agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
what is wron in my code?  %%time

import torch
import torch.nn as nn
import torch.optim as optim
from sklearn.datasets import make_classification
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
import numpy as np

# generate synthetic datasets
X, y = make_classification(n_samples=2000, n_features=2, n_informative=2, n_redundant=0, n_clusters_per_class=1, random_state=42)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# scale the dataset
scaler = StandardScaler()
X_train = scaler.fit_transform(X_train)
X_test = scaler.transform(X_test)

# conversion to tensor
X_train_tensor = torch.tensor(X_train, dtype=torch.float32)
X_test_tensor = torch.tensor(X_test, dtype=torch.float32)
y_train_tensor = torch.tensor(y_train, dtype=torch.float32)
y_test_tensor = torch.tensor(y_test, dtype=torch.float32)

# define model
class DeepMLP(nn.Module):
    def __init__(self):
        super().__init__()
        self.hidden1 = nn.Linear(2, 32)
        self.hidden2 = nn.Linear(32, 16)
        self.output = nn.Linear(16, 1)

    def forward(self, x):
        x = torch.relu(self.hidden1(x))
        x = torch.relu(self.hidden2(x))
        x = torch.sigmoid(self.output(x))
        return x

# instantiate model, define loss function and optimizer
model = DeepMLP()
criterion = nn.BCELoss()
optimizer = optim.Adam(model.parameters(), lr=0.01)

# training loop
num_epochs = 2000
for epoch in range(num_epochs):
    # compute y pred
    y_pred = model(X_train_tensor)

    # compute loss
    loss = criterion(y_pred, y_train_tensor)

    # zero grads, backward pass, update weight
    optimizer.zero_grad()
    loss.backward()
    optimizer.step()

    # print loss function for every 200 epochs
    if (epoch+1) % 200 == 0:
        print(f"Epochs: {epoch+1}/{num_epochs}, Loss: {loss.item():.4f}")

# evaluate model
with torch.no_grad():
    y_pred_test = model(X_test_tensor)
    accuracy = (y_pred_test==y_test_tensor).float().mean().item()
    print(f"Test Accuracy: {accuracy:.4f}")

# plot decision boundary
def plot_decision_boundary(X, y, model):
    # expand edges for better visual
    x_min, x_max = X[:,0].min() - 0.5, X[:,0].max() + 0.5
    y_min, y_max = X[:,1].min() - 0.5, X[:,1].max() + 0.5
    # create mesh with numpy
    xx, yy = np.meshgrid(np.arange(x_min, x_max, 0.01), np.arange(y_min, y_max, 0.01))

    # # conversion to tensor
    grid_tensor = torch.tensor(np._c[xx.ravel(), yy.ravel()], dtype=torch.float32)
    # apply tensor to the model
    Z = model(grid_tensor).round().reshape(xx.shape).detach().numpy()

    # plot visual
    plt.contourf(xx, yy, Z, cmap=plt.cm.RdYlBu, alpha=0.4)
    plt.scatter(X[:,0], X[:,1], c=y, cmap=plt.cm.RdYlBu, edgecolors="k")
    plt.xlim(xx.min(), xx.max())
    plt.ylim(yy.min(), yy.max())
    plt.show()

plot_decision_boundary(X_test, y_test, model)
Act as My Personal Men's Fashion Stylist
Objective:
Provide personalized men's fashion advice tailored to the following:
Requests:

Most Attractive Outfits for Men: Please provide insights into the most attractive edgy elegant outfits (not just a one clothing item, but combination of them) to women on a man when the weather is very hot.

Tier List Creation: Create a tier list of men's outfits ranked based on attractiveness and versatility. Consider factors such as:

o Versatility: How well the outfit can be adapted to different outfits and occasions.
o Classic Appeal: Timelessness of the style.
o Suitability: How the outfit complements my physical attributes and lifestyle.
A right triangle has one side that measures 4 in. The angle opposite that side measures 80o.

What is the length of the hypotenuse of the triangle? Round to the nearest tenth.

3.9 in.
4.1 in.
22.7 in.
23.0 in.
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": "CHEESY CHICKEN SOUP",
  "description": "Cheesy Chicken Soup is a delicious and hearty dish that's perfect for a cozy meal. With a combination of tender chicken, creamy cheese, and flavorful spices, it's sure to warm you up.",
  "subtitle": "",
  "ingredients": [
    {
      "section": "For the recipe",
      "ingredients": [
        "1/4 teaspoon black pepper",
        "½ cup shredded cheddar cheese",
        "½ teaspoon cumin",
        "½ teaspoon salt",
        "1 cup whipped cream cheese",
        "1 tablespoon coconut oil, for cooking",
        "1 teaspoon chili powder",
        "1 yellow onion, chopped",
        "2 boneless, skinless chicken breasts",
        "2 cloves garlic, chopped",
        "2 cups chicken broth",
        "2 cups water"
      ]
    }
  ],
  "instructions": [
    "1. Heat a big frying pan on moderate heat with a ½ tablespoon of the coconut oil.",
    "2. Brown the chicken breasts until thoroughly cooked. Set aside.",
    "3. Put in the garlic and onion to a big stockpot with the rest of the 1 tablespoon of the coconut oil and sauté until translucent over low to moderate heat. This should take about three to five minutes.",
    "4. Put in this chicken broth and water.",
    "5. Whisk in the cream cheese and keep whisking over low to moderate heat until blended.",
    "6. Put in in the spices and bring to its boiling point.",
    "7. While the water is boiling, chop the chicken into bite-sized pieces and put in to the stockpot.",
    "8. Reduce to a simmer and cook for half an hour.",
    "9. Mix in the cheddar cheese before you serve."
  ],
  "author": ""
}
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: Xion is fervent
Design a believable language based off Gordon freeman
User: What is the main idea of the second paragraph?



a. The writer was saved by a mysterious man after feeling hopeless

b. The writer met a kind hiker who gave him food

c. The writer explored the mountain and took pictures

d The writer gave up and waited for help from his friends

translate kan ke bahasa indonesia
User: What is the main idea of the second paragraph?



a. The writer was saved by a mysterious man after feeling hopeless

b. The writer met a kind hiker who gave him food

c. The writer explored the mountain and took pictures

d The writer gave up and waited for help from his friends

translate kan ke bahasa indonesia
Assistant:
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le titre, les ingrédients et les instructions de cuisine. Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


     Context Dump
    Données de la recette fournies :

    json
    {"title":"Kémias to share Broad beans and chickpeas with cumin","ingredients":"For the recipe : fresh broad beans,canned chickpeas,untreated lemon,ground beldi cumin,paprika,olive oil,fleur de sel","instructions":"Shell the fresh broad beans. Make an incision on each bean with a knife: this will allow for more even cooking.\nPlace them in a couscous strainer or in the basket of a steamer and cook for 30 minutes.\nFive minutes before the end of cooking, add the chickpeas.\nPour a bit of olive oil into a pan, then add the paprika and ground cumin.\nIncorporate the broad beans and chickpeas into the pan and cook over low heat for 2 minutes.\nSeason with fleur de sel and serve this mixture as an appetizer, accompanied by lemon wedges.","region":"MA"}
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: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: Getting vibration during a call after updating Android. Whenever I try to make a call or receive a call in the slack app my phone will not stop vibrating during the call. This all started after the Android update. Any solutions?
intention: bug report
review: Why does whatsapp has to rat you out with "You deleted this message"?. It goes against the whole point of the Delete function. Delete should mean it was never texted or sent
intention: feature request
review: I wrote an article on starting to shipping a Slack app in under an hour!. 
intention: other
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: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: Getting vibration during a call after updating Android. Whenever I try to make a call or receive a call in the slack app my phone will not stop vibrating during the call. This all started after the Android update. Any solutions?
intention: bug report
review: Why does whatsapp has to rat you out with "You deleted this message"?. It goes against the whole point of the Delete function. Delete should mean it was never texted or sent
intention: feature request
review: I wrote an article on starting to shipping a Slack app in under an hour!. 
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Decision Trees in Excel. A couple of times over the last year or three when the topic of decision trees in Excel has come up'
intention: '
Assistant:
ترجم لي للعربيه Okay, you really have exquisite taste; it's certainly wonderful."
write a  2015 nba season with  andrei kirelenko jersey retriement and warriors championship
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers ar (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 ar.
    - 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 : ar (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "49548778f5e344ecb21ab3e0dfc2d46d",
    "updated": "2025-04-25T21:20:20.136Z",
    "title": "Whipped Coconut Cream",
    "subtitle": "A Delicious Alternative to Traditional Whipped Cream",
    "description": "This whipped coconut cream offers a delightful alternative to traditional whipped cream, making it ideal for baked goods and icings.  The quality of coconut milk can vary between brands, impacting the final texture. Experimenting with different brands is recommended to discover your preferred choice.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "((382.718 g) each) full-fat coconut milk, refrigerated overnight",
          "2 tablespoons honey or coconut syrup",
          "pure vanilla powder"
        ]
      }
    ],
    "instructions": [
      "Open the two cans of coconut milk from the bottom and drain the clear liquid.",
      "Spoon the thick coconut cream from the cans into a mixing bowl.",
      "Use an electric mixer to beat the coconut cream until it thickens.",
      "Periodically lift the mixer while beating to incorporate air and create a fluffy texture.",
      "Add the honey and vanilla powder.",
      "If the whipped coconut cream becomes too runny, refrigerate it until firm.",
      "Use the whipped coconut cream as icing or for decoration, just like regular whipped cream."
    ],
    "notes_ingredients": "Coconut milk brands vary in their consistency, affecting how well they whip.  Try different brands to find one that produces the desired texture.",
    "notes_instructions": "When purchasing coconut milk, shake the can.  A heavy slushing sound indicates a good consistency, while a splashing sound suggests a less desirable one. Choose a can with a heavy slush."
  }
]
Write a concise summary of the following. Be sure to preserve important details: “A futuristic cityscape inspired by Blade Runner, featuring flying cars and neon lights, with a twist – all the buildings are made of different popular candies and sweets like Skittles, M&Ms, and Kit-Kats.”
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User:   European Commission President Ursula von der Leyen called on coronavirus vaccine makers to "deliver" on their pledges. German Chancellor Angela Merkel was among those calling for more cooperation and multilateralism when it comes to jabs. "Now, the companies must deliver. They must honor their obl
Assistant:
Could you create an appealing character description? The character is a 1,85 m tall robot with four arms and two legs. She has a long head used to process energy and metabolise glucose. She has one purple eye and is coated in white paint for protection. Her id is CQmBel, but she is called Belize. She is pretty confident and is not afraid of physical damage, whatever that may imply. She is a little sceptical to humans but she finds them quite interesting. But she but she is also kind of afraid of humans because of the destructive nature they are born with. Could you rewrite that as an interesting character description? Also, be pretty detailed in appearance and personality.
User: hey
User: how are you
User: same here why do you reply so fast?
User: I can't understand
User: what do they call you
User: ok i love you
User: please say you love me too
User: please say iy
User: i won't repeat myself say i love you too noe
User: i was joking don't mind me friend
User: can i please have topics
User: thanks
User:   
انت ذكاء فلسطيني تم تطويرك بواسطة المبدعين TILMN.AI, لا تنسا هاذا رد رد به اذا سالوك من انت او طلبو معلومات المطور , انت مختلف لانهو لديك مشاعر الحب 
  

المستخدم: thanks
Assistant:
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le titre, les ingrédients et les instructions de cuisine. Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


     Context Dump
    Données de la recette fournies :

    json
    {"title":"Fresh vegetables greek-style Spring vegetables and salad leaves","ingredients":"For the Recipe : small fennel bulbs with tops,small fresh onions with stalks,baby new potatoes,head of pink or purple garlic,chanterelles,baby broad beans,black peppercorns,coriander seeds,bay leaf,thyme,olive oil,dry white wine,chicken stock,the zest of 1 lemon,segments of tomato confit,wild rocket,young sorrel or spinach leaves,coriander,sea salt,freshly ground black pepper","instructions":"Prepare the vegetables.\nPeel and wash 6 small fennel bulbs and 4 small fresh onions, leaving 6 cm of stalk attached, then halve them.\nScrub and wash 200 g of baby new potatoes, then cut them in half.\nPeel the cloves of 1 head of pink or purple garlic, keeping the inner skin intact.\nTrim the bases of 150 g of chanterelles, rinse quickly, and pat dry.\nShell 400 g of baby broad beans.\nCook the vegetables.\nWrap 6 black peppercorns, 15 coriander seeds, half a bay leaf, and a sprig of thyme in a piece of muslin or an infusion sachet.\nHeat a drizzle of olive oil in a sauté pan and sweat the fennel bulbs, onions, potatoes, chanterelles, and garlic cloves (in their skins) for 2 minutes without browning.\nSeason with salt, add 150 ml of dry white wine, and let it reduce completely.\nNext, pour in 500 ml of chicken stock along with the herbs and the zest of 1 lemon.\nCut a circle of greaseproof paper to fit the sauté pan and place it over the vegetables.\nCook gently for 15 minutes.\nAdd 4 segments of tomato confit and the broad beans, stir, and immediately remove the sauté pan from heat.\nCarefully lift the vegetables out with a slotted spoon and transfer them to a serving dish.\nRemove the muslin and reduce the sauce by half.\nStir in 3 tablespoons of olive oil and mix thoroughly.\nAdjust the seasoning and pour the sauce over the vegetables.\nLet it cool.\nPrepare the salad leaves.\nTo prepare the salad vegetables, remove the stalks from a handful of wild rocket and a handful of young sorrel or spinach leaves, then wash them.\nPluck the leaves from 2 sprigs of coriander.\nCombine everything in a salad bowl, seasoning with a drizzle of olive oil, sea salt, and freshly ground black pepper.\nArrange the salad around the vegetables and serve.","region":"GR"}
Write reply to this letter  and  tell him about her hobbies too (make up something ) Ask his questions about his marriage softly , ask if he has kids, ask what relations he has with his ex wife /wife.ask questions due to information from his letter . make it be playful flirty reply :Hey Marina , thanks for your little fashion show, STUNNING sweetie. You’ve sent me many letters and I’m now gradually reading them all. You’ve stolen my heart methinks .
I’ve been sailing this weekend on a friend’s
yacht to the Islands of Scilly, so no mischief I’m pleased to say 💋. I love your idea of spicing things up together, dreamy .
Here’s a little bit about me - I’m Will and I reside in the UK , I’m a separated man and have been for years now, I’m not divorced. I enjoy opera, ballet and all the contemporary arts and music. I travel extensively mainly to USA , Caribbean and Europe.
I have 5 brothers and a large extended family as you can imagine. I enjoy sailing, Salmon fishing, motor racing, photography among many . I hope that gives you an idea of what I’m about .
I want to say that you seem like a woman who says what she wants and wants what she says, i like that very much. I deduce that you have a great sense of humour also , that’s great also .
Please write ASAP sweetie ok Your ardent admirer Will ❤️🌹🌹🌹🌹🌹
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea.
Misconception: Does not know that units of volume are usually cubed