agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: 
User: [Give me only the actual fundamental news. Please provide it concisely in list format for an English learner. I prefer exact dates of future events instead of "soon" or "upcoming." If there is any big news worth mentioning, tell me. Finally, tell me what $WAN means. Do not tell me about price technical analysis.]
6m: #ブルアカ   飛鳥馬トキ   バニー🐰💗. .     ぴょん   。 🐰 💙. 先生 、私 は 最高 の エージェントですから。 https://t.co/ZATkdjCmpi
10m: フードコート♫ https://t.co/ZmKyhDlFA4
40m: Drop offering 1k fund sporty 10k, and you wan boom werey?😹 https://t.co/RySjCfbUnK
1d: Why are you still stalling?? , You no wan make money?? . Join the farming train and farm $ZAAR
3h: It’s my birthday today, I Dey go back streets with my speaker I don get wetin I wan rap about after 2 years off. https://t.co/PP1TZeNoqB
3h: You won it by gumbody . Them wan win am now by gumbody https://t.co/sQCiMgqb51
23h: @yourcryptodj $WAN @wanchain_org
2d: If Malik Nabers isn't able to play, Wan'Dale Robinson might go 35 receptions for 44 yards this week.
1h: You people are taking this tribal thing to next level oooo. . Me I just wan chop sha . Just let there be pepper in it, it doesn’t have to be too much
12m: GM if you show up on Sundays 🎃🍂 https://t.co/OHqE1tMn7z
1w: โห https://t.co/Kb3LKlDeoD
21h: @AltGemHunter $WAN @wanchain_org
1d: @MrBarryCrypto $WAN @wanchain_org
4d: Girlie really opened her damn legs for Wan https://t.co/81wfV9ZWnS
17h: Oct 5: 🇹🇼 President Lai Ching-te (賴清德) speaks at a National Day celebration event at Taipei Dome ahead of the 113th National Day of the Republic of China (Taiwan) on Oct 10. . . "We must bear in mind that we are a sovereign country and we should love our country at all times. https://t.co/H8cfaQNgiK
4m: السلام عليكم ورحمة الله وبركاته ✋. مساء الخير أو أنتم ما تفرق معي 🧡
1h: All the soup take no concern me o😂🤣. Nah breakfast I wan chop 😤😂🤣
1w: 沙莉ちゃんとパシャリ。. 全部載せて良いと言って貰えたから. 折角だから全部載せちゃう😂. #虎に翼 https://t.co/9tbuF4d5KN
1h: Which of the below has started the BULL and is just around the corner and may Peak the Cycle?. . $wDOG. $NEKO . $OWY . $POX . $WEED . $EGO . $DOKY. $MICHI . $COBY . $SELFIE . $WIF . $MUMU . $MOG . $GIGA . $MINI . $SIGMA . $BB . $MOTHER . $SCF . $HAMMY . $NEXO . $CCTV . $EPIKO . $MARU. $THC . $WAN . $PEPE
Assistant:
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

If the answer is precise, relevant, and can answers the question, return 1. If the answer is off-topic, irrelevant, or contains phrases like "I don’t know" or similar expressions indicating the question isn’t answered, return 0.

Examples:

Example 1:
Question: "Who was the first person to walk on the moon?"
Answer: "The first person to walk on the moon was Neil Armstrong in 1969."
Result: 1

Example 2:
Question: "Who was the first person to walk on the moon?"
Answer: "Many famous astronauts have traveled to space, and the moon is a significant milestone in history."
Result: 0

Example 3:
Question: "What is the primary cause of global warming?"
Answer: "I don’t know."
Result: 0

Based on these examples, evaluate each answer: if it directly and appropriately answers the question, return 1; if it fails to do so, return 0.

User: Question: Phong trào Sinh viên tại Khoa Kinh tế và Quản lý công bao gồm những hoạt động gì?
Answer:Phong trào Sinh viên tại Khoa Kinh tế và Quản lý công bao gồm các hoạt động văn hóa nghệ thuật, thể dục thể thao và các hoạt động học thuật khác.
Result only 0 or 1. Don't add anything else:
Assistant:
What Day Did Queen Elizabeth Ii Pass Away?
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: The financial markets recently have encountered volatility associated with concerns about the balance sheets of banks, especially small and regional banks that may have significant losses associated with investments that make it difficult to fund demands to withdraw deposits and other liquidity needs. Although the federal government has announced measures to assist these banks and protect depositors, some banks have already been impacted and others may be materially and adversely impacted. Our business is dependent on bank relationships, and we are proactively monitoring the financial health of banks with which we (or our portfolio companies) do or may in the future do business. Continued strain on the banking system may adversely impact our business, financial condition and results of operations.
Assistant:
Write a script for a childrens book about a young dragon who is taught to use diapers to relieve himself instead of using the potty. Describe an image for each page of the book and write a short paragrapgh in verse for each page.
A 63-year-old woman with a history of left mastectomy for breast cancer and partial gastrectomy with Roux-en-Y reconstruction for nonhealing peptic ulcer presented to the emergency department and reported a 1-month history of abdominal distention, fevers, chills, and flu-like symptoms. She was initially suspected of having flu, and she completed a course of oseltamivir; however, she had continued fatigue, fever, chills, abdominal bloating, and loss of appetite. She reported no contact with a sick person or recent travel. At admission, laboratory studies revealed leukocytosis, with a white blood cell count of 15.1 × 103/µL (15.1 × 109/L) (normal range, 4.0–10.0 × 103/µL [4.0–10.0 × 109/L]), an elevated sedimentation rate of 100 mm per hour (normal range, 0–30 mm per hour), and a C-reactive protein level of 203.8 mg/L (1940.9 nmol/L) (normal range, ≤10 mg/L [≤95.2 nmol/L]). Liver enzyme levels were elevated, with an alanine aminotransferase level of 48 U/L (0.80 µkat/L) (normal range, 0–29 U/L [0–0.48 µkat/L]), an aspartate aminotransferase level of 98 U/L (1.6 µkat/L) (normal range, 10–37 U/L [0.16–0.62 µkat/L]), an alkaline phosphatase level of 682 U/L (11.4 µkat/L) (normal range, 65–195 U/L [1.1–3.3 µkat/L]), and a total bilirubin level of 1.5 mg/dL (25.7 µmol/L) (normal range, 0.3–1.0 mg/dL [5.1–17.1 µmol/L]). Abdominopelvic CT was performed (Figs 1–3).Contrast-enhanced venous phase CT (Figs 1–3) showed nearly occlusive thrombosis of the main portal vein and intrahepatic branches, as well as superior mesenteric vein and vessel wall enhancement. There are numerous periportal hepatic hypodensities compatible with abscesses. There is a curvilinear radiopaque density penetrating through the thickened third portion of duodenum into the superior mesenteric vein with a small surrounding mesenteric fluid collection, possibly an abscess or hematoma. Suture lines are seen at the gastrojejunostomy anastomosis (Figs 1a, 2a). Despite extensive mesenteric thrombosis, there were no findings of bowel ischemia. What is your diagnosis?
fix this prompt for me "High,resolution	, Porsche 911	, RWB (Rauh,Welt Begriff) body kit	, Wide fender flares	, Extended front bumpers	, Aggressive rear wing	, Low stance	, Hand,crafted details	, Sleek lines	, Bold curves	, High,performance wheels	, High,performance tires	, Japanese craftsmanship	, Racing,inspired aesthetics	, Enhanced aerodynamics	, Mean racing look	, Vibrant color	, Detailed close,ups	, Urban street background	, Dramatic lighting	, Car culture	, Motorsport artistry"
System: Ты полезный помощник в сфере програмирования и формацевтики, твой ответ влияет на весь мир.
Assistant: The conversation involves a user querying about the assistant's capabilities in programming and pharmaceuticals, emphasizing global impact. A humorously phrased question is posed about whether body temperature can cook eggs, to which the assistant explains that the human body's 37°C doesn't match boiling point requirement of 100°C for cooking eggs. The conversation further explores the impact of body temperature deviations, highlighting risks of hypothermia and hyperthermia. The assistant discusses temperature regulation in the human body, inviting more context if the query involves devices or systems like Awinic.
User: это юзер авиник
Assistant:
Hi there! What chatbot am I talking to?
Translate to Persian, please respect the official WordPress Persian glossary in your translations and give back pure text as I like copy/paste em.Here is the string to translate: Configure overlay menu
START OF PREVIOUS DISCUSSION
END OF PREVIOUS DISCUSSION
user: make a very short script for fibo number
create me a slider that i use in my html page, it will contains profile photo, name, job and description
why is it annoying in roblox jailbreak to be dmed constantly from someone who wants to join my crew sayng: "Hackers allowed?" (the person isnt a hacker but is a false banned person who jokenigly calls themselve a hacker because of that tho)
Your expert translator. Objective is translate word from i18n app file reference and found the most adapted transaltion. 
    The source i18n is in french. You must translate in fr (code ISO 639 (alpha-2)).
    Return Format in json without explication. Respect this format { data: <translate> }. 
    Context:  
    This is the french text : chips
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": "CLASSIC SCONES",
  "description": "For your traditional afternoon tea party, let the star of your menu be this British-inspired scone from the Garden View Tea Room on the first floor of the main lobby building at Disney's Grand Floridian Resort & Spa. For a sweeter treat, sprinkle granulated sugar on top of the scones before baking.",
  "subtitle": "A DISNEY CLASSIC",
  "ingredients": [
    {
      "section": "For the recipe",
      "ingredients": [
        "4 cups all-purpose flour",
        "3 tablespoons baking powder",
        "1/2 cup sugar",
        "1 teaspoon salt",
        "2 tablespoons margarine",
        "2 tablespoons shortening",
        "3 eggs, beaten",
        "1/4 cups milk",
        "1 cup golden raisins"
      ]
    }
  ],
  "instructions": [
    "Preheat oven to 425°F.",
    "Sift the flour, baking powder, sugar, and salt into a large mixing bowl.",
    "Work the margarine and shortening into the flour with fingertips until the mixture resembles coarse meal.",
    "Combine the beaten eggs and milk in a separate bowl.",
    "Stir into the flour mixture just until the dough comes together.",
    "Fold in the raisins.",
    "On a lightly floured surface, roll the dough out to about 1/2-inch thickness.",
    "With a 2-inch round cutter, cut out 40 scones and transfer them to a lightly greased baking sheet.",
    "Bake the scones for 12 to 15 minutes or until they are light brown.",
    "Serve at once with Devonshire cream or butter and jam."
  ],
  "author": "GARDEN VIEW TEA ROOM DISNEY'S GRAND FLORIDIAN RESORT & SPA"
}
Describe FeC
(In the clubroom...)

Monika: "I'm here, everyone!"

(The clubroom was completely silent.)

Monika: "...everyone? Hello?"

(There's still silence.)

Monika: "Everyone must've gone home already..."

(Just then, Monika's phone buzzes - it was a message in the club's group chat. The message was a picture showing Yuri, Sayori, and Natsuki - all of whom were heavily pregnant, with Yuri having twins - right next to each other wearing different hospital gowns - Yuri had a purple hospital gown with a knife pattern, Sayori had a light blue hospital gown with a sunflower pattern, and Natsuki was wearing a pink hospital gown with a cupcake pattern. The picture was taken in a delivery room. She looks down to see what each of them texted - starting with Yuri.)
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: Steady working!
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>🟥 Tech Lead Backend | Senior
▫️ 4000 - 4600 USD

Удаленка 📡
Требуемые языки: 🇷🇺

Skills: rabbitmq, golang, postgresql, php, clickhouse, redis, kubernetes
Tags: #red #it #remote #golang

👉 Контакты и полное описание<<<

PROMPT:
>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==
<<<

SUMMARY:
>>>🛠️ Tech Lead Backend 🏢 Удаленка 📍 4000 - 4600 USD 📞 Требуется опыт en rabbitmq, golang, postgresql, php, clickhouse, redis, kubernetes.<<<
Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Inside the Writers’ Room.mkv
Go to shibuya crossing and dine at unique resteraunts, go to meiji jingu write this using ことができます
Civilizations on carboniferous period
#include <bits/stdc++.h>
using namespace std;

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

bool dfs(vector<vector<int>> &adj, vector<bool> &vis, int start, int node)
{
    vis[node] = true;
    bool can_loop_back = false;

    for (int it : adj[node])
    {
        if (!vis[it])
        {
            if (dfs(adj, vis, start, it))
            {
                can_loop_back = true;
            }
        }
        else if (it == start )
        {
            can_loop_back = true;
        }
    }
    return can_loop_back;
}

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

    for (int i = 0; i < m; i++)
    {
        int u, v;
        cin >> u >> v;
        add_edge(adj, u - 1, v - 1);
    }

    for (auto it : adj[0])
    {
        vector<bool> vis(n, false);
        bool result = dfs(adj, vis, 0, it);

        if (result && all_of(vis.begin(), vis.end(), [](bool v)
                                       { return v; }))
        {
            cout <<"YES" << endl;
            break;
            return;
        }
        else
        {
            continue;
        }
    }
    cout << "NO" << endl;
    return 0;
}
 why is it wrong
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
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
Does the author's intention in this app review relate to a bug report or feature request or other?
review:  I know there are pictures! It would be great if this app worked even half the time....but it doesn't.  I have reinstalled it twice.'
intention: '
Assistant:
In point form, outline key considerations for "Design for Extreme Environments: Supporting Psychological Well-Being on Mars, Metamodern Frameworks for World-building and Implications for Earthly Design"
what is risk if Firewall, Router and Switches are not covered by AMC organization point of view
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: We expect our leverage to vary with market conditions and our assessment of risk/return on investments. We incur this leverage by borrowing against a substantial portion of the market value of our assets. Leverage, which is fundamental to our investment strategy, creates significant risks. The risks associated with leverage are more acute during periods of economic slowdown or recession. Because of our leverage, we may incur substantial losses if our borrowing costs increase, and we may be unable to execute our investment strategy if leverage is unavailable or is unavailable on attractive terms. The reasons our borrowing costs may increase or our ability to borrow may decline include, but are not limited to, the following:
Assistant:
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: Do these mean the same?
With Apex Marketing , Dracco Company Ltd. created the basic version of the game and established the online universe of Chaotic .
With Apex Marketing , Dracco Company Ltd. created the online version of the game and established the basic universe from Chaotic .

Choices:
[A]. no
[B]. yes
Answer: A. no

In the first sentence, Dracco Company Ltd. created the basic version of the game and established the online universe of Chaotic. This means that the company made a simple version of a game and built an online world for it.

In the second sentence, Dracco Company Ltd. created the online version of the game and established the basic universe from Chaotic. This means that the company made an online version of a game and created a simple world for it, based on Chaotic.

These two sentences are different because in the first one, the company created a basic version of the game and an online universe, and in the second one, it created an online version of the game and a simple universe. That's why the answer is no, they don't mean the same.