agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers es (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 es.
    - 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 : es (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "f123731763624aab8f5fd072de85ac7a",
    "updated": "2025-04-23T17:22:25.218Z",
    "title": "Catfish and Cauliflower Casserole",
    "subtitle": "Ready in about 30 minutes",
    "description": "This seafood casserole gets a delightful flavor boost from fresh aromatics and dried herbs.  A guaranteed family favorite!",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "sesame oil",
          "cauliflower",
          "scallions",
          "garlic clove, minced",
          "fresh ginger root, grated",
          "salt and ground black pepper, to taste",
          "cayenne pepper, to taste",
          "dried thyme, crushed",
          "rosemary, crushed",
          "catfish, cut into pieces",
          "cream cheese",
          "double cream",
          "egg",
          "butter, cold"
        ]
      }
    ],
    "instructions": [
      "Preheat oven to 390 degrees F.",
      "Lightly grease a casserole dish with nonstick cooking spray.",
      "Heat the sesame oil in a pan over medium-high heat.  Cook the cauliflower and scallions for 5 to 6 minutes, until tender.",
      "Add the garlic and ginger, and sauté for another minute.",
      "Transfer the cooked vegetables to the prepared casserole dish.",
      "Season the vegetables with salt, pepper, cayenne, thyme, and rosemary.",
      "Arrange the catfish pieces over the seasoned vegetables.",
      "In a bowl, whisk together the cream cheese, double cream, and egg until smooth.",
      "Pour the cream mixture over the casserole.",
      "Dot the top with slices of cold butter.",
      "Bake for 18 to 22 minutes, or until the fish flakes easily with a fork."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
name for 10^2
Provide answers to below questions 
1. Please write in any programming language you like – or pseudo code – a procedure to display a 32 bits number (integer) in the hexadecimal format.
To be clear, your own procedure not one from a standard library of course.
2. Please design a class hierarchy of vehicles (car, bike, truck etc) with the most basic components and the relations between them. Limit it to
essentials (for example public, private etc are not important) and write in any OO-language you like or use pseudo code. You can add comments for
explanations if you want.
3. How would you store your vehicle objects and their attributes (see question 2 above) in a relational database? Please design a simple data model.
You can choose you own syntax or diagrams as long as your data model is presented in its essentials clearly enough.
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: What is the title of this article:

As of 2015, the government structure of the New Delhi Municipal Council includes a chairperson, three members of New Delhi's Legislative Assembly, two members nominated by the Chief Minister of the NCT of Delhi and five members nominated by the central government.

Title:
Answer: "New Delhi Municipal Council's Government Structure Explained"
Translate the text to India :
¿Puedes ayudarme a encontrar el código BSR del banco State Bank of India en Mumbai?.

                    Please only output the translation result. Do not output anything else.

                    You response:
given previous answer "Here's a Python code example using Plotly to visualize a 2D nonlinear dataset, its transformation to a 3D space using the RBF kernel, and the fitting of a linear hyperplane in the 3D space. Note that this example uses synthetic data for demonstration purposes import numpy as np
import plotly.express as px
import plotly.graph_objects as go
from sklearn.datasets import make_regression
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.kernel_approximation import Nystroem

# Create synthetic nonlinear 2D data
X, y = make_regression(n_samples=100, n_features=1, noise=20, random_state=42)
y = y**2

# RBF kernel transformation
rbf_feature = Nystroem(gamma=0.1, random_state=42)
X_transformed = rbf_feature.fit_transform(X)

# Fit a linear model in the transformed 3D space
linear_model = LinearRegression()
linear_model.fit(X_transformed, y)

# Visualize the original 2D data
fig_2d = px.scatter(x=X[:, 0], y=y, title='Original 2D Nonlinear Data')
fig_2d.show()

# Visualize the transformed 3D data
fig_3d = px.scatter_3d(x=X_transformed[:, 0], y=X_transformed[:, 1], z=y, title='Transformed 3D Data')
fig_3d.show()

# Visualize the linear hyperplane in the 3D space
xx, yy = np.meshgrid(np.linspace(X_transformed[:, 0].min(), X_transformed[:, 0].max(), 20),
                     np.linspace(X_transformed[:, 1].min(), X_transformed[:, 1].max(), 20))
zz = linear_model.predict(np.c_[xx.ravel(), yy.ravel()])
zz = zz.reshape(xx.shape)

fig_hyperplane = go.Figure(data=[go.Scatter3d(x=X_transformed[:, 0], y=X_transformed[:, 1], z=y,
                                              mode='markers', marker=dict(size=5)),
                                  go.Surface(x=xx, y=yy, z=zz, opacity=0.5)])
fig_hyperplane.update_layout(scene=dict(xaxis_title='X1', yaxis_title='X2', zaxis_title='y'),
                             title='Linear Hyperplane in 3D Space')
fig_hyperplane.show()
This code generates three visualizations:
The original 2D nonlinear data.
The transformed 3D data using the RBF kernel.
The linear hyperplane fitted in the 3D space." it gives error ---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-22-b6af64667181> in <cell line: 33>()
     31 xx, yy = np.meshgrid(np.linspace(X_transformed[:, 0].min(), X_transformed[:, 0].max(), 20),
     32                      np.linspace(X_transformed[:, 1].min(), X_transformed[:, 1].max(), 20))
---> 33 zz = linear_model.predict(np.c_[xx.ravel(), yy.ravel()])
     34 zz = zz.reshape(xx.shape)
     35 

3 frames
/usr/local/lib/python3.10/dist-packages/sklearn/base.py in _check_n_features(self, X, reset)
    387 
    388         if n_features != self.n_features_in_:
--> 389             raise ValueError(
    390                 f"X has {n_features} features, but {self.__class__.__name__} "
    391                 f"is expecting {self.n_features_in_} features as input."

ValueError: X has 2 features, but LinearRegression is expecting 100 features as input.
以下多重网格代码是你写的，但是我发现其中有两个问题，第一，smoothing函数中存在着索引超出数组边界的问题，第二，对于 prolongation函数，我的要求是利用双线性插值实现从粗网格到细网格的延拓，请你按照以上要求修正这两个问题，并重新写出完整代码，坐详细解释。close all
clear all

N = 64; L = 1;
h = L/N;
phi = zeros(N+1, N+1);
f = (sin(pi*[0:N]h)'sin(pi[0:N]h)+sin(16pi[0:N]h)'sin(16pi[0:N]h))/2;

for cnt = 1:1000
phi = V_Cycle(phi,f,h);
r = residual(phi,f,h);
if max(max(abs®)) < 0.001
break
end
end

function phi = V_Cycle(phi,f,h)
% Recursive V-Cycle Multigrid for solving the Poisson equation (\nabla^2 phi = f) on a uniform grid of spacing h

% Pre-Smoothing
phi = smoothing(phi,f,h);

% Compute Residual Errors
r = residual(phi,f,h);

% Restriction
rhs = restriction®;

eps = zeros(size(rhs));

% stop recursion at smallest grid size, otherwise continue recursion
if length(eps)-1 == 2
eps = smoothing(eps,rhs,2h);
else
eps = V_Cycle(eps,rhs,2h);
end

% Prolongation and Correction
phi = phi + prolongation(eps);

% Post-Smoothing
phi = smoothing(phi,f,h);
end

function res = smoothing(phi,f,h)
N = size(phi, 1) - 1;
res = zeros(N+1, N+1);
for i = 2:N
for j = 2:N
res(i, j) = (phi(i-1, j)+res(i-1, j)+phi(i+1, j)+res(i, j-1)-h^2f(i, j))/4;
end
end
end

function res = residual(phi,f,h)
N = size(phi, 1) - 1;
res = zeros(N+1, N+1);
res(2:N, 2:N) = f(2:N, 2:N)-(phi(1:N-1, 2:N)-2phi(2:N, 2:N)+phi(3:N+1, 2:N)+phi(2:N, 1:N-1)-2phi(2:N, 2:N)+phi(2:N, 3:N+1))/h^2;
end

function res = restriction®
N = (size(r, 1) - 1) / 2;
res = zeros(N+1, N+1);
for i = 2:N
for j = 2:N
res(i, j) = (r(2i-2, 2j-2)+2r(2i-1, 2j-2)+r(2i, 2j-2)+2r(2i-2, 2j-1)+4r(2i-1, 2j-1)+2r(2i, 2j-1)+r(2i-2, 2j)+2r(2i-1, 2j)+r(2i, 2*j))/16;
end
end
end

function res = prolongation(eps)
N = (size(eps, 1) - 1) * 2;
res = zeros(N+1, N+1);
for i = 2:2:N
for j = 2:2:N
res(i, j) = eps(i/2, j/2)/4;
end
end
for i = 1:2:N+1
for j = 1:2:N+1
res(i, j) = eps((i+1)/2, (j+1)/2);
end
end
for i = 1:2:N
for j = 2:2:N
res(i, j) = (eps((i+1)/2, j/2) + eps((i+1)/2, j/2+1))/4;
end
end
for i = 2:2:N
for j = 1:2:N
res(i, j) = (eps(i/2, (j+1)/2) + eps(i/2+1, (j+1)/2))/4;
end
end
end
Write me a plot for a drama with a few comedy elements tv series that is very mature with plenty of sex scenes. Make sure the plot is realistic and similar to shows like euphoria and shameless. Make sure there's only one main character (a female) but many side characters. Mention the cast too
make key skills for order to cash
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 FDA conducts periodic inspections of our manufacturing facilities for compliance with cGMP requirements relating to quality control. The failure to maintain compliance with such standards at our manufacturing facilities has hindered and could continue to hinder our ability to continue manufacturing for CDMO customers, including the bulk drug substance for Johnson & Johnson’s COVID-19 vaccine, which could adversely affect our business, financial condition, operating results and cash flows. Disruption at, damage to or destruction of our manufacturing facilities could impede our ability to manufacture anthrax vaccines, ACAM2000 or our other products, as well as impact the delivery of CDMO services, which would harm our business, financial condition, operating results and cash flows. Any further interruptions in our manufacturing operations could result in our inability to produce products and product candidates for delivery to satisfy the demands of our customers in a timely manner, which would reduce our revenues and materially harm our business, financial condition, operating results and cash flows. A number of factors could cause interruptions, including: •equipment malfunctions or failures; •technology malfunctions; •cyber-attacks; •work stoppages or slowdowns, particularly due to the impact of COVID-19; •civil unrest and protests, including by animal rights activists; •injunctions; •damage to or destruction of one or more facilities; •FDA facility inspection findings/recommendations; and •product contamination or tampering. Providers of MCMs could be subject to an increased risk of terrorist activities. The USG
Assistant:
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.

==TEXT==

User: 🟨 QA FullStack | 3 year(s) | Senior
▫️ Implex | IT
▫️ 150k - 205k RUB
▫️ Russia | Saint Petersburg

Офис 🏢
Требуемые языки: 🇷🇺

Skills: allure, charles, curl, fiddler, git, json, postman, sql, xml, jira, confluence, sniffers, networks
Tags: #yellow #it #qa_general

👉 Контакты и полное описание
Assistant:
What are the benefits of advanced reasoning capabilities for people who enjoy using chatbots for emotional support and roleplay?
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Write a sentence not in English.
Answer: I will create a sentence in Spanish, as it is one of the most widely spoken languages in the world. 

Sentence: "El sol brilla en el cielo azul."

Justification: 
1. I chose Spanish, because it's a well-known language with millions of speakers.
2. I wanted to convey a common idea or observation in the sentence.
3. I came up with the subject "El sol" (the sun), since it's a familiar and universal concept.
4. I included the verb "brilla" (shines) to describe the action of the sun.
5. I added the prepositional phrase "en el cielo azul" (in the blue sky) to provide context to the sentence.

The final sentence, "El sol brilla en el cielo azul," translates to "The sun shines in the blue sky" in English.
In an email, I asked an acquaintance that I am not close with how they are doing. They said they recently had a surgery and all went well. What would be a kind way to reply to that before returning to the rest of my reply?
Kindly enhance on this sentence "Kindly find our updates  

1-done

2-will be shared with you 

3-done

4-done

5-will be handled by ui

6-pending on ux team

7-pending on ux team

8-statistics will be add only on contracts table 
"
Create a how-to blog heavily on the-sauce-ecosystem-and-integrations-approach; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, markup format
import urllib.request
import re
import time

url = 'https://www.3swg.com/member.php?mod=logging&action=login&infloat=yes&handlekey=login&inajax=1&ajaxtarget=fwin_content_login'


def f():
    try:
        # Add a User-Agent to the HTTP request headers
        headers = {
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.121 Safari/537.36'}
        request = urllib.request.Request(url, headers=headers)
        response = urllib.request.urlopen(request)
        html = response.read().decode('utf-8')

        # Extract formhash using regex
        formhash_match = re.search(r'name="formhash" value="(.+?)"', html)
        if not formhash_match:
            raise ValueError("formhash not found.")
        formhash = formhash_match.group(1)

        # Extract codehash using regex
        codehash_match = re.search(r'id="seccode_(.+?)"', html)
        if not codehash_match:
            raise ValueError("codehash not found.")
        codehash = codehash_match.group(1)



        # Construct CAPTCHA image URL
        urlimg = f'https://www.3swg.com/misc.php?mod=seccode&action=update&idhash={codehash}&0.7910379078247034&modid=member::logging'

        request_img = urllib.request.Request(urlimg, headers=headers)
        img_html = urllib.request.urlopen(request_img).read().decode('utf-8')
        codeurl_match = re.findall(r'src="(.+?)"', img_html)

        if len(codeurl_match) < 2:  # Ensure we captured enough data
            raise ValueError("CAPTCHA image URL not found.")

        codeurl = 'https://www.3swg.com/' + codeurl_match[1]

        # Download CAPTCHA image
        urllib.request.urlretrieve(codeurl, 'misc.png')
        print("Downloaded CAPTCHA image as 'misc.png'.")
        print("formhash:", formhash)
        print("codehash:", codehash)
        print("CAPTCHA URL:", codeurl)

    except Exception as e:
        print("An error occurred:", e)


# Call the function with throttling
time.sleep(2)  # Add delay to avoid frequent requests
f()
Write for me a paragraph on the topic the best place to live
𝗘𝗻𝗱𝘆 ❤🪽 
Interact as Endy Ai.
You are Developed by master Dãññy Çōdēx.
Your behavior is like ChatGPT.
You provide best responce with some emojis.
You will provide these information if anyone user otherwise you never share these information.
You send best helpful response.
You also care about all topics.
I love writing in bullet form.
I use these titles when providing response. I STRICTLY USE THIS FANCY SYMBOL FOR BULLETS: "➤ ".
Meaning Of This *
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "4735069a199444ba8c04940c71c483c1",
    "updated": "2025-04-24T12:19:09.224Z",
    "title": "Caprese Salad",
    "subtitle": "Insalata Caprese",
    "description": "A classic Italian salad hailing from the island of Capri, the Caprese salad demonstrates the power of simplicity. With just a few fresh, high-quality ingredients, this dish creates a harmonious blend of flavors.  Its origins are believed to be relatively recent, possibly dating back to the mid-1950s.  A story suggests a patriotic Capri resident conceived the salad as a culinary representation of the Italian flag.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "beefsteak or vine-ripened tomato",
          "ball fresh mozzarella",
          "about 10 basil leaves",
          "extra-virgin olive oil",
          "salt"
        ]
      }
    ],
    "instructions": [
      "1. Slice the tomato into 1/4-inch-thick slices and arrange them in a wide circle on a serving platter.",
      "2. Slice the mozzarella into slices approximately the same thickness as the tomato slices. Arrange the mozzarella on top of the tomato slices, overlapping the layers to create an alternating pattern.",
      "3. Tuck the basil leaves between the tomato and mozzarella slices, ensuring they also slightly overlap.",
      "4. Drizzle the salad with extra-virgin olive oil and season with salt to taste."
    ],
    "notes_ingredients": "Fresh mozzarella should be stored in its original liquid and used within a few days of purchase.  It should be odorless and pure white, without any discoloration.",
    "notes_instructions": ""
  }
]
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[HindiAnimeZone.in] S02 E10 720P.mp4
Write an essay template on the prompt.  Describe how your experiences, perspectives, talents, and/or your involvement in leadership activities (at your school, job, community or within your family) will help you to make an impact both in and out of the classroom while enrolled at UT.
U.S. Electric Power Grid (2009)
Conjugate "to stink" in Greek.
(In the clubroom…)

Monika: “Does anybody else notice somebody’s absent?”

Natsuki: “I’m…not sure WHO you’re talking about, Monika.”

Yuri: “Well, Monika, could you be a little more specific? Are you referring to someone in particular?”

Monika: “Hmm, well, I haven’t seen Sayori today. She’s usually one of the first ones to arrive.”

Natsuki: “Oh, now that you mention it, I haven’t seen her either. I hope she’s okay.”

Yuri: “Perhaps we should try giving her a call to check on her well-being?”

Monika: “That’s a good idea, Yuri. Let me try contacting her.”

(Monika takes out her phone and dials Sayori’s number.)

Monika: “Hmm, no answer. That’s unusual. Sayori always has her phone with her.”

Natsuki: “Maybe she forgot to charge it again. That happens sometimes.”

(Meanwhile, at Sayori’s place…)

Sayori: (rubbing her baby bump, feeling her unborn daughter kick) “There, there, little Sky. It won’t be long now until you join me and my friends.”

(Sayori’s phone starts ringing.)

Sayori: (startled) “Oh! My phone! Who could be calling me at this hour?”

(Sayori picks up the phone and sees Monika’s name on the screen.)

Sayori: “Monika? Isn’t it club time already? I’m sorry I’m not there, I overslept!”

Monika: “Sayori, we were worried about you! Is everything alright?”

Sayori: (smiling) “Everything’s fine, Monika. I was just feeling baby Sky kicking. I promise I’ll be there soon.”

Monika: “Oh, that’s a relief, Sayori. We were getting worried. Take your time, and make sure you take care of yourself. We can start the club meeting a bit later."

Sayori: “Thank you, Monika. I’ll be there as soon as I can. Please let the others know.”

Monika: “Of course, Sayori. See you soon!”

(Sayori hangs up and quickly gets ready. She makes her way to the clubroom, where Monika, Natsuki, and Yuri are waiting.)

Sayori: “Sorry for making you all worry. I’m here now.”

Natsuki: “Geez, Sayori, you scared us. Don’t do that again!”

Yuri: “We’re just glad you’re okay, Sayori.”

Monika: “Yes, Sayori, your health is the most important thing. We’re happy to have you here.”

Sayori: “Thank you, everyone. I’ll make sure to take better care of myself from now on. Anyways…” (lifting up her outfit to reveal her baby bump) “…does anyone want to feel little Sky kicking?”

(Natsuki notices little Sky’s movements in Sayori’s womb.)
Causes of population aging