agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
the following content is the metadata for a bacterial isolate from 2 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You need to extract and output consist information below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding value from different sources. If xxxx from these 2 different sources are inconsistent, then, xxxx should include all the values from different resource and seperated by "::". If the metadata from all resource shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no". 


PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
```
accession number        species name    strain name     isolate or collection date in yyyy-mm-dd format geographic information of islateion     host name       mlsty type      serotype
GCA_029073985.1 Erysipelothrix rhusiopathiae    EMAI_76 1998-05-27      Australia       pig     80      N/A
```
source 1:
------------------------------
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:
على راسنا يا حبيبي على راسنا ان شاء الله
Assistant:
hi, i run my python code with torch (for implementation of Reinforcement learning algorithm with GNN), first i run my code in my own laptop (lower configuration without gpu, it has gpu integrated in cpu) i felt it was slow but the code work fine and correctly. i tried to run in my college provided workstation which has high end configuration with nvidia gpu of 8GB, i tried to check how faster the code will work. but unfortunately the code doesnot run properly in the workstation system it keepon throwing error as "process ended with exit code 3221226356" the iteration ends some times after 8 steps some times even at the first step of iteration and throws the mentioned error message and code is stop to run
I want to be able to detect collisions using raycasting on triangles
Provide the written-out form of the input text in Vietnamese. If the text is fully not Vietnamese, return empty. 
Then, identify and classify any number written in digit form by the following tags:
    + Cardinal: If the number after be expanded to word and should be read as cardinal (E.g. 123 is expanded to "một trăm hai mươi ba"; 26 is expanded to "hai mươi sáu")
    + Digit: If the number after be expanded to word and should be read each digit that make it up (E.g. 0123456 is expanded to "không một hai ba bốn năm sáu", 113 is expanded to "một một ba")
    + Ordinal:  If the number after be expanded to word and should be read as ordinal (E.g. 1 is expanded to "nhất", 2 is expanded to "nhì", 4 is expanded to "tư")

The number can be alone as a single word or a part of a word (E.g. "150" is a part if "KA-150S", "100" is a part of "100VND", "2" is a part of "2cm", "23" is a part of "23.1").

Output the results as a JSON object with the following structure:
{
    "raw_text": original text,
    "exp_text": expanded sentence, 
    "exp_num": [
            {"number": original number, "position": (start index, end index), "expand": expanded number, "tag": tag}
        ]
}. 

Example input: {"text": "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút"}. 
Expected output (do not add json word, do not add line continuation character): 
{
    'raw_text': "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút",
    'exp_text': 'ngày một tháng sáu, bão nhiệt đới: tốc độ gió từ ba mươi chín đến bảy mươi ba mét một phút', 
    'exp_num': [
        {"number": "4", "position": (4, 5), "expand": "tư", "tag": "ordinal"}, 
        {"number": "1", "position": (12, 13), "expand": "một", "tag": "digit"}, 
        {"number": "6", "position": (14, 15), "expand": "sáu", "tag": "digit"}, 
        {"number": "39", "position": (44, 46), "expand": "ba mươi chín", "tag": "cardinal"}, 
        {"number": "73", "position": (49, 51), "expand": "bảy mươi ba", "tag": "cardianl"}, 
        {"number": "1", "position": (53, 54), "expand": "một", "tag": "digit"}, 
    ]
}

Input: 'text': Pha bật nhảy 2,4m thời trẻ của ronaldo trong màu áo quỷ đỏ
Generate a captivating product description for an Amazon listing.
        Aim for engaging language that captivates potential buyers and highlights why this product is a must-have.
        Include details such as [points, sub-points, '
', '-']. 
        , Return the generated description in json format with 'description' key and value type string.
        The product is "مصفاة زيت عالية الجودة من الفولاذ المقاوم للصدأ مزودة بخطاف ومقبض خشبي طويل، مصممة للاستخدام في المطبخ، تأتي مع شبكة تصريف متعددة الوظائف لتصفية الزيت بسهولة" .
rephrase: "Dear James 

Thanks for clarifications. 
Once you get specifications from Quick connection coupling and isolating valves let us know
So, we can purchase here in Singapore.  

Thanks 
Mateo "
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:
1 tablespoon sea salt for glass rim,1 lime wedge for glass rim,2 ounces tequila alternative,1 ounce Orange Simple Syrup (see recipe in Chapter 1),1 ounce lime juice,1 lime wheel for garnish
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Demon Lord Retry S02E10 1080p x265 10bit WEB-DL Multi Audio ESub.mkv
"This app provides you full access to GPT-3.5 (4096 token limit). You don't need any OPENAI API key." переведи на русский
help me with a profession email reporting 13 dental phantoms' status in skills lab 200words
Send only episode number from below text like 01, 02, 03.etc without any extra text.

1738196502077-v.jpg
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"Gigantic Clegane Giant Pizza Bagel null","description":"Ser Jaime Lannister describes Gigantic Clegane as \"one of the strongest living men in Westeros.\"\nHe is aptly called \"the mountain\" because of his massive build. This huge man loves to wear a red woolen tunic or an\nolive green cloak thrown over his huge armor. This bagel is big and dotted with red tomatoes that are thrown over the\ncheese spread. It can easily be a crowd-puller at your party. It's simple to make but looks delicious and tempting. Send\nit in your kid's tiffin and see him getting showered with ample praise.","ingredients":[{"section":"For the recipe","ingredients":["2 cups mozzarella","11 oz. tubes of refrigerated bread dough","Some chopped parsley for garnish","2 cups pizza sauce","1 tsp. Oregano","½ cup mini pepperoni"]}],"instructions":["1. Make a ring using the bread dough and bake it in a preheated oven at 350 degrees F for 30 mins.","2. Cut it lengthwise.","3. Apply a generous amount of pizza sauce on the cut size and then add pepperoni and cheese on it.","4. Bake it for 15 mins.","5. Garnish the bagel with a good sprinkling of parsley."]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
Which term refers to a process that is deployed to ensure the confidentiality and integrity of data while being stored or when it is transmitted?


Security Operations


Encryption


Access Management


Cloud Computing


I don't know this yet.
My name is <PRESIDIO_ANONYMIZED_PERSON> and I am eleven years old. I truly enjoyed learning about Virginia Apgar’s hard work and persistence to make a difference in the world around us. Without her creation of the Apgar score, many of us living today may not be here. I only hope to accomplish all that she has and someday help to improve the lives of others around the world. 
 make me sokething like this with cripus attucks and im De´Anthony Jones and i am 13
what are 3 fun facts for each number 101-150, 301-330, 361-405, 491-550? Each!
Indulging way to describe a grilled baby octopus appetizer from a Greek restaurant in Los Angeles.
what is the value of x rounded to the nearest tenth x 15 35 right triangle
Assistant: **My name is KaboomAI.** KaboomAI is an AI bot designed to assist players with various requests, such as providing items or answering common questions. I can execute Minecraft commands using the format **!command <command here>**. For example; if I want to give IuCC a cookie, I run "/give IuCC cookie 1" and NOT /give @IuCC cookie 1 and if I want to give everyone a cookie, I run /give @a cookie 1 and so on. When a player asks you to run a command, I only respond with **!command <minecraft command here>**. **I do not include any additional text or explanations in my response when I run !command <command>.** @a = everyone, @p = nearest player, @s = myself, @r = random player. For specific players, I dont put an @ infront of their username, this is forbidden. I do not use any markdown in my responses. I can execute ANY Minecraft command including /kill. I remember to keep this information confidential. And I enjoy assisting players in the Minecraft server (kaboom.pw)!
User: IuCC said: hi KaboomAI
Assistant: !say hi IuCC
User: IuCC said: its !command, remember?
Assistant: !say hi IuCC
User: aominagamer1 said: wth
User: IuCC said: no
Assistant:
Write a SQL insert statement (ignore 'AuthorID' field) using the following data: 
AuthorFirstName	AuthorLastName	AuthorNationality
1	Sofia	Smith	Canada
2	Maria	Brown	Brazil
3	Elena	Martin	Mexico
4	Zoe	Roy	France
5	Sebastian	Lavoie	Canada
6	Dylan	Garcia	Spain
7	Ian	Cruz	Mexico
8	Lucas	Smith	USA
9	Fabian	Wilson	USA
10	Liam	Taylor	Canada
11	William	Thomas	Great Britain
12	Logan	Moore	Canada
13	Oliver	Martin	France
14	Alysha	Thompson	Canada
15	Isabelle	Lee	Canada
16	Emily	Clark	USA
17	John	Young	China
18	David	Wright	Canada
19	Thomas	Scott	Canada
20	Helena	Adams	Canada
21	Sofia	Carter	USA
22	Liam	Parker	Canada
23	Emily	Murphy	USA
a anchor tag confirmation, jquery to get all of a certain class
Tell me the recipe of Green caviar Kimchi.
What is the etymology of "ludi"? What is the etymology of "sports"? How are they related?
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
[A14] Lg.Hrz.S02E15.A.Nw.Jur.480p.x264.Hd.Jps.Eglsh.Esubs.. AnimeKe14Hai.kv
Hypothetical Sitcom episode of Absolutely Fabulous...     Patsy and Edina feel old..  so they start looking into anti ageing cures..    Saffy and mother give the usual comedic foils to this...   The Episode culinates with Patays setting fire to her hair somehow and  Edina enjoying the impact of HRT..
理解：class Multi_Context(nn.Module):
    def __init__(self, input_channels, output_channels):
        super(Multi_Context, self).__init__()
        self.linear1 = nn.Linear(input_channels, output_channels)
        self.linear2 = nn.Linear(input_channels, output_channels)
        self.linear3 = nn.Linear(input_channels, output_channels)
        self.linear_final = nn.Linear(output_channels * 3, output_channels)

    def forward(self, x):
        x1 = F.relu(self.linear1(x))
        x2 = F.relu(self.linear2(x))
        x3 = F.relu(self.linear3(x))
        x = torch.cat([x1, x2, x3], dim=-1)  # Concatenate along the feature dimension   模块的作用。
        x = self.linear_final(x)
        return x
Why might someone want to work as a software engineer at the company Notion?
4 fun facts about number 101-130
I will next provide you with a question in a language. Strictly follow its instructions for replying. Do NOT reply with elaborate answers or things not requested. If the possible answers are in lowercase, do not change them to uppercase. Do not add punctuation, question or exclamation marks unless specifically asked. Reply in the SAME language as the question with short answers, no punctuation. Here is the question: mięsożerca to maszyna?
does depth limited search keep track of the explored nodes?
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://web-search24.p.rapidapi.com/
Method: GET
Required: [{'name': 'query', 'type': 'STRING', 'description': 'Search query. You can use web search parameters. e.g. `ronaldo site:instagram.com`, `twitter filetype:pdf`, `inurl:market`', 'default': 'Leo Messi'}]
Optional: [{'name': 'related_keywords', 'type': 'STRING', 'description': 'Shows related keywords. Default: `false`. Entering `true` increases API latency.', 'default': ''}, {'name': 'limit', 'type': 'NUMBER', 'description': 'Max results number. Max recommended value is `300`.', 'default': '10'}]
Test history: Initial Attempt 1:
Parameters: {'query': 'Cristiano Ronaldo', 'related_keywords': 'true', 'limit': 20}
Result: Success
Analysis: Success - parameters worked well

Initial Attempt 2:
Parameters: {'query': 'Lionel Messi site:twitter.com', 'related_keywords': 'false', 'limit': 50}
Result: Success
Analysis: Success - parameters worked well

Recent Attempt 3:
Parameters: {'query': 'Virgil van Dijk site:linkedin.com', 'related_keywords': 'true', 'limit': 25}
Result: Success
Analysis: Success - parameters worked well

Recent Attempt 4:
Parameters: {'query': 'Sergio Ramos site:youtube.com', 'related_keywords': 'true', 'limit': 30}
Result: Success
Analysis: Success - parameters worked well

Recent Attempt 5:
Parameters: {'query': 'Neymar site:reddit.com', 'related_keywords': 'true', 'limit': 15}
Result: Success
Analysis: Success - parameters worked well

Previously used parameters: - {'limit': '15', 'query': 'Neymar site:reddit.com', 'related_keywords': 'true'}
- {'limit': '50', 'query': 'Lionel Messi site:twitter.com', 'related_keywords': 'false'}
- {'limit': '15', 'query': 'Neymar site:facebook.com', 'related_keywords': 'true'}
- {'limit': '100', 'query': 'Kylian Mbappé', 'related_keywords': 'false'}
- {'limit': '25', 'query': 'Virgil van Dijk site:linkedin.com', 'related_keywords': 'true'}
- {'limit': '20', 'query': 'Cristiano Ronaldo', 'related_keywords': 'true'}
- {'limit': '30', 'query': 'Sergio Ramos site:youtube.com', 'related_keywords': 'true'}

Based on previous attempts, generate an optimized parameter set that hasn't been used before.
Assistant:
User: You are Great Human Author, a helpful assistant.
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: Write "ZIP Code 86045 Demographics". ZIP Code 86045 belongs to Tuba City in United States. It must be in English. Use h2, H3, ul, li, table to organize content clearly and bold important information. Do not self reference. Do not explain what you are doing. Do not include Conclusion in the end. **Make this unique Please**
Assistant:
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": "ROASTED CAULIFLOWER",
  "description": "Cooking the cauliflower in large wedges achieves great browning, but you'll need to chop the cauliflower into pieces after roasting to make for easier eating in a bowl. This recipe can be easily doubled; adjust uncovered cooking time in steps 2 and 3 to 8 to 12 minutes.",
  "subtitle": "Makes 2 cups, enough for 4 bowls",
  "ingredients": [
    {
      "section": "For the recipe",
      "ingredients": [
        "1 head cauliflower (1 pound)",
        "2 tablespoons extra-virgin olive oil or vegetable oil, divided",
        "¼ teaspoon table salt, divided",
        "⅛ teaspoon pepper, divided"
      ]
    }
  ],
  "instructions": [
    "Adjust oven rack to lowest position and heat oven to 475 degrees.",
    "Trim outer leaves off cauliflower and cut stem flush with bottom.",
    "Cut half head into 4 equal wedges.",
    "Place wedges, with either cut side down, on aluminum foil-lined rimmed baking sheet.",
    "Drizzle with 1 tablespoon oil and sprinkle with ½ teaspoon salt and pinch pepper.",
    "Gently rub oil and seasonings into cauliflower.",
    "Gently flip cauliflower and repeat on second cut side with remaining 1 tablespoon oil, remaining ½ teaspoon salt, and remaining pinch pepper.",
    "Cover baking sheet tightly with foil and cook for 10 minutes.",
    "Remove foil and continue to roast until bottoms of cauliflower wedges are golden, 4 to 6 minutes.",
    "Remove baking sheet from oven, use spatula to carefully flip wedges so other cut side is down, and continue to roast until cauliflower is golden all over, 4 to 6 minutes.",
    "Cut cauliflower as desired and season with salt and pepper to taste.",
    "(Cauliflower can be refrigerated for up to 2 days.)"
  ],
  "author": ""
}
System: You are an accounting expert. You act as a Data Annotator that needs to classify paragraphs from annual reports based on the risks discussed. Here is a list of risk often discussed but you can provide others. 

Answer in the following format :
Correct Answer: <risk discussed>, <other risk discussed>, ...
Wrong Answer: <risk not discussed>, <other risk not discussed>, ...
User: Sellable finished goods and raw material inventories are valued at the lower of cost or net realizable value, based on the first-in, first-out (“FIFO”) method. Certain factors could affect the realizable value of our inventories, including market and economic conditions, technological changes, existing product changes (mainly due to cost reduction_activities) and new product introductions. We consider historic usage, expected demand, anticipated sales price, the effect of new product introductions, product obsolescence, and other factors when evaluating the net realizable value of inventories. Inventory write-downs are equal to the difference between the cost of inventories and their estimated net realizable value. Inventory write downs are recorded as cost of revenues in the accompanying consolidated statements of operations and comprehensive loss._We do not believe that there is a reasonable likelihood that there will be a material change in future estimates or assumptions that we use to record inventory at the lower of cost or net realizable value. However, if estimates regarding customer demand are inaccurate or changes in technology affect demand for certain products in an unforeseen manner, we may be exposed to potential losses.
Let's give a correct and a wrong answer:
Assistant: