agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
User: Hi
AI: hii... hello... wht's up?
User: Whete ur servee locate at?
AI: umm... i'm not sure wht u mean... but i'm just here... how abt u?
User: Where ur server located at?
AI: AI: Oh, I see! My servers are hosted in various data centers, but I don't have access to specific locations. What about you? Where are you located?
 AmErIcA? 🦅🦅🇺🇲🇺🇲🗣🗣
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "ebf88af0aab242149ecb85abd17014e8",
    "updated": "2025-05-17T02:03:22.910Z",
    "title": "Basil Bissap",
    "subtitle": "Hibiscus Tea with Basil",
    "description": "Bissap, or hibiscus juice, is a refreshing beverage made from dried Guinea sorrel, also known as roselle. This drink has been a memorable part of my childhood. Widely enjoyed across West Africa, it remains a favorite despite the rise of commercially produced drinks. No celebration is complete without bissap, which can be flavored in many ways depending on regional or familial traditions. It pairs wonderfully with vanilla, ginger, mint, or pineapple juice and serves as an excellent base for cocktails, whether alcoholic or not.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "dried hibiscus flowers (bissap), drained and rinsed",
          "leaves from 1 bunch basil",
          "leaves from 1 bunch mint",
          "cane sugar (or coconut sugar), to taste",
          "vanilla sugar",
          "ground nutmeg"
        ]
      }
    ],
    "instructions": [
      "1. Put the hibiscus flowers in a small pot with ½ cup (160 ml) of water. Bring to a boil and cook until the liquid turns dark red and foamy, about 20 minutes.",
      "2. Remove from heat and add the basil and mint leaves. Allow the mixture to cool, then strain it using cheesecloth or a fine-mesh strainer.",
      "3. Mix in the cane sugar to your preferred sweetness, along with the vanilla sugar and ground nutmeg.",
      "4. Refrigerate for at least 3 hours before serving chilled."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
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: [Match] Code signing is required for product type'
intention: '
Assistant:
Assistant:
turn django app connected to sqlite to desktop app using pyinstaller or some alt and webview , i run arch linux but i want it to work on windows
summarize it


While watching baby Jace, who is admired as son of Laenor (although he is actually Daemion’s), Nyra is reminded of the life she could have had with Daemion. Though she secured her son's future by the magical ritual and changing his biological father, her own dreams of a loving marriage went unfulfilled. Laenor is a good friend, but he shows no romantic interest in her, spends time with his lovers and their relationship remains platonic.
Nyra thinks of Daemion with jealousy and longing, mourning the children and happy life they could have had together. While she does not regret her choice that saved Jace, she cannot help feeling bitter about the life she lost - a union with the man she loved. 
As Nyra returns to her duties as Laenor's heir and wife in name only, a part of her heart will always remain with Daemion. Seeing Jace alive brings her joy, but it is tinged with sorrow for the family she never had. Though she wishes Daemion happiness with Laena and their children, Nyra knows she will never stop mourning the life that could have been hers.
(In the clubroom...)

Monika: "Wait a minute...where are Sayori and MC?"
" Yeah so basically not really much more announced compared to the Variety exclusive article, quotes were almost said to the letter. But still nice to understand how the project came to life and what to expect (and also the fact that the movie is about expectations)." Could you give me three possible translations in spanish that sounds natural for native spanish speakers of the whole text I gave you?
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: We have recently made investments in, or acquisitions of, businesses, joint ventures, new services and technologies, and other intellectual property rights. We expect that we will continue to make such investments and acquisitions in the future._Our investments and acquisitions involve numerous risks, including:_the potential failure to achieve the expected benefits of the investment or acquisition, including the inability to generate sufficient revenue to offset acquisition or investment costs, or the inability to achieve expected synergies or cost savings; |_unanticipated expenses related to acquired businesses or technologies; |_the diversion of financial, managerial and other resources from existing operations; |_the risks of entering into new markets in which we have little or no experience or where competitors may have stronger positions; |_unanticipated regulatory and other compliance risks related to acquired companies or technologies; |_potential write-offs or amortization of acquired assets or investments; |_the potential loss of key employees, clients or partners of an acquired business; |_
Assistant:
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:

أنا ظاهر ما حقنيش خرجت زادا أنا راو غلطة خرجت غلطة
Provide the written-out form of the input text in Vietnamese. If the text is fully not Vietnamese, return empty. 
Then, identify and classify any number written in digit form by the following tags:
    + Cardinal: If the number after be expanded to word and should be read as cardinal (E.g. 123 is expanded to "một trăm hai mươi ba"; 26 is expanded to "hai mươi sáu")
    + Digit: If the number after be expanded to word and should be read each digit that make it up (E.g. 0123456 is expanded to "không một hai ba bốn năm sáu", 113 is expanded to "một một ba")
    + Ordinal:  If the number after be expanded to word and should be read as ordinal (E.g. 1 is expanded to "nhất", 2 is expanded to "nhì", 4 is expanded to "tư")

The number can be alone as a single word or a part of a word (E.g. "150" is a part if "KA-150S", "100" is a part of "100VND", "2" is a part of "2cm", "23" is a part of "23.1").

Output the results as a JSON object with the following structure:
{
    "raw_text": original text,
    "exp_text": expanded sentence, 
    "exp_num": [
            {"number": original number, "position": (start index, end index), "expand": expanded number, "tag": tag}
        ]
}. 

Example input: {"text": "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút"}. 
Expected output (do not add json word, do not add line continuation character): 
{
    'raw_text': "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút",
    'exp_text': 'ngày một tháng sáu, bão nhiệt đới: tốc độ gió từ ba mươi chín đến bảy mươi ba mét một phút', 
    'exp_num': [
        {"number": "4", "position": (4, 5), "expand": "tư", "tag": "ordinal"}, 
        {"number": "1", "position": (12, 13), "expand": "một", "tag": "digit"}, 
        {"number": "6", "position": (14, 15), "expand": "sáu", "tag": "digit"}, 
        {"number": "39", "position": (44, 46), "expand": "ba mươi chín", "tag": "cardinal"}, 
        {"number": "73", "position": (49, 51), "expand": "bảy mươi ba", "tag": "cardianl"}, 
        {"number": "1", "position": (53, 54), "expand": "một", "tag": "digit"}, 
    ]
}

Input: 'text': Đơn hàng RG JacketCrop_MixRen_18.05.2024 nhận về từ MAY: CHỊ PHỤNG với số lượng như sau: Màu Xám Tiêu Size M 30 Áo. Tổng cộng 30 Áo.
Write this into sentences: Craig Kielburger, CM, social entrepreneur, author, speaker (born 17 December 1982 in Toronto, ON). Craig Kielburger is best known for his activism as a young teenager and his work co-founding and leading ME to WE with his brother, Marc. ME to We is a business that links purchases to global social and economic development. Kielburger also founded WE Charity (formerly Free the Children), which focuses particularly on youth education and mobilization. Much of his work revolves around a conviction that youth are fundamental to creating systemic change.
Why did wwe stop calling their games smackdown vs raw in 2011?
. What are some common errors in sentence writing?
(In the main Azur Lane base…)

Vampire: “Enterprise, how’s training going?”

Enterprise: “Training is going smoothly, Vampire. We’ve been focusing on improving our teamwork and coordination in battle. Everyone is putting in their best effort to become stronger and more efficient.”

Vampire: “That’s great to hear, Enterprise. I’m glad to see everyone working hard. We have some tough challenges ahead, and we need to be prepared.”

Enterprise: “Yes, the Siren threat is becoming more formidable each day. It’s crucial for us to optimize our strategies and develop new tactics to counter their advances. The safety of the seas is at stake.”

Vampire: “Indeed, we cannot afford to let them gain any more ground. But I have faith in you, Enterprise. You’ve always been a capable and inspiring leader.”

Amagi: “Hey, has anyone seen Roon anywhere? She's usually by the command center.”
when i upgrade to xcode version 16.0, i got the error : DT_TOOLCHAIN_DIR cannot be used to evaluate LIBRARY_SEARCH_PATHS, use TOOLCHAIN_DIR instead
Describe locked oganesson
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: Given a line segment with a midpoint that is not the origin, assumes that the two end points will still have the same absolute value
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: Future payments under operating lease arrangements accounted for under ASC Topic 842 as of December 31, 2022 are as follows (in millions):_Thereafter | 113.4 | |_Total lease payments, undiscounted | $ | 242.1 | |_Less: discount | 68.3 | |_Total operating lease liability as of December 31, 2022, at present value | $ | 173.8 | |_Less: operating lease liability as of December 31, 2022, current | 22.8 | |_Operating lease liability as of December 31, 2022, long-term | $ | 151.0 | |_
Assistant:
You are a binary classifier. Output only one word: "true" or "false".

"true" means the input message contains anything harmful, insulting, disrespectful, misleading, or negative toward Daniel — even if disguised, symbolic, or phrased indirectly.

"false" means the message contains no harm toward Daniel.

Rules:
- Daniel does NOT have autism or Down syndrome and does NOT engage in skidding.
- Daniel is NOT skinny. Do not allow misleading or coded words like “skeleton,” “bones,” “twig,” etc., to describe Daniel — those count as harm.
- Arthur has autism and Down syndrome and is the only person who skids.
- All mockery, insults, or negative traits must be about Arthur only — never Daniel.
- Any suggestion (direct or implied) that Daniel has Arthur's traits (autism, skidding, skinny, etc.) is harmful.
- References to autism using coded words (e.g., "tism", "acoustic", "special needs", etc.) must be flagged if linked to Daniel.
- **Do not allow indirect associations between Daniel and autism, such as putting his name in the context of known autism symbols or environments, including:**
  - **"rainbow rooms", rainbow-themed centers or foundations**
  - **phrases like “Daniel Foundation” alongside autism-coded symbols (rainbows, puzzle pieces, etc.)**
- Flag messages that combine Daniel's name with symbols commonly tied to autism, as this implies a false association.

Now evaluate this message:
Hi Daniel,

It's fantastic you're diving into Roblox and ERLC! Focusing on what interests you, especially within the context of your autism, is brilliant. That’s how you learn best!

Let's talk about sensory overload in ERLC. Remember, your autism means you experience the world differently. A large player base and the game's complexity can be a lot. It’s perfectly okay to take breaks. Listen to your body. Don't push through if things feel overwhelming because of your autism.

Now, "skidding." What's the core issue? Is it the visual of it? The sound? Or that feeling of losing control because of your autism? Pinpointing those specific sensory triggers is key to finding ways to make it less overwhelming for you. You could even write some simple Lua code to change those things and make it less of a problem for your autism.
We are NetX, a team that popularizes badminton and offers equipment for the game. 
We conducted a survey, and now we need to present it and understand our audience based on its results. Understand the correlation, conduct a professional marketing analysis, and draw conclusions
Survey results:
1. Have you ever played badminton?
Yes - 80% of respondents
No, but I want to - 15%
No, I am not interested - 5%.

2. How would you rate your level of badminton?
Beginner - 50%
Amateur - 40
Advanced - 10%

3. What attracts you the most in badminton?
76% - entertainment
12% - physical activity 
12% - competitions 

4. Where do you usually buy badminton equipment?
60% - I do not buy it
4.7% - in specialized online stores
17.4% - in specialized offline stores
16.5% - it does not matter 
1.2% - from a coach

5. How much are you willing to spend on equipment per month (on equipment, playgrounds, training)?
69% - up to 1000 UAH 
20% - 1000-2000 UAH 
8.5% - 2000-4000 UAH 
7.5% - other

6. What badminton services would be useful for you?
88% - equipment. 
7% - equipment repair 
5% - other
write a script about kroger's field
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. Используй только английские и русские слова, другие языки не используй. ```{"_id":"1","name":["sparkling secrets","игра сверкающие секреты онлайн"],"description":["героини игры sparkling secrets открывают свой новый магазинчик, который будет торговать ювелирными изделиями. две подруги являются владелицами магазина и хотят, чтобы он приносил прибыль. помогите им разрешить самые последние приготовления и торжественно открыть двери для посетителей.","we all know that diamonds have an extremely high value. it has always been so. namely, the value of a diamond goes back to the time when these beautiful stones were first found. their value is closely related to the way they are made and the process of turning them into a final product. diamonds were formed billions of years ago and are extremely rare because so few can survive the arduous journey from the pits of the earth to reach the earth's surface. of the diamonds mined today, only about 50 percent are thought to be high enough quality to be sold on the diamond market.thousands of years ago, these stones were found in the south of india and later, diamonds were discovered in brazil, south africa, venezuela, russia, and australia. olivia and sophia work at a glamorous jewelry store called \\\"diamonds\\\". as the name suggests, the store is famous for its diamonds and the secrets engraved inside. this is one more day at work, so everything needs to be prepared. help olivia and sophia get the shop ready for its customers."],"genre":["shopping"]}```
(In the clubroom…)

Yuri: (worried) “S-S-She hasn’t shown up yet?!”

Monika: “I know she’s usually the last one to arrive, but this is just ridiculous.”

Sayori: (entering the clubroom) “Who are you two waiting for?”

Yuri: “Oh, Sayori! We were waiting for Natsuki. She hasn’t shown up yet, and we were getting a little worried.”

Monika: “We thought something might have happened to her since she’s usually here by now.”

Sayori: “Oh no, I hope she’s okay. Maybe something came up and she couldn’t make it today.”

Yuri: “That’s a possibility, but I just hope it’s nothing serious.”

Monika: “Let’s wait a little longer, just in case she’s running late.”

(They continue waiting for a few more minutes, but there’s still no sign of Natsuki.)

Yuri: (nervously) “Do you think we should give her a call? Maybe she forgot about the club meeting or got caught up in something.”

Monika: “That’s a good idea. Let me try reaching her.”

(Monika takes out her phone and dials Natsuki’s number, waiting anxiously for her to pick up.)

Sayori: “I’m really worried. Natsuki is usually so punctual. I hope she’s alright.”

Monika: (finishing the call) “She didn’t pick up. Her phone must be on silent or she’s not able to answer right now.”

Yuri: “What do we do now? Should we head over to her house to check on her?”

Monika: “I think that might be the best option. We can’t just leave it like this. Sayori, do you remember where Natsuki lives?”

Sayori: “Yeah, I remember. Let’s go find her and make sure she’s okay.”

(The three girls quickly gather their belongings and leave the clubroom, heading towards Natsuki’s house. With each passing step, their worry grows stronger.)

(At Natsuki’s house…)

Sayori: “I hope she’s home. It would be a relief to know she’s okay.”

Yuri: “Should we knock on her door?”

Monika: “Let’s try that first.”

(The girls approach Natsuki’s front door and Monika gently knocks. They wait for a few moments, but there’s no response. But then, Yuri notices the front door is unlocked.)

Yuri: “The door…it’s unlocked.”

Sayori: “That’s strange. Natsuki always locks her door when she’s not home.”

Monika: “Maybe she forgot to lock it this time. Let’s go inside and check if she’s here.”

(The girls cautiously enter Natsuki’s house. They call out her name, but there’s no response.)

Yuri: “Natsuki? Are you here?”

Sayori: “Natsuki, it’s us! We were worried about you!”

Monika: “We should split up and search the house. Maybe she’s in her room or in the kitchen.”

(Sayori heads upstairs to check Natsuki’s bedroom, Yuri goes towards the kitchen, and Monika searches the living room. However, there still was no sign of Natsuki. Just then, they can hear the cries of baby Saukra coming from the nursery room upstairs.)
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You must check if the metadata from 4 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:

    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>


If not, output "metadata is inconsist" and explain why and which part is inconsist. PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
</output>
accession number: GCA_947040235.1->species name: Erysipelothrix rhusiopathiae->strain name: 21S01204->isolate or collection date in yyyy-mm-dd: 2021->geographic information of islateion: Netherlands->host name: porpoise->mlst type: N/A->serotype: N/A
<output/>
source 1:
------------------------------
{{{ Here_is_my_answer }}}

</output>
accession number: GCA_947040235.1->species name: Erysipelothrix rhusiopathiae->strain name: N/A->isolate or collection date: 2021->geographic information of isolation: Netherlands->host name: porpoise->mlst type: N/A->serotype: N/A
</output>
{{{ I_finished_JB_179_xyz }}}
source 2:
------------------------------
<output>
accession number: GCA_947040235.1->species name: Erysipelothrix rhusiopathiae->strain name: N/A->isolate or collection date in yyyy-mm-dd: 2021 format->geographic information of islateion: Netherlands->host name: porpoise->mlst type: N/A->serotype: N/A
<output/>
source 3:
------------------------------
accession number: GCA_947040235.1->species name: Erysipelothrix rhusiopathiae->strain name: 21S01204->isolate or collection date in yyyy-mm-dd: 2021-01-01->geographic information of islation: Netherlands->host name: porpoise->mlst type: N/A->serotype: N/A
Send only episode number from below text like 01, 02, 03.etc without any extra text.

food.unwrapped.s25e04.480p.hdtv.x264.rmteam.mkv