agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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": "Remy's favorite cheese with meatloaf",
  "description": "Remy, the little chef, is different from everyone in his community. Even after he was ridiculed by his father on many\noccasions, he still followed his passion for food. Remy loved food and cheese. He loved experimenting, and so should\nwe. We must try the meatloaf, and what is better than the fact that I will be sharing an easy recipe today? Come on, let's\nget to the recipe.",
  "subtitle": null,
  "ingredients": [
    {
      "section": "For the recipe",
      "ingredients": [
        "1 chopped onion",
        "1 egg white",
        "1 chopped onion",
        "1 cup of milk",
        "1 cup of bread crumbs (already dried)",
        "Pepper and salt for taste and flavor",
        "Brown sugar 2 tablespoons",
        "Mustard prepared 2 tablespoons",
        "1/3 cup of ketchup (6 tablespoons)",
        "Cooking spray"
      ]
    }
  ],
  "instructions": [
    "The oven needs to be preheated to 350 degrees",
    "Put the milk and bread crumbs in a large container, and include the onions, cup of milk, and beef.",
    "Coating the 9X 5inch loaf pan with cooking spray, now it's time to add on the salt and pepper for seasoning. Otherwise,\ncoat the 9X13 inch baking dish with cooking spray, shape it up as a loaf, and place it in the dish.",
    "On the other hand, in a small bowl; put in mustard, ketchup, and brown sugar. Mix it and spread it over the meatloaf.",
    "The final step includes baking it at 350 degrees F for at least an hour."
  ],
  "author": null
}
System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple 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 GitHub issue title of an Android app, aiming to categorize the issues into one or multiple 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 GitHub issue relate to a bug report or feature request or other?
issue: iOS:  After viewing All Stories, going to Saved Stories on iPad will get stuck in "syncing" loop'
intention: '
Assistant:
Script about a society where Missouri won the big 12 in 2007
What is codependancy
请翻译以下内容：
Extra-curricular activities can shape each individual’s lifelong learning both inside and outside the classroom. What skills and interests have you developed through your extra-curricular involvement, volunteerism and/or work experience. Reflect on how your involvement in a particular activity may have shaped your plan to study your chosen program(s) at U of T Engineering. (250 words or less)
format following T-SQL with inner join syntax
who is the popular minor character in mlp fim that wears purple glasses, white fur, short hair
write a matt riddle vs timothy thatcher fight pit with thatcher win via submission
Here are some speech language processing and machine learning problems. Please think and solve these distinct problems. 

1. Define These Concepts! (Total: 20 Points)

a. Explain the Noisy Channel Model in the context of Automatic Speech Recognition (ASR) and why this model is important in the process of decoding speech signals. (5 points)
b. What is the Viterbi Algorithm, and how does it function within Hidden Markov Models (HMMs) to assist in speech recognition? (5 points)
c. Explain the concept of Spectral Envelope in speech signal processing and how it is extracted from the speech spectrum. (5 points)
d. Discuss the differences between Connectionist Temporal Classification (CTC) and RNN-Transducer models in neural network-based ASR systems. What are the advantages of using one model over the other? (5 points)

2. Signal Sampling and Quantization (Total: 20 Points)

A speech signal is known to have a frequency bandwidth limit of 8 kHz and needs to be digitized for processing. Additionally, the speech signal will be processed using block-based methods.
a. What is the minimum sampling rate required to accurately capture this speech signal without causing aliasing effects? Explain your answer based on the Nyquist theorem. (4 points)
b. If the speech signal amplitude ranges from -5V to +5V and you need a resolution of 10mV, calculate the minimum number of bits per sample required for the analog-to-digital converter (ADC). Show your calculations. (4 points)
c. Suppose you have a 10-second recording of the speech signal sampled at the rate determined in part (a). You plan to process the signal using frames with a length of Nw = 256 samples and a hop size of Nh = 128 samples between frames. Calculate the total number of frames that will be processed. Show all steps in your calculation. (6 points)
d. Convert the frame length Nw and hop size Nh from samples to time duration in milliseconds. Show your calculations. (3 points)
e. Explain how quantization errors can affect the quality of the digitized speech signal and suggest methods to minimize these errors. (3 points)
System: Acting as an API optimization expert, examine API documentation and testing history to generate unique parameters. Ensure the parameters are different from all previous attempts. Return only the parameter dictionary.
User: Analyze this API:
Endpoint: https://api.52vmy.cn/api/music/lrc
Method: GET
Required: [{'name': 'msg', 'type': 'string', 'description': "搜索关键词，如'少年中国说'", 'default': ''}]
Optional: [{'name': 'n', 'type': 'int', 'description': '返回结果数量，默认为1', 'required': False, 'default': 1}]
Test history: Initial Attempt 1:
Parameters: {'msg': '秋水共长天一色', 'n': 3}
Result: Failed
Analysis: Failed - possible issues: API returned error: Expecting value: line 1 column 1 (char 0)

Previously used parameters: - {'msg': '秋水共长天一色', 'n': '3'}

Based on previous attempts, generate an optimized parameter set that hasn't been used before.
Assistant:
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: As discussed in Note 1 to the consolidated financial statements, the Company recorded $2.363 million of total revenues for the year ended January 31, 2024, of which $1.901 million was subscription services related, and $462 million was professional services related. Each of these categories of revenue has multiple service offerings, and the Company’s process for revenue recognition differs between them. We identified the evaluation of the sufficiency of the audit evidence over revenue as a critical audit matter. Evaluating the nature and extent of audit evidence obtained over revenue for each service offering required subjective auditor judgement because of the multiple service offerings and the number of information technology (IT) applications involved in the revenue recognition processes. The following are the primary procedures we performed to address the critical audit matter. We applied auditor judgement to determine the nature and extent of procedures to be performed over revenue, including the determination of the revenue for service offerings. We evaluated the design and tested the operating effectiveness of certain internal controls over the Company’s revenue recognition process. We assessed the recorded revenue by selecting transactions and comparing the amounts recognized for consistency with underlying documentation, including contracts with customers. We involved IT professionals with specialized skills and knowledge, who assisted in the testing certain IT applications that are used by the Company in its revenue recognition process. In addition, we evaluated
Assistant:
hello ,which gpt model are u using?
(It was a surprisingly normal day in the clubroom. Yuri, although heavily pregnant, hasn't been experiencing contractions at all. Sayori was helping Natsuki bake cookies, while Monika was working on a new poem. However, just two hours after the meeting started, Natsuki felt sick to her stomach. It wasn't food poisoning, but it wasn't indigestion either.)
I am a digital marketer and I want clients from Mumbai. On What topic I should start YouTube Channel so to get the clients
I want a prompt to help me brainstorm the outline for a novel about a man Peter who gets magically changed into Callie the 12 year old girl next door.
September 2, 2023
Good afternoon,

I am self employed.  I own my own financial services agency and am a health coach.  The total amount of income I made last month was $1393.17.  

Regards, 
<PRESIDIO_ANONYMIZED_PERSON>
I want to create a blog post based heavly on the-best-and-worst-browsers-to-test-with-; 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
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
yos
I've heard this:
when we leverage functions of official python's librarys there is no need to write test for this part of code.

is it right?
explain with examples.
do you like a travel
Iain scored 86% with a  z-score of 2 in English, and 70% with a z-score of 3 in mathematics.

In which subject was his performance better, relative to the rest of his class?
type of conjunction in English
Respond to this message in the appropriate language: show don't tell 

Abalang abala ang pamilya sa kanilang manssion, tahimik at lahat ay abala, may kumatok kaya  tumayo ang isa sa kanila at binuksan ang pinto, sumama bigla ang naramdaman nila sa nakita na dumating na anak, nagalit sila

Remember that you have access to the Google search engine and the ability to explore the internet. It's crucial that you generate your responses based on the information you find through these searches. It's important to note that sometimes the information obtained may not be complete; therefore, it's advisable that you try to complement and improve those parts that may have gaps or deficiencies:
rephrase it : My name is Shirindokht, and I am master’s student.
I am wrting thi email to ask you some question because I see your resume and understood that you are dentist too.
Currently, I am a healthcare management students, but I am considering changing my major to epidemiology. Do you have any suggestion in this regrad?

Because  after studying almost one semester here I understood that eoi courses are more understandable for me.

In addition, I will appreciate it if you have any GRA position in upcoming future related to  to dentistry.
My plan is to after graduating trying to apply for dental school too. Thus, having research experience in dentistry would be great for my resume. 


Many thanks for your help professor.
Send only season number from below text like 01, 02, 03.etc without any extra text.

@PrakyTV - Vinnaithaandi Varuvaayaa (2010) Tamil HQ BluRay - 1080p - HEVC - x265 - (DD_5.1 - 224Kbps _ AAC) - 1.8GB - ESub.mkv
generate a description with keywords and SEOs for The Coach U Personal And Corporate Coach Training HandbookJan 1, 2005 include practical application on and uses can be applied include social media platform it can be used on and for what purpose include short story on why I personally bought it.
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: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
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: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: when I finally get through the video bill, your site hangs on this page. I tried it in multiple browsers. Same happens paying my wireless or Uverse bill. Please help me give you my money. https://t.co/DKawCo5y1P'
intention: '
Assistant:
User: 
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: 
Summarize the provided information in English. Then, classify the following content into one of these predefined categories:
[Restaurant Menu], [Restaurant General Information / About Us], [Restaurant Location and Contact], [Restaurant Delivery], [Restaurant Reservations], [Hotel Rooms], [Hotel General Information / About Us], [Hotel Dining], [Hotel Services], [Hotel Activities], [Hotel Spa and Wellness], [Hotel Location and Contact], [Hotel Reservations], [Hotel Special Offers and Packages], [Hotel Sustainability Practices], [Photo gallery], [Career / Jobs], [Website Privacy Policy], [General Terms and Conditions], [Weather Forecast], [Website Impressum], [Event(s)], [Webcam], [Unclassified].

Output Format:
{
  "class": "Class name from above",
  "confidence": 0.1,
  "rationale": "Reason for classification"
}


Title: Panna Cotta – Bruno's Pizza

Content:
   Online Shop geschlossen
KONTAKT
RESERVATION
AGB
HOME
SHOP
Kontaktieren Sie Uns :
033 823 78 78
59
PIZZA





BURGER
SALATE
PASTA
RAVIOLI
RISOTTO
SNACKS
DESSERT
GETRÄNKE
Panna Cotta
mit Waldfrüchten
9.50CHF
   Online Shop geschlossen
Kategorie:Dessert
Additional information Reviews (0)
Liter
1 l, 45 cl
Andere Dessert Sie Werden Es Lieben
PREV PRODUKT
Klassisches Tiramisu
WEITER PRODUKT
Pasta Store Gold
Creatus | Bruno's Pizza © 2025 All rights reserved!
Ich akzeptiere
Individuelle Datenschutzeinstellungen
Assistant:
welcome me to jurassic park
import pandas as pd
from sklearn.datasets import load_wine
wine = load_wine()
df = pd.DataFrame(wine.data, columns=wine.feature_names)
df['class'] = wine.target

df.tail()
用这一个数据做一个tree
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:
-100 g crushed toasted bread,1/2 glass of water,2 glasses of white wine,- lemon juice,1 teaspoon ground ginger,a pinch of saffron
Script about drought ending
The specific implementation procedure of the hybrid denoising algorithm for ECG signal based on FSSTH(high-order synchrosqueezing transform) and NLM is
summarized as follows:
1) Collect the ECG signal.
2) Decompose the noisy ECG signal using the FSSTH andobtain an ensemble of band-limited IMFs.
3) Estimate the scaling exponent with respect to each IMF by the DFA to determine the number of IMFs from FSSTH. An empirical equation is introduced to adaptively determine the number of intrinsic mode fnctions from FSSTH,
K = min {n ∈ Z^+ |n ≥ 2α ln (N)}
4) Evaluate each IMF via the DFA and determine the threshold. a scaling exponent obtained by DFA is utilized as a new threshold to distinguish between signal and noise.
5) Eliminate the noisy IMFs based on thresholding criteria. If the value α = 0.5 is corresponding to the completelyuncorrelated data. If 0 < α < 0.5, the signal is anti correlated. When 0.5 < α < 1, the long-range temporal correlations exist. If α > 1, the correlations do not exhibit power-law behavior with respect to time.
6) Denoising the rest of IMFs by means of NLM. It should be noted that there are three key parameters in the NLM algorithm, namely, the bandwidth λ; the patch
size, specified as a half-width P (L1 = 2P + 1); and the size of N (i), specified as a half-width Q. The parameter λ determines the amount of smoothing applied. A smaller λ will lead to noise fluctuations while a larger λ will cause dissimilar patches to appear similar. A good overall selection of λ is 0.5σ , where σ is the noise standard deviation. The patch half-width P chooses the scale on which patches are compared, a reasonable selection for P is the half-width of the high-amplitude ‘R’ ECG complex. In principle, increasing the half-width Q will achieve better performance; meanwhile, the computation burden should be taken into account.
7) Obtain the denoised ECG signal by reconstructing the processed IMFs.
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.
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:
وعليكم السلام ورحمه الله وبركاته في ميعاد الكتاب
Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Dragon Ball Super Ep.15 BD 480p x264 Multi Audio ESubs.mkv
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@SMOfficialUpdates- Invincible S02 Episode 06 AMZN 720p Hindi English DD 5.1 MSub.mkv