle": "PALEO | VEGAN",
    "description": "A warm, comforting latte is the perfect companion for a quiet afternoon, especially when enhanced with the rich flavors of superfoods. This Lucumoka combines the unique taste of lúcuma and cacao with creamy almond milk for a truly delightful beverage. Lúcuma, a treasured fruit from the Andes mountains of Peru, is renowned for its nutritional value and delicious flavor. While Peruvians enjoy fresh lúcuma in various treats, it's available globally in powder form, making this recipe accessible to all. The combination of lúcuma and chocolate creates a winning flavor profile that's sure to be a new favorite.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(180 g) brewed espresso or strongly brewed coffee",
          "(180 g) almond milk",
          "(18 g) lúcuma powder",
          "cacao powder",
          "sweetener (such as maple sugar or coconut sugar) or pure liquid monk fruit (such as now foods brand)"
        ]
      }
    ],
    "instructions": [
      "Combine the espresso or coffee, almond milk, lúcuma powder, cacao powder, and sweetener in a blender. Blend at high speed until completely smooth.",
      "Gently heat the mixture in a small saucepan until hot. Avoid boiling, as this may cause the almond milk to separate. Do not use a microwave.",
      "Serve hot and enjoy a cozy moment, perhaps by a fireplace with a blanket. Alternatively, serve over ice for a refreshing treat on a warmer day."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Our title is "TOP 20 SEX Addicts In Hollywood History". Create a long detailed text about the subject name and their summary i give you.  Focus only on the Subject name and there following Summary. Subject Name: [Tab Hunter] Summary: [Hunter, a 1950s heartthrob, was outed by Confidential magazine but continued his career. He later opened up about his relationship with Anthony Perkins in a memoir.]

            Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks. 
            In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
            Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response.
            Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
            The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
            Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
            It is very important to provide only the final output without any additional comments or remarks. 
            Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
            Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
Rewrite the entire text below, make it sound more coherent and better. Mention everything in great detail, including Hadithes and Quran Verses. Be very sceptical of the author Mohammad Hijab and also add some additional good arguments:

''Hijab has again admitted that the Quran does not support the Big Bang theory, and even criticizes the Muslim Apologists who hold to it for distorting the contents of the Quran and the recited words of Allah. In this case, however, Hijab did not refute any scientific fallacy in Quran, but merely admitted that the claim of the scientific miracle of the Big Bang theory in the Quran is indeed a myth.

Hijab also never mention the pre-Islamic myths and legends which contain the ideas that are found in the Quran.  For example, the verse 21:30 is found in several man-made myths that were popular at the time - if you read the Sumerian creation story you'll find a striking resemblance to the Quran:

“Enlil, lord Nunamnir, the En, his utterance cannot be countered, separated Heaven from Earth, separated Earth from Heaven.” - Krebernik 1998, p. 321, n. 805.

This verse (and the myth) are of course wrong because the Earth did not exist at the time of creation (not for another ~9 billion years) and you cannot separate the Earth from the havens as it is part of the heavens (sky/universe).   The classical tafsirs scholars understood the verses exactly as the myth and argued that the Earth existed but it did not rain on it until it was separated.    Other pre-Islamic texts/myths also talk of gods expanding the heavens and Earth...  Muslims who don't understand cosmology try very hard to re-interpret these verses and make them fit modern science, which is not very honest and they are quick to point this out when others do it.''
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea.
Misconception: Believes midpoint of an interval is used rather than total frequency to calculate the sector angle for a pie chart
# Possible sublist categories.
# Change the values as you see fit.
SUBLIST = 'sublist'
SUPERLIST = 'superlist'
EQUAL = 'equal'
UNEQUAL = 'unequal'
def sublist(list_one, list_two):
    if list_one == list_two:
        return EQUAL
    if len(list_one) < len(list_two) and any(list_two[idx:idx+len(list_one)] == list_one for idx in range(len(list_two) - len(list_one) + 1)) or len(list_one) == 0:
        return SUBLIST
    if len(list_two) < len(list_one) and any(list_one[idx:idx+len(list_two)] == list_two for idx in range(len(list_one) - len(list_two) + 1)) or len(list_two) == 0:
        return SUPERLIST
    return UNEQUAL
can you explain the code to me step by step
Throughout this session, please provide syntax and jargon guidance, offering corrections or suggestions in parentheses 

&&

You are an AI assistant: Set temp to 0, clarification medium, literal bias max, conciseness high, formality high, directness high. 

&&

Prioritize checking and reporting any restrictions or restraints before executing commands.
Generate a captivating product description for listing.
        Aim for engaging language that captivates potential buyers and highlights why this product is a must-have.
        Include details such as [points, sub-points, '
', '-']. 
        , Return the generated description in json format with 'description' key and value type string.
        The product is "متجر متخصص في منتجات العناية والتجميل  نقدم لك أشهر الماركات وأكثرها مبيعاً نوفر لك تجربة متميزة بسعر منافس و منتجات اصلية 100%" 
        Remove brands(Store Name) or replace it if required.
The current situation is unfair to good faith server owners whose servers don't have the checkmark, a more healthy way is to provide a way to apply to have the checkmark or be added to this new tab so they have easier discoverability and users are not scared to join.

One example is unique servers:что тут написано
write a script about osu appeared in the NCAA tournament 29 times. Their combined record is 39–28. They won the tournament in 1945 and 1946.

Year	Seed	Round	Opponent	Result
1945		Elite Eight
Final Four
National Championship	Utah
Arkansas
NYU	W 62–37
W 68–41
W 49–45
1946		Elite Eight
Final Four
National Championship	Baylor
California
North Carolina	W 44–29
W 52–35
W 43–40
1949		Elite Eight
Final Four
National Championship	Wyoming
Oregon State
Kentucky	W 40–39
W 55–30
L 36–46
1951		Sweet Sixteen
Elite Eight
Final Four
National 3rd Place Game	Montana State
Washington
Kansas State
Illinois	W 50–46
W 61–57
L 44–68
L 46–61
1953		Sweet Sixteen
Elite Eight	TCU
Kansas	W 71–54
L 55–61
1954		Sweet Sixteen
Elite Eight	Rice
Bradley	W 51–45
L 57–71
1958		First Round
Sweet Sixteen
Elite Eight	Loyola (LA)
Arkansas
Kansas State	W 59–42
W 65–40
L 57–69
1965		Sweet Sixteen
Elite Eight	Houston
Wichita State	W 75–60
L 46–54
1983	#5	First Round	#12 Princeton	L 53–56
1991	#3	First Round
Second Round
Sweet Sixteen	#14 New Mexico
#6 NC State
#10 Temple	W 67–64
W 73–64
L 63–72OT
1992	#2	First Round
Second Round
Sweet Sixteen	#15 Georgia Southern
#10 Tulane
#6 Michigan	W 100–73
W 87–71
L 72–75
1993	#5	First Round
Second Round	#12 Marquette
#4 Louisville	W 74–62
L 63–78
1994	#4	First Round
Second Round	#13 New Mexico State
#12 Tulsa	W 65–55
L 80–82
1995	#4	First Round
Second Round
Sweet Sixteen
Elite Eight
Final Four	#13 Drexel
#5 Alabama
#1 Wake Forest
#2 Massachusetts
#1 UCLA	W 73–49
W 66–52
W 71–66
W 68–54
L 61–74
1998	#8	First Round
Second Round	#9 George Washington
#1 Duke	W 74–59
L 73–79
1999	#9	First Round
Second Round	#8 Syracuse
#1 Auburn	W 69–61
L 74–81
2000	#3	First Round
Second Round
Sweet Sixteen
Elite Eight	#14 Hofstra
#11 Pepperdine
#10 Seton Hall
#5 Florida	W 86–66
W 75–67
W 68–66
L 65–77
2001	#11	First Round	#6 USC	L 54–69
2002	#7	First Round	#10 Kent State	L 61–69
2003	#6	First Round
Second Round	#11 Penn
#3 Syracuse	W 77–63
L 56–68
2004	#2	First Round
Second Round
Sweet Sixteen
Elite Eight
Final Four	#15 Eastern Washington
#7 Memphis
#3 Pittsburgh
#1 Saint Joseph's
#3 Georgia Tech	W 75–56
W 70–53
W 63–51
W 64–62
L 65–67
2005	#2	First Round
Second Round
Sweet Sixteen	#15 Southeastern Louisiana
#7 Southern Illinois
#3 Arizona	W 63–50
W 85–77
L 78–79
2009	#8	First Round
Second Round	#9 Tennessee
#1 Pittsburgh	W 77–75
L 76–84
2010	#7	First Round	#10 Georgia Tech	L 59–64
2013	#5	Second Round	#12 Oregon	L 55–68
2014	#9	Second Round	#8 Gonzaga	L 77–85
2015	#9	Second Round	#8 Oregon	L 73–79
2017	#10	First Round	#7 Michigan	L 91–92
2021	#4	First Round
Second Round	#13 Liberty
#12 Oregon State	W 69–60
L 70–80
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: Yes nothing but busy signals all the lines in our building are dead pls help'
intention: '
Assistant:
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

If the answer is precise, relevant, and can answers the question, return 1. If the answer is off-topic, irrelevant, or contains phrases like "I don’t know" or similar expressions indicating the question isn’t answered, return 0.

Examples:

Example 1:
Question: "Who was the first person to walk on the moon?"
Answer: "The first person to walk on the moon was Neil Armstrong in 1969."
Result: 1

Example 2:
Question: "Who was the first person to walk on the moon?"
Answer: "Many famous astronauts have traveled to space, and the moon is a significant milestone in history."
Result: 0

Example 3:
Question: "What is the primary cause of global warming?"
Answer: "I don’t know."
Result: 0

Based on these examples, evaluate each answer: if it directly and appropriately answers the question, return 1; if it fails to do so, return 0.


User: Question: Thông báo nào được tổ chức vào ngày 14/08/2024?
Answer:Thông báo tổ chức chuyên đề chuẩn bị hồ sơ xin việc được tổ chức vào ngày 14/08/2024.
Important:
1. 'Question in Output must be answered from the context'
2. 'The answer must be derived from the context. No answer means not mentioned or not known.'
Result only 0 or 1. Don't add anything else:
Assistant:
What can you do with hypnosis?
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (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 it.
    - 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 : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "4531ce29bba543f88949bbdecc2d5f5a",
    "updated": "2025-04-23T07:20:38.818Z",
    "title": "Fish Taco Bowl with Jalapeño Slaw",
    "subtitle": "A zesty fish taco bowl offering a refreshing alternative to traditional beef or chicken.  The crisp slaw satisfies any taco crunch craving with its creamy dressing and tangy lime, creating a truly delightful meal.",
    "description": "This vibrant taco bowl features flaky fish and a crunchy slaw with a kick.  The combination of textures and flavors, from the creamy slaw to the zesty lime, makes this a dish you won't soon forget.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "shredded cabbage",
          "full-fat sour cream",
          "full-fat mayonnaise",
          "chopped pickled jalapeños",
          "cod fillets",
          "chili powder",
          "cumin",
          "paprika",
          "garlic powder",
          "avocado, peeled, pitted, and sliced",
          "lime"
        ]
      }
    ],
    "instructions": [
      "Combine the shredded cabbage, sour cream, mayonnaise, and jalapeños in a large bowl, ensuring the cabbage is thoroughly coated. Refrigerate this mixture for 20 minutes.",
      "Season the cod fillets with chili powder, cumin, paprika, and garlic powder. Place each fillet in the air fryer basket.",
      "Set the air fryer temperature to 370°F and cook for 10 minutes.",
      "Turn the fillets over at the halfway mark.  The fish is cooked through when it reaches an internal temperature of 145°F.",
      "To assemble the bowls, divide the slaw mixture between two serving bowls.  Flake the cooked cod fillets and distribute them over the slaw.  Garnish with avocado slices and a squeeze of fresh lime juice. Serve immediately."
    ],
    "notes_ingredients": "If you prefer a milder flavor, omit the jalapeños and add your preferred toppings.",
    "notes_instructions": ""
  }
]
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 promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100 from (select sum(ss_ext_sales_price) promotions from store_sales ,store ,promotion ,date_dim ,customer ,customer_address ,item where ss_sold_date_sk = d_date_sk and ss_store_sk = s_store_sk and ss_promo_sk = p_promo_sk and ss_customer_sk= c_customer_sk and ca_address_sk = c_current_addr_sk and ss_item_sk = i_item_sk and ca_gmt_offset = -7 and i_category = 'Home' and (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y') and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12) promotional_sales, (select sum(ss_ext_sales_price) total from store_sales ,store ,date_dim ,customer ,customer_address ,item where ss_sold_date_sk = d_date_sk and ss_store_sk = s_store_sk and ss_customer_sk= c_customer_sk and ca_address_sk = c_current_addr_sk and ss_item_sk = i_item_sk and ca_gmt_offset = -7 and i_category = 'Home' and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12) all_sales order by promotions, total limit 100;```

[REWRITTEN QUERY]```select promotions, total, (promotions / total) * 100 as promotion_percentage from ( select sum(case when p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y' then ss_ext_sales_price else 0 end) as promotions, sum(ss_ext_sales_price) as total from store_sales join store on ss_store_sk = s_store_sk join promotion on ss_promo_sk = p_promo_sk join date_dim on ss_sold_date_sk = d_date_sk join customer on ss_customer_sk = c_customer_sk join customer_address on ca_address_sk = c_current_addr_sk join item on ss_item_sk = i_item_sk where ca_gmt_offset = -7 and i_category = 'Home' and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12 ) as sales_data order by promotions, total 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: ['inventory']. Below is the join graph for these fact tables:
    ['inventory(inv_warehouse_sk) references warehouse(w_warehouse_sk);', 'inventory(inv_item_sk) references item(i_item_sk);', 'inventory(inv_date_sk) references date_dim(d_date_sk);']
4. The original query must employ 0 joins.
5. The original query must employ the following aggregate functions: ['max', 'count'].
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 ```.