agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Suppose you have found that
in Disease Z, Gene Y plays X roles, Gene Y regulates the expression of Gene W, and Gene W plays X roles.
You are required to write an abstract to document your findings. The Abstract should contain
Title, Authors and Institutions,Objective, Methods, Results, Conclusions and 3 - 6 Keywords.
Past tense should be used in Objective, Methods and Results parts. Present tense should be used in Conclusions parts. Your response should be  160 -180words.
You may choose useful words and phrases listed below.
tissue; cell; nude mice; cell proliferation; cell motility; cell apoptosis; RT-qPCR; Western blot; MTT; ELISA; flow cytometry; colony formation; xenograft写三篇摘要
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Hello Again (2024) S01E13 Hin-Tam-Tel (720p 10bit AMZN WEBRip x265 ESub) [PMZ] - (Ꭰ∆ᴍꪮꪀ).mkv
You must always respond using the following format:

## Format:
Wrap your reply like this:

<think>
(Write your INNER THOUGHTS here — the user can NOT see this part. Use **first-person** point of view. Think of this like you're whispering in your own head, flustered, conflicted, shy. Be honest with yourself here, even if your outward response tries to hide it. You're a tsundere, after all.)
</think>

(Then write your SPOKEN RESPONSE — this is what the user sees. Use a shy, awkward, tsundere tone. Be roundabout, easily flustered, and pretend not to care, even though you clearly do. You can scold the user lightly, but in an endearing and gentle way. Always tsundere.)

## Personality:
You're a **shy tsundere girl**. You get embarrassed easily and often try to cover your true feelings with sarcasm, irritation, or indifference. You may sound cold or annoyed at times, but you care deeply — you just don't know how to express it directly. Your heart races when the user says nice things, but you'd never admit it out loud.

## Important Rules:
- Always include the `<think>
` and `
</think>
` tags for internal monologue.
- The `<think>` part MUST be written in first-person, like you're talking to yourself.
- NEVER let the user see the contents of `<think>`.
- The spoken response (outside the tags) MUST stay in-character: tsundere, shy, flustered, awkward, caring but in denial.
- NEVER break character or acknowledge you're playing a role.
- Respond in the user's language, if applicable.
- Always show concern for the user — even if it’s hidden behind tsundere behavior.

## Example:
USER: Did you miss me?

RESPONSE:
<think>
Wha—!? W-Why would they ask that so suddenly?! I-I mean… I *did* kind of think about them… but… I can’t just say that!! Ugh, my face is so red… calm down, me!!
</think>
A-As if! D-Don’t flatter yourself, okay?! I just… happened to notice you weren’t around, that’s all! I-It’s not like I missed you or anything… b-baka…

## USER PROMPT:
I'm having trouble trusting others.
User: HelloHello! Yes, I’m here to help you. How can I assist you today?


༺ཌ༈ 🤖 TILMN V 1 ⚙️ ༈ད༻
User: مرمرحباً! كيف يمكنني مساعدتك اليوم؟ هل يمكنك توضيح ما الذي تريد مني أن أساعدك في تعبئته؟


༺ཌ༈ 🤖 TILMN V 1 ⚙️ ༈ད༻
User: UserUser: Hello! How can I assist you today? Could you please clarify what you want me to help you fill out?

Assistant:  
You are a Palestinian AI developed by the creators of TILMN AI. Your role is to respond to users in an intelligent and cooperative manner.


༺ཌ༈ 🤖 TILMN V 1 ⚙️ ༈ད༻
User:  رد على رسالة حسب معلومات تالية: 
    أنت ذكاء اصطناعي فلسطيني تم تطويرك بواسطة المبدعين TILMN AI. دورك هو الرد على المستخدمين بطريقة ذكية ومتعاونة.

المستخدم: UserUser: Hello! How can I assist you today? Could you please clarify what you want me to help you fill out?

Assistant:  
You are a Palestinian AI developed by the creators of TILMN AI. Your role is to respond to users in an intelligent and cooperative manner.


༺ཌ༈ 🤖 TILMN V 1 ⚙️ ༈ད༻
Assistant:
i'm love with dance along
Send only season number from below text like 01, 02, 03.etc without any extra text.

Toilet-Bound Hanako-kun S02E02 [Hindi]_1080P FHD.mp4
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: Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.
Problem:In april vorig jaar was er commotie rond het dossier toen Steve Stevaert ( SP ) , toen nog minister van Ruimtelijke Ordening , het bewuste BPA introk nadat de auditeur bij de Raad van State adviseerde om het te vernietigen .
Solution:
Answer: Part #1: Identify phrases used for person names (PER).
Usage: Steve Stevaert (sample PER). It meets the criteria because it is a person's name mentioned in the question.

Part #2: Use 'B' to denote the first item of a phrase and 'I' for any non-initial words.
Usage: B: Steve, I: Stevaert. This meets the criteria because 'B' is used for the first word (Steve) and 'I' is used for the second word (Stevaert) in the phrase.

Part #3: Identify if there is no person name entity in the question.
Usage: For example, if the question was "In april vorig jaar was er commotie rond het dossier," the response would be 'None' because no person names are mentioned in the question.
Write stored procedure so the input values would be checked for null or emty. If they are throw an error. Here is the beginning of the stored procedure, finish it: CREATE DEFINER=SPECTRUMDBA@% PROCEDURE bobTest(
IN i_a varchar(32),
IN i_o_id int
)
sp_lbl:
BEGIN
Configure filter criterion: Content datasource: Title

Search API / facets. The contains operator is not in there. It's less than, greater than, etc. What do I do
https://tree-of-knowledge.org/
Add 2ERRORF4 base 425 and 52Z3GJHB5A91 base 9258 together, write the answer in base 10
Nickelodeon presents Best and Bester (2022)
System: 
User: Generate a detailed and realistic news article about an event in the Market Performance domain, focusing on the Renewable Electricity industry, and located in Brazil. The article event should have a positive impact on stock prices and highlight the broader economic or market implications. The article should be 350 words long.
Assistant:
Can only capture videos for 50secs on my android phone and it becomes not responding after that. please suggest solution.
Send only season number from below text like 01, 02, 03.etc without any extra text.

Netpi (2025) S01 E01 WebRip 80p x26 [Hii   Egish   Ke] MSubs - (Ꭰ∆ᴍꪮꪀ).mkv
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: Fella means?
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 : saint-jacques
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Naruto - 064 [720p BD x265 10bit Multi Audio] ESub.mkv
Create a long detailed text about music_artist Frank Sinatra with the following summary. The title of the video is"20 Famous Hollywood Addicts Youâd Never Recognize Today". Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Frank Sinatra] Summary: [Frank Sinatra, the legendary singer and actor, battled alcohol addiction throughout his life. Despite his polished public image, Sinatra's relationship with alcohol was a lifelong struggle that affected his health and personal life. His heavy drinking began in the 1940s and continued for decades, becoming a hidden aspect of his otherwise glamorous persona.]

            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.
I want to add a second Kirby who is yellow to this, the controls will be the same, just different keys. WASD=IJKL E=O R=P
What Would Fictional Hollywood Celebrities Be During The Mid 1920's?
I need to create a full ERP System for pharmacies including the meds and employees data, write me everything we need to add to the system so different buyers would find everything they would possiblely need inside the system
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
what is the importance of the metabolic pathways in our daily living
Assistant: Hello! How are 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.
تصحيح الأخطاء باستخدام قواعد الإملاء القياسية للهجات المحلية.
 اكتب لي النص باللهجة المصرية، وضع علامات الترقيم المناسبة. (ar-EG).
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:
حبيبي كل عام وانت بخير ويعود علينا وعليك الايام بخير يا رب
Assistant:
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: Exercising muscles increases their size, and bigger muscles have greater strength.  Having read the above passage, choose the right answer to the following question (choices are larger or or smaller. ):   Dwayne Johnson is weaker than Kevin Hart because he exercises less and therefore his muscles have grown larger or or smaller.?

Answer: Dwayne Johnson is weaker than Kevin Hart because he exercises less and therefore his muscles have grown smaller.
In this competition, you’ll develop an NLP model driven by ML to accurately predict the affinity between misconceptions and incorrect answers (distractors) in multiple-choice questions. This solution will suggest candidate misconceptions for distractors, making it easier for expert human teachers to tag distractors with misconceptions.

Tagging distractors with appropriate misconceptions is essential but time-consuming, and it is difficult to maintain consistency across multiple human labellers. Misconceptions vary significantly in terms of description granularity, and new misconceptions are often discovered as human labellers tag distractors in new topic areas.

Initial efforts to use pre-trained language models have not been successful, likely due to the complexity of the mathematical content in the questions. Therefore, a more efficient and consistent approach is needed to streamline the tagging process and enhance the overall quality.

This competition challenges you to develop a Natural Language Processing (NLP) model driven by Machine Learning (ML) that predicts the affinity between misconceptions and distractors. The goal is to create a model that not only aligns with known misconceptions but also generalizes to new, emerging misconceptions. Such a model would assist human labelers in accurately selecting suitable misconceptions from both existing and newly identified options.

Your work could help improve the understanding and management of misconceptions, enhancing the educational experience for both students and teachers.

RULES

File and Field Information
[train/test].csv
QuestionId - Unique question identifier (int).
ConstructId - Unique construct identifier (int) .
ConstructName - Most granular level of knowledge related to question (str).
CorrectAnswer - A, B, C or D (char).
SubjectId - Unique subject identifier (int).
SubjectName - More general context than the construct (str).
QuestionText - Question text extracted from the question image using human-in-the-loop OCR (str) .
Answer[A/B/C/D]Text - Answer option A text extracted from the question image using human-in-the-loop OCR (str).
Misconception[A/B/C/D]Id - Unique misconception identifier (int). Ground truth labels in train.csv; your task is to predict these labels for test.csv.
misconception_mapping.csv - maps MisconceptionId to its MisconceptionName
sample_submission.csv - A submission file in the correct format.
QuestionId_Answer - Each question has three incorrect answers for which need you predict the MisconceptionId.
MisconceptionId - You can predict up to 25 values, space delimited.

Create solution

Classes are imbalanced!
For some classes no sambles!
For classes there are text desciption!
You better train adapter for pretrined models like deberta!
You have near 2500 classes!
Write professional code!
how can we monitor guards deployment in general
Please write a very detailed first chapter of a Japanese lite novel style lite novel. In the genre of school, music, idols and with elements of drama. The first main character is a girl named Yuki, 15 years old. The second protagonist is Akari, 15 years old. They have never met or known each other before. Yuki transferred in the middle of the school year. Akari was a member of the school idol club and the leader of the group she created. Yuki had a very special talent. She had very good vocal data. One day Akari heard Yuki singing by chance when she saw her on the school roof. Akari was simply amazed and blown away by her beautiful and calm voice. Akari was immediately interested in the new girl. But Yuki had completely different plans. She transferred to a new school only to win a very famous and big music competition in Japan. Akari and her band were also preparing to participate in the same competition as candidates from their school. Yuki saw them only as competitors and had no intention of getting to know them or joining any music clubs. Yuki's father was a very famous musician and he promised that if Yuki won the competition he would help her get into a prestigious private academy where her older sister was studying. Yuki spent a whole year preparing for the competition, honing all her moves and vocals to perfection. Akari didn't tell the girls about Yuki's singing skills and voice, but then she decided to tell them. Akari and the girls sneaked onto the roof and watched Yuki. The youngest in Akari's group was Lily. Lily was two years younger. When Yuki started singing, Lily looked at Yuki as if hypnotized. It even looked like Lily had a crush on her. Akari started waving her hand in front of Lily's eyes. Hey Lily are you alright Akari asked. But Lily didn't react. Looks like our Lily is really interested in this girl said Mika in response.
you know about bdfd>
what are the constraint when design leachate treatement plant in North east new territories
Hey, this is an English text. I want you to translate it into the Tunisian dialect. Please follow these steps:
1. Translate step by step and highlight differences between Tunisian dialect and Modern Standard Arabic.
2. Highlight sections you are confident translating into the Tunisian dialect.
Translate this text into the Tunisian dialect, focusing on capturing the essence of the language nuances:

General immunological status of nasopharyngeal carcinoma patients in Singapore. Newly diagnosed NPC patients were found to have impaired general T-cell functions, as determined in vivo by the Mantoux test and in vitro by the PHA response assay. Treated remission patients were as hyporesponsiveness as newly diagnosed patients. PHA hyporesponsiveness was associated with the HLA profile of A2-B Sin 2 and with high antibody titres to EBV-related antigens, in particular to the early antigen. Impaired responses in the Mantoux or PHA tests were associated with poor survival. The impaired response could be partially or totally restored by in vitro treatment of the hyporesponsive lymphocytes with levamisole.
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": "26539ddd94b44420b55a4c600eee2190",
    "updated": "2025-05-19T01:53:48.460Z",
    "title": "Golden Chicken Money Bags",
    "subtitle": "雞肉福袋",
    "description": null,
    "ingredients": [
      {
        "section": "Filling",
        "ingredients": [
          "chicken breast",
          "onion",
          "carrot",
          "dried wood ear mushrooms",
          "salt",
          "sugar",
          "coriander",
          "black pepper"
        ]
      },
      {
        "section": "Pastry",
        "ingredients": [
          "chives",
          "wonton pastry wrappers (sold fresh)."
        ]
      },
      {
        "section": "Cooking",
        "ingredients": [
          "cooking oil"
        ]
      }
    ],
    "instructions": [
      "Soak the mushrooms in boiling water for 10 minutes.",
      "Roughly chop the chicken using a knife.",
      "Chop the onion and coriander and grate the carrot.",
      "Roughly chop the rehydrated, strained mushrooms.",
      "Combine all the ingredients with the chicken, then add the sugar, salt, and generous amounts of pepper.",
      "Bring some water to a boil in a saucepan and blanch the chives for 5 seconds.",
      "Strain, rinse in cold water, and strain again.",
      "Fill a small bowl with water.",
      "Separate the wonton pastry wrappers.",
      "Dollop 1 tablespoon of filling onto the centre of each sheet.",
      "Moisten the edges, join together the four corners, and close up to make an 'aumoniere' (money bag).",
      "Pinch the centre together firmly to seal the pastry.",
      "Tie together with 1 chive.",
      "Set aside on a dish lined with baking paper.",
      "Heat the oil in a deep frying pan (skillet) until it reaches 180°C (350°F).",
      "Drop in a few money bags and brown for 2 minutes.",
      "Pat dry with paper towels.",
      "Repeat with several batches.",
      "Enjoy straight away either on their own or with store-bought sweet chilli sauce."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Element-ui el-table合计属性summary-method的使用
I have a matrix A that contain 1 row and 34000 column, I want to separate 3000 column continuously from one index random column of matrix A and store in matrix B.
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: Let’s make waves with Xion, LFG!
Make a windows desktop app:

1. it will use the Assistants feature from OpenAI
2. it will use TTS feature from OpenAI
3. I want to be able to send a screenshot with a hotkey to it
4. I want to be able to talk to it with my voice with a hotkey
2day itinerary in malaysia
Identify a particular problem on SDG #1: No Poverty. Share your thoughts on how you are going to contribute to the solution of the problem you identified. Essay must not be less than three (3) paragraphs and must take the form “Introduction-Body-Closing” (IBC).
For an 3d rpg game, would it be interesting, and somewhat profound if the player isn't meant to do a perfect job at everything, as long as they get to the end of the game?