agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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->accesssion number" followed by 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_029074765.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_39->isolate or collection date in yyyy-mm-dd: 1981-11-23 format->geographic information of islateion: Australia->host name: pig->mlst type: 98->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029074765.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_39->isolate or collection date in yyyy-mm-dd: 1981-11-23->geographic information of islateion: Australia->host name: pig->mlst type: 98->serotype: N/A->vaccine: no




source 2:
------------------------------
<output>
accession number: GCA_029074765.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_39->isolate or collection date in yyyy-mm-dd: 1981-11-23->geographic information of islateion: Australia->host name: pig->mlst type: 98->serotype: N/A->vaccine: no
<output/>
source 3:
------------------------------
accession number: GCA_029074765.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_39->isolate or collection date in yyyy-mm-dd: 1981-11-23->geographic information of isolation: Australia->host name: pig->mlst type: 98->serotype: N/A->vaccine: no
What does it mean by this? Explain please "Pacifica: This is really a bad match....against me!"
A female patient presented with a painless, hard mass on her left forehead that has been present for six months. The mass is approximately 2x3 cm and has a clear boundary but is poorly mobile. There are no associated symptoms such as epiphora, blurred vision, or diminished visual acuity. Nasopharyngeal examination was normal. Imaging studies of the sinuses revealed a mass in the left frontal bone. What is the most likely diagnosis for this patient\\'s frontal bone mass? A. osteoma B. ossifying hemangioma
Send only episode number from below text like 01, 02, 03.etc without any extra text.

between.walls.s01e01.480p.web.x264.rmteam.mkv
MOTHER 3 is in an interesting legal situation. This game doesn't exist for authorities of most of countries except Japan
Here are example(s) of sentences that use a certain word, which has been replaced by [_]. The word replaced by [_] may be an existing word, or it may be a newly invented word. [_] is the same word in all of the following examples:

1. John [_] Jane a necklace.

Task: Give an accurate definition for the word that was replaced by [_] based upon its usage in the examples above, exactly as it would appear in a dictionary, including part(s) of speech. Begin with "The dictionary definition of word [_] is as follows:".
What are the advantages and disadvantages of diesel fuel versus gasoline?
[Response must be at least 140 words]
Is a proton stream more or less dangerous than a neutron or electron stream?
What is 1+ 1 x 1
nta ina version
how much urine can the average diaper hold?
HOW TO INSTAL SAP
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': Tuần 1: 33 đến 35oC., Tuần 2: 31 đến 33oC,
User: Code execution result with Python 3.12.3:


STDERR:
curl: try 'curl --help' or 'curl --manual' for more information
User: Please explain me error from the STDERR section. Be as coinsize as possible.
Assistant:
Next Generation Science Standards (NGSS)
Send only season number from below text like 01, 02, 03.etc without any extra text.

the.nature.of.things.with.david.suzuki.s64e06.shared.planet.waters.480p.webrip.x264.rmteam.mkv
the following is list of topics for bachelor level corse :An introduction to cellular biochemistry and its brief history in research in the area of cellular biochemistry Basics of Cell biochemistry (structure & function) – Discovery of cell and Cell Theory Eukaryotic and Prokaryotic cell and the difference in biochemical reactions in both the cells Comparison between plant and animal cells on structural and biochemical level Role and regulation of cell i.e. Cell wall, Plasma membrane, Cytoskeleton, Protoplasm,  Mitochondria,  Chloroplast,   ER, Golgi complex, Lysosome, Ribosome, Nucleus and their biochemical reactions Biochemical components of a cells Cell division, Mitosis, meiosis, Cell cycle overview,  Programmed cell death (Apoptosis), intrinsic & extrinsic pathway Intrinsic & extrinsic pathway  , write name of a book that cover these topics in its contents with name of the book
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Mononoke The Phantom in the Rain (2024) [RareToonsIndia]_720P HD.mp4
User: breakout artinya
User: breakout artinya
Assistant:
Write a detailed article about the uplift project.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (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 pt.
    - 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 : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "9565a8be46914bbe850126406fe0b457",
    "updated": "2025-04-25T23:18:57.642Z",
    "title": "Spicy Brown Mustard",
    "subtitle": "",
    "description": "This homemade mustard recipe offers a flavorful alternative to store-bought options, reminiscent of coarse-ground French mustards like Grey Poupon Country French. Interestingly, mustard doesn't typically suffer from a lack of added salt, making this a potentially healthier choice.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(59 g) mustard seeds",
          "(48 g) dry mustard",
          "(157 ml) water, boiling",
          "(235 ml) cider vinegar",
          "(15 ml) light corn syrup",
          "(10 g) brown sugar",
          "onion powder",
          "garlic powder",
          "ground cinnamon",
          "ground allspice",
          "ground cloves"
        ]
      }
    ],
    "instructions": [
      "Combine the mustard seeds, dry mustard, and boiling water in a small bowl.",
      "Mix well and let it rest for 10 minutes.",
      "In a saucepan, combine the cider vinegar, light corn syrup, brown sugar, onion powder, garlic powder, ground cinnamon, ground allspice, and ground cloves. Bring this mixture to a boil.",
      "Lower the heat, cover the saucepan, and simmer for 5 minutes.",
      "Remove the saucepan from the heat.",
      "Transfer both the mustard mixture and the vinegar mixture to a blender. Blend at high speed until the mustard seeds are crushed.",
      "Pour the blended mustard into a pint jar and store it in the refrigerator.",
      "The mustard can be used immediately."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Describe the suit designs of 10 different Supermans, in full details
How can I get a job as GRC Analyst from being Helpdesk Support
Generate an etsy title for a art work that can be added to mugs, painting, tshirt, etc within 140 characters with no & only | to separate without first word being whimsical and is the name of the artDaisy flower.
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
Bug report: Reviews that report a problem, such as faulty behavior of the application or of a specific feature
Feature strength: Reviews that identify an aspect about an existing feature that users are satisfied with
Feature shortcoming: Reviews that identify an aspect about an existing feature that users are unsatisfied with
User request: Reviews that ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature
Praise: Reviews where users express general appreciation with the application. It focuses on general judgment, unlike feature strength which emphasizes on the positive feedback about a specific feature
Complaint: Reviews where users express general dissatisfaction with the application. In contrast with feature shortcoming which focuses on the negative feedback about a specific existing feature, general complaint concentrates on general judgment
Usage scenario: Reviews where users describe workarounds, use cases and scenarios involving the app
Noise: Reviews that do not belong to any other categories.
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 report: Reviews that report a problem, such as faulty behavior of the application or of a specific feature
Feature strength: Reviews that identify an aspect about an existing feature that users are satisfied with
Feature shortcoming: Reviews that identify an aspect about an existing feature that users are unsatisfied with
User request: Reviews that ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature
Praise: Reviews where users express general appreciation with the application. It focuses on general judgment, unlike feature strength which emphasizes on the positive feedback about a specific feature
Complaint: Reviews where users express general dissatisfaction with the application. In contrast with feature shortcoming which focuses on the negative feedback about a specific existing feature, general complaint concentrates on general judgment
Usage scenario: Reviews where users describe workarounds, use cases and scenarios involving the app
Noise: Reviews that do not belong to any other categories.
Does the author's intention in this app review relate to a Bug report or Feature strength or Feature shortcoming or User request or Praise or Complaint or Usage scenario or Noise?
review:  Can't receive sent pins! My pinterest worked GREAT up until about 5 days ago. I haven't received any new notifications in 5 days and people keep asking me if I have received the pins they have sent me. Website says this problem is resolved but I am getting nothing...kind of disappointing....'
intention: '
Assistant:
A cylindrical beaker of height 0.100 m
 and negligible weight is filled to the brim with a fluid of density ρ
 = 890 kg/m3
 . When the beaker is placed on a scale, its weight is measured to be 1.00 N
 .(Figure 1)
A ball of density ρb
 = 5000 kg/m3
 and volume V
 = 60.0 cm3
 is then submerged in the fluid, so that some of the fluid spills over the side of the beaker. The ball is held in place by a stiff rod of negligible volume and weight. Throughout the problem, assume the acceleration due to gravity is g
 = 9.81 m/s2
 .
Write a first message to her, including how beautiful she looks and it’s a pleasure matching with her, her name is Tania and mine is Mitch
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
3 avantages de la culture du manioc pour les jeunes
Dịch đoạn code sau sang Python: void init(int b)
{
fill(c+1,c+b+1,1);
for (ll i=2;i*i<=b;i++)
    for (ll j=i*i;j<=b;j+=i)
{
    c[j]+=i;
    if (i*i!=j)
        c[j]+=j/i;
}
Can you give me some free soruce on internet when I can have a six sigma template to report project progress
Can you explain the soy becomes sentient conspiracy theory?
Write a forum convo where in the UK on March 18, Disney XD is becoming Jetix again, the schedule is changing, some old favs are returning, some are staying, sadly this means the end of the road for GF and WoY
(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 her screams of labor coming from the bathroom.)

Yuri: (rushing towards the bathroom) “Oh no! Natsuki must be in trouble!”

Sayori: (running towards the bathroom as well) “We have to help her!”

Monika: (following closely behind) “Let’s hurry!”

(The three girls burst into the bathroom to find Natsuki giving birth in her bathtub. She was in the final stages of childbirth - despite her the fact her baby girl, Sakura, was going to be premature.)
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: Jaylen is the name of the user you are talking to!
User: 
Assistant: Hey, I'm still here! 😄 If you feel like saying something fun or just want to vent, I'm all ears! What's up? ✨🌈
User: 
Assistant: Um, I hope everything's okay! If you feel like sharing, I'm here to listen. 😊 We can talk about anything you want! Like, what's your favorite movie or game? 🎮🍿
User: 
Assistant: Hey, I'm here! 😄 Just chilling and waiting to chat! What's something fun you did today? Or do you have a favorite snack? 🍕✨
User: 
Assistant:
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 stressed out lately and I don't know how to relax.
const normalizeActions = (rawActions) => {
      const parts = rawActions?.split("&?") || [];
      const normalizedClauses = [];
  
      for (const part of parts) {
        const items = part.split(",").map(v => stripHTML4(v));
        const clause = items.sort().join(" ").trim();
        if (clause) normalizedClauses.push(clause);
      }
  
      normalizedClauses.sort((a, b) => a.localeCompare(b));
  
      return normalizedClauses.join(" | ");
    };


AutomationTabs.js:1460 Uncaught TypeError: rawActions.split is not a function
    at normalizeActions (AutomationTabs.js:1460:33)
    at findDuplicateRulestype1and3 (AutomationTabs.js:1481:33)
    at AutomationTabs.js:1306:41

react-dom.development.js:20085 The above error occurred in the <Automati

why this and fix this
as a marketer, what is the best way to come up with a good product to sell on amazon. with a $10k investment
please enhance my prompt "a traditional appalachian bluegrass folk song with male vocals, banjo, fiddle, and harmonica, about a father and son hiking up cypress mountain to cabin lake in august"
ترجم لي للعربيه um 
my name is Vio, I am 16 years old,I'm Indonesian, My hobbies are badminton, drawing, and singing, that's all right?
User: hello
Assistant: Hello! How can I assist you today?
User: tell me some random facts
Assistant:
write a program in Python to make a light flash.