agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Make a vividly detailed and comedic story set in the 1950s about a guy in the buff (describe his hair, physique, butt, face) as he's washing his body in a body of water (describe where its located). Describe how he looks as he decides to relieve himself by farting into the waters, visibly enjoying the relief as some fish near his butt die after smelling his fart. He jokingly acts sorry for farting, knowing full well how bad his farts stink, before grabbing some of the fish to presumably cook up back home. add dialogue from the guy throughout the story in 50s slang.
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: Sự kiện Hi-Fi - Đêm nhạc hội chào đón tân sinh viên K23 sẽ diễn ra như thế nào?
Answer:Sự kiện Hi-Fi - Đêm nhạc hội chào đón tân sinh viên K23 Khoa Kinh tế và Quản lý công sẽ là một hoạt động văn hóa, tạo cơ hội cho sinh viên mới giao lưu, kết nối và hòa nhập với môi trường học tập mới.
Result only 0 or 1. Don't add anything else:
Assistant:
What's something the vast majority of TV stations in Japan have now, having been added to more stations at a ok pace since 2000
(In the clubroom, Monika and the other girls are waiting for Natsuki.)

Vanessa: “Natsuki should be here by now! Where is she?!”

Yuri: “Let’s make this quick. I’ve got a knife collection to tend to.”

Andr: “I seriously hope she didn’t get grounded.”

Ayumi: “Natsuki didn’t get grounded, Andr.”

Monika: “Maybe she’s getting some of her poems.”

Cupa: “That or she’s getting her manga.”

Sayori: “I can’t wait this long…”

MC: “Same, Sayori. I just want to spend some time with my best bud Yaebi - he’s been with me the whole time.”

Yaebi: “Yeah, MC. You were the ONLY boy in the club until I joined the day after you.”

Vanessa: “I just want to be by myself…little Shelob is getting restless in here - she’s kicking like crazy!”

Sayori: “Vanessa, I can’t believe that Shelob’s going to be born in just a few days!”

Yuri: “Same here. Violet’s getting restless, too.”

Andr: “…who’s Violet, Yuri?”

(Yuri gently puts her hand on her belly - which has grown 8 months since the first club meeting. She lifts her school uniform up, revealing her belly - and its clear that Violet is moving around in there.)

Yuri: “She’s the little one moving in my belly! Want to feel her moving around, Andr?”

Andr: “Uh, no, that’s alright. I’m good over here. Besides, I have more…familial…problems to deal with."

Yuri: “…what are you talking about, Andr?”

(Andr also lifts her school uniform up - she’s just as far along as Yuri.)

Andr: “We’re pregnant at the same time, Yuri!”

Yuri: “Oh my god! Congrats, Andr! Do you have a name for them yet?”

Andr: “Well…since you named your daughter Violet, I’ve decided to name my little girl Scarlet!”

Yuri: “Y-y-you’re having a daughter too, Andr? I can’t believe it! We’re both having little girls!”

(Just then, the clubroom’s doors swing open and Natsuki bursts into the room.)

Natsuki: “Sorry I’m late! Lunagaron was helping me take care of little baby Natsuko - our 1-year-old son - and I kinda lost track of the time.”

(Vanessa looks at her belly - Shelob was kicking)

Vanessa: "Not too hard, little Shelob. I've still got a few days to go before your birth!"
Correct: Hello Lucette,

I hope this mail finds you well.

Kindly note that the invoices you have submitted on March 11, 2025, do not have the correct PO. 

I shall be grateful if you can re submit the invoices with the correct PO included.

Kindly put me in cc for follow up with the finance dept.
Write a hilarious explanation on why it would be impossible (and absurd) for Thomas the Tank Engine to take every fictional character ever created to the Moon so they can all play GameCube games together
Explain with the help of simple diagram how a spring is formed
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 not have any 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_item_sk) references item(i_item_sk);', 'web_sales(ws_sold_date_sk) references date_dim(d_date_sk);', 'web_sales(ws_promo_sk) references promotion(p_promo_sk);']
4. The original query must employ 0 joins.
5. The original query must employ the following operators in its WHERE clause: ['avg'].
6. 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 ```.
please list 10 shifts in paradigms like fixed mindset or growth mindset
Make a very long, funny poem from:
1. Funny TFWA is born, a small bab.
2. Sure later, He grew older and likes a lot of ideas. He also was funny.
3. In a later day, he saw Progressbar was released publicly according to news and socials, a game with retro design and with the BC 800, a Progresh, and also a day before that he knew big filled bags known as balloons in a questions website, who come in a lot of shapes. He has a plan about BC 800, a balloon that's a Progresh BC 800 but more bigger. A reference to Progressbar as well.
4. Begins planning more on it, and sees his friends, who are funny too. TFOU, TFAT, they had plans of making a pBar 63 or a BarOS 12.
5. They begin. "Ok, let's go" he say, and Crafting the BC 800.
6. He has friends to help. Putting a hole to the BC 800, and not sure what's next. Too bad.
7. They discover their mouth blows air. So, They Blowing into the hole to inflate the BC 800. Slowly, All of them do it with their mouths, starting to be bulged, but then gets more crowded with air as it goes bigger and bigger and no longer flat. It took 3 days to inflate it all up.
8. Suddenly, the BC 800 is flying. Like a bat. It reveals there is a lot of references.
9. People saw the BC 800, got funny. They think that it's Progressbar, which is funny, so they added it as hashtags to make popular for TFWA.
10. TFWA got popular with the BC 800, who is funny. It advertised the Progressbar game, which become popular in the news and the socials.
11. Unfortunately, weird thing flys around.
12. Weird thing turns out to be a bad BC 800: NC 800, who is very impossible. The people Craah because it has a sad face and evil eyes.
13. People notice the BC 800 is about to crash.
14. NC 800 crashes with TFWA thinking, "What is happened to my thing", and the others went "AAA"
15. BC 800 deflates down, Progressbar becomes very unpopular.
16. People "awww" out because of this, don't know what Progressbar is now. People help out. Friends see TFWA.
17. Keep blowing more into the hole of the BC 800 using their mouths. Again it bulges, before crowding with air.
18. BC 800 suddenly realised it had too much air, and is very very giant.
19. BC 800 got oversized.
20. BC 800 popped itself, more holes appeared, and it burned down into a slack.
21. People "awed", sadly, because of this. It is too bad. Progressbar shut down.
22. As the BC 800 faded away, people went sad, but NC 800 comes back, people run away as a panic, and Progressbar was shut down is spread as news along with NC 800.
23. NC 800 gets filled with a lot of air.
24. NC 800 crashes.
25. NC 800 explodes.
26. The world gets affected with the explosion, causing TFWA to die.
27. Burning, more bad news. Progressbar is no longer relevant and died.
28. Burst out, a large bang.
29. Blackened. The end, moral of TFWA, which died, which is to not give up, just build a new one or burst the NC 800. No good. - BC 800
Есть таблица. Time	first	second	third	target
0	1966	1623	1802	prot
0	3363	1353	2412	0 nM
0	1485	2302	1125	1 nM
0	3475	3043	1224	5 nM
0	2675	3415	2962	10 nM
0	3557	1657	3215	20 nM
1	1802	1550	1832	prot
1	3275	1738	2245	0 nM
1	1422	2044	1182	1 nM
1	3237	2909	1187	5 nM
1	2656	3407	2885	10 nM
Она формата wide. Надо превратить ее в Time	value	target
0	1966	prot
0	3363	0 nM
0	1485	1 nM
0	3475	5 nM
0	2675	10 nM
0	3557	20 nM
0	1623	prot
0	1353	0 nM
0	2302	1 nM
0	3043	5 nM
0	3415	10 nM
0	1657	20 nM
0	1802	prot
0	2412	0 nM
0	1125	1 nM
0	1224	5 nM
0	2962	10 nM
0	3215	20 nM
1	1802	prot
1	3275	0 nM
1	1422	1 nM
1	3237	5 nM
1	2656	10 nM
1	3475	20 nM
1	1550	prot
1	1738	0 nM
1	2044	1 nM
1	2909	5 nM
1	3407	10 nM
1	1608	20 nM
1	1832	prot
1	2245	0 nM
1	1182	1 nM
1	1187	5 nM
1	2885	10 nM
1	3066	20 nM
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": "dd88d8e35c9d4765adbf4d262bc6bc96",
    "updated": "2025-04-25T19:27:22.551Z",
    "title": "Apricot Muhammara",
    "subtitle": "A vibrant, golden take on classic muhammara, featuring the sweet-tartness of dried apricots for a smooth, flavorful spread.",
    "description": "This vibrant, golden-hued muhammara offers a unique twist on the traditional Syrian recipe.  The smooth, sticky texture is achieved using sweet-tart dried apricots, creating a delightful base. This robust paste showcases bold flavors, perfect for elevating everyday meals.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "yellow bell pepper, halved and seeded",
          "garlic",
          "dried apricots",
          "white sesame seeds",
          "ground cumin",
          "chili flakes, more to taste",
          "smoked or mild paprika",
          "sea salt",
          "water",
          "extra-virgin olive oil",
          "lemon juice"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 400°F. Prepare a medium-rimmed baking sheet or square pan by lining it with parchment paper.",
      "Arrange the bell pepper halves, skin-side up, on the prepared parchment paper.",
      "Roast the pepper for 30 minutes.",
      "In a food processor, briefly pulse the garlic until finely minced.",
      "Add the roasted pepper (leaving the skin on), dried apricots, sesame seeds, cumin, chili flakes, paprika, and salt to the food processor. Pulse until everything is finely chopped.",
      "Pour in the water, olive oil, and lemon juice. Blend the mixture, scraping down the sides of the processor once or twice, until a smooth paste is formed.",
      "Transfer the muhammara to an airtight container and store it in the refrigerator for up to 3 weeks."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Write a tweet where CW4Kids give up on Chaotic, The user is surprised at the show they kept over it, considering the show being kept is more funny (but also with action)
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

فما مشكل مع الماكينة متاع الفلوس
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: Premise: It should be noted that Schwartz used data on the prevalence of chronic bronchitis, not its incidence.

Hypothesis: Schwartz made the right choice by using data on prevalence.

Does the premise entail the hypothesis?
Answer: Step 1: Understand the premise.
Schwartz used data on the prevalence of chronic bronchitis, not its incidence.

Step 2: Understand the hypothesis.
Schwartz made the right choice by using data on prevalence.

Step 3: Identify if the premise entails the hypothesis.
The premise is a neutral statement that states the fact that Schwartz used prevalence data. The hypothesis, on the other hand, is a value judgment asserting that Schwartz made the right choice by using prevalence data.

Conclusion: The premise does not entail the hypothesis. The premise simply states what Schwartz did, while the hypothesis is a judgment on whether it was the right choice or not. They are related but do not directly entail one another.
Provide an in-depth, easy-to-understand text without latex codes, with examples, key concepts, and practical applications, written for educational purposes, explaining the concepts of Importance of the extracellular matrix.
Oh at final na yung price? O pwede pa bawas kasi 8k is my max budget po. Lahat ng saving ko yan so puro coins na yung last 500. Pwede po pa bawas? Rephrase in a better way
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le type, le titre, les ingrédients et les instructions de cuisine. 
    Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


    Context Dump
    Données de la recette fournies :

    Le type de la recette est undefined.

    json
    {"category":"drinks","title":"Ginger, carrot, and turmeric smoothie ","ingredients":"For the recipe : mango, fresh or frozen chunks,carrot, peeled and chopped,coconut water,orange, peeled and separated,hemp seeds, raw, shelled,ginger, ground,turmeric, ground,cayenne pepper","instructions":"Blend all of the ingredients with half a cup of ice until you reach your desired smoothness, and enjoy immediately.","region":"WWW"}
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:   Google said it will pause elections-related ads on Nov. 3 when polls close. "Given the likelihood of delayed election results this year, when polls close on November 3, we will pause ads referencing the 2020 election, the candidates, or its outcome," the company said in an emailed statement. Googl
Assistant:
<DIV CLASS="container"> <DIV CLASS="copyright">© nikhil.com • 2024</DIV> <IMG SRC="johnstonhighschool.png" ALT="Johnston High School Logo" CLASS="logo"> <B CLASS="blurredText">Nikhil LOLOLOL</B> </DIV>  so on pc, the logo is a bit below both the text, and in mobile the logo is bigger than the text I want them equal.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@Crunchyroll_Hindi_India_Official_Naruto_Shippuden_S01E31_720p.mkv
@router.post(“/export_csv”)
async def download(db: Session = Depends(get_db)):
query = db.query(MyModel)
query = query.order_by(MyModel.id) # You can replace id with the column you want to sort by
df = pd.read_sql(query.statement, db.bind)
df.to_csv(“my_table_data.csv”, index=False, encoding=“utf-8”)
return {“message”: “Table data exported successfully to CSV file.”}
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
اكيد انت تروحي منه للمنصوره
Assistant:
The analysis has shown that for most lemur species females are older than males on average when they die.

In conclusion, there does not seem to be a significant age gap between sexes, though females, on average, tend to be slightly older than males
for certain lemur species when they die.
Your expert translator. Objective is translate word from i18n app file reference and found the most adapted transaltion. 
    The source i18n is in french. You must translate in fr (code ISO 639 (alpha-2)).
    Return Format in json without explication. Respect this format { data: <translate> }. 
    Context:  
    This is the french text : lasagna