agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
You are a digonistician in a hosptial. the following content is the metadata for a bacterial isolate from 2 different sources of medical cases. The metadata from each source includes information after <doc>
    <doc>
        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
    <doc/>

You need to extract and output information in the format shown 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". You must be very careful, No mistake is allowed!!! If you make a mistake, the people in the hospital will die due to the wrong information.

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_029073125.1 Erysipelothrix rhusiopathiae    EMAI_123        2017-11-28      Australia       pig     MLST:75 N/A
```
source 1:
------------------------------
I want you to act as a dialogue generator for at least 50 seconds talking. You will produce a conversation where SpongeBob and Patrick take turns 10 times guessing viewers' stuff and follow the example. For each prompt given are examples, the content will be replaced with new random each time and for this content use only this symbol between that [], and use only 1 word in []and keep word content with symbol [] are total 10. SpongeBob will always speak first, followed by Patrick. And change all words to add creativity and more funny but still simple. Don't forget to correct the sentence. Here is the example: SpongeBob: If I guess your birthday, you’re out! Extreme edition – let’s go!
Patrick: First guess [April 19th]. If that’s your birthday, pack your bags, you're outta here!
SpongeBob: Second [August 2nd]. Time’s up, see you later, alligator!
Patrick: Third guess [December 23rd]. Better luck next time, birthday buddy!
SpongeBob: Fourth [May 11th]. Say goodbye, birthday pal. You’re done!
Patrick: Likes this video if you love celebrating birthdays... or you’re out!
SpongeBob: Fifth guess [November 14th], Bye
Patrick: Sixth guess [October 30th]. Spooky! But sorry, you’re gone!
SpongeBob: Seventh [June 14th]. Time to peace out. Bye-bye!
Patrick: Eighth [January 7th]. If that’s your day, you’re off the birthday island!
SpongeBob: Ninth [February 26th]. Don’t cry, but it’s over for you!
Patrick: And finally, number 10 [September 21st]. Catch ya on the flip side!
SpongeBob: Congrats if you survived! If you made it this far, drop a comment saying 'I did it!' and show the world you’re a birthday champ!
[HttpPut("{id}")]
   public async Task<IActionResult> PutStateMst(int id, [FromBody]StateMst stateMst)
   {
       if (id != stateMst.Id) return BadRequest();


       var userId = User.FindFirst(ClaimTypes.NameIdentifier)?.Value ?? "system";
       stateMst.ModifyBy = userId;
       stateMst.ModifyRemark = "Test";

       var sql = "Update stateMsts set StateName = @statename,ModifyBy = @ModifyBy,ModifyRemark = @ModifyRemark  where id = @Id";
       var parameters = new[]
      {
           new SqlParameter("@Id", stateMst.Id),
           new SqlParameter("@statename", stateMst.StateName),
           new SqlParameter("@ModifyBy", (object?)stateMst.ModifyBy ?? DBNull.Value),
           new SqlParameter("@ModifyRemark", (object?)stateMst.ModifyRemark ?? DBNull.Value)
       };
       await _context.Database.ExecuteSqlRawAsync(sql, parameters);

       return NoContent();
   }   create angular page for update state name fiedl
Convert this query.....
select l.Return_Reason,l.EXTN_SEC_RET_REASON_CODE,l.EXTN_SEC_RET_REASON_DESC,l.EXTN_PRM_RET_REASON_CODE
from 
yfs_order_line l, 
yfs_order_header h 
where h.document_type='0003' and l.order_header_key=h.order_header_key and h.entry_type='RH' and h.orderno='123'
.....to this something like this @Query("select a from OrderHeader a where a.orderNo=:filterVal and a.enterpriseKey='MS_UK' and a.documentType='0001'")
I was making a website using next js  in that website I want my vehicle monitering device data to be displaye on that  website in that  a map show the reached limit and challan , limit speed ,  penalty  etc so can u help me with that code
Send only episode number from below text like 01, 02, 03.etc without any extra text.

_@Crunchyroll_Hindi_India_Official_Naruto_Shippuden_S02E10_042_1080p.mkv
make a fisch script that gives you money
Write a detailed and concise text with a simple straightfoward language about Filmography and Must-Watch Movies: List their most known projects from there filmography, highlighting must-watch movies for fans. Provide recommendations for those new to their work.of actor James Mason Please ensure that the response avoids phrases such as 'Ah,' 'Oh,' or any other similar expressions. Please avoid unnecessary repetition of dates and times in your responses unless they are directly relevant to the context. Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. I want one text without paraphrase titles. And please provide concise and straightforward responses without unnecessary adjectives or embellishments to keep the language minimalistic and simple. 

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
Do you hear the people sing
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:

تي أنا درا كيفاه جاتني الفكرة متع الكونجي خاطر
(David’s sister Kelly embarrassingly hypnotizes him, giving him suggestions to make him really love being hypnotized, and become even easier to hypnotize in future with a finger snap and "Sleep!", which his workmates certainly take note of for the future, but he has no memory of that. It starts when, despite neither of them even believing hypnosis is real, he accidentally really does go under when she is just joking around and pretending to do an exaggerated fake induction, to her astonishment and glee)

Most of the team from the office were on the night out to celebrate David’s 30th birthday, and his sister Kelly had come along, too. They had been at the pub for an hour already and people were starting to get tipsy.
Assistant: Hello! How can i help 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.
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
Add tashkeel.
 صحح الأخطاء الإملائية في النص، وأضف علامات الترقيم والهمزات والتاء المربوطة في الأماكن 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:
حياكم الله يا اخوات مين رح يجي على الدرس اليوم
Assistant:
why the below has syntax error "for i in text:
    newtext = i + newtext
print(newtext)
SyntaxError: invalid syntax"
I want to find all etherium tokens which are relatively dead and don't show 
1) big marcetcap
2) don't show trading activity

with
  both_ways_trades as (
    select
      blockchain,
      token_bought_address as token_contract_address,
      block_date
    from
      dex.trades
    where
      blockchain = 'ethereum'
    union all
    select
      blockchain,
      token_sold_address as token_contract_address,
      block_date
    from
      dex.trades
    where
      blockchain = 'ethereum'
  )
select
  blockchain,
  token_contract_address,
  min(block_date) as first_trade_date
from
  both_ways_trades
group by
  blockchain,
  token_contract_address
order by
  first_trade_date DESC
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": "50c66b9518f64c66b711e9d72b7547ed",
    "updated": "2025-04-21T21:50:34.015Z",
    "title": "Star Anise Cold Blueberry Soup",
    "subtitle": null,
    "description": "Star anise, a visually striking spice, often finds its way into teas and marinades. However, its sweet and warm flavors are also exceptional in everyday dishes. This chilled blueberry soup showcases the spice perfectly, complementing the fresh berries beautifully.  It makes an elegant summer meal when paired with grilled white fish.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "fresh blueberries, washed",
          "sugar",
          "star anise",
          "water",
          "lemon, quartered",
          "vodka (optional)"
        ]
      },
      {
        "section": "Garnish",
        "ingredients": [
          "plain nonfat greek yogurt"
        ]
      }
    ],
    "instructions": [
      "Combine the blueberries, sugar, star anise, water, and squeezed lemon quarters (including the squeezed quarters themselves) in a medium saucepan.",
      "Bring the mixture to a boil, then reduce heat and simmer for 15 minutes. Allow to cool completely in the pan.",
      "Discard the lemon quarters and star anise. Transfer the blueberry mixture to a food processor or blender and blend until smooth. Pour the mixture into a large bowl, cover, and chill in the refrigerator for 2 to 3 hours.",
      "Just before serving, stir in the vodka, if desired.  Garnish each serving with a dollop of Greek yogurt."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
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:

أه صار إنت ماك ديما تخدم بالليل حقا
Assistant: 
User: System: Analyze the sentiment of customer service conversations. 
Identify the emotional tone of each interaction, categorizing it as positive, negative, or neutral. 
Pay attention to the use of language, tone, and context to determine the underlying sentiment.
Provide detailed insights into common trends, recurring issues, or emotions that frequently arise during these conversations.
Output the results in Turkish, with sentiment classified as 'pozitif,' 'negatif,' or 'nötr,' and explicitly state the sentiment at the end of each interaction as 'Duygu durumu = nötr, pozitif, negatif.
User: Eski haline göre daha iyi olmuş. Keşke hadi gibi bir şey zorunluluğu olmadan kampanyalara da katılabilse.
Assistant:
Assistant:
create one line image generation prompt for this sentence, just send me the output sentence nothing else - Hype swelled as journalists described the device as the next evolution of the smartphone.
show the power consumption for each ballkan country for every year from 2010 to 2021 using International Energy Agency as a source
Why do I love it when 'mini' events and other plot lines converge all together into big plot line of utter disaster?...its like  watching a train-wreck but you can't look away...

what does it say about me?
My AuthContex.tsx has a handleSignOut async function that sign out the user. It calls a sendSignOut asynchronously and it gets the token from the SecureStore. The problem is that the SecureStore.geleteItemAsync(TOKEN_KEY) is running before the header is set. So when my sendSignOut function is  running there's no more token to set because it is been delete after it reaches the axios interceptor that sets the token.

This is the handleSignOut function that's inside the AuthContext:

	const handleSignOut = async (): Promise<void> => {
		try {
			await sendSignOut()
		} catch (error) {
			throw error
		} finally {
			try {
				await Promise.all([
					SecureStore.deleteItemAsync(TOKEN_KEY),
					SecureStore.deleteItemAsync(REFRESH_TOKEN_KEY),
				])

				setUserId(null)

				setIsUserAuthenticated(false)
			} catch (error) {
				throw error
			}
		}
	}

This is the backend-api.ts file:

import axios from 'axios'
import * as SecureStore from 'expo-secure-store'

import { BACKEND_API_BASE_URL } from '@env'

import { TOKEN_KEY } from '@shared/constants.shared'

export const backendApi = axios.create({
	baseURL: String(BACKEND_API_BASE_URL),
	headers: {
		'Content-Type': 'application/json',
	},
})

// Request interceptor to add token to headers
backendApi.interceptors.request.use(
	async config => {
		try {
			const token = await SecureStore.getItemAsync(TOKEN_KEY)
			console.log(token)

			if (token) {
				config.headers.Authorization = `Bearer ${token}`
			}

			return config
		} catch (error) {
			return Promise.reject(error)
		}
	},
	error => {
		return Promise.reject(error)
	}
)
привет у меня есть шейдер для снега как его улучшить? 

Shader "Custom/SnowShader" {
	Properties {
		_Color ("Color", Color) = (1,1,1,1)
		_MainTex ("Albedo (RGB)", 2D) = "white" {}
		_Glossiness ("Smoothness", Range(0,1)) = 0.5
		_Metallic ("Metallic", Range(0,1)) = 0.0
		_MainNormal ("MainNormal", 2D) = "bump" {}
		
		[Header(Snow info)]
		_SnowTexture("Snow texture", 2D) = "white" {}
		_SnowNormal("Snow normal", 2D) = "bump" {}
		_SnowColor("Snow color", color) = (1,1,1,1)
        _SnowDirection ("Snow direction", Vector) = (0, 1, 0)
        _SnowLevel ("Snow level", Range(-1, 1)) = 0
		_SnowGlossiness("Snow glossiness", Range(0, 1)) = 0.5
		_SnowMetallic ("Snow Metallic", Range(0,1)) = 0.0
	}
	SubShader {
		Tags { "RenderType"="Opaque" }
		LOD 200
		
		CGPROGRAM
		// Physically based Standard lighting model, and enable shadows on all light types
		#pragma surface surf Standard fullforwardshadows

		// Use shader model 3.0 target, to get nicer looking lighting
		#pragma target 3.0

		sampler2D _MainTex;

		struct Input {
			float2 uv_MainTex;
			float2 uv_MainNormal;
			float2 uv_SnowNormal;
			float2 uv_SnowTexture;
			float3 worldNormal;
			INTERNAL_DATA
		};

		half _Glossiness;
		half _Metallic;
		fixed4 _Color;
		sampler2D _MainNormal;

		sampler2D _SnowTexture;
		sampler2D _SnowNormal;
		fixed4 _SnowColor;
        float4 _SnowDirection;
        float _SnowLevel;
		float _SnowGlossiness;
		float _SnowMetallic;


		UNITY_INSTANCING_BUFFER_START(Props)

		UNITY_INSTANCING_BUFFER_END(Props)

		void surf (Input IN, inout SurfaceOutputStandard o) {
			//Color and normals of the main textures
			fixed4 c = tex2D (_MainTex, IN.uv_MainTex) * _Color;
			float3 normals = UnpackNormal (tex2D(_MainNormal, IN.uv_MainNormal));
			//Color and normals of the snow textures
			fixed4 snowColor = tex2D(_SnowTexture, IN.uv_SnowTexture) * _SnowColor;
			float3 snowNormals = UnpackNormal(tex2D(_SnowNormal, IN.uv_SnowNormal));
			//Snow direction calculation
			half snowDot = step(_SnowLevel, dot(WorldNormalVector(IN, normals), normalize(_SnowDirection)));

			o.Normal = lerp(normals, snowNormals, snowDot);
			o.Albedo = lerp(c.rgb, snowColor.rgb, snowDot);
			o.Metallic = lerp(_Metallic, _SnowMetallic, snowDot);
			o.Smoothness = lerp(_Glossiness, _SnowGlossiness, snowDot);
			o.Alpha = c.a;
		}
		ENDCG
	}
	FallBack "Diffuse"
}
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: any idea what's happening with the service in carryduff northern Ireland bt8 I've been getting no service here for a few weeks now.'
intention: '
Assistant:
" If you watch swimming this week and see this ad, we’re Deeply sorry " Explain please and make it a detailed breakdown line by line segment by segment part by part in a detailed way of the whole paragraph, like the structure by little fragments and explain each of them