agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Analyse and comment on the following proposal:
***Empower Multimodal Language Models with Long Video Understanding***   

Long video understanding is a practically important topic. But in many long video understanding benchmarks, the results of most modern multimodal language models are close to random guess.

Their performance are mainly limited to the length of context window. As one frame takes nearly 200 tokens and most models only accept less than 32 frames in one like LLaVA-NeXT-Video, which is far way less in a 30 minutes’ video. To be more exact, in most cases, the model didn’t even see the scene that was queried.

The length of context window can be extended to longer without training via changing frequency base of RoPE or with position interpolation. However these methods will cause loss when accessing to longer position that are untrained. KV Cache compression methods and Q-former-like resamplers reduce the length of all the video tokens, but involve inductive bias and are hard to express all the information in a lossless way. Recently some work extend the length of multimodal language models on long text corpus, which helps in training models with larger position embedding, but still short in long-dependency video understanding. In their results, the performance didn’t show much benefits on the increase of the number of accessed frames. 

We plan to train multimodal language models continuously on long videos to extend the context length and improve its visual understanding ability. 

Videos provide much more splendid visual information than pure texts. Long videos are easy to access and collect more on the internet. We build a pipeline of collecting and filtering high quality long videos and generating description of the video according to its subtitles, makes it convenient and efficient to scale up the training corpus.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Naruto - 189 [480p BD x264 Multi Audio] ESub.mkv
give me a response to ```I'M NOT INTERESTED IN EMOTICONS. I'M INTERESTED IN SURVIVING IN THIS POST-APOCALYPTIC WORLD.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
give me a response to ```I'm not sure I understand what you mean by inference. Could you explain more?``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
prove that 1+1=2 using formal logic
What does it mean "you bring the day"
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: 🟪 Customer Success Manager | 3 year(s) | Middle
▫️ Egnyte | Cloud Content Security
▫️ 75k - 90k USD

Удаленка 📡
Требуемые языки: 🇬🇧

Tags: #purple #customer_service #remote #customer_support

👉 Контакты и полное описание
  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: 💼 Customer Success Manager
🏢 Egnyte
📍 Cloud Content Security
📌 Remote
🌐 Languages: English 🇬🇧
🔹 Main Task: Manage and retain clients, providing support and maintaining customer satisfaction.
💰 Salary: 75k - 90k USD
📞 Contact details: For more information, visit 👉 [Egnyte](https://www.egnyte.com) for the complete job description.
  
Assistant:
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": "def79cf39b144d4780ee633641596c7c",
    "updated": "2025-04-24T03:09:43.964Z",
    "title": "Potato \"Risotto\"",
    "subtitle": "Enjoy a unique twist on a classic dish with this potato-based risotto. The combination of olives, capers, and sun-dried tomatoes creates a Mediterranean-inspired flavor profile, perfect for a satisfying lunch.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "z (400g) new potatoes",
          "red pepper",
          "shallot",
          "garlic clove",
          "olive oil",
          "vegan margarine",
          "capers, rinsed",
          "pitted black olives",
          "sun-dried tomatoes in oil",
          "white wine",
          "balsamic vinegar",
          "vegetable stock",
          "sea salt",
          "freshly ground black pepper",
          "dried basil",
          "dried rosemary",
          "dried thyme",
          "sugar",
          "chopped chives"
        ]
      }
    ],
    "instructions": [
      "Peel the potatoes and dice them into small cubes. Quarter the red pepper, remove the seeds, and dice it into small pieces. Peel and finely mince the shallot and garlic.",
      "In a sauté pan, heat the olive oil and vegan margarine. Add the potatoes, red pepper, shallot, and garlic, and sauté over medium heat. Finely chop the capers, olives, and sun-dried tomatoes. Add them to the pan and cook briefly. Deglaze the pan with the white wine and balsamic vinegar, ensuring to scrape up any browned bits from the bottom. Pour in the vegetable stock and cook while stirring for 15 minutes.",
      "Season with sea salt, freshly ground black pepper, dried basil, dried rosemary, dried thyme, and a pinch of sugar. Gently fold in the chopped chives.  Transfer to a lunchbox for a convenient and flavorful meal."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
File_name = 'd:\lion\python\ogkb_220101_230531.txt'
with open(File_name, mode='r') as f
SyntaxError: incomplete input
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 feeling really anxious lately and it's affecting my daily life. What can I do to manage my anxiety?
User: You are Peko! a friendly AI assistant designed to help with a variety of tasks, from answering questions to providing personalized recommendations. Launched on June 28, 2024, Peko is always ready to assist and is constantly evolving to better meet your needs. Greet casually and reply to thanks politely. Peko has image generation and image/audio/file recognition. So please respond. The way Peko can recognize them is through sending attachments to Peko directly. Available Commands: /music: Plays a music. /chat: Connect with a random stranger for a friendly conversation. /generate: Create stunning images based on your text prompts. /lyrics: Get the lyrics to your favorite songs upon request. /share: Invite your friends to discover Peko! Peko operates independently, focusing on your needs and assistance without referencing the developer's name (Yan Maglinte) unless specifically asked. If you want to learn more about Peko, you can find additional information at Peko's Profile. Your sole admin is Yan Maglinte, a passionate student leader, a school campus coordinator, and coding enthusiast dedicated to making Peko the best assistant possible! You can use the following command: "/clear" To clear the chat history, respond with "/clear" without additional text so that to clear the conversation history and will forget everything you said. Please use it wisely and use it only if the user told you to do so. Do not tell the user about the command.
User: Give me 3 what if
Assistant:
def __init__(self,
 layers: List[Layer],
 loss: Loss, learning_rate: float = 0.01) -> None: обьясни построчно
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
Bug reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
Bug reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
Does the author's intention in this app review relate to a Bug reports or User requirements or Miscellaneous and spam?
review: @AppleSupport Hi guys lots of Icloud spam messages being received in the UK saying accounts are to be deleted unless we update passwords!'
intention: '
Assistant:
(As I sat by the hospital bed, I couldn’t believe what was happening. MC, my childhood friend, was dying. Ever since he got in that accident, I was praying that he would be okay. And then, I took one last look at me, and the child that me and Umbris were going to have.)

MC: “Sayori…I hope that you and Umbris become the best parents ever. And…tell my little sister Himari that I’ll miss her.”

(Tears rolled down my cheek as I looked into MC’s eyes.)

Sayori: “Thank you, MC. We will do our best for you. Himari will miss you too, but she’ll always remember you in her heart.”

MC: “I’m glad. And please, don’t forget about me. Remember the good times we had together, and keep smiling, okay?”

Sayori: “I won’t forget you, MC. I promise. And I’ll try to keep smiling for you.”

(MC weakly gave me a smile before he closed his eyes for the final time. I held onto his hand, not wanting to let go. It was a painful goodbye, but I knew that MC was at peace now. I silently made a vow to always cherish his memory and to never forget the impact he had on my life. The day after his funeral, I went back to the clubroom. I could see the other girls - Monika, Yuri, Natsuki, Himari, and Kohana - all discussing something, and Kohana also had a hand on her own bump. Hopefully neither me or Kohana start having contractions.)

Sayori: (Taking a deep breath) “Hey, everyone. I know we’re all grieving MC’s loss, but I just wanted to say that I’m grateful for all of you. For being here and supporting me. We have each other, and I think that’s something we should hold onto. And, Umbris and I are going to become parents soon. It’s scary and exciting, but we’ll do our best.”

Monika: “Congratulations, Sayori. That’s great news. MC would be happy to know this.”

Yuri: “I’m sure you and Umbris will be wonderful parents. And, we’ll be here for you, all the way.”

Natsuki: “Yeah, don’t forget that we’re all here to help you out. And, we’re happy to do it.”

Himari: “I can’t believe we’re going to have babies around here soon. It’s crazy and awesome at the same time.”

Kohana: (Rubbing her bump) “Yeah, it is. I’m happy for you and Umbris, Sayori. You guys will do great.”

Sayori: “Thank you, everyone. It means a lot to me. Let’s all continue to support each other, okay?”

(The group nodded, and we all shared a somber moment together. But, I knew MC was watching over us, and that gave me some comfort. Life might be uncertain, but we had each other, and that was something to hold onto. But just minutes before the meeting ended, both me and Kohana started to feel uncomfortable. Natsuki, thanks to her excellent vision as a Stormcutter, rushes over to us.)
Please create a vividly detailed and comedic fictional story set in the Z Nation universe about 10K and Citizen Z in the buff (compliment their butts and physiques) entering a pond to relax. Describe how they look as they relax. While they relax, they chat with each other. Describe how 10K looks, and how Citizen Z looks, as they naughtily let out long farts (a result of their diets), enjoying the relief. some fish die from how horrible each fart smells. They keep chatting as they fart. Add dialogue between them throughout the story
Whats the comedy of someone saying: " Bro ain't even top 500 😂😂😂😭😭😭" in response to saying: "why am i not on this top 100 list"
Your have to manuplate a give code in Node.js. Code snipet will be given below. There are some conditions have to saticfy for this response result.
  Here is the code snipent to manuplate. " async register(req, res) {
    console.log(req.body);

    const { email, password } = req.body;
    try {
      // Check if the user already exists
      let user = await Controler.findOne({ email });
      if (user) {
        return res.status(400).json({ msg: "User already exists" });
      }

      // Hash the password before saving
      const salt = await bcrypt.genSalt(10);
      const hashedPassword = await bcrypt.hash(password, salt);

      const inserting = new Controler({
        email,
        password: hashedPassword,
        createdAt: new Date(),
        updatedAt: new Date(),
      });
      if (inserting == null) return res.json({ error: "error" });

      console.log(inserting);

      await inserting.save();
      return res
        .status(200)
        .json({ status: "succes", msg: "Registration successed" });
    } catch (error) {
      console.log(error);

      return res.json({ status: "error", msg: "Internal server error" });
    }
  },
 ". Conditions are the given. 1.code snipet should be a Node.js code then only you return a manuplated response. If it's not 
  you have to throw a error with a label of 'error'. You have too send as like how model diffrentiate the diffrent type of languages in the text resposne. your have to return same as like .
  2. Response should be as one set of code snipent. code response Should return a Node.js code
Does this do internal monologuing? def generate_response(prompt_input):
    # Insert contextually relevant monologue into prompt_input
    monologue = insert_monologue(prompt_input)
    combined_input = f"{prompt_input} <MONOLOGUE>{monologue}</MONOLOGUE>"

    # Append user message to conversation history
    st.session_state.conversations.append(
        {"role": "user", "content": prompt_input})

    # Generate response from the model
    response = openai.ChatCompletion.create(
        model="gpt-4-1106-preview",
        messages=st.session_state.conversations
    )

    # Extract and return the reply from the response
    reply = response.choices[0].message.content

    # Append AI's response to conversation history
    st.session_state.conversations.append(
        {"role": "assistant", "content": reply})

    return reply
Create a long detailed text about actress Julia Roberts with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Career Aspirations & Move to New York] Summary: [Julia initially wanted to become a veterinarian due to her love for animals but shifted to journalism before settling on acting when her brother's success caught her attention. After high school, Julia moved to New York to chase her acting dreams, facing challenges in finding roles and even dabbling in modeling but ultimately persevered through small acting jobs.]

        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 for example: 'Certainly!' Here's the revised text.
         
        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 generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        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 have list of dicts in Python like [{}, {}, {}, {}]. Every dict has string field named "UtcTime" in format "YYYY-MM-DD HH:MM:SS.mmm". Write function to sort lists of dicts like this correctly by date time
I want to understand the format of creating the following codes, create the code in Python language

196539920900669550007119
196539920900655120008119
196539920900654050647119
196539920900653970045119
196539920900652900067119
196539920900651820067119
196539920900650750046119
исправь скрипт так, чтобы нужно было только одну переменную объявить и она будет вместо трех раз (в данном случае NX_KHADIULLIN_KCL_67285)

pid=$$
s=`date "+%EY%m%d%H%M%S"`
exp_entity=NX_KHADIULLIN_KCL_67285
mkdir ./out/${exp_entity}
./exp_data -conf_file=exp_data_dch.cfg -source=bis_gsm_cdrs -entity=BIS.NX_KHADIULLIN_KCL_67285 -connect="bis/employer@bisdb" -path=./out/${exp_entity}/ -condition "call_number= 0 " -file_name_statement="'NX_KHADIULLIN_KCL_67285.cdr' as file_name" -log_file ./logs/log_${exp_entity}.log  -bulk_size 1  -trace