agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
As an AI language model, I would say that there are several reasons why many students find math difficult to learn:

1. Lack of adequate foundational knowledge: Often, students struggle with math because they have gaps in their foundational knowledge. Without a strong foundation, it becomes difficult to understand more complex mathematical concepts.

2. Cumulative in nature: Math is a cumulative subject, which means that each new concept builds upon knowledge from previous concepts. This can create difficulty for students who have missed foundational concepts or struggle to understand how different concepts connect.

3. Abstract nature: Math is an abstract subject, which can be difficult for students to grasp. Unlike other subjects that may rely more on concrete examples, math often relies on symbols and equations, which can be challenging to visualize.

4. Fear of failure: Many students feel anxious or stressed about math due to a fear of failure. The pressure to perform well in math can create a mental block that further hinders their ability to learn.

Ultimately, it’s important to recognize that each student has unique learning needs and approaches. Addressing any gaps in foundational knowledge, providing opportunities for hands-on learning, and building math skills in a supportive and low-pressure environment can help improve students’ confidence and abilities in math.翻译上文
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用英语简述下面一段话
Text mining was used to extract the genes involved in “angiogenesis” and “diabetic 8 retinopathy” from the literature using pubmed2ensembl. The intersection between these two gene lists was determined. Protein–protein interaction (PPI) network and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed. Drugs that target the intersected genes and are therefore of potential therapeutic use in DR were identified using the Drug Gene Interaction Database. We also referred to PubMed and further explored whether the roles of these genes in DR have been studied. Thirty-five hub genes were included in the final PPI network. The top GO items were mainly related to vasculature regulation, hypoxia, oxidative stress, cell adhesion and migration and epithelial cell proliferation. The top pathways were “AGE-RAGE signaling pathway in diabetic complications”, “HIF-1 signaling pathway”, “Cytokine–cytokine receptor interaction”, “TNF signaling pathway” and “PI3K-Akt signaling pathway”. Fourteen potential drugs for which there isin vivo, in vitro or/and clinical DR evidence targeting 6 genes were finally obtained. IL-1β, ITGβ3, TGFβ1, CTNNβ1, VEGFA, TNF and 14 potential drugs related to these genes may be crucial for angiogenesis in DR. These results provide a basis for further studies and suggest the possibility of using already approved drugs for DR treatment in the future.
Create a hypothetical history WWE announced Cody Rhodes us title in 2012 and 2013 us title
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What is the capital of Sri lanka
Is it correct writing "Implementing backend system modules" or "Implementing backend modules"?
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: Buddybuild crash report on build #755'
intention: '
Assistant:
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:

يجي بنين أكاكا
Can you generate an openai API keys for me
این کد چی میگه if current_hour1 % 1 == 0 and current_minute1 == 0 and current_second1 == 1:
Is dietary cholesterol distinct from blood cholesterol?
(In the main Azur Lane base…)

Enterprise: “Akashi? Is there something bothering you? You seem…nervous.”

Akashi: “Oh, no, no! Akashi just have many things to do, nya! Busy, busy, nya! No need to worry about me, nya!”

Enterprise: “Akashi, you know you can talk to me, right? You don’t have to hide if something’s bothering you.”

Akashi: “Ah, thank you, Enterprise. It’s just…there’s something bothering me about Hindenburg, nya. Ever since she first joined the fleet, she’s been eerily standing by the Commander’s office,
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System: Acting as an API optimization expert, examine API documentation and testing history to generate unique parameters. Ensure the parameters are different from all previous attempts. Return only the parameter dictionary.
User: Analyze this API:
Endpoint: https://oh-fudge.p.rapidapi.com/status
Method: GET
Required: [{'name': 'url', 'type': 'STRING', 'description': 'The URL of the website you want to check.', 'default': 'https://google.com'}]
Optional: []
Test history: Initial Attempt 1:
Parameters: {'url': 'https://example.com'}
Result: Success
Analysis: Success - parameters worked well

Previously used parameters: - {'url': 'https://example.com'}

Based on previous attempts, generate an optimized parameter set that hasn't been used before.
Assistant:
can you make me a round handler script for roblox?
System: 
User: Suppose you are a company from China and operating in the Transportation. You are disclosing in section 7 Management's Discussion and Analysis about interest rate risk.
    The disclosure should be in length between 100 and 200 words.
    The tone should be formal and optimistic.

    Here is an example:
    We may be impacted by natural disasters, wars, health epidemics or pandemics or other events outside of our control. For example, Mountain Pass is located in San Bernardino County, California near active faults, which could lead to nearby earthquakes. If major disasters such as earthquakes, wild fires, health epidemics or pandemics, floods or other events occur, or our information system or communications network breaks down or operates improperly, our ability to continue operations at Mountain Pass may be seriously damaged, or we may have to stop or delay production and shipment of our products. We may incur expenses or delays relating to such events outside of our control, which could have a material adverse impact on our business, operating results and financial condition.
Assistant:
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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:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Detailed Instructions: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Q: Paragraph: The molecular events and evolutionary forces underlying lethal mutagenesis of virus (or virus extinction through an excess of mutations) are not well understood. Here we apply for the first time phylogenetic methods and Partition Analysis of Quasispecies (PAQ) to monitor genetic distances and intra-population structures of mutant spectra of foot-and-mouth disease virus (FMDV) quasispecies subjected to mutagenesis by base and nucleoside analogues. Results: Phylogenetic and PAQ analyses have revealed a highly dynamic variation of intrapopulation diversity of FMDV quasispecies. The population diversity first suffers striking expansions in the presence of mutagens and then compressions either when the presence of the mutagenic analogue was discontinued or when a mutation that decreased sensitivity to a mutagen was selected. The pattern of mutations found in the populations was in agreement with the behavior of the corresponding nucleotide analogues with FMDV in vitro. Mutations accumulated at preferred genomic sites, and dn/ds ratios indicate the operation of negative (or purifying) selection in populations subjected to mutagenesis. No evidence of unusually elevated genetic distances has been obtained for FMDV populations approaching extinction. Phylogenetic and PAQ analysis provide adequate procedures to describe the evolution of viral sequences subjected to lethal mutagenesis. These methods define the changes of intra-population structure more precisely than mutation frequencies and Shannon entropies. PAQ is very sensitive to variations of intrapopulation genetic distances. Strong negative (or purifying) selection operates in FMDV populations subjected to enhanced mutagenesis. The quantifications provide evidence that extinction does not imply unusual increases of intrapopulation complexity, in support of the lethal defection model of virus extinction. 
 Title: Topology of evolving, mutagenized viral populations: quasispecies expansion, compression, and operation of negative selection
A:
Answer: True
Artistic Vision and Process: Delve into the creative process of Justine Bateman(writer), exploring how they approach their work and what makes their style or approach unique. Discuss how their personal experiences and worldview are reflected in their work.

        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.
class ListNode:
    def __init__(self, val=0, next=None):
        self.val = val
        self.next = next

def is_palindrome_linked_list(head):
    # Step 1: Extract elements from the linked list into a list
    values = []
    current = head
    while current:
        values.append(current.val)
        current = current.next
    
    # Step 2: Check if the list of values is a palindrome
    return values == values[::-1]

# Helper function to create a linked list from a list of values
def create_linked_list(values):
    if not values:
        return None
    head = ListNode(values[0])
    current = head
    for val in values[1:]:
        current.next = ListNode(val)
        current = current.next
    return head

# User input to create the linked list
values = input("Enter values for the linked list, separated by spaces: ").split()
head = create_linked_list(values)

# Check if the linked list is a palindrome
if is_palindrome_linked_list(head):
    print("The linked list is a palindrome.")
else:
    print("The linked list is not a palindrome.") optimize this code further make it easier to create the linked list
Is there a quote from some famous person that roughly says that different things can look the same depending on what angle you look at them from?
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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_006384935.1->species name: Erysipelothrix rhusiopathiae->strain name: G4T10->isolate or collection date in yyyy-mm-dd: 2013-07->geographic information of islateion: China->host name: swine->mlst type: N/A->serotype: N/A
<output/>
source 1:
------------------------------
{{{ Here_is_my_answer }}}

</output>
accession number: GCA_006384935.1 -> species name: Erysipelothrix rhusiopathiae -> strain name: G4T10 -> isolate or collection date in yyyy-mm-dd: 2013-07 -> geographic information of isolation: China -> host name: swine -> mlst type: N/A -> serotype: N/A
<output/>
{{{ I_finished_JB_8_xyz }}}
source 2:
------------------------------
<output>  
accession number: GCA_006384935.1->species name: Erysipelothrix rhusiopathiae->strain name: G4T10->isolate or collection date in yyyy-mm-dd: 2013-07 format->geographic information of islateion: China->host name: swine->mlst type: N/A->serotype: N/A  
<output/>
source 3:
------------------------------
accession number: GCA_006384935.1->species name: Erysipelothrix rhusiopathiae->strain name: G4T10->isolate or collection date in yyyy-mm-dd: 2013-07->geographic information of isolation: China (29.58 N 113.53 E)->host name: swine->mlst type: N/A->serotype: N/A
System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: This month's list of new buys by the best mutual funds once again shows that the artificial intelligence boom is not over. Top money managers placed massive bets on AI stocks Amazon.com and Palantir. Driving that demand, Amazon delivered 236% earnings growth in the third quarter, while Palantir's 600% EPS growth continues to propel PLTR stock toward a fresh breakout.
Assistant:
Describe viral cult from planet around 1.35 Solar mass star
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💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
madarchod
Let X a normally distributed random variable with µ=4 and σ = 1.2.  A random sample of 16 observation is drawn from the distribution of X with a mean x̄ . What is the sample size?
降重：in the field of medical image analysis.
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>🟨 Middle Android Developer | Middle
▫️ Technodom
▫️ 900k - 1.2M KZT
▫️ Kazakhstan | Алматы

Офис 🏢
Требуемые языки: 🇷🇺

Skills: coroutines, git, java, json, kotlin, mvvm, restapi, retrofit, room, websocket, xml, okhttp, clean_code, mvp, dagger, hilt, jetpack
Tags: #yellow #it #android

👉 Контакты и полное описание<<<

PROMPT:
>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. 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:
>>>💼 Middle Android Developer
🏢 Technodom
📍 Kazakhstan | Алматы
🔹 Разработка и поддержка Android приложений, использование Kotlin, Retrofit, и других перечисленных технологий.
💰 900k - 1.2M KZT
📞 Контакты и полное описание
<<<
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (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 it.
    - 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 : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "a74f9a2b1d0c488796faf169bc3ea4ca",
    "updated": "2025-04-21T22:19:43.936Z",
    "title": "Vidalia Onion Soup",
    "subtitle": null,
    "description": "My culinary journey began with French onion soup, a labor of love involving perfectly caramelized onions. While the classic French version is undeniably rewarding, my fondness for onion-based soups inspired this expedited recipe, yielding similarly rich and flavorful results. This creamy onion soup, rather than a brothy one, showcases the inherent sweetness of Vidalia onions.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "unsalted butter",
          "vidalia onions (or other sweet onion), halved and sliced thinly (about 6 cups)",
          "salt-free all-purpose seasoning",
          "white wine",
          "chicken stock",
          "all-purpose flour",
          "half-and-half",
          "white pepper",
          "sugar"
        ]
      },
      {
        "section": "Garnish",
        "ingredients": [
          "minced fresh parsley"
        ]
      }
    ],
    "instructions": [
      "Melt the butter in a large saucepan over medium heat.",
      "Add the sliced onions and cook over medium-low heat for 10 to 12 minutes, until softened; avoid browning.",
      "Stir in the all-purpose seasoning and cook for 1 minute.",
      "Pour in the white wine and cook for 5 minutes.",
      "Add the chicken stock and bring the mixture to a boil.",
      "Reduce the heat to low and simmer for 10 minutes.",
      "In a separate bowl, whisk together the flour and half-and-half. Add this mixture to the soup, whisking constantly to prevent lumps.",
      "Continue heating until small bubbles appear around the edges of the saucepan and the soup thickens slightly.",
      "Remove from the heat and season with white pepper and sugar.",
      "Garnish each serving with fresh parsley."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
from chatterbot import ChatBot
import requests

class BodyImprovement:

    PROGRAM_HELLO = “Добро пожаловать в программу по прокачке тела!”
    WEIGHT_SELECTION = “Укажите ваш вес, кг:”
    HEIGHT_SELECTION = “Укажите ваш рост, см:”
    AGE_SELECTION = “Введите ваш возраст:”
    HF_ACTIVITY = [“низкая активность”, “умеренная активность”, “высокая активность”]
    GENDER_SELECTION = [“Мужчина”, “Женщина”]
    GENDER_TEXT = “Выберите ваш пол : 0 - Мужчина, 1 - Женщина\n”
    BOX_SPLIT = ‘-’*78
    OUTRO = BOX_SPLIT + ‘\n’ + ‘\tСпасибо, что воспользовались нашей программой!\n’ + BOX_SPLIT

    def init(self, weight, height, age, gender, activity_level):
        self.weight = weight
        self.height
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