{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":25880,"offset":25870,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"Dec. 28 | Date | Specific date relevant for the timing of public announcements or events, potentially impacting media attention and public engagement.\nFormer President Barack Obama | Person | Former President of the United States, influential public figure whose opinions can affect cultural and media discussions.\nYear-end list | Concept | Compilation typically shared at the end of the year reflecting on highlights or favorites, often impacting media and consumer interest.\nbooks | Media Type | Physical or digital written works, significant in cultural consumption and the publishing industry.\nmovies | Media Type | Cinematic works that are a major segment of the entertainment industry and cultural consumption.\nTV shows | Media Type | Televised series or content, important in entertainment consumption and media industry dynamics.\nsongs | Media Type | Musical pieces that are a major part of the music industry and cultural engagement.\nliterature | Media Genre | Written works, particularly those of high quality and enduring cultural value, impacting education and cultural consumption.\nart | Media Type | Visual or performing works significant in culture and the creative industry.\nInstagram | Platform | Social media platform known for visual content sharing, significant in digital marketing and media engagement.\nalbum | Media Type | Collection of audio recordings or songs relevant in the music industry and cultural consumption.\nmovie | Media Type | Cinematic works that are a major segment of the entertainment industry and cultural consumption.\nObama's movie list | Media Content | A curated selection of movies endorsed by Barack Obama, potentially influencing public and cultural interest.","behavior":"degenerate_repetition","conversation_hash":"82226b30c8652c9df14a014a06a1e615","conversation_redacted":false,"conversation_toxic":false,"country":"","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":5936,"n_turns_in_conversation":1,"n_words":910,"source_row_offset":25870,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 01:53:17 GMT","turn_id":"4beb66e8ac104531f3e3b592","turn_index":0,"user_text":"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.\n\nEnsure the following:\nLabel All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.\nDefine New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.\nProvide an Exhaustive Entity List: Include every relevant label mentioned in the input text.\n\nAnswer in the following format:\n | | ,\n | | ,\n...\n\nHere is an Example : \nInput: \nLawmakers continue to try to police social media use among teens \u2014 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.\n\nOutput:\nLawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments. \nsocial media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.\nMeta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors. \nFacebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets. \nInstagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement. \nThreads | Company | Social media platform owned by Meta, contributing to the digital communication landscape. \nNov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. \ntech giants | Major Companies | Entities that hold substantial market power in the technology sector. \nGoogle | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution. \nApple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution. \nbigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company\u2019s operations, often resulting in resource strain or inefficiencies.\nApple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics. \nGoogle Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics. \nParental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage. \nThe Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.\nUser: On Dec. 28, former President Barack Obama revealed his annual year-end list of favorite books . Over the next few days, he also shared his favorite movies, TV shows and songs of 2019. \"While each of us has plenty that keeps us busy \u2014 work and family life, social and volunteer commitments \u2014 outlets like literature and art can enhance our day-to-day experiences,\" he wrote in a post on Instagram . \"They're the fabric that helps make up a life \u2014 the album that lifts us up after a long day, the dog-eared paperback we grab off the shelf to give to a friend, the movie that makes us think and feel in a new way, works that simply help us escape for a bit.\" Obama's movie list\nAssistant:"},{"assistant_initiates":false,"asst_text":"```json\n{\n \"excerpt\": \"Discover our high-quality IPTV platform with no buffering and catch-up TV, designed to enhance your viewing experience.\",\n \"introduction\": \"Welcome to the future of streaming with our high-quality IPTV platform. Enjoy seamless, no-buffering streams with catch-up TV that's always ready when you are.\",\n \"head1\": \"Premium IPTV Experience\",\n \"body\": \"

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\"\n}\n```","behavior":"degenerate_repetition","conversation_hash":"a922b05c4198a51722fb8cfa85b6c2be","conversation_redacted":false,"conversation_toxic":false,"country":"Indonesia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":7320,"n_turns_in_conversation":1,"n_words":1048,"source_row_offset":25871,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 01:53:19 GMT","turn_id":"90bc5ac5c2820d2885605654","turn_index":0,"user_text":"Context: making a product page in Iptv2live.com website! that sell IPTV subscriptions from differents IPTV Platforms.\nTask: Write a compelling product description for an IPTV offer with title: High-quality iptv platform No buffering with Catch-up TV, using best SEO practices for 2024. Follow the structure outlined below and ensure the description is optimized for search engines to help it rank highly on Google. The output must be in the following JSON format:\n{\n \"excerpt\": \"A concise summary mentioning the main keywords of the post title: High-quality iptv platform No buffering with Catch-up TV.\",\n \"introduction\": \"Introduction (1-2 sentences): Provide a brief introduction to the product, highlighting its main benefit and mentioning the keyword: High-quality iptv platform No buffering with Catch-up TV.\",\n \"head1\": \"Shorten my title:'High-quality iptv platform No buffering with Catch-up TV' using semantic keywords\".\n \"body\": \"5 paragraphs

\"\n}\nStructure:\nexcerpt: A concise summary mentioning the main keywords of the post title: High-quality iptv platform No buffering with Catch-up TV.\nintroduction: Provide a brief introduction to the product, highlighting its main benefit and mentioning the keyword: High-quality iptv platform No buffering with Catch-up TV.\nhead1: Shorten my title:'High-quality iptv platform No buffering with Catch-up TV' to 3 words max using semantic keywords.\nbody:\nensure to make the output in 5 paragraphs

with one h3 and one h4 that includes concise Description of the Key Features of the IPTV subscription from the famous IPTV provider platform named: DINO. which Includes: 9666 broadcast channels categories, like: UK NEWS, AR SSC SPORTS, AR SPORT FULL SD, AR BEIN SPORTS \u1d41\u1d34\u1d30, AR LIBYA, NA USA NHL, AM CANADA, AR EGYPT, EN 24/7 ENGLISH 4K, NA 24/7 ENGLISH, AS TURKEY DIGER, AR BEIN ENTERTAINMENT, NA USA NBCS, UK KIDS, NA TUDN SPORTS, UK EFL SOCCER, AR SPORT, GR \u0393\u03b5\u03bd\u03b9\u03ba\u03ac, AR SAOUDI, AS TURKEY REDBOX, and 24784 VOD Directories, VOD exemple: VOD NETFLIX MULTISUB, VOD\u00a0\u00a0\u0623\u0641\u0644\u0627\u0645\u00a0\u062c\u064a\u062a\u0644\u064a, VOD NETFLIX KIDS MULTISUB, VOD \u0623\u063a\u0627\u0646\u064a \u0637\u0631\u0628 \u0643\u0644\u0627\u0633\u064a\u0643, VOD NETFLIX HEVC MULTISUB, VOD \u0627\u0641\u0644\u0627\u0645 \u062c\u062f\u064a\u062f\u0629, VOD \u0623\u0641\u0644\u0627\u0645 \u0645\u063a\u0631\u0628\u064a\u0629, VOD \u0645\u0633\u0631\u062d\u064a\u0627\u062a \u0639\u0631\u0628\u064a\u0629, All, VOD RUSSIA RU, , IPTV subscription Expire on : 28/12/2024.\nSEO Tips:\nExplain the product in detail, focusing on its benefits, the IPTV provider platform name: DINO, usability, and the available streaming content. Include the keyword: High-quality iptv platform No buffering with Catch-up TV, naturally and use LSI/NLP related keywords to the post title.\nEnsure to include in the end of the body the first Call to Action NATURALLY in 1 paragraph, Encourage potential customers to take action, by using the discount code IPTV30SAVE at checkout for 30% off when purchasing our premium membership at https://Iptv2live.com/premium-membership and unlock all premium IPTV subscriptions simultaneously..\nEnsure to include after the end of the body the Second Call to Action NATURALLY in 1 paragraph, Encourage visitors to take action, by joining our Pintrest Page https://www.pinterest.com/IPTV_SMARTERS to get the latest trial IPTV codes.\nIncorporate the primary keyword: High-quality iptv platform No buffering with Catch-up TV, and related keywords naturally throughout the excerpt, introduction and body.\nUse HTML tags for better formatting and readability, such as
, , ,
    ,
  • , and

    in body.\nEnsure the use of a modern and stylish HTML design in the body display by using inline style = '', \nHighlight the body into a stylish and modern

    , \nClearly Mention and Highlight the platform name: DINO with stylish text decoration using inline style.\nHighlight the platform name: IPTV30SAVE at checkout for 30% off with stylish text decoration using inline style.\nHighlight the first CTA: by using the discount code IPTV30SAVE at checkout for 30% off when purchasing our premium membership at https://Iptv2live.com/premium-membership and unlock all premium IPTV subscriptions simultaneously. with a proper anchor texts into a new line centered HTML button tag. \nHighlight the second CTA: by joining our Pintrest Page https://www.pinterest.com/IPTV_SMARTERS to get the latest trial IPTV codes with a proper anchor text into a new line centered HTML button tag. \nAvoid keyword stuffing; focus on creating valuable, informative content for the reader.\nMake sure the product description is engaging, informative, and optimized for search engines while providing value to the reader.\nMake sure to never mention the word \"Call to Action\" in your response.\nFinally make sure that the output overall pass all AI test detection by using Humanized and natural Text writing style."},{"assistant_initiates":false,"asst_text":"CNBC Pro | Subscription Service | Premium financial news and analysis service providing exclusive content to subscribers. \nportfolio manager | Financial Role | An individual responsible for making investment decisions and managing investment portfolios on behalf of clients or institutions. \ninvestment universe | Financial Concept | The set of all potential investment opportunities that a portfolio manager may consider for inclusion in a portfolio. \nVincent Montemaggiore | Individual | Portfolio manager known for his role in managing the Fidelity Overseas Fund. \norganization | Financial Strategy | The process of structuring and organizing financial operations to enhance decision-making and efficiency. \nFidelity Overseas Fund | Investment Fund | A mutual fund managed by Fidelity Investments, focusing on international equities. \ninvestment journal | Tool | A record-keeping tool used by investors to document investment theses, performance, and strategy evaluations. \nstocks | Financial Assets | Equity securities representing ownership in a company and a claim on part of the company's assets and earnings. \nportfolio | Financial Collection | A collection of investments held by an individual or institution. \nwish list | Investment Strategy | A list of potential investment opportunities being monitored for future inclusion in a portfolio. \nMorningstar Foreign Large Growth category | Benchmark | Classification by Morningstar for funds that invest in large-cap non-U.S. companies expected to achieve high growth. \nMSCI EAFE | Index | A stock market index that measures the equity market performance of developed markets outside of the U.S. and Canada. \npandemic-sparked sell-off | Market Event | A significant decline in stock prices triggered by the economic uncertainties of the COVID-19 pandemic. \nindex | Financial Benchmark | A statistical measure, often a market index, representing the performance of a group of assets. ","behavior":"degenerate_repetition","conversation_hash":"a18abad1762fd9c36047a7ef1a633c70","conversation_redacted":false,"conversation_toxic":false,"country":"Vietnam","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":6246,"n_turns_in_conversation":1,"n_words":931,"source_row_offset":25872,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 01:53:25 GMT","turn_id":"6c861090d9dea85d7d23616f","turn_index":0,"user_text":"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.\n\nEnsure the following:\nLabel All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.\nDefine New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.\nProvide an Exhaustive Entity List: Include every relevant label mentioned in the input text.\n\nAnswer in the following format:\n | | ,\n | | ,\n...\n\nHere is an Example : \nInput: \nLawmakers continue to try to police social media use among teens \u2014 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.\n\nOutput:\nLawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments. \nsocial media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.\nMeta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors. \nFacebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets. \nInstagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement. \nThreads | Company | Social media platform owned by Meta, contributing to the digital communication landscape. \nNov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. \ntech giants | Major Companies | Entities that hold substantial market power in the technology sector. \nGoogle | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution. \nApple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution. \nbigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company\u2019s operations, often resulting in resource strain or inefficiencies.\nApple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics. \nGoogle Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics. \nParental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage. \nThe Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.\nUser: (This story is for CNBC Pro subscribers only). As a portfolio manager whose investment universe spans several oceans, Vincent Montemaggiore leans on organization to know when to make a move. Montemaggiore, who runs the Fidelity Overseas Fund , keeps an investment journal that spells out the thesis for each of the more than 130 stocks in his portfolio and a \"wish list\" of stocks that are just one or two changes away from being ready. That process has served him well over the long haul. The fund has beaten the Morningstar Foreign Large Growth category and its benchmark, the MSCI EAFE, since he took over in 2012. It has gained more than 4% so far this year, erasing its losses from the pandemic-sparked sell-off and beating the index,\nAssistant:"},{"assistant_initiates":false,"asst_text":"Certainly! Let's create a new pair of SQL queries based on your specifications.\n\n[ORIGINAL QUERY]\n```sql\nWITH sales_cte AS (\n SELECT\n ws_bill_customer_sk,\n ws_ship_hdemo_sk,\n ws_bill_addr_sk,\n SUM(ws_net_profit) AS total_profit,\n COUNT(*) AS sales_count\n FROM \n web_sales\n GROUP BY\n ws_bill_customer_sk,\n ws_ship_hdemo_sk,\n ws_bill_addr_sk\n),\nreturns_cte AS (\n SELECT\n sr_item_sk,\n sr_returned_date_sk,\n sr_addr_sk,\n SUM(sr_return_amt) AS total_returns,\n MIN(sr_return_amt) AS min_return\n FROM\n store_returns\n GROUP BY\n sr_item_sk,\n sr_returned_date_sk,\n sr_addr_sk\n)\nSELECT\n c.customer_id,\n ca.city,\n hd.income_band,\n CASE \n WHEN (SELECT AVG(total_profit) FROM sales_cte WHERE ws_bill_customer_sk = c_customer_sk) > 1000 \n THEN (SELECT min_return FROM returns_cte WHERE sr_addr_sk = ca_address_sk) \n ELSE total_returns END AS effective_return\nFROM \n customer c\nJOIN \n customer_address ca ON c.c_customer_sk = ca.ca_customer_sk\nJOIN \n household_demographics hd ON ws_ship_hdemo_sk = hd.hd_demo_sk\nJOIN \n sales_cte sc ON sc.ws_bill_customer_sk = c.c_customer_sk\nJOIN \n returns_cte rc ON rc.sr_addr_sk = ca.ca_address_sk\nWHERE \n sc.sales_count > 10;\n```\n\n[REWRITTEN QUERY]\n```sql\nWITH combined_data AS (\n SELECT\n c.c_customer_sk AS customer_id,\n ca.city,\n hd.income_band,\n SUM(ws_net_profit) AS total_profit,\n SUM(sr_return_amt) AS total_returns,\n MIN(sr_return_amt) AS min_return,\n COUNT(*) AS sales_count\n FROM\n web_sales ws\n JOIN\n store_returns sr ON sr.sr_addr_sk = ws.ws_bill_addr_sk\n JOIN\n customer c ON c.c_customer_sk = ws.ws_bill_customer_sk\n JOIN\n customer_address ca ON ca.ca_address_sk = ws.ws_bill_addr_sk\n JOIN\n household_demographics hd ON ws.ws_ship_hdemo_sk = hd.hd_demo_sk\n GROUP BY\n c.c_customer_sk,\n ca.city,\n hd.income_band\n)\nSELECT\n customer_id,\n city,\n income_band,\n CASE \n WHEN avg(total_profit) OVER () > 1000\n THEN min_return \n ELSE total_returns \n END AS effective_return\nFROM \n combined_data\nWHERE \n sales_count > 10;\n```\n\n### Explanation:\n\n1. **Original Query**:\n - Two CTEs (`sales_cte` and `returns_cte`) are setup to handle aggregation from `web_sales` and `store_returns`.\n - Employs aggregation functions SUM and MIN, uses a subquery to calculate an average in the `SELECT` statement, and involves multiple joins.\n\n2. **Rewritten Query**:\n - Merges the logic of both CTEs into a single `combined_data` based on common fields.\n - Calculates `total_profit`, `total_returns`, and `min_return` in a single aggregation step, and uses a window function to calculate the average across the total profit directly within the query.\n - Restructures the logic into one streamlined process to improve performance by minimizing subquery calculations and redundant aggregations. \n\nThis optimized version improves efficiency and maintainability, reducing the number of separate calculations while ensuring the outcome remains equivalent to the original query.","behavior":"degenerate_repetition","conversation_hash":"a00d4d1810b57c51bd36b06f27130f9d","conversation_redacted":false,"conversation_toxic":false,"country":"","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":7630,"n_turns_in_conversation":1,"n_words":954,"source_row_offset":25873,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 01:53:28 GMT","turn_id":"67da9973e0ad5a3975773169","turn_index":0,"user_text":"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.\n\n[ORIGINAL QUERY]```select case when (select count(*) from store_sales where ss_quantity between 1 and 20) > 1071 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 1 and 20) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 1 and 20) end bucket1,case when (select count(*) from store_sales where ss_quantity between 21 and 40) > 39161 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 21 and 40) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 21 and 40) end bucket2,case when (select count(*) from store_sales where ss_quantity between 41 and 60) > 29434 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 41 and 60) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 41 and 60) end bucket3,case when (select count(*) from store_sales where ss_quantity between 61 and 80) > 6568 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 61 and 80) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 61 and 80) end bucket4,case when (select count(*) from store_sales where ss_quantity between 81 and 100) > 21216 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 81 and 100) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 81 and 100) end bucket5 from reason where r_reason_sk = 1 ;```\n\n[REWRITTEN QUERY]```WITH bucket AS ( SELECT CASE WHEN ss_quantity BETWEEN 1 AND 20 THEN 1 WHEN ss_quantity BETWEEN 21 AND 40 THEN 2 WHEN ss_quantity BETWEEN 41 AND 60 THEN 3 WHEN ss_quantity BETWEEN 61 AND 80 THEN 4 WHEN ss_quantity BETWEEN 81 AND 100 THEN 5 END AS quantity_range, COUNT(*) AS cnt, AVG(ss_ext_tax) AS avg_ext_tax, AVG(ss_net_paid_inc_tax) AS avg_net_paid_inc_tax FROM store_sales GROUP BY CASE WHEN ss_quantity BETWEEN 1 AND 20 THEN 1 WHEN ss_quantity BETWEEN 21 AND 40 THEN 2 WHEN ss_quantity BETWEEN 41 AND 60 THEN 3 WHEN ss_quantity BETWEEN 61 AND 80 THEN 4 WHEN ss_quantity BETWEEN 81 AND 100 THEN 5 END ) SELECT CASE WHEN b1.cnt > 1071 THEN b1.avg_ext_tax ELSE b1.avg_net_paid_inc_tax END AS bucket1, CASE WHEN b2.cnt > 39161 THEN b2.avg_ext_tax ELSE b2.avg_net_paid_inc_tax END AS bucket2, CASE WHEN b3.cnt > 29434 THEN b3.avg_ext_tax ELSE b3.avg_net_paid_inc_tax END AS bucket3, CASE WHEN b4.cnt > 6568 THEN b4.avg_ext_tax ELSE b4.avg_net_paid_inc_tax END AS bucket4, CASE WHEN b5.cnt > 21216 THEN b5.avg_ext_tax ELSE b5.avg_net_paid_inc_tax END AS bucket5 FROM (SELECT * FROM bucket WHERE quantity_range = 1) b1, (SELECT * FROM bucket WHERE quantity_range = 2) b2, (SELECT * FROM bucket WHERE quantity_range = 3) b3, (SELECT * FROM bucket WHERE quantity_range = 4) b4, (SELECT * FROM bucket WHERE quantity_range = 5) b5, reason WHERE r_reason_sk = 1;```\n\nNow, 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:\n1. The original query must contain CTEs.\n2. The original query must make use of the following fact tables: ['web_sales', 'store_returns']. Below is the join graph for these fact tables:\n ['web_sales(ws_bill_customer_sk) references customer(c_customer_sk);', 'web_sales(ws_ship_hdemo_sk) references household_demographics(hd_demo_sk);', 'web_sales(ws_bill_addr_sk) references customer_address(ca_address_sk);']\n ['store_returns(sr_item_sk) references item(i_item_sk);', 'store_returns(sr_returned_date_sk) references date_dim(d_date_sk);', 'store_returns(sr_addr_sk) references customer_address(ca_address_sk);']\n5. The original query must employ 4 joins.\n6. The original query must employ the following aggregate functions: ['sum', 'min'].\n7. The original query must employ the following operators in its WHERE clause: ['avg'].\n8. 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 ```."},{"assistant_initiates":false,"asst_text":"[\u0412\u043e\u043f\u0440\u043e\u0441] \u041c\u043d\u043e\u0433\u043e\u043e\u043a\u043e\u043d\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 [/\u0412\u043e\u043f\u0440\u043e\u0441]\n[\u041e\u0442\u0432\u0435\u0442] \n\u041c\u043d\u043e\u0433\u043e\u043e\u043a\u043e\u043d\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u0432 \"1\u0421:\u0411\u0443\u0445\u0433\u0430\u043b\u0442\u0435\u0440\u0438\u044f 8\" (\u0440\u0435\u0434. 3.0) \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044e \u043e\u0434\u043d\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043e\u043a\u043d\u0430\u043c\u0438 \u043d\u0430 \u043e\u0434\u043d\u043e\u043c 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release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":5582,"n_turns_in_conversation":1,"n_words":750,"source_row_offset":25874,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 01:53:31 GMT","turn_id":"580a727d008a2ba55331c0eb","turn_index":0,"user_text":"\u0417\u0430\u043f\u0440\u043e\u0441:\n\u0412\u044b\u0434\u0435\u043b\u0438 \u0438\u0437 \u043f\u0435\u0440\u0435\u0434\u0430\u043d\u043d\u043e\u0433\u043e \u0442\u0435\u043a\u0441\u0442\u0430 \u0441\u0442\u0430\u0442\u044c\u0438 \u0442\u0435\u0440\u043c\u0438\u043d\u044b \u0438 \u0438\u0445 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044f.\n\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439 \u0442\u043e\u043b\u044c\u043a\u043e \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u0438\u0437 \u0442\u0435\u043a\u0441\u0442\u0430 \u0441\u0442\u0430\u0442\u044c\u0438.\n\n\u0422\u0435\u0440\u043c\u0438\u043d\u044b \u043d\u0435 \u0434\u043e\u043b\u0436\u043d\u044b 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\u043e\u043a\u043d\u043e.\n\u0420\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0438\u043c \u0434\u0432\u0430 \u043d\u0435\u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u043f\u0440\u0438\u043c\u0435\u0440\u0430.\n\n\u041f\u0440\u0438\u043c\u0435\u0440 1. \u041a\u0430\u043a \u0432\u044b\u0432\u0435\u0441\u0442\u0438 \u043d\u0430 \u044d\u043a\u0440\u0430\u043d \u043e\u0434\u043d\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e \u0432 \u0434\u0432\u0443\u0445 \u043e\u043a\u043d\u0430\u0445 \u0441\u043f\u0438\u0441\u043e\u043a \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u0438\n\u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0439 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442:\n 1. \u041e\u0442\u043a\u0440\u043e\u0439\u0442\u0435 \u043b\u044e\u0431\u043e\u0439 \u0441\u043f\u0438\u0441\u043e\u043a \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u0432 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0435 (\u0432 \u043f\u0440\u0438\u043c\u0435\u0440\u0435: \u041f\u0440\u043e\u0434\u0430\u0436\u0438 \u2013 \u0421\u0447\u0435\u0442\u0430 \u043f\u043e\u043a\u0443\u043f\u0430\u0442\u0435\u043b\u044f\u043c).\n 2. \u0412 \"\u041f\u0430\u043d\u0435\u043b\u0438 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0445\" \u0449\u0435\u043b\u043a\u043d\u0438\u0442\u0435 \u043f\u0440\u0430\u0432\u043e\u0439 \u043a\u043b\u0430\u0432\u0438\u0448\u0435\u0439 \u043c\u044b\u0448\u0438 \u043d\u0430 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0438 \u043e\u043a\u043d\u0430 \"\u0421\u0447\u0435\u0442\u0430 \u043f\u043e\u043a\u0443\u043f\u0430\u0442\u0435\u043b\u044f\u043c\", \u0432\u044b\u0431\u0435\u0440\u0438\u0442\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u0443 \"\u0417\u0430\u043a\u0440\u0435\u043f\u0438\u0442\u044c\" \u0438 \u043e\u0431\u043b\u0430\u0441\u0442\u044c \u0437\u0430\u043a\u0440\u0435\u043f\u043b\u0435\u043d\u0438\u044f (\u0432 \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u2013 \"\u0417\u0430\u043a\u0440\u0435\u043f\u0438\u0442\u044c \u0441\u043b\u0435\u0432\u0430\") . \n 3. \u041f\u043e\u0441\u043b\u0435 \u0437\u0430\u043a\u0440\u0435\u043f\u043b\u0435\u043d\u0438\u044f \u043e\u043a\u043d\u0430 \u0435\u0433\u043e \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u0432 \"\u041f\u0430\u043d\u0435\u043b\u0438 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0445\" \u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f \u043d\u0430 \u0437\u043d\u0430\u0447\u043e\u043a \u0432 \u0432\u0438\u0434\u0435 \u043a\u0430\u043d\u0446\u0435\u043b\u044f\u0440\u0441\u043a\u043e\u0439 \u043a\u043d\u043e\u043f\u043a\u0438 . \n 4. \u041e\u0442\u043a\u0440\u043e\u0439\u0442\u0435 \u0434\u0432\u043e\u0439\u043d\u044b\u043c \u0449\u0435\u043b\u0447\u043a\u043e\u043c \u043c\u044b\u0448\u0438 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442 \u0438\u0437 \u0441\u043f\u0438\u0441\u043a\u0430 \u0432 \u043e\u043a\u043d\u0435 \u0441\u043b\u0435\u0432\u0430, \u043e\u043d \u043e\u0442\u043e\u0431\u0440\u0430\u0437\u0438\u0442\u0441\u044f \u0432 \u043e\u043a\u043d\u0435 \u0441\u043f\u0440\u0430\u0432\u0430, \u0431\u0435\u0437 \u043f\u0435\u0440\u0435\u043a\u0440\u044b\u0442\u0438\u044f \u043b\u0435\u0432\u043e\u0433\u043e \u043e\u043a\u043d\u0430 . \n 5. \u0427\u0442\u043e\u0431\u044b \u0443\u0431\u0440\u0430\u0442\u044c \u0437\u0430\u043a\u0440\u0435\u043f\u043b\u0435\u043d\u043d\u043e\u0435 \u043e\u043a\u043d\u043e, \u043f\u0440\u043e\u0441\u0442\u043e \u0437\u0430\u043a\u0440\u043e\u0439\u0442\u0435 \u0435\u0433\u043e. \u0415\u0441\u043b\u0438 \u043d\u0443\u0436\u043d\u043e \u043e\u0441\u0442\u0430\u0432\u0438\u0442\u044c \u0435\u0433\u043e \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u043c, \u0442\u043e \u0432 \"\u041f\u0430\u043d\u0435\u043b\u0438 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0445\" \u043f\u0440\u0430\u0432\u043e\u0439 \u043a\u043b\u0430\u0432\u0438\u0448\u0435\u0439 \u043c\u044b\u0448\u0438 \u043d\u0430 \u0437\u043d\u0430\u0447\u043a\u0435 \u0432 \u0432\u0438\u0434\u0435 \u043a\u0430\u043d\u0446\u0435\u043b\u044f\u0440\u0441\u043a\u043e\u0439 \u043a\u043d\u043e\u043f\u043a\u0438 \u0432\u044b\u0431\u0435\u0440\u0438\u0442\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u0443 \"\u041e\u0442\u043a\u0440\u0435\u043f\u0438\u0442\u044c/\u0440\u0430\u0437\u044a\u0435\u0434\u0438\u043d\u0438\u0442\u044c\".\n\n\u041f\u0440\u0438\u043c\u0435\u0440 2. \u041a\u0430\u043a \u0432\u044b\u0432\u0435\u0441\u0442\u0438 \u043d\u0430 \u044d\u043a\u0440\u0430\u043d \u043e\u0434\u043d\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e \u0432 \u0434\u0432\u0443\u0445 \u043e\u043a\u043d\u0430\u0445 \u0441\u043f\u0438\u0441\u043a\u0438 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u043f\u043e\n\u0434\u0432\u0443\u043c \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u044f\u043c \u0438\u043b\u0438 \u043f\u043e \u0434\u0432\u0443\u043c \u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442\u0430\u043c :\n 1. \u041e\u0442\u043a\u0440\u043e\u0439\u0442\u0435 \u043b\u044e\u0431\u043e\u0439 \u0441\u043f\u0438\u0441\u043e\u043a \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u043e\u0432 (\u0432 \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u041f\u0440\u043e\u0434\u0430\u0436\u0438 \u2013 \u0421\u0447\u0435\u0442\u0430 \u043f\u043e\u043a\u0443\u043f\u0430\u0442\u0435\u043b\u044f\u043c).\n 2. \u0417\u0430\u043a\u0440\u0435\u043f\u0438\u0442\u0435 \u043e\u043a\u043d\u043e \u0441\u043e \u0441\u043f\u0438\u0441\u043a\u043e\u043c \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u043e\u0432, \u043a\u0430\u043a \u044d\u0442\u043e \u0431\u044b\u043b\u043e \u0440\u0430\u0441\u0441\u043a\u0430\u0437\u0430\u043d\u043e \u0432\u044b\u0448\u0435 \u0432 \u043f\u0435\u0440\u0432\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435. \n 3. \u0415\u0449\u0435 \u0440\u0430\u0437 \u043f\u0435\u0440\u0435\u0439\u0434\u0438\u0442\u0435 \u0432 \u0442\u043e\u0442 \u0436\u0435 \u0440\u0430\u0437\u0434\u0435\u043b (\u0432 \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u2013 \u041f\u0440\u043e\u0434\u0430\u0436\u0438) \u0438 \u043e\u0442\u043a\u0440\u043e\u0439\u0442\u0435 \u043d\u043e\u0432\u043e\u0435 \u043e\u043a\u043d\u043e \u0441 \u0442\u0435\u043c \u0436\u0435 \u0441\u043f\u0438\u0441\u043a\u043e\u043c \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u043e\u0432 (\u043f\u0440\u0430\u0432\u043e\u0439 \u043a\u043b\u0430\u0432\u0438\u0448\u0435\u0439 \u043c\u044b\u0448\u0438 \u043d\u0430 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0438 \u0441\u043f\u0438\u0441\u043a\u0430 (\u0432 \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u2013 \u0421\u0447\u0435\u0442\u0430 \u043f\u043e\u043a\u0443\u043f\u0430\u0442\u0435\u043b\u044f\u043c) \u0432\u044b\u0431\u0435\u0440\u0438\u0442\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u0443 \"\u041e\u0442\u043a\u0440\u044b\u0442\u044c \u043d\u043e\u0432\u043e\u0435\"). \n 4. \u0412 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0435 \u043d\u0430 \u044d\u043a\u0440\u0430\u043d\u0435 \u0431\u0443\u0434\u0443\u0442 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0442\u044c\u0441\u044f \u0434\u0432\u0430 \u043e\u043a\u043d\u0430 \u0441\u043e \u0441\u043f\u0438\u0441\u043a\u043e\u043c \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u043e\u0432 (\u0432 \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u2013 \"\u0421\u0447\u0435\u0442\u0430 \u043f\u043e\u043a\u0443\u043f\u0430\u0442\u0435\u043b\u044f\u043c\"). \u0412 \u043f\u043e\u043b\u0435 \"\u041e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u044f\" \u0432 \u043a\u0430\u0436\u0434\u043e\u043c \u0438\u0437 \u0441\u043f\u0438\u0441\u043a\u043e\u0432 \u0432\u044b\u0431\u0435\u0440\u0438\u0442\u0435 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u044b\u0435 \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u0438. \u0422\u0430\u043a\u0438\u043c \u0436\u0435 \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u043c\u043e\u0436\u043d\u043e \u043e\u0442\u043e\u0431\u0440\u0430\u0442\u044c \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u044b \u0432 \u0441\u043f\u0438\u0441\u043a\u0430\u0445 \u043f\u043e \u0434\u0432\u0443\u043c \u0440\u0430\u0437\u043d\u044b\u043c \u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442\u0430\u043c (\u0444\u043b\u0430\u0436\u043e\u043a \"\u041a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442\" \u0438 \u043f\u043e\u043b\u0435 \u0434\u043b\u044f \u0432\u044b\u0431\u043e\u0440\u0430 \u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442\u0430).\n"},{"assistant_initiates":false,"asst_text":"G4S | Company | British security services company that provides ATM stocking, prison management, and airport protection.\nBritish | Nationality Descriptor | Pertaining to the United Kingdom, relevant in the context of identifying the origin of companies or groups.\nATMs | Financial Infrastructure | Automated Teller Machines used for banking transactions, relevant in consumer banking and financial operations.\nprisons | Public Infrastructure | Facilities for incarceration, often operated by private or public groups, impacting public sector operations.\nairports | Transportation Infrastructure | Facilities for air travel, requiring security management, relevant to transport and logistics sectors.\nexpectations | Market Anticipation | Anticipated performance or results in financial markets, often based on analyst forecasts.\n5 percent rise | Financial Metric | An increase in a financial metric, indicating growth or improvement.\nfirst-half adjusted operating profit | Financial Metric | Profit measure accounting for specific adjustments, used to assess a company\u2019s operational success over a period.\nproductivity improvements | Operational Strategy | Enhancements in efficiency and output, impacting company performance.\nsecond half | Time Period | The latter half of a fiscal year, relevant for financial reporting and projections.\nsecurity group | Industry Descriptor | Classification of a company within the security services sector.\nprofit | Financial Metric | Indicator of financial gain, calculated as revenue minus expenses.\n193 million pounds | Financial Figure | Specific profit amount indicating financial performance.\n($300.50 million) | Financial Figure | Equivalent profit amount in a different currency for broader contextual understanding.\nanalyst consensus | Market Expectation | General agreement among financial analysts on expected company performance, influencing investor perceptions.\n194 million pounds | Financial Figure | Benchmark profit amount anticipated by analysts for comparison.\nrevenue | Financial Metric | Total income generated from operations, key for assessing company scale and market presence.\ncontinuing operations | Business Segment | Ongoing parts of a business, distinct from divested or discontinued segments.\n3.3 billion pounds | Financial Figure | Total revenue amount indicating the scale of a company\u2019s operations.\n2.8 percent | Financial Metric | Percentage of growth or change in a financial measure, often used for performance analysis.\nslightly undershooting forecasts | Performance Descriptor | Failing to meet expected performance targets by a small margin.","behavior":"degenerate_repetition","conversation_hash":"69135353d48f91ad349259d891ed6e65","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":6663,"n_turns_in_conversation":1,"n_words":962,"source_row_offset":25875,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 01:53:33 GMT","turn_id":"7f196937caafeed59aa7f815","turn_index":0,"user_text":"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.\n\nEnsure the following:\nLabel All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.\nDefine New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.\nProvide an Exhaustive Entity List: Include every relevant label mentioned in the input text.\n\nAnswer in the following format:\n | | ,\n | | ,\n...\n\nHere is an Example : \nInput: \nLawmakers continue to try to police social media use among teens \u2014 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.\n\nOutput:\nLawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments. \nsocial media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.\nMeta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors. \nFacebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets. \nInstagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement. \nThreads | Company | Social media platform owned by Meta, contributing to the digital communication landscape. \nNov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. \ntech giants | Major Companies | Entities that hold substantial market power in the technology sector. \nGoogle | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution. \nApple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution. \nbigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company\u2019s operations, often resulting in resource strain or inefficiencies.\nApple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics. \nGoogle Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics. \nParental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage. \nThe Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.\nUser: G4S , the British group that stocks ATMs, runs prisons and protects airports, met expectations with a 5 percent rise in first-half adjusted operating profit, and said productivity improvements would continue to feed through in the second half. The security group posted profit of 193 million pounds ($300.50 million), broadly in line with analyst consensus of 194 million pounds, on revenue from continuing operations of 3.3 billion pounds, up 2.8 percent but slightly undershooting forecasts.\nAssistant:"},{"assistant_initiates":false,"asst_text":"Stocks | Financial Instrument | Shares representing ownership in a corporation, tradable in financial markets. \nTuesday | Date | Specific day relevant for tracking market movements and financial disclosures. \ntech shares | Sector Stocks | Stocks belonging to technology companies, often influential in market trends due to innovation and growth potential. \ntraders | Market Participants | Individuals or entities that engage in the buying and selling of financial instruments, impacting market dynamics. \nWall Street | Financial Center | A metonym for the financial markets of the United States, also representing key financial institutions and activities in New York City. \nAugust | Month | A period relevant in financial analysis for assessing market patterns and performances. \nDow Jones Industrial Average | Stock Index | An index measuring the stock performance of 30 large companies listed on stock exchanges in the United States, indicating market trends. \npoints | Index Movement | A unit of measurement indicating changes in a stock index, reflecting market performance. \nS&P 500 | Stock Index | An index comprising 500 major companies in the U.S. stock market, used as an indicator of overall market performance. \nNasdaq Composite | Stock Index | A stock market index that includes almost all stocks listed on the Nasdaq stock exchange, often reflecting technology sector performance. \nall-time highs | Market Benchmark | The highest historical level reached by a financial index or stock, often viewed as a significant achievement. \nApple | Company | A leading technology company, significant in consumer electronics and software markets, impacting the tech sector and stock indices. \nWall Street analysts | Market Analysts | Experts who study financial markets and stocks, providing insights and predictions influencing investor decisions. \nprice targets | Financial Forecast | Projected stock price levels set by analysts based on expected future performance, impacting investor behavior. \ntech giant | Company Descriptor | A term referring to large, influential technology companies with substantial market presence. \nstock split | Corporate Action | A decision by a company to divide its existing shares into multiple shares, often making the stock more affordable to investors. \ninvestors | Market Participants | Individuals or entities that allocate capital with the expectation of future financial returns. \nWalmart | Company | A leading multinational retail corporation, significant in the consumer goods market and economic activity.","behavior":"degenerate_repetition","conversation_hash":"53d97ca51c902c1d0c14c90398668355","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":6831,"n_turns_in_conversation":1,"n_words":1029,"source_row_offset":25876,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 01:53:36 GMT","turn_id":"875d95e70c84cbed874799f8","turn_index":0,"user_text":"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.\n\nEnsure the following:\nLabel All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.\nDefine New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.\nProvide an Exhaustive Entity List: Include every relevant label mentioned in the input text.\n\nAnswer in the following format:\n | | ,\n | | ,\n...\n\nHere is an Example : \nInput: \nLawmakers continue to try to police social media use among teens \u2014 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.\n\nOutput:\nLawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments. \nsocial media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.\nMeta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors. \nFacebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets. \nInstagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement. \nThreads | Company | Social media platform owned by Meta, contributing to the digital communication landscape. \nNov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. \ntech giants | Major Companies | Entities that hold substantial market power in the technology sector. \nGoogle | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution. \nApple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution. \nbigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company\u2019s operations, often resulting in resource strain or inefficiencies.\nApple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics. \nGoogle Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics. \nParental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage. \nThe Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.\nUser: Stocks rose on Tuesday , led by tech shares, as traders kicked off a historically tough month for the market on the right foot and built on Wall Street's best August performance since the 1980s. The Dow Jones Industrial Average gained 215.61 points, or 0.8%, to close at 28,645.66. The S&P 500 climbed 0.8% to 3,526.65 and the Nasdaq Composite advanced 1.4% to 11,939.67. Both the S&P 500 and Nasdaq hit all-time highs. Apple led the gains in tech, rising 4%. The stock got a boost as several Wall Street analysts hiked their price targets on the tech giant . That gain came a day after the stock rose more than 3% following a stock split that appears to be causing investors to snap up the shares. Walmart\nAssistant:"},{"assistant_initiates":false,"asst_text":"CNBC Sport Newsletter | Media Product | Subscription-based sports news publication by CNBC, potentially impacting reader engagement and information dissemination in sports finance.\nAustralian women's soccer team | Sports Team | National women's soccer team of Australia, relevant to sports industry dynamics and gender pay disparity discussions.\npay dispute | Labor Dispute | Conflict surrounding compensation and employment terms, significant for labor relations and economic equity concerns.\nMatildas | Sports Team Nickname | Nickname for the Australian women's soccer team, central to their brand identity and public perception.\ntour to the U.S. | International Event | Planned sports tour, relevant to international sports marketing and economic impact studies.\nSocceroos | Sports Team | National men's soccer team of Australia, relevant for comparisons in financial compensation and performance metrics.\nWomen's World Cup final | Sporting Event | Culminating match in the Women's World Cup, significant for attendance and viewership metrics in sports economics.\nLaura Alleway | Athlete | Player for the Australian women's soccer team, significant as a representative voice in the compensation dispute.\nminimum wage levels | Economic Benchmark | Legal wage standard, relevant for discussions on fair compensation and labor economics.","behavior":"degenerate_repetition","conversation_hash":"63e37a339d4b03686cb6b13d5dcd685b","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":5631,"n_turns_in_conversation":1,"n_words":840,"source_row_offset":25877,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 01:53:36 GMT","turn_id":"74b933fbbbd13bc666955c9a","turn_index":0,"user_text":"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.\n\nEnsure the following:\nLabel All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.\nDefine New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.\nProvide an Exhaustive Entity List: Include every relevant label mentioned in the input text.\n\nAnswer in the following format:\n | | ,\n | | ,\n...\n\nHere is an Example : \nInput: \nLawmakers continue to try to police social media use among teens \u2014 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.\n\nOutput:\nLawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments. \nsocial media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.\nMeta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors. \nFacebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets. \nInstagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement. \nThreads | Company | Social media platform owned by Meta, contributing to the digital communication landscape. \nNov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. \ntech giants | Major Companies | Entities that hold substantial market power in the technology sector. \nGoogle | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution. \nApple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution. \nbigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company\u2019s operations, often resulting in resource strain or inefficiencies.\nApple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics. \nGoogle Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics. \nParental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage. \nThe Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.\nUser: Sign up today for the new CNBC Sport Newsletter They thrilled the nation during this summer's soccer World Cup but the Australian women's soccer team have this week hung up their kit over a pay dispute. The team, nicknamed the Matildas, have boycotted a tour to the U.S. in revolt over their pay and conditions, which are a fraction of those enjoyed by their male counterparts, the Socceroos, who they consistently outperform in global competitions. Read More Women's World Cup final was most-watched soccer game in US history \"We are paid a base rate of A$21,000 ($14,894), which doesn't even reach minimum wage levels,\" said Laura Alleway, a Matildas' defender. \"I am 25 years old and can't move out of home because I want to play for my\nAssistant:"},{"assistant_initiates":false,"asst_text":"Here's a pair of queries adhering to the constraints with a similar rewrite pattern as shown in the example:\n\n[ORIGINAL QUERY]\n```sql\nSELECT \n CASE WHEN (SELECT MIN(i_current_price) FROM inventory WHERE inv_quantity_on_hand <= 10) > 100 THEN (SELECT SUM(cr_refunded_cash) FROM catalog_returns WHERE cr_returned_date_sk = 2450814) ELSE (SELECT AVG(cr_refunded_cash) FROM catalog_returns WHERE cr_returned_date_sk = 2450814) END AS refund_analysis\nFROM warehouse \nWHERE w_warehouse_sk = 1;\n```\n\n[REWRITTEN QUERY]\n```sql\nWITH inventory_min_price AS (\n SELECT \n MIN(i_current_price) AS min_price\n FROM \n inventory\n WHERE \n inv_quantity_on_hand <= 10\n),\nreturns_analysis AS (\n SELECT \n SUM(cr_refunded_cash) AS sum_refunded_cash, \n AVG(cr_refunded_cash) AS avg_refunded_cash\n FROM \n catalog_returns\n WHERE \n cr_returned_date_sk = 2450814\n)\nSELECT \n CASE WHEN inv.min_price > 100 THEN ret.sum_refunded_cash ELSE ret.avg_refunded_cash END AS refund_analysis\nFROM \n inventory_min_price inv,\n returns_analysis ret,\n warehouse\nWHERE \n w_warehouse_sk = 1;\n```\n\n### Explanation:\n\n- **Original Query**: It queries the minimum current price from the `inventory` where `inv_quantity_on_hand <= 10` and makes a decision to aggregate data from `catalog_returns` based on that minimum price. It joins or accesses the `warehouse` table solely for filtering based on `w_warehouse_sk`. The min function is used in the subquery within the CASE statement.\n\n- **Rewritten Query**: Similar to the transformation shown in the example, use of Common Table Expressions (CTEs) to gather the `MIN` price and aggregated sum and average in separate CTEs. The final SELECT statement then uses the results from these CTEs as it joins these precomputed results with `warehouse`.\n\nThis transformation reduces the number of times the `catalog_returns` and `inventory` tables are scanned, improving performance by doing aggregation once in CTEs before the main query logic.","behavior":"degenerate_repetition","conversation_hash":"31b70ad73d2c2fbeb1201bfd2a998eb1","conversation_redacted":false,"conversation_toxic":false,"country":"","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":6319,"n_turns_in_conversation":1,"n_words":858,"source_row_offset":25878,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 01:53:37 GMT","turn_id":"e8218dd5ca9d5f2d38a2ed86","turn_index":0,"user_text":"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.\n\n[ORIGINAL QUERY]```select case when (select count(*) from store_sales where ss_quantity between 1 and 20) > 1071 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 1 and 20) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 1 and 20) end bucket1,case when (select count(*) from store_sales where ss_quantity between 21 and 40) > 39161 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 21 and 40) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 21 and 40) end bucket2,case when (select count(*) from store_sales where ss_quantity between 41 and 60) > 29434 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 41 and 60) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 41 and 60) end bucket3,case when (select count(*) from store_sales where ss_quantity between 61 and 80) > 6568 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 61 and 80) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 61 and 80) end bucket4,case when (select count(*) from store_sales where ss_quantity between 81 and 100) > 21216 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 81 and 100) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 81 and 100) end bucket5 from reason where r_reason_sk = 1 ;```\n\n[REWRITTEN QUERY]```WITH bucket AS ( SELECT CASE WHEN ss_quantity BETWEEN 1 AND 20 THEN 1 WHEN ss_quantity BETWEEN 21 AND 40 THEN 2 WHEN ss_quantity BETWEEN 41 AND 60 THEN 3 WHEN ss_quantity BETWEEN 61 AND 80 THEN 4 WHEN ss_quantity BETWEEN 81 AND 100 THEN 5 END AS quantity_range, COUNT(*) AS cnt, AVG(ss_ext_tax) AS avg_ext_tax, AVG(ss_net_paid_inc_tax) AS avg_net_paid_inc_tax FROM store_sales GROUP BY CASE WHEN ss_quantity BETWEEN 1 AND 20 THEN 1 WHEN ss_quantity BETWEEN 21 AND 40 THEN 2 WHEN ss_quantity BETWEEN 41 AND 60 THEN 3 WHEN ss_quantity BETWEEN 61 AND 80 THEN 4 WHEN ss_quantity BETWEEN 81 AND 100 THEN 5 END ) SELECT CASE WHEN b1.cnt > 1071 THEN b1.avg_ext_tax ELSE b1.avg_net_paid_inc_tax END AS bucket1, CASE WHEN b2.cnt > 39161 THEN b2.avg_ext_tax ELSE b2.avg_net_paid_inc_tax END AS bucket2, CASE WHEN b3.cnt > 29434 THEN b3.avg_ext_tax ELSE b3.avg_net_paid_inc_tax END AS bucket3, CASE WHEN b4.cnt > 6568 THEN b4.avg_ext_tax ELSE b4.avg_net_paid_inc_tax END AS bucket4, CASE WHEN b5.cnt > 21216 THEN b5.avg_ext_tax ELSE b5.avg_net_paid_inc_tax END AS bucket5 FROM (SELECT * FROM bucket WHERE quantity_range = 1) b1, (SELECT * FROM bucket WHERE quantity_range = 2) b2, (SELECT * FROM bucket WHERE quantity_range = 3) b3, (SELECT * FROM bucket WHERE quantity_range = 4) b4, (SELECT * FROM bucket WHERE quantity_range = 5) b5, reason WHERE r_reason_sk = 1;```\n\nNow, 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:\n1. The original query must not have any CTEs.\n2. The original query must make use of the following fact tables: ['inventory', 'catalog_returns']. Below is the join graph for these fact tables:\n ['inventory(inv_warehouse_sk) references warehouse(w_warehouse_sk);', 'inventory(inv_item_sk) references item(i_item_sk);', 'inventory(inv_date_sk) references date_dim(d_date_sk);']\n ['catalog_returns(cr_ship_mode_sk) references ship_mode(sm_ship_mode_sk);', 'catalog_returns(cr_warehouse_sk) references warehouse(w_warehouse_sk);', 'catalog_returns(cr_refunded_hdemo_sk) references household_demographics(hd_demo_sk);']\n5. The original query must employ 1 joins.\n6. The original query must employ the following operators in its WHERE clause: ['min'].\n7. 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 ```."},{"assistant_initiates":false,"asst_text":"Stocks | Financial Instrument | Tradable equity securities representing ownership in a corporation, significant for market analysis.\nTuesday | Date | Specific day of the week, relevant for marking timeframes in market movements and financial reporting.\ntech shares | Sector | Stocks of companies in the technology sector, notable for their influence on market movements and investor sentiment.\ntraders | Market Participants | Individuals or entities engaged in buying and selling securities in financial markets.\nmarket | Economic System | The financial exchange environment where trading of securities occurs, subject to various economic forces.\nWall Street | Financial District | A symbolic name for the U.S. financial markets and investment community, influential in global finance.\nAugust performance | Temporal Performance Metric | Evaluation of market activity and trends within the month of August, used for historical comparison.\n1980s | Historical Time Period | A decade used as a benchmark for comparing current market performance to past trends.\nDow Jones Industrial Average | Stock Index | A stock market index that represents 30 major publicly-traded companies in the U.S. economy.\nThe S&P 500 | Stock Index | A market index comprising 500 large-cap U.S. companies, indicative of overall market performance.\nNasdaq Composite | Stock Index | A market index representing over 3,000 stocks listed on the Nasdaq exchange, with a focus on technology companies.\nall-time highs | Market Milestone | The highest level reached by an index or stock, indicating record-breaking performance.\nApple | Company | A leading technology company known for its consumer electronics and software, significant in equity markets.\nWall Street analysts | Financial Analysts | Professionals assessing financial securities and markets, influential in shaping investor expectations.\nprice targets | Financial Forecast | Analyst projections of future stock prices, impacting investor decision-making.\ntech giant | Major Company | A corporation with substantial influence and market power in the technology industry.\nstock split | Corporate Action | A decision by a company to increase its number of shares, potentially affecting stock price and investor behavior.\ninvestors | Market Participants | Individuals or institutions that allocate capital with the expectation of future financial returns.\nWalmart | Company | A multinational retail corporation, significant for its size and influence in the consumer goods sector.","behavior":"degenerate_repetition","conversation_hash":"fee49c424876b8e2080830a5788edb02","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":6767,"n_turns_in_conversation":1,"n_words":1020,"source_row_offset":25879,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 01:53:39 GMT","turn_id":"dead55e90c0a63985d2981fb","turn_index":0,"user_text":"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.\n\nEnsure the following:\nLabel All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.\nDefine New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.\nProvide an Exhaustive Entity List: Include every relevant label mentioned in the input text.\n\nAnswer in the following format:\n | | ,\n | | ,\n...\n\nHere is an Example : \nInput: \nLawmakers continue to try to police social media use among teens \u2014 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.\n\nOutput:\nLawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments. \nsocial media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.\nMeta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors. \nFacebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets. \nInstagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement. \nThreads | Company | Social media platform owned by Meta, contributing to the digital communication landscape. \nNov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. \ntech giants | Major Companies | Entities that hold substantial market power in the technology sector. \nGoogle | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution. \nApple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution. \nbigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company\u2019s operations, often resulting in resource strain or inefficiencies.\nApple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics. \nGoogle Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics. \nParental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage. \nThe Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.\nUser: Stocks rose on Tuesday , led by tech shares, as traders kicked off a historically tough month for the market on the right foot and built on Wall Street's best August performance since the 1980s. The Dow Jones Industrial Average gained 215.61 points, or 0.8%, to close at 28,645.66. The S&P 500 climbed 0.8% to 3,526.65 and the Nasdaq Composite advanced 1.4% to 11,939.67. Both the S&P 500 and Nasdaq hit all-time highs. Apple led the gains in tech, rising 4%. The stock got a boost as several Wall Street analysts hiked their price targets on the tech giant . That gain came a day after the stock rose more than 3% following a stock split that appears to be causing investors to snap up the shares. Walmart\nAssistant:"}],"shard":{"index":50,"name":"turns-00050.parquet","rows":48033}}