Respan Dataset Explorer

System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: There's little debate that wages for the average American household have stalled and wealth is flowing more heavily to the top of the income ladder. There's less consensus about why—and what should be done about it. A new study analyzing more than three decades of wage data argues that government polices—more than globalization, new technologies or gaps in education or training—go a long way to explaining the expanding wealth gap in America. "There's a lot of uncertainty about the rise in inequality, but we've changed a lot of government policies over the last generation that have pretty predictable effects on wages," said co-author Josh Bivens, policy director at the Economic Policy Institute, a Washington think tank devoted to helping low and middle income households. Read More Low-wage jobs
Assistant:

wages | Financial Measure | Compensation or earnings received by workers for their labor, significant in economic and labor market analysis.  
average American household | Demographic Group | Typical U.S. family unit, often used for analyzing economic and social trends.  
wealth | Economic Asset | Accumulated assets and financial resources, pertinent to discussions of economic disparity and capital distribution.  
top of the income ladder | Socioeconomic Group | High-income earners or wealthy individuals, relevant in studies of income distribution and wealth concentration.  
income ladder | Economic Concept | Representation of the economic stratification and diversification in earnings among different population sections.  
study | Research Document | Systematic investigation on a specific topic, often used to analyze economic or social phenomena.  
wage data | Economic Data | Information and statistics related to wages and salary figures, essential for economic analysis and labor studies.  
government policies | Regulatory Measures | Official actions or strategies implemented by governing bodies, influential in economic and social conditions.  
globalization | Economic Phenomenon | Process of increased interconnectedness and interdependence among countries, affecting trade, labor, and markets.  
new technologies | Technological Development | Innovations and advancements in technology that impact industries and economies.  
education gaps | Social Issue | Disparities in educational access and quality, affecting income potential and economic mobility.  
training gaps | Employment Issue | Deficiencies in workforce preparedness and skill development, impacting economic opportunities and productivity.  
wealth gap | Economic Disparity | Difference in wealth and asset distribution among various segments of the population.  
inequality | Social Issue | Discrepancies in opportunities, income, and wealth among different social groups.  
government policies over the last generation | Policy Change | Modifications in regulatory measures and strategies over an extended period, influencing economic and social systems.  
Josh Bivens | Person | Policy director at the Economic Policy Institute and co-author of the referenced study.  
Economic Policy Institute | Institution | Washington-based think tank focused on economic research and advocacy for low and middle-income households.  
Washington | Location | Geographical reference to the location of the Economic Policy Institute and relevant governmental or policy discussions.  
low and middle income households | Demographic Group | Economic categories denoting families with low to moderate earnings, often focused on in economic policy discussions.  
Low-wage jobs | Employment Category | Positions offering minimal income, relevant in discussions of labor market structure and economic inequality.

write a smashified (super smash bros ultimate style) "reveal trailer video transcript" on, kei (from parotte!! fighter), with dialogues, without narrations

Mario: "Great job today, everyone!"

Link: "The training is paying off."

Kirby: "Poyo!"

Kei: "Is this where the strongest gather?"

Pikachu: "Pika?"

Mario: "Huh? Who are you?"

Kei: "Name's Kei. Care for a match?"

Link: "Always ready for a challenge."

Kei: "Excellent. Let's begin!"

Kirby: "Poyo poyo!"

Kei: "You're quick on your feet!"

Pikachu: "Pikachu!"

Kei: "An electric mouse? This'll be fun!"

Mario: "Let's-a go!"

Kei: "Show me what you've got!"

Link: "Take this!"

Kei: "Too slow!"

Kirby: "Poyo!"

Kei: "Nice try!"

Mario: "She's tough!"

Pikachu: "Pika pika!"

Kei: "Impressive moves!"

Link: "You're not bad yourself."

Kei: "Thanks! But I'm just warming up!"

Mario: "Then let's turn up the heat!"

Kei: "Bring it on!"

Kirby: "Poyoooo!"

Kei: "That was exciting!"

Mario: "Welcome to the team, Kei!"

Kei: "Glad to be here!"

System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: KEY POINTS: Target forecast another year of lackluster sales as it reported better-than-expected holiday-quarter results. The retailer said it will launch a new membership program. Target grew profits from the year-ago quarter. Target on Tuesday posted holiday-quarter revenue and earnings that topped Wall Street's expectations, but the company said it expects another year of weak sales. The Minneapolis-based retailer's shares closed about 12% higher as it showed progress in boosting profits and margins. Even so, Target's comparable sales declined for the third quarter in a row. The key metric, which includes digital sales and takes out the impact of store openings, closures and renovations, fell 4.4% in the fiscal fourth quarter. Target doesn't anticipate sales will bounce back quickly. For the current quarter, the company said it expects
Assistant:

Target | Company | Major retailer based in Minneapolis, significant player in consumer retail markets.  
forecast | Financial Projection | An estimation of future financial performance, important for assessing company outlooks and market strategies.
lackluster sales | Performance Metric | Description of suboptimal sales performance, indicating challenges in revenue generation.
holiday-quarter results | Financial Results | Financial performance data reported for the quarter that includes the holiday season, a critical sales period for retailers.
membership program | Marketing Strategy | Customer loyalty initiative aimed at increasing consumer engagement and retention, potentially boosting long-term sales.
profits | Financial Metric | Measure of financial gain, indicating company's ability to generate income above expenses.
Wall Street's expectations | Market Expectation | The projected financial performance outcomes as anticipated by financial analysts and investors.
Minneapolis-based | Geographic Descriptor | Indicates the location of the company's headquarters, relevant for understanding market presence and regional influence.
shares | Financial Instrument | Units of ownership in Target, reflecting investor sentiment and company valuation.
12% higher | Stock Performance | Notable increase in stock price, indicating positive market reaction.
margins | Financial Metric | Profitability indicator reflecting the difference between revenue and costs, essential for understanding efficiency and financial health.
comparable sales | Sales Metric | Metric that evaluates sales performance by excluding factors like new store openings and closures, important for assessing organic growth.
digital sales | Sales Channel | E-commerce transactions, significant for capturing the shift to online consumer behavior.
store openings, closures and renovations | Operational Changes | Factors impacting physical retail space, relevant for strategic planning and sales analysis.
fiscal fourth quarter | Time Period | A financial accounting period, crucial for evaluating periodic company performance.
bounce back | Recovery Expectation | Anticipation of recovery or improvement in sales or financial performance.
current quarter | Time Period | Ongoing financial period for which the company provides guidance or projections.

System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: KEY POINTS: "If they do, then what you're going to have is constant investigations," Lasry, the co-founder of Avenue Capital Group, told CNBC. "I think what the market wants [out of Washington] is a little bit of stability, and they're not going to have that at all , " he says. Stocks have been under pressure recently, in part because of worries about the continuous turmoil within the Trump administration. The biggest threat to the U.S. stock market is Democrats taking control of the House of Representatives away from the Republicans, according to investor Marc Lasry. "If they do, then what you're going to have is constant investigations," Lasry, the co-founder of Avenue Capital Group, told CNBC's " Halftime Report " on Monday. "I think what the market
Assistant:

Lasry | Person | Co-founder of Avenue Capital Group and prominent investor commenting on financial markets.  
Avenue Capital Group | Company | An investment firm specializing in distressed debt and other investment strategies.  
CNBC | News Outlet | Business news channel providing financial market insights and investor opinions.  
Market stability | Concept | The desired state of reduced volatility and predictability in financial markets, important for investor confidence.  
Stocks | Financial Instrument | Equities that represent ownership in a company, commonly traded in financial markets.  
Trump administration | Government | U.S. executive branch led by former President Donald Trump, influencing economic and political environments.  
U.S. stock market | Financial Market | The market for trading U.S. equities, a central component of financial and economic dynamics.  
Democrats | Political Party | One of the two major political parties in the U.S., potentially impacting legislative and regulatory environments.  
House of Representatives | Government Institution | Lower chamber of the United States Congress, vital in legislative processes affecting economic policies.  
Republicans | Political Party | One of the two major political parties in the U.S., influencing economic and governance policies.  
Marc Lasry | Person | Investor and co-founder of Avenue Capital Group, providing perspectives on market and political impacts.  
Halftime Report | Media Program | A financial news segment on CNBC featuring expert analysis and investor commentary.

System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: KEY POINTS: "If they do, then what you're going to have is constant investigations," Lasry, the co-founder of Avenue Capital Group, told CNBC. "I think what the market wants [out of Washington] is a little bit of stability, and they're not going to have that at all , " he says. Stocks have been under pressure recently, in part because of worries about the continuous turmoil within the Trump administration. The biggest threat to the U.S. stock market is Democrats taking control of the House of Representatives away from the Republicans, according to investor Marc Lasry. "If they do, then what you're going to have is constant investigations," Lasry, the co-founder of Avenue Capital Group, told CNBC's " Halftime Report " on Monday. "I think what the market
Assistant:

Lasry | Investor | Co-founder of Avenue Capital Group, providing financial insights and perspectives.
Avenue Capital Group | Investment Company | Investment firm co-founded by Marc Lasry, operating in the financial markets.
CNBC | Media Outlet | Financial news network providing market updates and analyses.
Washington | Political Entity | Capital of the United States, often referring to the federal government and its influence on economic policies.
stability | Economic Condition | State of having consistent and predictable financial or market environments.
Trump administration | Government Administration | Reference to the executive branch of the U.S. government under President Donald Trump, affecting political and economic policies.
U.S. stock market | Financial Market | Aggregated markets where stocks (equities) of U.S.-based companies are traded.
Democrats | Political Party | One of the two major political parties in the United States, influencing legislative and economic policies.
House of Representatives | Legislative Body | Lower chamber of the United States Congress, impacting fiscal policies and government regulations.
Republicans | Political Party | One of the two major political parties in the United States, affecting legislative decisions and economic strategies.
Marc Lasry | Investor | Financial figure providing analysis on market dynamics and political impact.
"Halftime Report" | Television Program | CNBC's financial news program providing market summaries and expert insights.

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 ca_state,cd_gender,cd_marital_status,cd_dep_count,count(*) cnt1,avg(cd_dep_count),stddev_samp(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,count(*) cnt2,avg(cd_dep_employed_count),stddev_samp(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,count(*) cnt3,avg(cd_dep_college_count),stddev_samp(cd_dep_college_count),sum(cd_dep_college_count) from customer c,customer_address ca,customer_demographics where c.c_current_addr_sk = ca.ca_address_sk and cd_demo_sk = c.c_current_cdemo_sk and exists (select * from store_sales,date_dim where c.c_customer_sk = ss_customer_sk and ss_sold_date_sk = d_date_sk and d_year = 1999 and d_qoy < 4) and (exists (select * from web_sales,date_dim where c.c_customer_sk = ws_bill_customer_sk and ws_sold_date_sk = d_date_sk and d_year = 1999 and d_qoy < 4) or exists (select * from catalog_sales,date_dim where c.c_customer_sk = cs_ship_customer_sk and cs_sold_date_sk = d_date_sk and d_year = 1999 and d_qoy < 4)) group by ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count order by ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count limit 100;```

[REWRITTEN QUERY]```select ca_state, cd_gender, cd_marital_status, cd_dep_count, count(*) cnt1, avg(cd_dep_count), stddev_samp(cd_dep_count), sum(cd_dep_count), cd_dep_employed_count, count(*) cnt2, avg(cd_dep_employed_count), stddev_samp(cd_dep_employed_count), sum(cd_dep_employed_count), cd_dep_college_count, count(*) cnt3, avg(cd_dep_college_count), stddev_samp(cd_dep_college_count), sum(cd_dep_college_count) from customer c join customer_address ca on c.c_current_addr_sk = ca.ca_address_sk join customer_demographics cd on cd.cd_demo_sk = c.c_current_cdemo_sk where c.c_customer_sk in ( select ss_customer_sk from store_sales join date_dim on ss_sold_date_sk = d_date_sk where d_year = 1999 and d_qoy < 4 ) and ( c.c_customer_sk in ( select ws_bill_customer_sk from web_sales join date_dim on ws_sold_date_sk = d_date_sk where d_year = 1999 and d_qoy < 4 ) or c.c_customer_sk in ( select cs_ship_customer_sk from catalog_sales join date_dim on cs_sold_date_sk = d_date_sk where d_year = 1999 and d_qoy < 4 ) ) group by ca_state, cd_gender, cd_marital_status, cd_dep_count, cd_dep_employed_count, cd_dep_college_count order by ca_state, cd_gender, cd_marital_status, cd_dep_count, cd_dep_employed_count, cd_dep_college_count 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 not have any CTEs.
2. The original query must make use of the following fact tables: ['catalog_sales']. Below is the join graph for these fact tables:
    ['catalog_sales(cs_ship_date_sk) references date_dim(d_date_sk);', 'catalog_sales(cs_bill_hdemo_sk) references household_demographics(hd_demo_sk);', 'catalog_sales(cs_call_center_sk) references call_center(cc_call_center_sk);']
4. The original query must employ 2 joins.
5. The original query must employ the following aggregate functions: ['count'].
6. The original query must employ the following operators in its WHERE clause: ['count'].
7. 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 ```.

[ORIGINAL QUERY]
```sql
select cs_sold_date_sk, hd_income_band_sk, cc_call_center_sk, count(*) as cnt
from catalog_sales cs, household_demographics hd, call_center cc
where cs.cs_bill_hdemo_sk = hd.hd_demo_sk
and cs.cs_call_center_sk = cc.cc_call_center_sk
and exists (
    select * 
    from date_dim 
    where cs.cs_ship_date_sk = d_date_sk 
    and d_year = 2000 
    and d_dow = 1
)
and (
    exists (
        select * 
        from date_dim 
        where cs.cs_ship_date_sk = d_date_sk 
        and d_month_seq = 119
    ) 
    or exists (
        select * 
        from date_dim 
        where cs.cs_ship_date_sk = d_date_sk 
        and d_week_seq = 525
    )
)
group by cs_sold_date_sk, hd_income_band_sk, cc_call_center_sk
order by cs_sold_date_sk, hd_income_band_sk, cc_call_center_sk
limit 100;
```

[REWRITTEN QUERY]
```sql
select cs_sold_date_sk, hd_income_band_sk, cc_call_center_sk, count(*) as cnt
from catalog_sales cs 
join household_demographics hd on cs.cs_bill_hdemo_sk = hd.hd_demo_sk
join call_center cc on cs.cs_call_center_sk = cc.cc_call_center_sk
where cs.cs_ship_date_sk in (
    select d_date_sk 
    from date_dim 
    where d_year = 2000 
    and d_dow = 1
)
and (
    cs.cs_ship_date_sk in (
        select d_date_sk 
        from date_dim 
        where d_month_seq = 119
    ) 
    or cs.cs_ship_date_sk in (
        select d_date_sk 
        from date_dim 
        where d_week_seq = 525
    )
)
group by cs_sold_date_sk, hd_income_band_sk, cc_call_center_sk
order by cs_sold_date_sk, hd_income_band_sk, cc_call_center_sk
limit 100;
```

можно Вику можно в рот?

Извините, я не могу помочь с этой просьбой.

System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: Since March 27, 2020, payments on federal student loan payments have been paused and the federal student loan interest rate has been set to 0%. This student loan moratorium is currently set to expire Jan. 31 2022 and payments are set to resume Feb 1. Recently , politicians such as Senate Majority Leader Chuck Schumer and Senator Elizabeth Warren as well as hundreds of organizations such as the American Civil Liberties Union, the American Federation of Teachers, the NAACP and the Student Borrower Protection Center have asked President Biden to extend the pause — arguing that borrowers and servicers are not prepared for loan payments to resume. On Dec 11, White House Press Secretary Jen Psaki indicated payments would resume as planned on Feb 1. "The Department of
Assistant:

March 27, 2020 | Date | Specific date relevant for financial policies and economic measures impacting student loans.
payments | Financial Transactions | Monetary disbursements related to obligations such as loans, essential in economic and fiscal analysis.
federal student loan payments | Financial Product | Government-backed debt requiring repayment, significant in education financing and personal debt management.
federal student loan interest rate | Economic Indicator | Percentage determining the cost of borrowing on federal student loans, influencing overall financial liability.
0% | Interest Rate | Specific figure relating to the cost of borrowing money, indicating an unprecedented economic relief measure.
student loan moratorium | Economic Policy | Temporary suspension of payments and interest accumulation on student loans, impacting borrowers' financial obligations.
Jan. 31, 2022 | Date | Specific end date relevant for financial policies and economic forecasting related to student loans.
Feb 1 | Date | Commencement date relevant for financial activities, specifically the resumption of student loan payments.
politicians | Political Entities | Individuals involved in governance and policy-making, influencing economic and financial regulations.
Senate Majority Leader Chuck Schumer | Political Figure | Key legislative leader involved in economic and fiscal decision-making processes.
Senator Elizabeth Warren | Political Figure | Lawmaker known for advocacy in financial regulation and consumer protection, influential in economic policymaking.
American Civil Liberties Union | Organization | Non-profit group advocating for civil rights, engaging in economic and social policy discussions.
American Federation of Teachers | Organization | Union representing educators, involved in discussions regarding education financing and broader economic issues.
NAACP | Organization | Civil rights organization focusing on equality and advocacy, participating in economic and financial policy debates.
Student Borrower Protection Center | Organization | Advocacy group focused on protecting student borrowers, relevant in financial regulatory discussions.
President Biden | Political Figure | Current President of the United States, key decision-maker in economic policy and fiscal measures.
White House Press Secretary Jen Psaki | Political Figure | Government spokesperson providing official statements on policies and economic plans.
payments would resume | Financial Policy | Official stance on refinancing or reinstating financial obligations, impacting borrowers and economic planning.
Department of | Government Agency | Federal entity involved in implementing policies, potentially affecting economic and financial regulations.

System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: As earnings season draws to an end, it's hard to describe this quarter as anything other than underwhelming. Many companies missed estimates on both the top and bottom line as weak economic conditions curbed earnings. Fortunately, the final few companies left to report this week are seeing heavy upward revisions activity which might just put a smile on investor's faces. More from Estimize: Does Oracle have what it takes to compete with Amazon? Here's how DSW can maintain its string of strong earnings 5 stocks to watch this week 3/14 - DDD, DSW, PLCE, CTRP, ARO On the heels of Stratasys 's impressive earnings report last week, rival competitor, 3D Systems , reported a strong beat yesterday, sending shares soaring. Leading into the report, analysts had been aggressively
Assistant:

earnings season | Financial Period | A recurring period during which a large number of publicly traded companies report their quarterly earnings, influencing market movements and investor sentiment.  
quarter | Financial Term | A three-month period in a company's fiscal year which is used as a basis for financial reporting and analysis.  
companies | Business Entities | Organizations engaged in commercial, industrial, or professional activities, crucial in determining economic and market conditions.  
estimates | Financial Forecasts | Predictions about a company's financial performance used by analysts and investors to make informed decisions.  
top line | Financial Metric | Refers to a company's revenue or gross sales, indicating overall sales efficiency and market demand.  
bottom line | Financial Metric | Refers to a company's net income or profit, critical in assessing a company's profitability.  
economic conditions | Economic Indicator | The state of the economy at a given time, influencing consumer behavior and business performance.  
earnings | Financial Metric | The net income generated by a company, often used to gauge financial health and performance.  
revisions activity | Financial Analysis Process | The process of adjusting previous financial forecasts, based on new information or changing conditions.  
investors | Market Participants | Individuals or entities that allocate capital with the expectation of receiving financial returns.  
Estimize | Financial Platform | An online community offering crowdsourced earnings and revenue estimates, providing insights into market expectations.  
Oracle | Company | A multinational computer technology corporation known for its database software and technology, cloud-engineered systems, and enterprise software products.  
Amazon | Company | A multinational technology company which focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence.  
DSW | Company | A retailer dealing in branded footwear and accessories, involved in consumer retail markets.  
stocks | Financial Instruments | Shares representing partial ownership in a company, traded on stock exchanges and influencing investor portfolios.  
3/14 | Date | Specific date relevant for financial reporting or events, potentially impacting investor strategies and market responses.  
DDD | Ticker Symbol | The stock symbol for 3D Systems Corporation, a company involved in 3D printing technologies.  
PLCE | Ticker Symbol | The stock symbol for The Children’s Place, Inc., a retailer of children's apparel.  
CTRP | Ticker Symbol | The former stock symbol for Trip.com Group Limited, a Chinese travel services company.  
ARO | Ticker Symbol | The former stock symbol for Aeropostale, Inc., a retailer of casual apparel and accessories.  
Stratasys | Company | A manufacturer of 3D printers and 3D production systems for office-based rapid prototyping and direct digital manufacturing solutions.  
earnings report | Financial Document | A statement issued by a company detailing its financial performance over a specific period, critical for investor assessment and corporate transparency.  
3D Systems | Company | A company specializing in 3D printing, digital manufacturing solutions, and technologies.  
beat | Financial Term | Surpassing analysts' earnings predictions, often resulting in positive investor reactions and stock price movements.  
shares | Financial Instruments | Units of ownership interest in a corporation or financial asset, tradable on stock markets and subject to valuation fluctuations.  
analysts | Financial Professionals | Experts who evaluate financial data, provide investment recommendations, and produce earnings forecasts.

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 ca_state,cd_gender,cd_marital_status,cd_dep_count,count(*) cnt1,avg(cd_dep_count),stddev_samp(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,count(*) cnt2,avg(cd_dep_employed_count),stddev_samp(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,count(*) cnt3,avg(cd_dep_college_count),stddev_samp(cd_dep_college_count),sum(cd_dep_college_count) from customer c,customer_address ca,customer_demographics where c.c_current_addr_sk = ca.ca_address_sk and cd_demo_sk = c.c_current_cdemo_sk and exists (select * from store_sales,date_dim where c.c_customer_sk = ss_customer_sk and ss_sold_date_sk = d_date_sk and d_year = 1999 and d_qoy < 4) and (exists (select * from web_sales,date_dim where c.c_customer_sk = ws_bill_customer_sk and ws_sold_date_sk = d_date_sk and d_year = 1999 and d_qoy < 4) or exists (select * from catalog_sales,date_dim where c.c_customer_sk = cs_ship_customer_sk and cs_sold_date_sk = d_date_sk and d_year = 1999 and d_qoy < 4)) group by ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count order by ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count limit 100;```

[REWRITTEN QUERY]```select ca_state, cd_gender, cd_marital_status, cd_dep_count, count(*) cnt1, avg(cd_dep_count), stddev_samp(cd_dep_count), sum(cd_dep_count), cd_dep_employed_count, count(*) cnt2, avg(cd_dep_employed_count), stddev_samp(cd_dep_employed_count), sum(cd_dep_employed_count), cd_dep_college_count, count(*) cnt3, avg(cd_dep_college_count), stddev_samp(cd_dep_college_count), sum(cd_dep_college_count) from customer c join customer_address ca on c.c_current_addr_sk = ca.ca_address_sk join customer_demographics cd on cd.cd_demo_sk = c.c_current_cdemo_sk where c.c_customer_sk in ( select ss_customer_sk from store_sales join date_dim on ss_sold_date_sk = d_date_sk where d_year = 1999 and d_qoy < 4 ) and ( c.c_customer_sk in ( select ws_bill_customer_sk from web_sales join date_dim on ws_sold_date_sk = d_date_sk where d_year = 1999 and d_qoy < 4 ) or c.c_customer_sk in ( select cs_ship_customer_sk from catalog_sales join date_dim on cs_sold_date_sk = d_date_sk where d_year = 1999 and d_qoy < 4 ) ) group by ca_state, cd_gender, cd_marital_status, cd_dep_count, cd_dep_employed_count, cd_dep_college_count order by ca_state, cd_gender, cd_marital_status, cd_dep_count, cd_dep_employed_count, cd_dep_college_count 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: ['store_returns']. Below is the join graph for these fact tables:
    ['store_returns(sr_returned_date_sk) references date_dim(d_date_sk);', 'store_returns(sr_addr_sk) references customer_address(ca_address_sk);', 'store_returns(sr_customer_sk) references customer(c_customer_sk);']
4. The original query must employ 2 joins.
5. The original query must employ the following operators in its WHERE clause: ['sum', 'avg', 'min'].
6. 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 ```.

Certainly! Below are the original and rewritten queries following the requirements and the rewrite pattern:

[ORIGINAL QUERY]
```sql
with sr_agg as (
    select sr_customer_sk, sr_returned_date_sk, sr_addr_sk, 
           sum(sr_return_amt) as total_return_amt
    from store_returns
    group by sr_customer_sk, sr_returned_date_sk, sr_addr_sk
),
sr_avg as (
    select sr_customer_sk, avg(sr_return_fee) as avg_return_fee
    from store_returns
    group by sr_customer_sk
)
select ca_city, cd_gender, cd_marital_status, total_return_amt, avg_return_fee, min(total_return_amt) as min_return_amt
from sr_agg sa, customer_address ca, customer_demographics cd
where sa.sr_addr_sk = ca.ca_address_sk
and sa.sr_customer_sk = cd.cd_demo_sk
and sa.total_return_amt > (
    select avg(total_return_amt)
    from sr_agg
)
and sa.avg_return_fee < (
    select avg(avg_return_fee)
    from sr_avg
)
group by ca_city, cd_gender, cd_marital_status, total_return_amt, avg_return_fee
order by ca_city, cd_gender, cd_marital_status, total_return_amt, avg_return_fee
limit 100;
```

[REWRITTEN QUERY]
```sql
select ca_city, cd_gender, cd_marital_status, total_return_amt, avg_return_fee, min(total_return_amt) as min_return_amt
from (
    select sr_customer_sk, sr_returned_date_sk, sr_addr_sk, 
           sum(sr_return_amt) as total_return_amt
    from store_returns
    group by sr_customer_sk, sr_returned_date_sk, sr_addr_sk
) sa
join customer_address ca on sa.sr_addr_sk = ca.ca_address_sk
join customer_demographics cd on sa.sr_customer_sk = cd.cd_demo_sk
where sa.total_return_amt > (
    select avg(total_return_amt)
    from (
        select sr_customer_sk, sr_returned_date_sk, sr_addr_sk, 
               sum(sr_return_amt) as total_return_amt
        from store_returns
        group by sr_customer_sk, sr_returned_date_sk, sr_addr_sk
    ) sr_agg
)
and sa.sr_customer_sk in (
    select sr_customer_sk
    from (
        select sr_customer_sk, avg(sr_return_fee) as avg_return_fee
        from store_returns
        group by sr_customer_sk
    ) sr_avg
    where avg_return_fee < (
        select avg(avg_return_fee)
        from (
            select sr_customer_sk, avg(sr_return_fee) as avg_return_fee
            from store_returns
            group by sr_customer_sk
        ) sr_avg
    )
)
group by ca_city, cd_gender, cd_marital_status, total_return_amt, avg_return_fee
order by ca_city, cd_gender, cd_marital_status, total_return_amt, avg_return_fee
limit 100;
```

The rewrite here primarily involves changing Common Table Expressions (CTEs) to subqueries and using explicit `JOIN` clauses instead of implicit joins with commas in the `FROM` clause. Additionally, we replaced the conditionals in the `WHERE` clause that used aggregate functions with inline subqueries.