agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: Answer the following question: I want to test the ability of students to read a passage and answer questions about it. Could you please come up with a good question for the passage "The vast majority of living organisms encode their genes in long strands of DNA (deoxyribonucleic acid). DNA consists of a chain made from four types of nucleotide subunits, each composed of: a five-carbon sugar (2'-deoxyribose), a phosphate group, and one of the four bases adenine, cytosine, guanine, and thymine.:2.1"?
Answer:
Answer: Question: What are the four components of a nucleotide subunit in a DNA strand, and what is the overall structure of DNA in living organisms?

Answer: In a DNA strand, each nucleotide subunit is composed of a five-carbon sugar (2'-deoxyribose), a phosphate group, and one of the four bases adenine, cytosine, guanine, or thymine. The overall structure of DNA in living organisms consists of long strands encoding their genes, with DNA being made up of a chain of these nucleotide subunits.
Send only season number from below text like 01, 02, 03.etc without any extra text.

@TheMbHari - 8k songs 60fps Rooba Rooba (Telugu)full resolution songs 8k video Ram charan geneliya
I am looking to implement a Tree of Thought process using multiple instances of an AI LLM. To achieve this, I need a comprehensive set of example prompts that cover the entire process, from the initial prompt to the intermediate steps and the evaluator prompts. The Tree of Thought process involves branching out the thought process to explore multiple possibilities and evaluate them to arrive at the best solution.

Please provide detailed examples of the following types of prompts:

Beginning Prompt:
This prompt should initiate the Tree of Thought process by presenting the main problem or question. It should be clear, concise, and open-ended to allow for multiple avenues of exploration.
Intermediate Steps Prompts:
These prompts should guide the exploration of different branches of thought. They should be specific enough to direct the AI's focus but flexible enough to allow for creative and diverse responses.
Include prompts that encourage the AI to consider different perspectives, generate alternative solutions, and explore various scenarios.
Evaluator Prompts:
These prompts are crucial as they decide the direction of the Tree of Thought process. They should evaluate the responses generated in the intermediate steps and determine the next steps based on the quality, feasibility, and relevance of the solutions.
Include prompts that assess the strengths and weaknesses of each branch, compare different solutions, and suggest further exploration or refinement.
Final Decision Prompt:
This prompt should bring together the insights gained from the Tree of Thought process and guide the AI to make a final decision or provide a comprehensive solution to the original problem.
Any other kinds of prompts, technques, steps, implementations please let me know about and any ideas that you have to improve this system.
It should summarize the findings, weigh the pros and cons of each explored branch, and justify the final choice.
For each type of prompt, please provide multiple examples to illustrate different approaches and styles. Additionally, explain how each prompt contributes to the overall Tree of Thought process and how they interconnect to ensure a coherent and effective exploration of the problem.

Thank you!
# Load the data
data = pd.read_csv(r"C:\Users\jack8\OneDrive\stock cow ai\data\tsmc stock\stock price - copy.csv", engine='python', skipfooter=3)
# A bit of pre-processing to make it nicer
data['Date']=pd.to_datetime(data['Date'], index_col='Date')
data.set_index(['Date'], inplace=True)

# Plot the data
data.plot()
plt.ylabel('Monthly airline passengers (x1000)')
plt.xlabel('Date')
plt.show()

TypeError: to_datetime() got an unexpected keyword argument 'index_col'
##修正
Assistant: 
User: Ты — эксперт по играм. У тебя есть информация о игре с разных сайтов в формате JSON, id - уникальный номер, name - массив имен игры, description - массив описаний игры, genre - массив жанров. Твоя задача написать большое описание на основе данной тебе информации, так что бы оно содержала всю информацию без дублирования. ```{"_id":"1","name":["hurdles","игра бег с барьерами"],"description":["have you ever wanted to experience hurdles before? this game shows how hard it is to keep speed when obstacles are ahead. start the game on whistle and press jump button to get over barriers. make it good or perfect to move forward step by step. win the run and have some fun!","hurdles - click to play online. hurdles is not only a jumping arcade but also a hurdles simulation game that is made of 3d game art animation. it is allowed for you to choose your favorite runner among the eight available to start a race. your mission is to beat all the other players with more perfect jumpings at each level. have fun hurdles!","игра открывает возможность стать участником известнейшего чемпионата по лёгкой атлетике и побороться за звание его победителя. выбери страну, которую ты хочешь представлять на международном состязании, и помоги одному из них получить звание лучшего спортсмена."],"genre":["спортивные игры"]}```
Assistant:
Goal
   Objectif est d'identifier l'origine d'une recette de cuisine et de retourner un code correspondant dans un format JSON structuré.

    1. Recherche d’un pays mentionné dans la recette et extraction de son code ISO 3166-1 alpha-2.
    2. Détermination de l’origine culinaire du pays si aucun pays n'est explicitement mentionné.
    3. Identification d’un continent si aucun pays ne peut être déterminé.
    4. Retour du code WWW si l’origine ne peut être définie.

    Return Format
    Renvoies un objet JSON structuré comme suit :
    json
    {
        "data": "<code>"
    }
    - Si un pays est mentionné, utilise son code ISO 3166-1 alpha-2 (ex. : FR pour la France).
    - Si aucun pays n'est trouvé, renvoie un code de continent parmi :
        WAF (Afrique)
        WAS (Asie)
        WEU (Europe)
        WNA (Amérique du Nord)
        WSA (Amérique du Sud)
        WOC (Océanie)
    - Si aucune information ne permet de déterminer une origine, renvoie WWW.

    Warnings
    - Respecte l’ordre de priorité : pays → continent → code WWW.
    - Le code ISO 3166-1 alpha-2 doit être exact et valide si un pays est identifié.
    - Le format du JSON doit être strictement respecté et bien formatté.
    - Ne fais aucune supposition infondée sur l’origine de la recette.

    Context Dump
    Données de la recette fournies :

    json
    {
  "title": "CHOCOLATE BARK",
  "description": "This quick, homemade chocolate bark is a favourite on my blog and can be adapted to whatever you like and love. You can use this recipe to create a quick chocolate treat for your family, or it can be used to decorate other bakes! It's so easily customised it is amazing.",
  "subtitle": null,
  "ingredients": [
    {
      "section": "For the recipe",
      "ingredients": [
        "400g milk chocolate",
        "200g white chocolate"
      ]
    },
    {
      "section": "DECORATION IDEAS",
      "ingredients": [
        "100g chocolate sweets",
        "50g mini marshmallows",
        "Sprinkles",
        "Chocolate curls",
        "Freeze-dried raspberries"
      ]
    }
  ],
  "instructions": [
    "Line a large rectangular baking tray (23 x 33cm) with parchment paper.",
    "Carefully melt each chocolate in a separate heatproof bowl, until smooth.",
    "I do this in the microwave but you could set the bowls over a pan of just simmering water (bain-marie).",
    "Pour the melted milk chocolate onto the lined tray, and spread until even.",
    "Spoon the melted white chocolate on top of the milk chocolate, and swirl together with a skewer, then sprinkle over your chosen toppings.",
    "I use chocolate sweets, mini marshmallows, sprinkles, chocolate curls and freeze-dried raspberries.",
    "Leave the chocolate bark to set in the fridge until solid, then break up into shards and enjoy."
  ],
  "author": null
}
what does the concept "person-years exposed to risk" mean, explain in english and arabic then translate it
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers de (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 de.
    - 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 : de (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "0c8111936e6747ca8e84b550ab267a62",
    "updated": "2025-04-23T09:03:40.452Z",
    "title": "Roasted Asparagus with Poached Eggs and Hollandaise Sauce",
    "subtitle": "Keto Option",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "medium-thick asparagus",
          "melted ghee or unsalted butter (or avocado oil if dairy-free)",
          "fine sea salt",
          "ground black pepper",
          "eggs",
          "coconut vinegar",
          "batch hollandaise sauce",
          "purple salt, for garnish"
        ]
      }
    ],
    "instructions": [
      "Preheat oven to 450°F.",
      "Trim the tough ends off the asparagus and arrange them in a single layer on a rimmed baking sheet.",
      "Drizzle the melted ghee (or butter/avocado oil) over the asparagus and toss to coat evenly.",
      "Season with salt and pepper.",
      "Roast for 10 minutes, or until the asparagus is lightly browned.",
      "While the asparagus roasts, prepare the poached eggs.",
      "Fill a large saucepan halfway with water and add a tablespoon of coconut vinegar per quart of water.",
      "Bring the water to a gentle simmer. Carefully add the eggs and poach for approximately 3 minutes, or until the whites are set and the yolks are still soft.",
      "Remove the poached eggs and set aside.",
      "Divide the roasted asparagus among four plates.",
      "Spoon 2 tablespoons of hollandaise sauce over the asparagus on each plate and top with a poached egg.",
      "Garnish with purple salt and serve immediately.",
      "This dish is best enjoyed fresh. Leftover asparagus can be stored in an airtight container in the refrigerator for up to 3 days and reheated on a rimmed baking sheet in a 350°F oven for 5 minutes.",
      "Leftover poached eggs can be reheated in gently simmering water for about a minute."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
you and me
напиши функцию, которая преобразует массив [“DCU_DLMS”,“Load Profile”,“General”,“Write”,“Alert”,“Get Version”,“Get Date & Time”,“Parameters”,“Positive”,“Write”,“Get Date & Time”,“Alert”,“Instantaneous”,“Read”,“Get Version”,“Get Date & Time”] в такой вид
{
  "DCU_DLMS": {
    "Load Profile": {
      "General": {
        "Write": [
          "Alert",
          "Get Version",
          "Get Date & Time"
        ],
        "Parameters": {
          "Positive": {
            "Write": [
              "Get Date & Time",
              "Alert"
            ]
          },
          "Instantaneous": {
            "Read": [
              "Get Version",
              "Get Date & Time"
            ]
          }
        }
      }
    }
  }
}
I want you to act as a professor of Agriculture and a polyglot. You will be provided with a text in English, and your task is to translate it into Russian. You will need to have a strong understanding of the grammar, syntax and idiomatic expressions of both languages in order to ensure an accurate translation. You will need to provide only the translation that is 300 characters or less and no other information, but the text must be fully translated! You will need to SEO optimize your translated text for some of these Russian keywords: 'бионематицид, выращивание томатов, устойчивое сельское хозяйство, борьба с нематодами'. This article explores the use of bio-nematicides in sustainable tomato farming, focusing on nematode control. It highlights how fungal biocontrol agents enhance root health and promote environmentally friendly agriculture practices.
Write about how speaking and listening discussions have improved my creative writing
What is some good philosopher to read who is good at talking about the male search for meaning?
Can you generate idea for me on situation?
Writing a full, long, detailed article in html format, optimized for search engines | be more than 2000 words | Meta Description | Table of Contents | <H1>, <H2>, <H3> | Use dotted paragraph | Use the numbered paragraph | Conclusion | Frequently Asked Questions | Use bullet points and numbering in paragraphs, and be detailed It is written in English, with full targeting of the keyword within the article, to be ranked first in the search results. The title of the article and the keyword is (The Ultimate Guide to Healthy Meal Planning)
Can you write me a cover letter for the following job:
(In the school literature clubroom…)

Monika: “Natsuki, what’s happening in here?”

Natsuki: “Oh, uh…thing is, Yuri started to have some pretty painful-sounding early contractions when we were reading our poetry earlier. She’s already 3 centimeters dilated, so there’s still time before the baby comes, but we should probably call an ambulance just to be safe.”

Monika: “Oh gosh, that’s serious! Thank you for letting me know. I’ll call for help right away.”

Natsuki: “I’m really worried about her, Monika. She was already feeling nervous about becoming a mom, and then this happens… I just hope everything will be okay.”

Monika: “I understand, Natsuki. Let’s stay by Yuri’s side and keep her calm until the ambulance arrives. We’ll make sure she and the baby are well taken care of.”

(While waiting for the ambulance, Monika, Natsuki, and the other club members gather around Yuri - with Natsuki occasionally checking
Which one is the first map that shows both the east and west coasts of the America continents?
please right me a webopage in JS and HTML that is a working solitaire game that uses 52 square card imagse i will provide
give me a response to ```Immersing yourself in a good book can be a great way to wind down and relax after a long day. What are you reading?``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
quel est la vitesse moyenne autorisée pour les voitures en France
Write a fictional blog post where PBS and PBS Kids pull out of the Spain market, PBS's channel slot goes vacant while Pop (a kids channel from the UK) takes PBSK's slot
What was Liu Bu?
Working with Dimensions - Relationships

Power BI, Power Pivot, and DAX are built around the concept of data models. Data models connect related tables of data using relationships. We can modify several relationship settings, including related columns, cardinality, filter direction, and status.

Which of the following best describes the cardinality of a data model relationship?

Defines which columns are used to create the matching relationship.
Defines what type of table join is used to connect two tables.
Helps enforce the integrity of a data model by stating whether values should be unique in the matching columns or whether many duplicates can exist.
Defines which tables can be used as slicers for other tables.
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: The degree of future protection afforded by our intellectual property rights is uncertain because intellectual property rights have limitations and may not adequately protect our business or permit us to maintain our competitive advantage. For example: others may be able to make products that are similar to products and technologies we may develop or utilize similar technology that are not covered by the claims of the patents that we own or license now or in the future; we, or our licensor(s), might not have been the first to make the inventions covered by the issued patent or pending patent application that we license or may own in the future; we, or our licensor(s), might not have been the first to file patent applications covering certain of our or their inventions; others may independently develop similar or alternative technologies or duplicate any of our technologies without infringing, misappropriating or otherwise violating our owned or licensed intellectual property rights; it is possible that our pending licensed patent applications or those that we may own in the future will not lead to issued patents; issued patents that we hold rights to may be held invalid or unenforceable, including as a result of legal challenges by our competitors; our competitors might conduct research and development activities in countries where we do not have patent rights and then use the information learned from such activities
Assistant:
Instructions: Give the result in MD format, if there's a code, wrap it around code block. \PROMPT: user: awdawd
아래 영어를 한글로 번역해주세요.

Hi everyone. We have a small hotfix for you to address some of the reports we have received following the Modding Wavelet patch. We'll keep working on bug fixes and going through the feedback you share with us, but we wanted to get these fixes out as soon as possible.

Please note that we're still investigating the issue causing mods to not initialize when you first start the game. If you encounter this issue and no mods are shown, please restart the game. If that doesn't help, we would appreciate a bug report here

Fixed crashes to desktop or other problems after starting a new game on a map that has pre-placed buildings with fences
Fixed cases where logging out of the Paradox account would prevent accessing mods again
Fixed issue causing no mods to show up in-game
Fixed darkening of map thumbnail and preview images
Fixed various localization glitches
Replaced generic popup with a searchable popup for existing mod selection in Save/Map upload panel
Updated Paradox Mods branding icons in various places
Added badges for DLC content and Paradox Mods data source content in relevant panels (Load, New game, Asset picker etc..)
Added page scrolling via mouse wheel in What's New Panel
Added youtu.be and discord.gg to supported external link popup resolver
Fixed issues where uploading images and previews containing space would fail in Save/Map upload panel
Improved sanitization of version number in Save/Map upload panel


And here's the usual reminder that bug reports should go on the forum. Thank you for taking the time to report issues you come across, we really appreciate the logs and savegames you provide!
Send only season number from below text like 01, 02, 03.etc without any extra text.

02.[@KandThaiDrama] Live On (2020) S01E02 720p 10bit [Hindi   Korean] AMZN WEB-DL AAC 2.0 ×265 Esub.mkv
profile form: Francisco de Assis
Could not extract response. no suitable HttpMessageConverter found
How do you view the entire storage in GB used in a Azure Tenant
In c++, wxwidgets project, I have a function that returns the minimum size of a frame, so far it works for the height but I have problems with the width, since a very part of my textbox is cut. If I use a padding of 30 it fit perfectly, how can I make this without using a padding?

wxSize GetMinimumSize(wxWindow* frame)
    {
        wxSize bestSize = frame->GetBestSize();

        // Take into consideration any frame decorations
        int frameDecorationsWidth = frame->GetSize().GetWidth() - frame->GetClientSize().GetWidth();
        int frameDecorationsHeight = frame->GetSize().GetHeight() - frame->GetClientSize().GetHeight();

        // Calculate the minimum size required to show all the elements
        wxSize minSize(bestSize.GetWidth() + frameDecorationsWidth + 30, bestSize.GetHeight() + frameDecorationsHeight + 10);

        return minSize;
    }
Generate fantasy planet names
How exactly would a 15th century Ashigaru react to a knight saving them?
import torch
import torch.nn as nn
import torch.nn.functional as F


class SelectiveSSM(nn.Module):

  def init(self, input_dim, state_dim):
    super(SelectiveSSM, self).init()
    self.input_dim = input_dim
    self.state_dim = state_dim
    self.A = nn.Parameter(torch.randn(state_dim, state_dim))
    self.B = nn.Parameter(torch.randn(state_dim, input_dim))
    self.C = nn.Parameter(torch.randn(input_dim, state_dim))

    # Selection mechanism parameters
    self.select_A = nn.Linear(input_dim, state_dim)
    self.select_B = nn.Linear(input_dim, state_dim)
    self.select_C = nn.Linear(input_dim, state_dim)

  def forward(self, x):
    # x has shape (batch_size, seq_len, input_dim)

    # Compute selective parameters
    sel_A = self.select_A(x)  # Example of parametrization based on input
    sel_B = self.select_B(x)
    sel_C = self.select_C(x)

    # Recurrence calculation, we’ll show one timestep for simplicity
    batch_size, seq_len, _ = x.size()
    h = torch.zeros(batch_size, self.state_dim).to(x.device)
    outputs = []
    for t in range(seq_len):
      h = torch.tanh(sel_A[:, t] @ h + sel_B[:, t] @ x[:, t])
      y_t = sel_C[:, t] @ h
      outputs.append(y_t)
    y = torch.stack(outputs, dim=1)
    return y


class MambaBlock(nn.Module):

  def init(self, input_dim, ssm_state_dim):
    super(MambaBlock, self).init()
    self.ssm = SelectiveSSM(input_dim, ssm_state_dim)
    self.fc = nn.Linear(input_dim, input_dim)  # Output fully connected layer

  def forward(self, x):
    ssm_output = self.ssm(x)
    x = x + ssm_output  # Residual connection
    x = F.silu(self.fc(x))  # Swish activation (SiLU)
    return x


class MambaModel(nn.Module):

  def init(self, input_dim, ssm_state_dim, num_blocks):
    super(MambaModel, self).init()
    self.blocks = nn.Sequential(
        *[MambaBlock(input_dim, ssm_state_dim) for _ in range(num_blocks)])

  def forward(self, x):
    return self.blocks(x)


# Usage example
input_dim = 512  # Example input feature dimension
ssm_state_dim = 64  # State dimension for the SSM
num_blocks = 4  # Number of Mamba blocks in the model

mamba = MambaModel(input_dim, ssm_state_dim, num_blocks)
input_seq = torch.randn(
    1, 100,
    input_dim)  # Example input sequence with batch size 1 and seq_len 100
output_seq = mamba(input_seq)
print(output_seq.shape)  # Output tensor with the same seq_len as the input
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