agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
import os
import pandas as pd
import nltk
from nltk.stem import WordNetLemmatizer

# Download required NLTK resources
nltk.download('wordnet')

# Get the directory of the current script
script_dir = os.path.dirname(os.path.abspath(__file__))

# Construct the path to the input file relative to the script directory
input_file = os.path.join(script_dir, '..', 'Data', 'FrequencyWithFiles.csv')

# Construct the path to the output directory relative to the script directory
output_dir = os.path.join(script_dir, '..', 'Data')

# Create the output directory if it doesn't exist
os.makedirs(output_dir, exist_ok=True)

# Initialize the WordNet lemmatizer
lemmatizer = WordNetLemmatizer()

# Read the input file
df = pd.read_csv(input_file)

# Lemmatize the words in the first column
lemmatized_words = [lemmatizer.lemmatize(word) for word in df['Word'] if isinstance(word, str)]

# Create a new DataFrame with lemmatized words and frequencies
lemma_freq = pd.DataFrame({'Lemma': lemmatized_words, 'Frequency': df['Frequency']})

# Group the DataFrame by 'Lemma' and sum the 'Frequency'
lemma_freq = lemma_freq.groupby('Lemma')['Frequency'].sum().reset_index()

# Sort the DataFrame by 'Frequency' in descending order
lemma_freq = lemma_freq.sort_values(by='Frequency', ascending=False)

# Save the DataFrame to a CSV file
output_file = os.path.join(output_dir, 'Lemma.csv')
lemma_freq.to_csv(output_file, index=False)

this code is throwing this error correct it 

 File "/home/ryans/Documents/College Files/6th Semester/Natural Language Processing/Project/Git/Analysis-of-Cricket-Commentary/Code/Lemma.py", line 
30, in <module>
    lemma_freq = pd.DataFrame({"Lemma": lemmatized_words, "Frequency": df["Frequency"]})
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ryans/anaconda3/lib/python3.11/site-packages/pandas/core/frame.py", line 733, in __init__
    mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ryans/anaconda3/lib/python3.11/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
    return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ryans/anaconda3/lib/python3.11/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
    index = _extract_index(arrays)
            ^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ryans/anaconda3/lib/python3.11/site-packages/pandas/core/internals/construction.py", line 690, in _extract_index
    raise ValueError(msg)
ValueError: array length 47610 does not match index length 47612
Who is the rocket scientist that had a Bible verse on his tombstone that had palms 191 that mentions a firmament. Why are flat earther wrong for using this as evidence or proof?
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
140 g sugar,80 ml vegetable oil or melted butter,220 ml milk,2 eggs,250 g flour,22 g baking powder (2 sachets)
which would have a higher mass: 1 mole of K atoms or 1 mole of Au atoms?
I have an empty 12 liter jug and an empty 6 liter jug. I need to measure 6 liters of water for a recipe. Tell me how to do it. Use common sense. You may strikeout the most recent segment of generated text by writing STRIKEOUT:"text to strikeout goes here". Example: Is a bird a mammal? Answer: Yes, a bird is a mammal. STRIKEOUT:"Yes, a bird is a mammal." No, a bird is not a mammal.
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:

اللي ثمة ثمة ما حكيتش معاه جملة والصباح ما قمتش معاه جملة باش يعرف اللي أنا تغششت
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: Q: Is this product review positive? Title: Great Album Cover Review: Where is the Reba we know and love. The Reba that was genuine. I am a hardcore Reba fan but her last album was a big disappointment. She use to really put her heart and soul into the song. Now she just comes across fake!! I reminicse about the time when she really felt the song, instead of the glitz and showmanship. Where has the songtress gone? Answer:


 (a). No;
 (b). Yes;
The answer is:
Answer: (a). No

This product review is not positive. The title, "Great Album Cover," might suggest otherwise, but reading the actual review content reveals the dissatisfaction and disappointment of the reviewer regarding Reba's latest album.

From the review, it is evident that the reviewer is a longtime fan of Reba and has high expectations for her work. They express their disappointment by stating that they found the last album to be a "big disappointment" and question where the "genuine" Reba they once knew and loved has gone.

Moreover, the reviewer highlights their concerns regarding the perceived lack of heart and soul in Reba's music, as well as the presentation and showmanship displayed on the album. They seem to be longing for a return to the days when Reba's music evoked more genuine emotions and connected more deeply with the listener.

In summary, the review is negative due to the disappointment expressed by the reviewer and their desire for a return to a more authentic and heartfelt musical style for Reba. Although the album cover might be great visually, the content of the album does not live up to the reviewer's expectations, resulting in a negative review.
Rust 的wgpu 跟winit最乾淨程式碼
whats so stressful about robbing j store in roblox jailbreak ranked crew battles when you know the enemy team knows a noclip glitch to get in.
Create a hypothetical fact cm punk 1 WWE title SummerSlam 2011
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en pt.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "fbe0967103e24add84b8f5e843cc6753",
    "updated": "2025-04-23T19:21:08.719Z",
    "title": "Miso and Sesame Glazed Tofu",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "mirin",
          "miso paste",
          "x 5 ounce (150 g) block of tofu",
          "stalk (40 g) celery, trimmed (about 1/cup when sliced)",
          "red onion, sliced",
          "tiny (120 g) zucchini (about (236.588 ml) when sliced)",
          "thai chili",
          "garlic cloves",
          "nicely chopped fresh ginger",
          "kale, chopped",
          "sesame seeds",
          "buckwheat",
          "ground turmeric",
          "extra virgin olive oil",
          "tamari"
        ]
      }
    ],
    "instructions": [
      "Preheat oven to 400°F (200°C). Line a baking sheet with parchment paper.",
      "Combine mirin and miso paste. Cut the tofu lengthwise, then cut each piece diagonally into triangles. Coat the tofu with the miso mixture and let it marinate while preparing the other ingredients.",
      "Slice the celery, red onion, and zucchini. Finely chop the chili, garlic, and ginger.",
      "Steam the kale for 5 minutes. Remove from steamer and set aside.",
      "Arrange the marinated tofu on the prepared baking sheet, sprinkle with sesame seeds, and roast for 15-20 minutes, or until caramelized.",
      "Rinse the buckwheat in a sieve.  In a saucepan, bring water to a boil and add the buckwheat and turmeric. Cook according to package directions, then drain.",
      "Heat the olive oil in a skillet over high heat. Add the celery, onion, zucchini, chili, garlic, and ginger. Sauté for 1-2 minutes, then reduce heat to medium and cook for another 3-4 minutes, until the vegetables are tender-crisp. Add a tablespoon of water if the vegetables begin to stick. Stir in the tamari and kale, and cook for one more minute.",
      "Serve the roasted tofu with the cooked buckwheat and sautéed greens."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
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: Our success depends in part on our ability to attract, retain, develop and motivate our senior management and key employees. Achieving this objective may be difficult due to a variety of factors, including fluctuations in the global economic and industry conditions, competitors’ hiring practices, cost reduction activities, and the effectiveness of our compensation programs. Competition for qualified personnel can be intense. We must continue to recruit, retain, develop and motivate our senior management and key personnel in order to maintain our businesses and support our projects. A loss of senior management and key personnel could prevent us from capitalizing on business opportunities, and our operating results could be adversely affected. We are also subject to the risk that the ongoing COVID-19 pandemic may impact the health or effectiveness of members of our senior management team or other key employees.
Assistant:
Assistant: Hello! How are you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
تصحيح الأخطاء باستخدام قواعد الإملاء القياسية للغة المكتوبة.
 صحح الأخطاء الإملائية بالعامية في النص، وضع علامات الترقيم المناسبة. (ar).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
السلام عليكم ورحمه الله وبركاته استاذ اشرف تحياتي لك ان شاء الله تكون بخير من فضل حضرتك هل يمكننا تاجيل الحصه اليوم الى الساعه 2:00 بعد الظهر ان شاء الله وناخذ ساعتين حصه الامس وحصه اليوم ان شاء الله
Assistant:
Generate a description with keywords and SEOs for Passionate Embrace | Ultra-Realistic Art of Beautiful Woman with Bouquet | Wall Decor, Mugs, T-Shirts | Floral Elegance | Fashion &amp; Nature Inspired. Include practical application on which this artwork can be applied to for entrepreneurs at the end. Include details on dimensions: 1080x1080 and has 3 image variations. Include buyer has full rights to resale and commercial usage. Don't include HTML or '<br/>' for formatting only newline '
'
write dialogue from a scene from the animated teen series “Jane”, where Jane is relaxing when her girlfriend Sam is ecstatic that she got hired for her job… an toy store
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: Roronoa Zoro is the name of the user you are talking to!
User: yea i usually do now am learning web development more specificaly curently am dealing with react
Assistant: Yaaay, React is super fun! 🎉 It’s like building your own little world on the web! What are you working on with React right now? Is it a personal project, or something for school? I’m so curious! 💻✨ 
User: yo hello
Assistant: Heyyy! 👋 What’s up? How’s your day going? I'm excited to chat! 😊✨
User: hi
Assistant: Hi there! 🌟 How's it going? Anything fun happening today? 😊
User: today i just woke up nothing happened
Assistant:
(In the school literature clubroom...)

Monika: "Hold on, Yuri, why are you attending the club meeting right now? You're 7 months pregnant - you should be on maternity leave!"
Make a fictional and vividly detailed story set in a universe where Germany won WW2. In Greece, a German soldier is chatting with his friend, an Italian soldier, both of them in the buff and taking an outdoor shower (comment on their physiques and butts). Add dialogue between the Italian and the German throughout the story
Send only season number from below text like 01, 02, 03.etc without any extra text.

Bada.Naam.Karenge.S01E01.1080p.SL.WEB-DL.DDP5.1.Atmos.H.265-PrimeFix.mkv
correct this code to answer the question. dotn make too many changes

#include <bits/stdc++.h>
#include <vector>
#include <queue>

using namespace std;

void add_edge(vector<vector<int>> &adj, int u, int v)
{
    adj[u - 1].push_back(v - 1);
    adj[v - 1].push_back(u - 1);
}

void bfs(vector<vector<int>> &adj, int start, vector<int> &vis)
{

    queue<int> myqueue;
    vis[start] = true;
    myqueue.push(start);

    while (!myqueue.empty())
    {
        int curr = myqueue.front();
        myqueue.pop();
        for (int neighbour : adj[curr])
        {
            if (!vis[neighbour])
            {
                vis[neighbour] = true;
                myqueue.push(neighbour);
            }
        }
    }
}

int main()
{
    int n, m;
    cin >> n >> m;
    vector<vector<int>> adj(n);
    vector<int> vis(n, 0);

    for (int i = 0; i < m; i++)
    {
        int u, v;
        cin >> u >> v;
        add_edge(adj, u, v);
    }

    vector<int> arr;
    for (int i = 0; i < n; i++)
    {
        if (!vis[i])
        {
            bfs(adj, i, vis);
            arr.push_back(i);
        }
    }

    // int cnt=arr.size();
    int cnt = arr.size() - 1;
    cout << cnt << "\n";
    for (int i = 0; i < cnt; i++)
    {
        cout << arr[i]+1 << " " << arr[i + 1]+1 << "\n";
    }
    return 0;
}


The offices and (bi-directional) connections (both normal and fiber) are given to you. 
. The 
 normal connection connects any two offices 
 and 
. Normal connections have latency 
. The 
 fiber connection connects the HQ with the office 
. Fiber connections also come with a latency 
. The total latency of a path is the sum of latencies on the connections. You are to output the 
 that can be removed, such that the 
 between the HQ and any other node remains the same as before.

There are 
 offices with 
 normal connections and 
 high-speed fiber connections.
The 
 normal connection connects offices 
 and 
 (bi-directionally) with latency 
.
The 
 fiber connection connects offices 
 and 
 (bi-directionally) with latency 
.
Input Format
The first line of the input file will contain three space-separated integers 
, 
 and 
, the number of offices, the number of normal connections and the number of fiber connections.

There will be 
 lines after this, the 
 line signifying the 
 normal connection, each containing three space-separated integers 
, 
 and 
 the two offices that are connected and the latency of the connection respectively.

There will be 
 lines after this, the 
 line signifying the 
 fiber connection, each containing three space-separated integers 
 and 
, the office connected to the HQ and the latency of the fiber connection respectively.

Output Format
Output only one integer 
 - the maximum number of fiber connections that can be removed without changing the latency of smallest latency path from office 1 to any other office.
Sonic characters in Future of 1,000,000 year style.
do you know where I can find commercially royalty free music for the trailer I'm making of my video game?
optimum cpp code for : All Pairs Segments
time limit per test1.5 seconds
memory limit per test256 megabytes
Shirobon - FOX
⠀
You are given n
 points on the x
 axis, at increasing positive integer coordinates x1<x2<…<xn
.

For each pair (i,j)
 with 1≤i<j≤n
, you draw the segment [xi,xj]
. The segments are closed, i.e., a segment [a,b]
 contains the points a,a+1,…,b
.

You are given q
 queries. In the i
-th query, you are given a positive integer ki
, and you have to determine how many points with integer coordinates are contained in exactly ki
 segments.

Input
Each test contains multiple test cases. The first line contains the number of test cases t
 (1≤t≤104
). The description of the test cases follows.

The first line of each test case contains two integers n
, q
 (2≤n≤105
, 1≤q≤105
) — the number of points and the number of queries.

The second line of each test case contains n
 integers x1,x2,…,xn
 (1≤x1<x2<…<xn≤109
) — the coordinates of the n
 points.

The third line of each test case contains q
 integers k1,k2,…,kq
 (1≤ki≤1018
) — the parameters of the q
 queries.

It is guaranteed that the sum of n
 over all test cases does not exceed 105
, and the sum of q
 over all test cases does not exceed 105
.

Output
For each test case, output a single line with q
 integers: the i
-th integer is the answer to the i
-th query.

Example
InputCopy
3
2 2
101 200
2 1
6 15
1 2 3 5 6 7
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
5 8
254618033 265675151 461318786 557391198 848083778
6 9 15 10 6 9 4 4294967300
OutputCopy
0 100 
0 0 0 0 2 0 0 0 3 0 2 0 0 0 0 
291716045 0 0 0 291716045 0 301749698 0 
Note
In the first example, you only draw the segment [101,200]
. No point is contained in exactly 2
 segments, and the 100
 points 101,102,…,200
 are contained in exactly 1
 segment.

In the second example, you draw 15
 segments: [1,2],[1,3],[1,5],[1,6],[1,7],[2,3],[2,5],[2,6],[2,7],[3,5],[3,6],[3,7],[5,6],[5,7],[6,7]
. Points 1,7
 are contained in exactly 5
 segments; points 2,4,6
 are contained in exactly 9
 segments; points 3,5
 are contained in exactly 11
 segments.