agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
the following content is the metadata for a bacterial isolate from 4 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 must check if the metadata from 4 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:

    </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/>


If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. 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:
------------------------------
<output>
accession number: GCA_029073345.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_106->isolate or collection date in yyyy-mm-dd: 2017-10-25 format->geographic information of islateion: Australia->host name: pig->mlst type: 90->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029073345.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_106->isolate or collection date in yyyy-mm-dd: 2017-10-25->geographic information of islateion: Australia->host name: pig->mlst type: 90->serotype: N/A->vaccine: no


source 2:
------------------------------
<output>
accession number: GCA_029073345.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_106->isolate or collection date in yyyy-mm-dd: 2017-10-25->geographic information of islateion: Australia->host name: pig->mlst type: 90->serotype: N/A->vaccine: no
<output/>
source 3:
------------------------------
accession number: GCA_029073345.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_106->isolate or collection date in yyyy-mm-dd: 2017-10-25->geographic information of isolation: Australia->host name: pig->mlst type: 90->serotype: N/A->vaccine: no
drum and bass or liquid  funk is a breakbeat music genre
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_029072815.1 Erysipelothrix rhusiopathiae    EMAI_140        2017-11-01      Australia       pig     5       N/A
```
source 1:
------------------------------
Correct this phrase : Hello Varun,

Well, noted.

Can you log a ticket and attach the attached sheet to be able to proceed with your request?
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers zh (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 zh.
    - 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 : zh (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "b6e0cfdab05a4091bd6b8e76440688b5",
    "updated": "2025-04-25T15:34:40.328Z",
    "title": "Cheesy chicken soup",
    "subtitle": "",
    "description": "Cheesy Chicken Soup is a comforting and flavorful dish ideal for a cozy meal. Featuring tender chicken, rich cheese, and a blend of spices, this soup is sure to provide warmth and satisfaction.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "black pepper",
          "shredded cheddar cheese",
          "cumin",
          "salt",
          "whipped cream cheese",
          "coconut oil, for cooking",
          "chili powder",
          "yellow onion, chopped",
          "boneless, skinless chicken breasts",
          "garlic, chopped",
          "chicken broth",
          "water"
        ]
      }
    ],
    "instructions": [
      "1. Heat a large frying pan over medium heat with ½ tablespoon of coconut oil.",
      "2. Cook the chicken breasts until they are browned and fully cooked. Remove from the pan and set aside.",
      "3. In a large stockpot, add the remaining 1 tablespoon of coconut oil along with the garlic and onion. Sauté over low to medium heat until the onion becomes translucent, approximately three to five minutes.",
      "4. Add the chicken broth and water to the stockpot.",
      "5. Whisk in the cream cheese, maintaining low to medium heat until fully incorporated.",
      "6. Stir in the spices and bring the mixture to a boil.",
      "7. While the soup is heating, chop the chicken into bite-sized pieces and add to the stockpot.",
      "8. Lower the heat to a simmer and let cook for thirty minutes.",
      "9. Stir in the cheddar cheese just before serving."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
I want to do this in processing 4:

int a, b, c, d, e, f, g, h, i;
int [] letters = {a, b, c, d, e, f, g, h, i};

So I can access the value of each letter by saying what position in the letters array that I want. Is there an way to do this? because when I tried to do that nothing happened.
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.
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:
ممكن تبعث لي الموقع الثاني
Assistant:
please correct the grammar: We received work request for Hakuna, in compliance for the vessel insurance renewal. Below are the work items we need to quote, please provide material & manpower resources estimate and schedule for each line items under your responsibilities. 
Final quote to be finalized this week for submission to client on Monday.
Our title is "Top 30 Worst Sex Addicts In Hollywood History". Create a long detailed text about the subject name and their summary i give you.  Focus only on the Subject name and there following Summary. Subject Name: [Elizabeth Taylor] Summary: [Taylor was married eight times, starting with her first marriage at 18; her multiple divorces and marriages were fueled by her struggles with addiction and infidelity.]

            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. 
            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 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.
Association dues for all regular members should be considered a lifetime commitment additionally child memberships a assessed at your child’s birth or adoption, and are on going as well, when a member has passed away and crossed over from labor, to reward the board will make an assessment and determination on any disbursements due to the member.
Example minimal dues amounts by member type are as followed: New Born’s are $5 a month, Toddler’s are $10 a month, as for Teen’s they are $15 a month, as they get up in age Young Adults are $35 a month, Adults are $40 a month, as age further progresses Mature Adults are $45 a month, our family Seniors are $25 a month , and lastly our Elder’s are $20 a month. Common question asked, “What will the individual member dues be used for?”
Member dues will be used in the following manner to keep our organization alive and in working order
45% - used for secured investments that yield a consistent return ( Real Estate Investments, Secured Loans, Etc)
30% - used for necessary services ( Legal, Accounting, Assn Insurance, Member Meetings, Trustee Qualified Reimbursements, Etc)
10% - used for association expenses ( Web Services, Committee Efforts & functions, Branding, Contract Services, Scholarships, etc)
10% - used for capital reserves ( Supplemental Funding, )
5% - used for misalliance items ( Member Short Term Assistance, Unforeseen Events, , a question will fellow this
Common question asked, “Why are member dues individuality vs for a whole family ?”
prepared table that include list of logs with event id or http response code for winlogbeat and filebeat
How To Avoid Distractions At Work And Stay Focused
You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```SELECT sales_avg, hr_count FROM (SELECT AVG(salary) AS sales_avg FROM employees WHERE department = 'Sales' AND experience_years BETWEEN 1 AND 5 AND salary BETWEEN 50000 AND 60000) AS sales, (SELECT COUNT(*) AS hr_count FROM employees WHERE department = 'HR' AND experience_years BETWEEN 5 AND 10 AND salary BETWEEN 80000 AND 90000) AS hr FROM dummy WHERE d_dummy_sk = 1;```

[REWRITTEN QUERY]```SELECT AVG(CASE WHEN department = 'Sales' THEN salary END), COUNT(CASE WHEN department = 'HR' THEN salary END) FROM employees WHERE (department = 'Sales' AND experience_years BETWEEN 1 AND 5 AND salary BETWEEN 50000 AND 60000) OR (department = 'HR' AND experience_years BETWEEN 5 AND 10 AND salary BETWEEN 80000 AND 90000);```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['inventory']. Below is the join graph for these fact tables:
    ['inventory(inv_date_sk) references date_dim(d_date_sk);', 'inventory(inv_item_sk) references item(i_item_sk);', 'inventory(inv_warehouse_sk) references warehouse(w_warehouse_sk);']
3. The original query must employ 0 joins.
4. The original query must employ the following aggregate functions: ['count', 'min'].
5. The original query must employ the following operators in its WHERE clause: [].
6. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.
Imagine that I want to build a humanoid robot that is capable of realistically talking to humans. Since it has a physical appearance I need it to move realistically and talk realistically, coordinating gestures and speech at the same time. I also need it to be able to execute requests. It will receive visual inputs far more advanced than humans but with a little worse sense of touch. How would I go about creating the software for such a system?
Send only season number from below text like 01, 02, 03.etc without any extra text.

[ @FridayUniverse ] Alice In Borderland (2022) - S02E03 - 720p 10bit NF WEBRip x265 HEVC [ Hindi HE-AAC 5.1 ~ 256Kbps   English AAC 2.0   Japanese AAC 2.0 ] MSub
как можно улучшить таблицы? например, задать диапазон допустимого возраста в таблице сотрудников и так далее
CREATE DATABASE FSS;
USE FSS;

--  Таблица типов ресурсов -- 

CREATE TABLE ResourceType
(
	Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
    ResourceType VARCHAR(20) NOT NULL
);

--  Таблица ресурсов -- 

CREATE TABLE Resources
(
	Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
    ResourceName VARCHAR(50) NOT NULL,
    ResourceType INT NOT NULL,
    FOREIGN KEY (ResourceType) REFERENCES ResourceType (Id)
);

--  Таблица должностей -- 

CREATE TABLE Positions
(
	Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
    PositionName VARCHAR(20) NOT NULL
);

-- Таблица доступа -- 

CREATE TABLE Permissions
(
	Id INT PRIMARY KEY AUTO_INCREMENT,
    ResourceId INT NOT NULL,
	PositionId INT NOT NULL,
    FOREIGN KEY (ResourceId) REFERENCES Resources (Id),
    FOREIGN KEY (PositionId) REFERENCES Positions (Id)
);

--  Таблица отделов -- 

CREATE TABLE Departaments
(
	Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
    DepartamentName VARCHAR(50) NOT NULL
);

-- Таблица начальников департаментов -- 

CREATE TABLE Heads
(
	Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
    HeadName VARCHAR(50) NOT NULL,
    DepartamentId INT NOT NULL,
    FOREIGN KEY (DepartamentId) REFERENCES Departaments (Id)
);

-- Таблица задач -- 

CREATE TABLE Tasks
(
	Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
    TaskName VARCHAR(50) NOT NULL,
    TaskDescription TINYTEXT,
    HeadId INT NOT NULL,
    FOREIGN KEY (HeadId) REFERENCES Heads (Id)
);

--  Таблица сотрудников -- 

CREATE TABLE Employees	
(
	Id INT PRIMARY KEY AUTO_INCREMENT NOT NULL,
    FullName VARCHAR(100) NOT NULL,
    Age INT NOT NULL,
    UserPassword VARCHAR(50) NOT NULL, 
    Phone VARCHAR(20) UNIQUE,
    PositionId INT NOT NULL, 
    DepartamentId INT NOT NULL,
    TaskId INT NOT NULL,
    FOREIGN KEY (PositionId) REFERENCES Positions (Id),
    FOREIGN KEY (DepartamentId) REFERENCES Departaments (Id),
    FOREIGN KEY (TaskId) REFERENCES Tasks (Id)
);
Do we need to  use the whole training dataset in each epoch of random tree algorithm?
```
{
  "name": "selected-line-styler",
  "displayName": "Selected Line Styler",
  "publisher": "SPLOIT47",
  "version": "0.0.1",
  "icon": "resources/humster.png",
  "description": "Extension that adds color to selected line, improving readability of your code",
  "engines": {
    "vscode": "^1.63.0"
  },
  "categories": [
    "Other"
  ],
  "activationEvents": ["onStartupFinished"],
  "main": "./out/extension.js",
  "contributes": {
    "commands": [
      {
        "command": "extension.toggle",
        "title": "Toggle Extension"
      }
    ]
  },
  "scripts": {
    "vscode:prepublish": "npm run compile",
    "compile": "tsc -p ./",
    "watch": "tsc -watch -p ./"
  },
  "extension-pack": [],
  "author": {
    "name": "SPLOIT47"
  },
  "devDependencies": {
    "vscode": "^1.63.0"
  }, 
  "repository": {
    "type": "git",
    "url": "https://github.com/SPLOIT47/selected-line-styler.git"
  }
}
```


за что отвечают эти параметры
 11. contributes -
    12. scripts -
    13. extension-pack -
    14. author - автор
    15. devDependencies - 
    16. repository -
Write a news article where a rabbit named Hutch suddenly comes down with Naegleria fowleri, Will he survive with the help of vets and his friend
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: Liquidity describes our ability to meet financial needs that arise in the normal course of our business, including deposit withdrawals and anticipated loan fundings, as well as current and planned expenditures. Our primary sources of liquidity are deposits, principal and interest payments on loans and securities, and proceeds from calls, maturities and sales of securities. The significant increases in market interest rates beginning in 2022 have contributed and may continue to contribute to a decline in our core deposits as customers seek higher interest rates from sources such as non-bank money market funds and bank competitors. We have undertaken and may continue to undertake measures to mitigate market-wide competitive deposit pressures or interest rate uncertainty or to otherwise manage our liquidity position. These have included and may continue to include accessing alternative funding sources, such as FHLBB advances and brokered certificates of deposit, as noted above.
Assistant:
Write an article about inequality and social policy in the US in 1500 words