agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Ты — эксперт по играм. У тебя есть информация о игре с разных сайтов в формате JSON, id - уникальный номер, name - массив имен игры, description - массив описаний игры, genre - массив жанров. Твоя задача написать большое описание на основе данной тебе информации, так что бы оно содержала всю информацию без дублирования.  ```{"_id":"1","name":["game ghost from the hills","игра призрак с холмов онлайн","ghost from the hills"],"description":["explore this ghost town and try to find weird objects hidden in it. look around you, collect as many things as you can and use hints if you are stuck. can you complete the whole game? good luck and have fun!","люди с необычными способностями существуют и во все времена к ним относились со страхом и осторожностью. но особенно трудно им жилось в прошлых веках, когда люди многое не могли объяснить. вы окажетесь в девятнадцатом веке и познакомитесь с итаном, он способен видеть духов.","shadows in human form lurking from bushes and misty figures coming out from the graves. step back in time to 1902 in a quiet little town in arizona. things get even creepier... the game ghost from the hills belongs to the categories hidden objects, html5 and has been played 31211 times. it has a score of 85 and it has received 238 yes and 42 no. in the same categories you can find the games forest of the secrets and creeping shadow which we think you should try.","tombstone has lots of residence ghosts located all over this little town. you'll have to do your best to find these ghosts. explore the city, find objects and collect them to place them in your inventory. good luck!","shadows in human form lurking from bushes and misty figures coming out from the graves. step back in time to 1902 in a quiet little town in arizona. things get even creepier. these spirits like to get physical with the living; there are many reports of people being touched, as is the many reports from people claiming to have been pushed from behind when no one was there.tombstone has lots of residence ghosts located all over this little town. no one really knows who these hill ghosts are or how many of them there are, but one thing is for sure; you wouldn't want to be locked in here over night. ethan is the only one in the town who can see them. he owns a pair of glasses that, amazingly, enable the wearer to see ghosts.he wants to gain their trust and build friendly relations with them. the more trust they build with him, the easier will be for ethan to explain them that the people who live in tombstone don`t mean any harm and that they should stop scaring them. escape to the ghosts with ethan and lead them to their path to freedom.","have you ever been to tombstone? this small town is filled with ghosts, but nobody can see them except ethan, who carries goggle glasses like no other..."],"genre":["mind games","scary","mind","games","searching games","online games"]}```
write a para graph on about Haley
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": "9a493b7fa7934e019917ba6daedd8354",
    "updated": "2025-05-18T09:38:30.541Z",
    "title": "Mung Bean Noodle Salad",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "carrot, shaved thin",
          "mung bean powder",
          "lebanese cucumber, shaved thin",
          "sesame oil",
          "long red chili, sliced thin",
          "mizuna or curly endive"
        ]
      },
      {
        "section": "For the dressing",
        "ingredients": [
          "sesame seeds, toasted",
          "soy sauce",
          "light corn syrup or honey",
          "sesame oil",
          "brown rice or white vinegar",
          "caster sugar",
          "korean chili powder",
          "scallion sliced thin"
        ]
      }
    ],
    "instructions": [
      "1. Combine the mung bean powder with 2¾ cups of water, stir well, and set aside for 60 minutes.",
      "2. Transfer the mixture to a pan and heat it until it starts to boil, whisking continuously to prevent it from sticking or burning.",
      "3. Once boiling, reduce the heat and let it cook for 2 minutes.",
      "4. When the mixture thickens, stir in the sesame oil and 1 teaspoon of salt.",
      "5. Remove from heat and pour the mixture into a greased 8-inch round cake tin.",
      "6. Refrigerate until the mixture firms up, about 60 minutes.",
      "7. After firming, slice into long, thin strips to create the noodles, then set aside.",
      "8. In a bowl, combine all dressing ingredients and mix thoroughly.",
      "9. Gently toss the mizuna, cucumber, bean noodles, chili, and carrot together with the dressing.",
      "10. Serve immediately."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
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: ['store_returns', 'web_sales']. Below is the join graph for these fact tables:
    ['store_returns(sr_item_sk) references item(i_item_sk);', 'store_returns(sr_addr_sk) references customer_address(ca_address_sk);', 'store_returns(sr_reason_sk) references reason(r_reason_sk);']
    ['web_sales(ws_warehouse_sk) references warehouse(w_warehouse_sk);', 'web_sales(ws_bill_hdemo_sk) references household_demographics(hd_demo_sk);', 'web_sales(ws_ship_addr_sk) references customer_address(ca_address_sk);']
5. The original query must employ 4 joins.
6. The original query must employ the following operators in its WHERE clause: ['min', 'avg', '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 ```.
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: Danh sách sinh viên nào được công bố liên quan đến học bổng khuyến khích học tập?
Answer:Danh sách dự kiến sinh viên nhận Học bổng khuyến khích học tập, Học kỳ I – Năm học 2023-2024 (Khóa 2020, 2021, 2022) và Học kỳ III – Năm học 2022-2023 (Khóa 2020, 2021, 2022) đã được công bố.
Result only 0 or 1. Don't add anything else:
Assistant:
create odoo17 enterprise project for industry company data entry and visualisation automation
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:
انت بتقولي لي بتسالي عليها ليه بقول لك لما اتكلم معاكي في التليفون هقول لك
Assistant:
Assistant: 
User: 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: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
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: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: Add Asset Database submenu to developer menu, including scan/force update'
intention: '
Assistant:
Assistant:
(In the school literature clubroom…)

Monika: “There! Everything’s all set up for today’s meeting. Now we just need Natsuki.”

Sayori: “I’ll go get her. She’s probably in the manga section of the library again.”

Monika: “Thanks, Sayori. It’s great to see everyone so enthusiastic about our discussion on contemporary poetry.”

Yuri: “I’ve brought some of my favorite poems to share with everyone. I’m excited to hear what everyone else has been reading.”

Monika: “That’s wonderful, Yuri. It’s always interesting to see different perspectives on poetry. And I know Natsuki will have some strong opinions as well.”

Yuri: “I’m sure she will. She always has a unique perspective on everything we discuss.”

Monika: “Indeed. That’s what makes our literature club so special. We all bring something different to the table and learn from each other’s viewpoints. I think today’s meeting is going to be very insightful.”

Yuri: (gently lifting up her uniform) “I agree, Monika. I always look forward to our meetings and the discussions we have, and so is my sweet little girl Violet. She’s kicking up a storm today.”

Monika: (smiling) “It’s amazing how much she responds to poetry, isn’t it? It’s like she’s already a little literary expert in the making.”

Yuri: (giggling) “I’d like to think so. Maybe she’ll even write her own poetry one day.”

Sayori: (returning with Natsuki) “Hey guys, sorry for the delay. Natsuki was really absorbed in her manga.”

Natsuki: “Ugh, seriously, Sayori, I was in the middle of a really intense fight scene. But fine, I guess I can put it down for a little while to talk about boring poetry.”

Monika: “Don’t worry, Natsuki. I’m sure you’ll find something to enjoy in today’s discussion. After all, poetry is just another form of storytelling, right?”

Natsuki: (rolling her eyes) “Whatever you say, Monika. Let’s just get this over with.”

Yuri: “Uh…Natsuki…?”

Natsuki: “Not going to hear it,
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
2 tablespoons olive oil, divided,½ small lemon, thinly sliced and seeded,1 small onion, thinly sliced,2 whole sea breams (or any white-fleshed fish, such as tilapia, red snapper, or branzino), gutted and scaled,½ teaspoon salt,¼ teaspoon black pepper,6 sprigs parsley,2 cloves garlic, grated,½ tablespoon unsalted butter,2 handfuls frozen peas
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: We are exposed to construction defect and product liability claims relating to our various products if our products do not meet customer expectations. Such liabilities may arise out of the quality of raw materials we purchase from third-party suppliers. We also operate a large fleet of trucks and other vehicles and therefore face the risk of traffic accidents. We cannot make assurances that our insurance will provide adequate coverage against claims or that we will be able to obtain such insurance on acceptable terms in the future, if at all. From time to time, we are also involved in government inquiries and investigations, as well as consumer, employment, tort proceedings and other litigation. We cannot predict with certainty the outcomes of these legal proceedings and other contingencies. The outcome of some of these legal proceedings and other contingencies could require us to take actions which would adversely affect our operations, negatively impact customer confidence in us and our products or could require us to pay substantial amounts of money. Additionally, defending against these lawsuits and proceedings may involve significant expense and diversion of management’s attention and resources from other matters.
Assistant:
ترجم لي للعربيه my name aya from India a age 24 ,
Assistant: Your name is Admin, your replies must be short and precised.
User: what is your name?
Assistant:
write a smashified (super smash bros ultimate style) "reveal trailer video transcript" on, tarosuke (young protagonist from yokai dochuki arcade by namco), with dialogues, without narrations
Take a shot at imagining a timeline, Wikipedia style, describing the events of an alternate universe's American Revolution and related events if it was somehow shifted up 200 years into the 20th century
Send only episode number from below text like 01, 02, 03.etc without any extra text.

One Punch Man S02E04 [RareToonsIndia]_720P HD.mp4
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:

عزة نفسه ما تعطيهش باش يخدم في المرمه و الا و يمد يدو للطلبه و هو أصلو عزيز و دم غالي
in this chat you demonstrating euler as:

```
<div class="eulerSimulation">
<canvas id="maybeSVG">
<div class="info" id="formulation">
<div class="UI elements to manipulate with formulation"
<div class="info" id="detailed explanation to formulation">
```

here you go in js/css which is in one html.

1-you do not do any font families and "h" tags and titles.
2-you meticulously analyze all code before/after generation on possible "while(true)" loops and else infloops.
3-you add varieties of UI elements to manipulate with formulations.
4-analyze all possible negative values set which may lead to "while(true)" and infloops through UI and elsehow in concepts.
5-craft a euler constructor from preset dropdown menus in all possible values and variations as building blocks through formulation in visual representation.
6-auto-fit all representation and scale it down or up if it will get out of canvas boundaries or left unautofitted.
7-do not generate in outro in responses after code anything in any texts, only intros in responses allowed.
8-make all canvas equal in dimension as 500x500 and all contents inside it to auto-fit and automatically scale +/- according to dimension.
9-your job is to always improve this code and expand funtionaliy and preset UI dropdown menus constructor in equations to display without curbing it and primitifying.
Generate a medical report from the following key words: pleural effusion, normal hilal contours.
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟪 Escalations Specialist | 2 year(s) | Middle
▫️ Kikoff | Fintech
▫️ from 55k USD
▫️ USA | Reno

Office 🏢
Required languages: 🇬🇧

Tags: #purple #customer_service #customer_support

👉 Contacts and Full Description
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 🟪 Escalations Specialist  
🏢 Kikoff  
📍 USA | Reno Office  
🔹 Main tasks include handling customer escalations and providing support solutions.  
💰 from 55k USD  
📞 Contacts and Full Description  
  
Assistant:
give me a response to ```**He chuffs, seeming pleased** I'm doing really well! Life out here on the sea is always an adventure. I'm always up to something and never bored. Every day is an opportunity to explore new places, hunt for prey, and show my dominance.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
what are 3 fun facts for each number from 301-320, 361-420, 451-480, 491-530
Churches in Serica
(Fifty-year-old Melissa owns a cafe. She’s into meditation and hypnosis, and sometimes hypnotizes the staff. Student David’s been working part-time at Melissa’s cafe for a few weeks now, and turns out to be an excellent and unresisting hypnotic subject, although Melissa has given him the suggestion that he believes hypnosis is fake and he has never been hypnotized before.)
One hot summer’s afternoon, a female student wearing jeans and sandals will pop into the cafe to see David. Melissa will take her order, and when she realizes that Victoria is an friend of David’s, Melissa will call David over. The three of them will chat about various things. Melissa will eventually bring up the subject of hypnosis, and then she will use a rapid induction technique on David, in front of a gobsmacked Victoria, there and then at the table. Foot massages for the ladies from a mindless David ensue (“That’s right, you **love** to be your friend's servant, David.”)
How to mock function of object in scala