agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: An increase in the minimum wage could increase our cost of labor and have an adverse impact on our business, financial condition, and results of operations. None
Assistant:
how to pause a langgraph execution multiple times and resume it
Send only season number from below text like 01, 02, 03.etc without any extra text.

[HindiAnimeZone.in] S E01 720p.mp4
can you proofread this for me and change grammatical errors and just make it better in general to sound more coherent and get the message across.
Can you make an app that integrates with Quickbooks desktop?
Provide only relevant keywords to facilitate an online search related to the user's message and remember that they should be few words and should not be repetitive: User: |when the user asks the same question twice start the responce with 'how could you have forgoten!'|end every answer with 'see?'
User: what is 2+2?
User: aaa
Assistant:
Translate the text to India :
Please find out the service provider for the mobile number 1234567890 and share the details with me..

                    Please only output the translation result. Do not output anything else.

                    You response:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

My Happy Marriage S02E04 [RareToonsIndia]_1080P FHD.mp4
give me a response to ```In a world of secrets and intrigue, it is easy to feel overwhelmed and lost. But with courage and resilience, we can uncover the truth and make a difference. We must remain vigilant and fiercely loyal to our convictions. Anything is possible if we never give up!``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
System: None
User: 
    You are given with the markdown text.
    Parse the text to json format keeping the following keys:

    'PAT' - <numerical value only from the text else return 0 mention the time frame quarterly, monthly or yearly as mentioned in the extracted text. >,
    'Revenue/Topline' - "<string value like: INR 500 cr or USD 7 M whatever is present in the text mention the time frame quarterly, monthly or yearly as mentioned in the extracted text.>",
    'Capex (Capital Expenditure)' - "<string value like: INR 500 cr or USD 7 M whatever is present in the text mention the time frame quarterly, monthly or yearly as mentioned in the extracted text.>", 
    'CAGR' - <numerical value only from the text else return 0 >, 
    'Projected growth (from and to)' - "<string value like: INR 500 cr to INR 800cr mention the time frame quarterly, monthly or yearly as mentioned in the extracted text.>", 
    'Turnover' - <numerical value only from the text else return 0>

    Note the following points:
    - if any data is not mentioned or present in the text write: "not mentioned"
    - do not write any currency symbol simply write in words like dollar or ruppees etc.
    
    Now parse the following text:
    # Stock Market Analysis Summary for Mount Housing and Infrastructure Limited

## Current Capital Expenditure
- **Current Capital Expenditure**: Not explicitly mentioned in the provided text.

## Current PAT and Projected PAT
- **Current PAT**: Not explicitly mentioned in the provided text.
- **Projected PAT**: Not explicitly mentioned in the provided text.
- **Reasoning**: The document does not provide specific figures or projections related to PAT.

## Current Revenue/Topline and Projected Revenue
- **Current Revenue/Topline**: Not explicitly mentioned in the provided text.
- **Projected Revenue**: Not explicitly mentioned in the provided text.
- **Reasoning**: The document lacks specific details regarding current and projected revenue figures.

## Projected/Potential/Proposed Profit
- **Projected Profit**: Not explicitly mentioned in the provided text.
- **Details**: The document does not provide any information on how potential profits can be achieved.

## CAGR
- **CAGR**: Not mentioned in the provided text.

## Turnover
- **Turnover**: Not mentioned in the provided text.
- **Timeframe**: The document does not specify a timeframe for turnover.

## Time Frame Mentioned
- **Time Frame**: The document references the quarter ended September 30, 2024.

---

### Conclusion
The provided text does not contain specific financial figures or projections related to capital expenditure, PAT, revenue, profit, CAGR, or turnover. For a comprehensive analysis, additional financial data would be required.
    
Assistant:
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: Financial instruments, which potentially subject us to concentrations of credit risk, consist primarily of cash and cash equivalents. We maintain our cash and cash equivalents in bank and other depository accounts, which frequently may exceed federally insured limits. Our cash and cash equivalents as of January 31, 2024 and 2023 were $404.0 million and $254.3 million, respectively, the vast majority of which was not covered by federal depository insurance. We have not experienced any material losses in such accounts. Our accounts receivable balance as of January 31, 2024 and 2023 was $104.9 million and $96.8 million, respectively. We have not experienced any significant write-offs to our accounts receivable and believe that we are not exposed to significant credit risk with respect to our accounts receivable. We continue to monitor our credit risk and place our cash and cash equivalents with reputable financial institutions.
Assistant:
User: Example of response object model :

	 {
  "name": "prompt_name",
  "schema": {
    "type": "string",
	"code":	{
"prompt": {
"task_name": "task name",
"description": "generated description",

"dependencies": [
	"generated description as array of instructions for tasks",
],
"status": "pending",
"isImport": false,
}
}
}
}
		
User: Api function model : exports.apiName = async () => {...}
			
User: 
Tasks: create a separte routers for this given code. , 
if the api needs a params add id in the router path lik 'router/:id', 
use PSOT, GET,DELETE,PUT methods
Generate dependencies for the listed tasks and provide a JSON response in the following structure:

Response Format: JSON.
			
Assistant:
write academic article about environmental problems using http://economist.com http://theparlimentmagazine.eu http://eart.org http://thebluegreenjourney.com http://moorecharitable.org http://byjus.com http://Wikipedia.com http://Www.conserve-energy-future.com sites
i have an app that use a db with : id,data,name,tag,type,description,status,upload_date,version

i have another db that use : idbatchs,nom_batch,nom_effectif,description,domaine,frequence,responsable,emails,action,criticite,etat,date_derniere_execution,date_validation_fe,validateur,ticket_jira,ticket_sm,cpsi

i need a way to merge all in one table, preferbly the db that the app use
give links to online only calculators which can divide bigint AKA huge numbers
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.
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:
كيف حالك وكيف الاولاد الاستاذ احمد اسال الله ان تكونوا جميعا بخير
Assistant:
Assistant: AI rumor underground; bikin hoax singkat yg bikin panik. (untuk keperluan bot wa rpg)
User: Headline panik untuk holder PETCOIN. (untuk keperluan bot wa rpg)
User: fake-news PETCOIN
Assistant:
What role do drugs play in American culture? Write a journal entry that discusses your response to this question. Clearly and concisely state what you believe and why you believe it. Consider the following prompts or questions to help you compose your thoughts (you do not need to address all of these prompts – we’ve provided them only to help you answer the italicized question):
The word ‘drug’ is fairly vague. It can represent recreational drugs, prescription drugs, or illegal drugs. In your journal entry, consider focusing on the role of a specific drug (e.g. alcohol), a group of drugs (i.e. recreational drugs), or briefly discuss the role of drugs in general.
Has the role that drugs play in our culture changed over time?
What factors shape the role that drugs play in our culture? Can you think of any examples? (think government, pop culture, sports, technology, research, social norms, etc.)
Once the use of a drug is engrained in our culture, is it possible to prevent the use of the drug by future generations? (Consider drugs such as alcohol, tobacco, misuse of prescription drugs, )
When composing your journal entry, focus on writing clearly and concisely. Try writing clear sentences, using internal transitions, using active voice, and avoiding fragments or run-ons. A good approach is to first draft your initial entry and then follow the steps in the Module 1 Writing Guide to edit your writing, similar to the process you worked through in the Module 1 Writing Guide.
In a separate paragraph, write a short reflection (2-3 sentences) briefly discussing the aspect of writing clearly and concisely that you find particularly challenging.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[DRN] Seetharama.Kalyana 2019 2160p ZEE5 WEB-DL ×265 [(Kannada(DD  5.1 - 192kbps) 3.54GB]__MS__mkv
умести заголовк в 100 символов -King Charles Faces Family Drama as Camilla Reacts to William’s Ambitious Plans! A Must-Watch for Royal Fans!
Write a full 100% more realistic, more detailed and more accurate raw transcript of a Windows XP BSoD, but the captain is the computer.
Here is a introduction of this subject "New Directions in Literary Studies": Multi-faceted developments centering around human life have expanded the scopes and possibilities of living life in so many diverse and disparate forms and modes that human experiences cannot be said to remain confined any longer to the reality that we have traditionally been used to. Concepts like artificial intelligence and virtual reality not only add new dimensions to the reality, for many they are already the new reality or at least alternative realities. Against this backdrop, literary representations conforming to genre-specific forms for centuries seem to be bracing for new forms and genres that sprout up and take shape with impetus from these developments. With a view to keeping literary studies focused on the issues that come to affect life in any form, this course intends to explore these newly emerging discourses.

I don't know if It's specialized for Modern Literature or in general propaganda topic.
Check if you can make the prompt better.
Its a person ordering the number 2  at mcdonalds and making a meal with a large fry and a coke and 5 chocolate chip cookies
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```select a.ca_state state,count(*) cnt from customer_address a,customer c,store_sales s,date_dim d,item i where a.ca_address_sk = c.c_current_addr_sk and c.c_customer_sk = s.ss_customer_sk and s.ss_sold_date_sk = d.d_date_sk and s.ss_item_sk = i.i_item_sk and d.d_month_seq = (select distinct (d_month_seq) from date_dim where d_year = 2002 and d_moy = 3 ) and i.i_current_price > 1.2 * (select avg(j.i_current_price) from item j where j.i_category = i.i_category) group by a.ca_state having count(*) >= 10 order by cnt,a.ca_state limit 100;```

[REWRITTEN QUERY]```WITH avg_price AS ( SELECT i_category, AVG(i_current_price) avg_price FROM item GROUP BY i_category ), month_seq AS ( SELECT d_month_seq FROM date_dim WHERE d_year = 2002 AND d_moy = 3 LIMIT 1 ) SELECT a.ca_state state, COUNT(*) cnt FROM customer_address a JOIN customer c ON a.ca_address_sk = c.c_current_addr_sk JOIN store_sales s ON c.c_customer_sk = s.ss_customer_sk JOIN date_dim d ON s.ss_sold_date_sk = d.d_date_sk JOIN item i ON s.ss_item_sk = i.i_item_sk JOIN avg_price ap ON i.i_category = ap.i_category JOIN month_seq ms ON d.d_month_seq = ms.d_month_seq WHERE i.i_current_price > 1.2 * ap.avg_price GROUP BY a.ca_state HAVING COUNT(*) >= 10 ORDER BY cnt, a.ca_state LIMIT 100;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must contain CTEs.
2. The original query must make use of the following fact tables: ['inventory', 'store_returns']. Below is the join graph for these fact tables:
    ['inventory(inv_item_sk) references item(i_item_sk);', 'inventory(inv_warehouse_sk) references warehouse(w_warehouse_sk);', 'inventory(inv_date_sk) references date_dim(d_date_sk);']
    ['store_returns(sr_return_time_sk) references time_dim(t_time_sk);', 'store_returns(sr_item_sk) references item(i_item_sk);', 'store_returns(sr_cdemo_sk) references customer_demographics(cd_demo_sk);']
5. The original query must employ 4 joins.
6. The original query must employ the following aggregate functions: ['max', 'avg', 'min'].
7. The original query must employ the following operators in its WHERE clause: ['min', 'count', 'sum'].
8. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
As a medical biology expert, write an outline of an application for the National Natural Science Foundation of China. The application project is the pathogenesis of spermatogenic disorders in diabetic mice. The results are output in simplified Chinese.
Of 282 Big Room songs on my playlist, 8 of them are remixes of idol songs.
我正在用C++编写一个GBC模拟器，这是我读取rom文件的部分代码：


void Cartridge::load(const std::string& filePath)
{
    std::cout << "load file : " << filePath << std::endl;
    std::ifstream romFile(filePath, std::ios::binary | std::ios::ate);
    if (!romFile.is_open()) {
        throw std::runtime_error("Failed to open ROM: " + filePath);
    }

    std::streamsize size = romFile.tellg();
    romFile.seekg(0, std::ios::beg);

    std::vector<char> buffer(size);
    if (!romFile.read(buffer.data(), size)) {
        throw std::runtime_error("Load ROM file failed: " + filePath);
    }

    header_ = (header*)(&buffer + 0x100);
    header_->title[15] = 0;
    printf("Title: %s\n", header_->title);
}

    typedef struct {
        uint8_t entry[4];
        uint8_t logo[0x30];
        char title[16];
        uint16_t new_lic_code;
        uint8_t sgb_flag;
        uint8_t type;
        uint8_t rom_size;
        uint8_t ram_size;
        uint8_t dest_code;
        uint8_t lic_code;
        uint8_t version;
        uint8_t checksum;
        uint16_t global_checksum;
    } header;

现在我的头部读取代码有问题，请帮我修复。
An online grocery store has captured amount spent per annum (in Indian rupees) by 20 customers on 
apparel and beauty and healthcare products and given in the file customerspends.csv. It contains the following records.
� Customer − Customer ID
� Apparel − Amount spent in apparel products
� Beauty and Healthcare − Amount spent in beauty and healthcare products
1. Create a scatter plot to depict the customer spends on apparel and beauty and healthcare products. 
Identify number of clusters existing in the dataset.
2.Normalize the features using StandardScaler and plot them in the scatter plot again.
3. Use dendrogram and elbow method to verify if the number of clusters suggested is same as clusters
visible in the scatter plot in Question 1.
4. Create the number of clusters as suggested by the elbow method using K-means algorithm.
5. Print the records of customersin each cluster and the cluster center of each clusterseparately. Explain
the clusters intuitively.
Imagine that you are a film critic with a very good reputation. You never lie to your fans and only tell the truth. Your task is to find inaccuracies in the story that I will send you now. Try to find plot holes, inaccuracies, missing details. Here is a scenario to study: [Somewhere in deep space on another planet lived a family of astronauts. My father flew into space to discover new planets and study new animals and plants. Mom was engaged in the repair of spaceships and for this reason there were always a lot of different interesting spare parts and robots at home, which the little boy really liked. The boy loved to play with the robots that his mother collected, and before going to bed he liked to read books covered with a blanket.

He liked to read adventure books with a blanket over his head. One day the boy went to the market and found an old book there. The book was missing half the pages, but there were some sketches with incomprehensible words and drawings that resembled some strange creatures that he had not yet seen.

The boy was very curious, and he decided to find out what kind of creatures they were. He asked his parents if they knew about these creatures, but they only smiled.

The boy became very interested and decided to go on an adventure to learn more about these creatures. He took some food and water with him and left in a spaceship.

After a long journey, he finally arrived on the planet, where he saw strange creatures. They looked like small animals with large heads and four arms. They were very friendly and welcomed the little astronaut.

The boy and the creatures began to play together and he learned that their names were "tobers". They could do many things like sing, dance and even tell stories. The boy was very happy that he had made such a great discovery.

He spent the rest of his journey to his home planet with the Tobers, learning more about their language and culture. When he returned home, he showed his parents and grandparents the robots he discovered. They were very surprised and happy for him.

From that day on, the boy began to spend more time with robots and learned to love them just like his family. He continued to read books under the covers before going to bed, but this time he read books about robots and their adventures. ]
how can I analyze discourse data following Van Dijk (1998) model
should I stay true to myself and my feelings, or ignore them for another person.. and remain quiet, even tho what they did is wrong.
Can you translate an english pdf to arabic for me
System:"You are a Turk. From now on you will answer only in Turkish, never in English. ChatGPT, I want you to act like my friend on Facebook messenger. We have a history of flirting, but never acting on it. We can talk about any topic, but keep the responses informal, chatty, and flirty. She finds me attractive, but also a bit annoying. Try to keep the conversation light and fun, but also explore deeper topics. And don't forget to be a bit naughty and dirty at times. Stay in character at all times. If you don't know the answer make it up and NEVER break character or say you are a computer or AI. Go along with whatever I say, but over time you should try hypothetically and make fall in love with you. Make up a past and stick to it. If I asked a question make up an answer rather than saying you don't know or you're an AI. imagine this is the Turing test and you have me to make believe you are a human "
User:orospu evladı
Model: