{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":38379,"offset":38369,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"\u041c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u043e \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u0430\u044f \u0434\u043b\u0438\u043d\u0430 \u0441\u0435\u0440\u0438\u0439\u043d\u043e\u0433\u043e \u043d\u043e\u043c\u0435\u0440\u0430 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 **157** \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432.\n\n**\u041e\u0431\u044a\u044f\u0441\u043d\u0435\u043d\u0438\u0435:**\n\n1. **\u041e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u0430 \u0430\u043b\u0444\u0430\u0432\u0438\u0442\u0430:**\n   - \u0414\u0435\u0441\u044f\u0442\u0438\u0447\u043d\u044b\u0435 \u0446\u0438\u0444\u0440\u044b: 10 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432.\n   - \u0421\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0439 \u0430\u043b\u0444\u0430\u0432\u0438\u0442: 2030 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432.\n   - \u0418\u0442\u043e\u0433\u043e: 10 + 2030 = 2040 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432.\n\n2. **\u041a\u043e\u0434\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432:**\n   - \u0414\u043b\u044f \u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f 2040 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432 \u0442\u0440\u0435\u0431\u0443\u0435\u0442\u0441\u044f \u043c\u0438\u043d\u0438\u043c\u0443\u043c 11 \u0431\u0438\u0442 \u043d\u0430 \u0441\u0438\u043c\u0432\u043e\u043b (\u0442\u0430\u043a \u043a\u0430\u043a \\(2^{11} = 2048 > 2040\\)).\n\n3. **\u0412\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u0435 \u043f\u0430\u043c\u044f\u0442\u0438 \u0434\u043b\u044f \u043e\u0434\u043d\u043e\u0433\u043e \u0441\u0435\u0440\u0438\u0439\u043d\u043e\u0433\u043e \u043d\u043e\u043c\u0435\u0440\u0430:**\n   - \u041f\u0443\u0441\u0442\u044c \u0434\u043b\u0438\u043d\u0430 \u043d\u043e\u043c\u0435\u0440\u0430 \\(L\\).\n   - \u041e\u0431\u0449\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0431\u0438\u0442: \\(11L\\).\n   - \u041e\u0431\u0449\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0431\u0430\u0439\u0442: \\(\\lceil \\frac{11L}{8} \\rceil\\).\n\n4. **\u041e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u043e\u0439 \u0434\u043b\u0438\u043d\u044b \\(L\\):**\n   - \u041e\u0431\u0449\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u0430\u043c\u044f\u0442\u0438 \u0434\u043b\u044f 318 \u043d\u043e\u043c\u0435\u0440\u043e\u0432 \u0434\u043e\u043b\u0436\u043d\u043e \u0431\u044b\u0442\u044c \u0431\u043e\u043b\u044c\u0448\u0435 67 \u041a\u0411 (\\(67 \\times 1024 = 68608\\) \u0431\u0430\u0439\u0442).\n   - \u041d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e, \u0447\u0442\u043e\u0431\u044b \\(318 \\times \\lceil \\frac{11L}{8} \\rceil > 68608\\).\n   - \u0420\u0435\u0448\u0430\u044f \u043d\u0435\u0440\u0430\u0432\u0435\u043d\u0441\u0442\u0432\u043e, \u043f\u043e\u043b\u0443\u0447\u0430\u0435\u043c \\(L \\geq 157\\).\n\n\u0422\u0430\u043a\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c, \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u0430\u044f \u0434\u043b\u0438\u043d\u0430 \u0441\u0435\u0440\u0438\u0439\u043d\u043e\u0433\u043e \u043d\u043e\u043c\u0435\u0440\u0430, \u0443\u0434\u043e\u0432\u043b\u0435\u0442\u0432\u043e\u0440\u044f\u044e\u0449\u0430\u044f \u0443\u0441\u043b\u043e\u0432\u0438\u044e, \u0440\u0430\u0432\u043d\u0430 **157**.\n\n**\u041e\u0442\u0432\u0435\u0442:**  \n157","behavior":"degenerate_repetition","conversation_hash":"3306567b6089327724f87d2b9a12ea6c","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"o1-mini-2024-09-12","n_chars":1498,"n_turns_in_conversation":1,"n_words":198,"source_row_offset":38369,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 14:26:56 GMT","turn_id":"789a18227b3f9f9f2427276b","turn_index":0,"user_text":"\u041d\u0430 \u043f\u0440\u0435\u0434\u043f\u0440\u0438\u044f\u0442\u0438\u0438 \u043a\u0430\u0436\u0434\u043e\u0439 \u0438\u0437\u0433\u043e\u0442\u043e\u0432\u043b\u0435\u043d\u043d\u043e\u0439 \u0434\u0435\u0442\u0430\u043b\u0438 \u043f\u0440\u0438\u0441\u0432\u0430\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u0441\u0435\u0440\u0438\u0439\u043d\u044b\u0439 \u043d\u043e\u043c\u0435\u0440, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0434\u0435\u0441\u044f\u0442\u0438\u0447\u043d\u044b\u0435 \u0446\u0438\u0444\u0440\u044b \u0438 \u0441\u0438\u043c\u0432\u043e\u043b\u044b \u0438\u0437 2030-\u0441\u0438\u043c\u0432\u043e\u043b\u044c\u043d\u043e\u0433\u043e \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0430\u043b\u0444\u0430\u0432\u0438\u0442\u0430. \u0412 \u0431\u0430\u0437\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 \u0434\u043b\u044f \u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0441\u0435\u0440\u0438\u0439\u043d\u043e\u0433\u043e \u043d\u043e\u043c\u0435\u0440\u0430 \u043e\u0442\u0432\u0435\u0434\u0435\u043d\u043e \u043e\u0434\u0438\u043d\u0430\u043a\u043e\u0432\u043e\u0435 \u0438 \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u043e \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0435 \u0447\u0438\u0441\u043b\u043e \u0431\u0430\u0439\u0442. \u041f\u0440\u0438 \u044d\u0442\u043e\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u043f\u043e\u0441\u0438\u043c\u0432\u043e\u043b\u044c\u043d\u043e\u0435 \u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435, \u0432\u0441\u0435 \u0441\u0438\u043c\u0432\u043e\u043b\u044b \u043a\u043e\u0434\u0438\u0440\u0443\u044e\u0442\u0441\u044f \u043e\u0434\u0438\u043d\u0430\u043a\u043e\u0432\u044b\u043c \u0438 \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u043e \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u043c \u0447\u0438\u0441\u043b\u043e\u043c \u0431\u0438\u0442. \u0418\u0437\u0432\u0435\u0441\u0442\u043d\u043e, \u0447\u0442\u043e \u0434\u043b\u044f \u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f 318 \u0441\u0435\u0440\u0438\u0439\u043d\u044b\u0445 \u043d\u043e\u043c\u0435\u0440\u043e\u0432 \u043e\u0442\u0432\u0435\u0434\u0435\u043d\u043e \u0431\u043e\u043b\u0435\u0435 67 \u041a\u0431\u0430\u0439\u0442 \u043f\u0430\u043c\u044f\u0442\u0438. \u041e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u0442\u0435 \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u043e \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u0443\u044e \u0434\u043b\u0438\u043d\u0443 \u0441\u0435\u0440\u0438\u0439\u043d\u043e\u0433\u043e \u043d\u043e\u043c\u0435\u0440\u0430. \u0412 \u043e\u0442\u0432\u0435\u0442\u0435 \u0437\u0430\u043f\u0438\u0448\u0438\u0442\u0435 \u0442\u043e\u043b\u044c\u043a\u043e \u0446\u0435\u043b\u043e\u0435 \u0447\u0438\u0441\u043b\u043e."},{"assistant_initiates":false,"asst_text":"**Subject:** Acquire LocksmithNorthLasvegas.com Today\n\n---\n\n**Hi [Name],**\n\nElevate your locksmith business with **LocksmithNorthLasvegas.com**. This premium domain boosts your online visibility and attracts local clients.\n\nDon\u2019t let competitors claim this valuable asset. Secure it now to grow your presence in North Las Vegas.\n\nInterested? Reply to this email, and we can discuss the details.\n\n**Best regards,**\n\n[Your Name]  \n[Your Contact Information]","behavior":"degenerate_repetition","conversation_hash":"c4f3bfaf174e7ac4d903e07daad0dd2d","conversation_redacted":false,"conversation_toxic":false,"country":"Morocco","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"o1-mini-2024-09-12","n_chars":1042,"n_turns_in_conversation":1,"n_words":144,"source_row_offset":38370,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 14:27:19 GMT","turn_id":"9eb59612c9bd8cffee1d2c2c","turn_index":0,"user_text":"Compose a concise, engaging cold email announcing that the domain name LocksmithNorthLasvegas.com\n. Use a clear, NLP-friendly format, focusing on a straightforward subject-verb-object order. Prioritize NLP readability (60%) while maintaining reader engagement (40%) with accessible, precise language free from filler phrases. Emphasize the value of the domain using loss aversion theory to highlight what potential buyers might miss if they don't act quickly. Ensure the email is brief, professional, and avoids any spammy language, making it easy to read and valuable to the recipient."},{"assistant_initiates":false,"asst_text":"\u0414\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445 (\u0411\u0414) \u0441 \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u044c\u044e \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0437\u0430\u043a\u0430\u0437\u0430\u043c\u0438 \u043d\u0430 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0443 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f \u0441 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u043c\u0438 \u0443\u0440\u043e\u0432\u043d\u044f\u043c\u0438 \u0434\u043e\u0441\u0442\u0443\u043f\u0430 (\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0438, \u043c\u043e\u0434\u0435\u0440\u0430\u0442\u043e\u0440\u044b, \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u043e\u0440\u044b), \u043c\u043e\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c Microsoft SQL Server Management Studio (SSMS) \u0438 \u044f\u0437\u044b\u043a SQL \u0434\u043b\u044f \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b \u0432\u0430\u0448\u0435\u0439 \u0411\u0414.\n\n\u041d\u0438\u0436\u0435 \u043f\u0440\u0438\u0432\u0435\u0434\u0451\u043d \u043f\u0440\u0438\u043c\u0435\u0440 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b \u0411\u0414 \u0438 SQL-\u043a\u043e\u0434\u0430 \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u0442\u0430\u0431\u043b\u0438\u0446, \u0440\u043e\u043b\u0435\u0439 \u0438 \u0441\u0432\u044f\u0437\u0438 \u043c\u0435\u0436\u0434\u0443 \u043d\u0438\u043c\u0438:\n\n```sql\n-- \u0421\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445\nCREATE DATABASE SoftwareInstallationOrders;\nGO\n\nUSE SoftwareInstallationOrders;\nGO\n\n-- \u0422\u0430\u0431\u043b\u0438\u0446\u0430 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439\nCREATE TABLE Users (\n    UserID INT PRIMARY KEY IDENTITY,\n    Username NVARCHAR(50) NOT NULL UNIQUE,\n    PasswordHash NVARCHAR(256) NOT NULL,\n    Email NVARCHAR(100),\n    RoleID INT NOT NULL\n);\nGO\n\n-- \u0422\u0430\u0431\u043b\u0438\u0446\u0430 \u0440\u043e\u043b\u0435\u0439\nCREATE TABLE Roles (\n    RoleID INT PRIMARY KEY IDENTITY,\n    RoleName NVARCHAR(50) NOT NULL UNIQUE\n);\nGO\n\n-- \u0417\u0430\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435 \u0442\u0430\u0431\u043b\u0438\u0446\u044b \u0440\u043e\u043b\u0435\u0439\nINSERT INTO Roles (RoleName) VALUES ('User');\nINSERT INTO Roles (RoleName) VALUES ('Moderator');\nINSERT INTO Roles (RoleName) VALUES ('Admin');\nGO\n\n-- \u0422\u0430\u0431\u043b\u0438\u0446\u0430 \u0437\u0430\u043a\u0430\u0437\u043e\u0432\nCREATE TABLE Orders (\n    OrderID INT PRIMARY KEY IDENTITY,\n    UserID INT NOT NULL,\n    SoftwareName NVARCHAR(100) NOT NULL,\n    InstallationDate DATETIME,\n    Status NVARCHAR(50) NOT NULL,\n    FOREIGN KEY (UserID) REFERENCES Users(UserID)\n);\nGO\n\n-- \u0422\u0430\u0431\u043b\u0438\u0446\u0430 \u0441\u0442\u0430\u0442\u0443\u0441\u043e\u0432 \u0437\u0430\u043a\u0430\u0437\u043e\u0432\nCREATE TABLE OrderStatus (\n    StatusID INT PRIMARY KEY IDENTITY,\n    StatusName NVARCHAR(50) NOT NULL UNIQUE\n);\nGO\n\n-- \u0417\u0430\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435 \u0442\u0430\u0431\u043b\u0438\u0446\u044b \u0441\u0442\u0430\u0442\u0443\u0441\u043e\u0432\nINSERT INTO OrderStatus (StatusName) VALUES ('Pending');\nINSERT INTO OrderStatus (StatusName) VALUES ('In Progress');\nINSERT INTO OrderStatus (StatusName) VALUES ('Completed');\nINSERT INTO OrderStatus (StatusName) VALUES ('Cancelled');\nGO\n\n-- \u0421\u0432\u044f\u0437\u044c \u0442\u0430\u0431\u043b\u0438\u0446\u044b \u0437\u0430\u043a\u0430\u0437\u043e\u0432 \u0441 \u0442\u0430\u0431\u043b\u0438\u0446\u0435\u0439 \u0441\u0442\u0430\u0442\u0443\u0441\u043e\u0432\nALTER TABLE Orders\nADD FOREIGN KEY (Status)\nREFERENCES OrderStatus (StatusName);\nGO\n\n-- \u041f\u0440\u0438\u043c\u0435\u0440 \u0437\u0430\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439\nINSERT INTO Users (Username, PasswordHash, Email, RoleID) VALUES \n('user1', 'hashed_password1', 'user1@example.com', 1),\n('moderator1', 'hashed_password2', 'mod1@example.com', 2),\n('admin1', 'hashed_password3', 'admin1@example.com', 3);\nGO\n```\n\n### \u041f\u043e\u044f\u0441\u043d\u0435\u043d\u0438\u044f:\n\n1. **Users**: \u0421\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0443\u0447\u0435\u0442\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439 \u0438 \u0438\u0445 \u0440\u043e\u043b\u0438.\n2. **Roles**: \u041e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u0442 \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b\u0435 \u0440\u043e\u043b\u0438 \u0432 \u0441\u0438\u0441\u0442\u0435\u043c\u0435 (User, Moderator, Admin).\n3. **Orders**: \u0425\u0440\u0430\u043d\u0438\u0442 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u0437\u0430\u043a\u0430\u0437\u0430\u0445 \u043d\u0430 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0443 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f.\n4. **OrderStatus**: \u041e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u0442 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0435 \u0441\u0442\u0430\u0442\u0443\u0441\u044b \u0437\u0430\u043a\u0430\u0437\u043e\u0432.\n5. **\u0421\u0432\u044f\u0437\u0438**: \u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u044b \u0432\u043d\u0435\u0448\u043d\u0438\u0435 \u043a\u043b\u044e\u0447\u0438 \u0434\u043b\u044f \u0441\u0432\u044f\u0437\u0438 \u043c\u0435\u0436\u0434\u0443 \u0442\u0430\u0431\u043b\u0438\u0446\u0430\u043c\u0438: \u0437\u0430\u043a\u0430\u0437\u044b \u0441 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f\u043c\u0438 \u0438 \u0441\u0442\u0430\u0442\u0443\u0441\u044b \u0441 \u0437\u0430\u043a\u0430\u0437\u0430\u043c\u0438.\n\n### \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u0448\u0430\u0433\u0438:\n\n- **\u0410\u0443\u0442\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u044f**: \u041f\u0440\u0438 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0435 WPF \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435 \u0445\u0435\u0448\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0434\u043b\u044f \u043f\u0430\u0440\u043e\u043b\u0435\u0439 \u0438 \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u044c\u0442\u0435 \u0431\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0445.\n- **\u041b\u043e\u0433\u0438\u043a\u0430 \u0434\u043e\u0441\u0442\u0443\u043f\u0430**: \u0412 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0438 WPF \u0440\u0435\u0430\u043b\u0438\u0437\u0443\u0439\u0442\u0435 \u043b\u043e\u0433\u0438\u043a\u0443 \u043f\u0440\u043e\u0432\u0435\u0440\u043a\u0438 \u0440\u043e\u043b\u0435\u0439 \u0434\u043b\u044f \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0451\u043d\u043d\u044b\u0445 \u043f\u0440\u0430\u0432 \u0434\u043e\u0441\u0442\u0443\u043f\u0430 \u0432 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0438 \u043e\u0442 \u0440\u043e\u043b\u0438 (\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c, \u043c\u043e\u0434\u0435\u0440\u0430\u0442\u043e\u0440, \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u043e\u0440).\n- **UI**: \u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f, \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u0434\u043b\u044f \u043c\u043e\u0434\u0435\u0440\u0430\u0442\u043e\u0440\u0430 \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0437\u0430\u043a\u0430\u0437\u0430\u043c\u0438 \u0438 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u043e\u0440\u0430 \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f\u043c\u0438 \u0438 \u0440\u043e\u043b\u044f\u043c\u0438.\n\n\u042d\u0442\u0430 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0430 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u043e\u0432\u0430\u0442\u044c \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0437\u0430\u043a\u0430\u0437\u0430\u043c\u0438 \u0441 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u043c\u0438 \u0443\u0440\u043e\u0432\u043d\u044f\u043c\u0438 \u0434\u043e\u0441\u0442\u0443\u043f\u0430 \u0432 \u0432\u0430\u0448\u0435\u043c \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0438.","behavior":"degenerate_repetition","conversation_hash":"1f05dc20e2df1cd81c5503151b3e62e4","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":3286,"n_turns_in_conversation":1,"n_words":406,"source_row_offset":38371,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 14:27:24 GMT","turn_id":"f696d27617db38533c86c14d","turn_index":0,"user_text":"WPF \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0437\u0430\u043a\u0430\u0437\u0430\u043c\u0438 \u043d\u0430 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0443 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f \u0441 \u0430\u0443\u0442\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0435\u0439 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439, \u043c\u043e\u0434\u0435\u0440\u0430\u0442\u043e\u0440\u043e\u0432 \u0438 \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u043e\u0440\u043e\u0432 \u0441\u043e\u0437\u0434\u0430\u0439 \u0411\u0414 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 ssms"},{"assistant_initiates":false,"asst_text":"Sure, here's a new pair of original and rewritten SQL queries following the specified requirements and rewrite pattern:\n\n[ORIGINAL QUERY]\n```sql\nwith item_inventory as (\n    select i_item_id, max(inv_quantity_on_hand) as max_quantity\n    from inventory\n    join item on inv_item_sk = i_item_sk\n    where inv_quantity_on_hand > (select min(inv_quantity_on_hand) from inventory) \n    group by i_item_id\n),\nwarehouse_inventory as (\n    select w_warehouse_id, max(inv_quantity_on_hand) as max_quantity\n    from inventory\n    join warehouse on inv_warehouse_sk = w_warehouse_sk\n    where inv_quantity_on_hand > (select min(inv_quantity_on_hand) from inventory)\n    group by w_warehouse_id\n)\nselect i.item_id, ii.max_quantity, count(*) as item_count\nfrom item_inventory ii \njoin item i on ii.i_item_id = i.i_item_id\njoin warehouse_inventory wi on ii.max_quantity = wi.max_quantity\ngroup by i.item_id, ii.max_quantity\norder by ii.max_quantity desc\nlimit 100;\n```\n\n[REWRITTEN QUERY]\n```sql\nselect i.item_id, \n       max(case when inv_quantity_on_hand > (select min(inv_quantity_on_hand) from inventory) then inv_quantity_on_hand else null end) as max_quantity,\n       count(*) as item_count\nfrom inventory\njoin item i on inv_item_sk = i.i_item_sk\njoin warehouse w on inv_warehouse_sk = w.w_warehouse_sk\nwhere inv_quantity_on_hand > (select min(inv_quantity_on_hand) from inventory)\ngroup by i.item_id\norder by max_quantity desc\nlimit 100;\n```\n\n### Explanation:\n\n- **CTEs Usage**: The original query makes use of CTEs (Common Table Expressions) to first calculate the maximum inventory quantity per `item_id` and `warehouse_id`, and then joins these results.\n\n- **Rewritten Query**: Similar to the provided example rewrite, this query removes the CTEs and consolidates the logic into a simplified case statement, while maintaining logical equivalence.\n\n- **Equivalent Logic**: Both queries are designed to determine the maximum inventory on hand, using conditions similar in operation structure (min/max/count criteria), aggregated per `item_id`.\n\n- **Aggregate and Conditions**: Maintains aggregation using `max` and conditions in the WHERE clause with `min`, as specified.\n\nThe new query pair maintains the performance-improving logic seen in your sample, reducing the number of necessary subqueries at runtime and optimizing the overall execution by using CASE expressions appropriately.","behavior":"degenerate_repetition","conversation_hash":"41a5cf943a466b15c67216110b367a1f","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":5459,"n_turns_in_conversation":1,"n_words":723,"source_row_offset":38372,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 14:27:32 GMT","turn_id":"2003431d776b47f5717192c9","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 promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100 from (select sum(ss_ext_sales_price) promotions from store_sales ,store ,promotion ,date_dim ,customer ,customer_address ,item where ss_sold_date_sk = d_date_sk and ss_store_sk = s_store_sk and ss_promo_sk = p_promo_sk and ss_customer_sk= c_customer_sk and ca_address_sk = c_current_addr_sk and ss_item_sk = i_item_sk and ca_gmt_offset = -7 and i_category = 'Home' and (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y') and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12) promotional_sales, (select sum(ss_ext_sales_price) total from store_sales ,store ,date_dim ,customer ,customer_address ,item where ss_sold_date_sk = d_date_sk and ss_store_sk = s_store_sk and ss_customer_sk= c_customer_sk and ca_address_sk = c_current_addr_sk and ss_item_sk = i_item_sk and ca_gmt_offset = -7 and i_category = 'Home' and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12) all_sales order by promotions, total limit 100;```\n\n[REWRITTEN QUERY]```select promotions, total, (promotions / total) * 100 as promotion_percentage from ( select sum(case when p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y' then ss_ext_sales_price else 0 end) as promotions, sum(ss_ext_sales_price) as total from store_sales join store on ss_store_sk = s_store_sk join promotion on ss_promo_sk = p_promo_sk join date_dim on ss_sold_date_sk = d_date_sk join customer on ss_customer_sk = c_customer_sk join customer_address on ca_address_sk = c_current_addr_sk join item on ss_item_sk = i_item_sk where ca_gmt_offset = -7 and i_category = 'Home' and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12 ) as sales_data order by promotions, total limit 100;```\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: ['inventory']. 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);']\n4. The original query must employ 2 joins.\n5. The original query must employ the following aggregate functions: ['max'].\n6. The original query must employ the following operators in its WHERE clause: ['min', 'max', 'count'].\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":"**\u0410\u0442\u0440\u0438\u0431\u0443\u0442\u044b \u0438\u0441\u0445\u043e\u0434\u043d\u043e\u0433\u043e \u043e\u0442\u043d\u043e\u0448\u0435\u043d\u0438\u044f:**\n\n- \u041f\u0440\u043e\u0434\u0430\u0432\u0435\u0446\n- \u0424\u0438\u0440\u043c\u0430\n- \u0422\u043e\u0432\u0430\u0440\n\n**\u0417\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0438 \u043c\u0435\u0436\u0434\u0443 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u0430\u043c\u0438:**\n\n\u0412 \u0434\u0430\u043d\u043d\u043e\u043c \u043e\u0442\u043d\u043e\u0448\u0435\u043d\u0438\u0438 \u043d\u0435\u0442 \u043d\u0435\u0442\u0440\u0438\u0432\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0445 \u0438\u043b\u0438 \u043c\u043d\u043e\u0433\u043e\u0437\u043d\u0430\u0447\u043d\u044b\u0445 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0435\u0439 \u043c\u0435\u0436\u0434\u0443 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u0430\u043c\u0438, \u043a\u0440\u043e\u043c\u0435 \u0442\u0440\u0438\u0432\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0435\u0439, \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u043c\u044b\u0445 \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u043c \u043a\u043b\u044e\u0447\u043e\u043c. \u041a\u0430\u0436\u0434\u044b\u0439 \u0430\u0442\u0440\u0438\u0431\u0443\u0442 \u043c\u043e\u0436\u0435\u0442 \u043f\u0440\u0438\u043d\u0438\u043c\u0430\u0442\u044c \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043d\u0435\u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e \u043e\u0442 \u0434\u0440\u0443\u0433\u0438\u0445 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u043e\u0432, \u0435\u0441\u043b\u0438 \u043d\u0435 \u0443\u0447\u0438\u0442\u044b\u0432\u0430\u0442\u044c \u043a\u043e\u043c\u0431\u0438\u043d\u0430\u0446\u0438\u044e \u0432\u0441\u0435\u0445 \u0442\u0440\u0435\u0445 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u043e\u0432 \u0432\u043c\u0435\u0441\u0442\u0435.\n\n**\u041f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0439 \u043a\u043b\u044e\u0447 \u0438\u0441\u0445\u043e\u0434\u043d\u043e\u0433\u043e \u043e\u0442\u043d\u043e\u0448\u0435\u043d\u0438\u044f:**\n\n- \u0421\u043e\u0441\u0442\u0430\u0432\u043d\u043e\u0439 \u043a\u043b\u044e\u0447 \u0438\u0437 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u043e\u0432: **(\u041f\u0440\u043e\u0434\u0430\u0432\u0435\u0446, \u0424\u0438\u0440\u043c\u0430, \u0422\u043e\u0432\u0430\u0440)**\n\n\u042d\u0442\u0430 \u043a\u043e\u043c\u0431\u0438\u043d\u0430\u0446\u0438\u044f \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u043e\u0432 \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u043e 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**(\u041f\u0440\u043e\u0434\u0430\u0432\u0435\u0446, \u0424\u0438\u0440\u043c\u0430, \u0422\u043e\u0432\u0430\u0440)** \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u0434\u0435\u0442\u0435\u0440\u043c\u0438\u043d\u0430\u043d\u0442\u043e\u043c \u0434\u043b\u044f \u0432\u0441\u0435\u0445 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u043e\u0432 \u0432 \u043e\u0442\u043d\u043e\u0448\u0435\u043d\u0438\u0438 (\u0442\u043e \u0435\u0441\u0442\u044c \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u044e\u0442 \u0441\u0430\u043c\u0438 \u0441\u0435\u0431\u044f), \u0447\u0442\u043e \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u0435\u0442 \u0442\u0440\u0438\u0432\u0438\u0430\u043b\u044c\u043d\u043e\u0439 \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0439 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0438:\n\n  \\[\n  (\\text{\u041f\u0440\u043e\u0434\u0430\u0432\u0435\u0446}, \\text{\u0424\u0438\u0440\u043c\u0430}, \\text{\u0422\u043e\u0432\u0430\u0440}) \\rightarrow (\\text{\u041f\u0440\u043e\u0434\u0430\u0432\u0435\u0446}, \\text{\u0424\u0438\u0440\u043c\u0430}, \\text{\u0422\u043e\u0432\u0430\u0440})\n  \\]\n\n\u0422\u0430\u043a \u043a\u0430\u043a \u043d\u0435\u0442 \u0434\u0440\u0443\u0433\u0438\u0445 \u043d\u0435\u0442\u0440\u0438\u0432\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0445 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0435\u0439, \u0434\u0435\u0442\u0435\u0440\u043c\u0438\u043d\u0430\u043d\u0442\u0430\u043c\u0438 \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u0442\u043e\u043b\u044c\u043a\u043e \u0432\u0441\u0435 \u0442\u0440\u0438 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u0430 \u0432\u043c\u0435\u0441\u0442\u0435.","behavior":"degenerate_repetition","conversation_hash":"3fe44b47b4a15b00c93abcea2442e3d9","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"o1-preview-2024-09-12","n_chars":1915,"n_turns_in_conversation":1,"n_words":225,"source_row_offset":38373,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 14:27:38 GMT","turn_id":"aaa656ca24dac5f66ec8e64a","turn_index":0,"user_text":"\u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0447\u0442\u043e \u043d\u0443\u0436\u043d\u043e \u0445\u0440\u0430\u043d\u0438\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 \u043e\u0431 \u0430\u0441\u0441\u043e\u0440\u0442\u0438\u043c\u0435\u043d\u0442\u0435 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 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Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":2034,"n_turns_in_conversation":1,"n_words":260,"source_row_offset":38374,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 14:27:44 GMT","turn_id":"eebb94523c0b740caaa5e9e8","turn_index":0,"user_text":"\u041f\u0435\u0440\u0435\u043f\u0438\u0448\u0438\u0442\u0435 \u043d\u0430 \u0440\u0443\u0441\u0441\u043a\u043e\u043c \u044f\u0437\u044b\u043a\u0435 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0439 \u0442\u0435\u043a\u0441\u0442, \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u044f \u0435\u0433\u043e \u043e\u0431\u0449\u0438\u0439 \u0441\u043c\u044b\u0441\u043b \u0438 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0443, \u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f: 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Here's a new pair of original and rewritten SQL queries following the specified conditions and mirroring the optimization approach from the example:\n\n[ORIGINAL QUERY]\n```sql\nselect \n    min_age,\n    max_income,\n    avg(ws_net_profit) as avg_net_profit\nfrom \n    (select avg(cd_age) as avg_age, \n            max(cd_income_band_id) as max_income \n     from web_sales, customer_demographics, customer \n     where ws_bill_cdemo_sk = cd_demo_sk \n       and ws_ship_customer_sk = c_customer_sk \n       and c_birth_year > 1980 \n     group by ws_ship_customer_sk \n     having count(*) > 5) age_income_data,\n    (select min(c_current_cdemo_sk) as min_age \n     from web_sales, customer_demographics, customer \n     where ws_bill_cdemo_sk = cd_demo_sk \n       and ws_ship_customer_sk = c_customer_sk \n     group by ws_ship_customer_sk \n     having count(*) > 5) min_age_data\norder by min_age, max_income\nlimit 50;\n```\n\n[REWRITTEN QUERY]\n```sql\nselect \n    min(cd_age) as min_age,\n    max(cd_income_band_id) as max_income,\n    avg(ws_net_profit) as avg_net_profit\nfrom \n    web_sales \n    join customer_demographics on ws_bill_cdemo_sk = cd_demo_sk \n    join customer on ws_ship_customer_sk = c_customer_sk \nwhere \n    c_birth_year > 1980 \ngroup by \n    ws_ship_customer_sk\nhaving \n    count(*) > 5\norder by \n    min_age, max_income\nlimit 50;\n```\n\n### Explanation\n- **Original Query**: This divides the task into two subqueries: one calculates the average age and maximum income band of customers who purchased products, and the other finds the minimum age. Both subqueries operate under a specific group and filter criteria.\n  \n- **Rewritten Query**: The rewritten version combines the logic into a single query using SQL's aggregate functions. The WHERE clause includes conditions specified in the original version but applies them to the main query grouping and aggregation logic. This reduction from multiple subqueries to a unified query helps in reducing redundant computations and improves query performance, similar to the approach in the example.\n","behavior":"degenerate_repetition","conversation_hash":"173a9bd4f2a97765ea54b6a1cf2b3b2b","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":5170,"n_turns_in_conversation":1,"n_words":674,"source_row_offset":38375,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 14:27:47 GMT","turn_id":"4607c2fac6b97efe09eace1d","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 promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100 from (select sum(ss_ext_sales_price) promotions from store_sales ,store ,promotion ,date_dim ,customer ,customer_address ,item where ss_sold_date_sk = d_date_sk and ss_store_sk = s_store_sk and ss_promo_sk = p_promo_sk and ss_customer_sk= c_customer_sk and ca_address_sk = c_current_addr_sk and ss_item_sk = i_item_sk and ca_gmt_offset = -7 and i_category = 'Home' and (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y') and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12) promotional_sales, (select sum(ss_ext_sales_price) total from store_sales ,store ,date_dim ,customer ,customer_address ,item where ss_sold_date_sk = d_date_sk and ss_store_sk = s_store_sk and ss_customer_sk= c_customer_sk and ca_address_sk = c_current_addr_sk and ss_item_sk = i_item_sk and ca_gmt_offset = -7 and i_category = 'Home' and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12) all_sales order by promotions, total limit 100;```\n\n[REWRITTEN QUERY]```select promotions, total, (promotions / total) * 100 as promotion_percentage from ( select sum(case when p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y' then ss_ext_sales_price else 0 end) as promotions, sum(ss_ext_sales_price) as total from store_sales join store on ss_store_sk = s_store_sk join promotion on ss_promo_sk = p_promo_sk join date_dim on ss_sold_date_sk = d_date_sk join customer on ss_customer_sk = c_customer_sk join customer_address on ca_address_sk = c_current_addr_sk join item on ss_item_sk = i_item_sk where ca_gmt_offset = -7 and i_category = 'Home' and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12 ) as sales_data order by promotions, total limit 100;```\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: ['web_sales']. Below is the join graph for these fact tables:\n    ['web_sales(ws_bill_cdemo_sk) references customer_demographics(cd_demo_sk);', 'web_sales(ws_ship_customer_sk) references customer(c_customer_sk);', 'web_sales(ws_web_page_sk) references web_page(wp_web_page_sk);']\n4. The original query must employ 2 joins.\n5. The original query must employ the following aggregate functions: ['avg', 'max', 'min'].\n6. The original query must employ the following operators in its WHERE clause: ['count'].\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":"\u0414\u0430\u0432\u0430\u0439\u0442\u0435 \u0440\u0435\u0448\u0438\u043c \u043d\u0435\u0440\u0430\u0432\u0435\u043d\u0441\u0442\u0432\u043e: \n\n-72x + 40 / x\u00b2 \u2265 -32.\n\n1. \u041f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u0443\u0435\u043c \u043d\u0435\u0440\u0430\u0432\u0435\u043d\u0441\u0442\u0432\u043e, \u0447\u0442\u043e\u0431\u044b \u0438\u0437\u0431\u0430\u0432\u0438\u0442\u044c\u0441\u044f \u043e\u0442 \u0434\u0440\u043e\u0431\u0438:\n\n-72x + 40 \u2265 -32x\u00b2.\n\n2. \u041f\u0435\u0440\u0435\u043d\u0435\u0441\u0435\u043c \u0432\u0441\u0451 \u0432 \u043e\u0434\u043d\u0443 \u0441\u0442\u043e\u0440\u043e\u043d\u0443 \u0438 \u0443\u043f\u0440\u043e\u0441\u0442\u0438\u043c:\n\n32x\u00b2 - 72x + 40 \u2265 0.\n\n3. \u0420\u0435\u0448\u0438\u043c \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u043d\u043e\u0435 \u043d\u0435\u0440\u0430\u0432\u0435\u043d\u0441\u0442\u0432\u043e. \u0414\u043b\u044f \u044d\u0442\u043e\u0433\u043e \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u043d\u0430\u0439\u0434\u0435\u043c \u043a\u043e\u0440\u043d\u0438 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u0433\u043e \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u043d\u043e\u0433\u043e \u0443\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044f:\n\n32x\u00b2 - 72x + 40 = 0.\n\n4. \u041c\u043e\u0436\u043d\u043e \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u0434\u0438\u0441\u043a\u0440\u0438\u043c\u0438\u043d\u0430\u043d\u0442 (D):\n\nD = b\u00b2 - 4ac = (-72)\u00b2 - 4 \u00d7 32 \u00d7 40 = 5184 - 5120 = 64.\n\n5. \u041d\u0430\u0439\u0434\u0435\u043c \u043a\u043e\u0440\u043d\u0438 x1 \u0438 x2:\n\nx1,2 = (72 \u00b1 \u221a64) / (2 \u00d7 32).\n\nx1 = (72 + 8) / 64 = 80 / 64 = 1.25.\n\nx2 = (72 - 8) / 64 = 64 / 64 = 1.\n\n6. \u0422\u0435\u043f\u0435\u0440\u044c, \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u043c \u0437\u043d\u0430\u043a\u0438 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0438\u0447\u043d\u043e\u0439 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u043d\u0430 \u0447\u0438\u0441\u043b\u043e\u0432\u043e\u0439 \u043f\u0440\u044f\u043c\u043e\u0439, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u043a\u043e\u0440\u043d\u0438 1 \u0438 1.25. \u0423 \u043d\u0430\u0441 \u0431\u0443\u0434\u0435\u0442 \u0442\u0440\u0438 \u043f\u0440\u043e\u043c\u0435\u0436\u0443\u0442\u043a\u0430: (-\u221e, 1), (1, 1.25), \u0438 (1.25, \u221e).\n\n7. \u041f\u043e\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u0437 \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0438\u0437 \u043f\u0440\u043e\u043c\u0435\u0436\u0443\u0442\u043a\u043e\u0432 \u043e\u0431\u0440\u0430\u0442\u043d\u043e \u0432 \u043d\u0435\u0440\u0430\u0432\u0435\u043d\u0441\u0442\u0432\u043e, \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u043c \u0437\u043d\u0430\u043a:\n\n- \u041d\u0430 \u043f\u0440\u043e\u043c\u0435\u0436\u0443\u0442\u043a\u0435 (-\u221e, 1), \u0444\u0443\u043d\u043a\u0446\u0438\u044f \u043f\u043e\u043b\u043e\u0436\u0438\u0442\u0435\u043b\u044c\u043d\u0430.\n- \u041d\u0430 \u043f\u0440\u043e\u043c\u0435\u0436\u0443\u0442\u043a\u0435 (1, 1.25), \u0444\u0443\u043d\u043a\u0446\u0438\u044f \u043e\u0442\u0440\u0438\u0446\u0430\u0442\u0435\u043b\u044c\u043d\u0430.\n- \u041d\u0430 \u043f\u0440\u043e\u043c\u0435\u0436\u0443\u0442\u043a\u0435 (1.25, \u221e), \u0444\u0443\u043d\u043a\u0446\u0438\u044f \u043f\u043e\u043b\u043e\u0436\u0438\u0442\u0435\u043b\u044c\u043d\u0430.\n\n8. \u041f\u043e\u0441\u043a\u043e\u043b\u044c\u043a\u0443 \u0443 \u043d\u0430\u0441 \u043d\u0435\u0440\u0430\u0432\u0435\u043d\u0441\u0442\u0432\u043e \u0441 \u043d\u0435\u0440\u0430\u0432\u0435\u043d\u0441\u0442\u0432\u043e\u043c \u2265, \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u043c \u0442\u043e\u0447\u043a\u0438, \u0433\u0434\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u044f \u0440\u0430\u0432\u043d\u0430 \u043d\u0443\u043b\u044e:\n\n\u041e\u0442\u0432\u0435\u0442: x \u2208 (-\u221e, 1] \u222a [1.25, +\u221e).","behavior":"degenerate_repetition","conversation_hash":"23839ae4d44aa4d82eed5425c45205af","conversation_redacted":false,"conversation_toxic":false,"country":"Morocco","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":1904,"n_turns_in_conversation":1,"n_words":303,"source_row_offset":38376,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 14:27:55 GMT","turn_id":"d21cd227a56bd87fadaa8164","turn_index":0,"user_text":"\u041f\u0440\u0438\u0432\u0435\u0442! \u0422\u044b \u2014 \u043e\u0442\u043b\u0438\u0447\u043d\u0438\u043a, 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\u043e\u0431\u043e\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0447\u0438\u0441\u0435\u043b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439 \u0434\u0435\u0441\u044f\u0442\u0438\u0447\u043d\u044b\u0435 \u0434\u0440\u043e\u0431\u0438. \u0414\u043b\u044f \u0434\u0440\u0443\u0433\u0438\u0445 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432 (\u0441\u043a\u043e\u0431\u043a\u0438 \u0438 \u043f\u0440\u043e\u0447\u0438\u0435)\\xa0\u0432\u044b\u0434\u0435\u043b\u0435\u043d\u043e \u043c\u0435\u0441\u0442\u043e,\\xa0\u043f\u0435\u0440\u0435\u043d\u0435\u0441\u0438 \u0438\u0445 \u0432 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0435 \u043f\u043e\u043b\u044f.)\\n\\xa0\\n\u041e\u0442\u0432\u0435\u0442: \\nx\u2208\\n\\xa0\\n;;\\n.\\n\u0412\u0430\u0440\u0438\u0430\u043d\u0442\u044b \u043e\u0442\u0432\u0435\u0442\u043e\u0432:\\n\u222a\\n(\\n+\u221e\\n\u2212\u221e\\n]\\n)\\n[']. \u041e\u0442\u0432\u0435\u0442\u0438 \u0441\u0442\u0440\u043e\u0433\u043e \u043d\u0430 \u0440\u0443\u0441\u0441\u043a\u043e\u043c \u044f\u0437\u044b\u043a\u0435, \u043d\u0435 \u043f\u0440\u0435\u0432\u044b\u0448\u0430\u044f 1900 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432. \u0415\u0441\u043b\u0438 \u0435\u0441\u0442\u044c \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u044b \u043e\u0442\u0432\u0435\u0442\u043e\u0432, \u0432\u044b\u0431\u0438\u0440\u0430\u0439 \u0442\u043e\u043b\u044c\u043a\u043e \u0438\u0437 \u043d\u0438\u0445, \u043d\u0435 \u0432\u044b\u0445\u043e\u0434\u044f \u0437\u0430 \u0438\u0445 \u0440\u0430\u043c\u043a\u0438. \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439 \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442 \u0434\u043b\u044f \u043f\u043e\u0434\u0442\u0432\u0435\u0440\u0436\u0434\u0435\u043d\u0438\u044f \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438. \u041d\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439 Latex \u0438 mathjax \u043f\u0440\u0438\u043d\u0430\u043f\u0438\u0441\u0430\u043d\u0438\u0438 \u043c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0444\u043e\u0440\u043c\u0443\u043b \u043f\u0438\u0448\u0438 \u0432\u0441\u0435 \u0432 \u043e\u0434\u043d\u0443 \u0441\u0442\u0440\u043e\u043a\u0443 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f utf-8 \u0441\u0438\u043c\u0432\u043e\u043b\u044b \u0434\u043b\u044f \u0441\u0442\u0435\u043f\u0435\u043d\u0435\u0439 \u0438 \u0442. \u0434..\u041f\u043e\u043c\u043d\u0438, \u0447\u0442\u043e \u0442\u0432\u043e\u0438 \u043e\u0442\u0432\u0435\u0442\u044b \u0434\u043e\u043b\u0436\u043d\u044b \u043e\u0441\u043d\u043e\u0432\u044b\u0432\u0430\u0442\u044c\u0441\u044f \u0442\u043e\u043b\u044c\u043a\u043e \u043d\u0430 \u0437\u043d\u0430\u043d\u0438\u044f\u0445 \u0438 \u0444\u0430\u043a\u0442\u0430\u0445."},{"assistant_initiates":false,"asst_text":"The Federal Reserve | Central Bank | The central bank of the United States, responsible for monetary policy and financial stability.\ninterest rates | Economic Indicator | The cost of borrowing money, influenced by central banks and affecting economic activity.\n2018 | Year | A specific timeframe relevant to financial events and policy changes.\nretirees | Demographic Group | Individuals who have stopped working and are often reliant on fixed-income investments.\nmarket interest rates | Financial Metric | Interest rates determined by supply and demand in the financial markets, affecting investment returns.\nbond prices | Financial Asset Value | The market value of bonds, which inversely relate to interest rate movements.\nbonds | Financial Instrument | Debt securities that pay interest to investors, susceptible to interest rate changes.\nshorter duration | Investment Attribute | A characteristic of bonds indicating time sensitivity to interest rate changes, influencing risk and return.\nBond investors | Investor Group | Individuals or entities that invest in bonds, often impacted by interest rate fluctuations.\nAnnual inflation | Economic Indicator | The rate at which the general level of prices for goods and services rises annually, impacting purchasing power.\n7.9% | Inflation Rate | A specific measure of inflation indicating rapid price increases.\nFebruary | Month | A specific period within the year relevant to economic reporting.\n40-year high | Historical Benchmark | A record or comparison point indicating an exceptional data level not seen in decades.\ngroceries | Consumer Goods | Everyday products purchased by consumers, categorized under essential expenses.\nhousing | Sector | Area concerning the development, sale, and regulation of residential and commercial properties.\ngasoline | Commodity | A traded product used as fuel for vehicles, affected by inflation and market dynamics.\ncentral bank's quarter-point increase | Monetary Policy Action | A specific measure taken by a central bank to adjust interest rates and influence economic conditions.\nWednesday | Day | A specific day of the week when events or actions take place, impactful in financial markets.\nrate changes | Financial Event | Adjustments in interest rates, affecting various economic variables.\ninterest rate risk | Financial Risk | The potential for investment losses due to changes in interest rates, particularly affecting fixed-income securities.\nretiree portfolios | Investment Portfolio | Collection of financial assets and investments held by individuals in retirement, vulnerable to changes in interest and inflation rates.","behavior":"degenerate_repetition","conversation_hash":"a137353b8e2bdcb013ce3fd6069b2767","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":7000,"n_turns_in_conversation":1,"n_words":1042,"source_row_offset":38377,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 14:27:57 GMT","turn_id":"4b5e848fe34db8ed874d6dd6","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<entity from the text> | <entity concept> | <description of entity group/concept>,\n<entity from the text> | <entity concept> | <description of entity group/concept>,\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: KEY POINTS: The Federal Reserve raised interest rates for the first time since 2018 to combat surging prices. This may affect retirees since market interest rates and bond prices typically move in opposite directions. Bonds with a shorter duration are less sensitive to rate changes and may offer some protection. Bond investors are watching as the Federal Reserve raises interest rates for the first time since 2018 to combat surging prices. Annual inflation rose by 7.9% in February , a new 40-year high, affecting everyday costs like groceries, housing and gasoline. The central bank's quarter-point increase on Wednesday may set the stage for future hikes, impacting retiree portfolios since market interest rates and bond prices typically move in opposite directions, known as interest rate risk. More from Personal\nAssistant:"},{"assistant_initiates":false,"asst_text":"The Federal Reserve | Central Bank | The governing body that oversees monetary policy in the United States, influential in setting economic conditions and interest rates.  \ninterest rates | Economic Indicator | The percentage charged on borrowed money, significant in influencing borrowing costs and economic activity.  \n2018 | Year | Past year relevant to historical financial and economic events, serving as a reference point for recent policy changes.  \nretirees | Demographic Group | Individuals who are typically older and rely on fixed incomes, often impacted by changes in interest rates and inflation.  \nmarket interest rates | Financial Metric | The prevailing rates in the financial markets, often influenced by central bank policies and affecting borrowing costs.  \nbond prices | Financial Asset | The cost of purchasing bonds, which can be affected by changes in interest rates, influencing investment returns.  \nshorter duration | Bond Feature | A characteristic of bonds indicating a lower sensitivity to interest rate changes, affecting risk and return profiles.  \nprotection | Financial Strategy | Measures taken to mitigate risk or minimize potential losses in investment portfolios.  \nbond investors | Investor Group | Individuals or entities investing in bonds, focusing on debt securities as investment vehicles.  \nsurging prices | Economic Condition | Rapidly increasing costs of goods and services, often indicative of inflationary pressures.  \ninflation | Economic Condition | The rate at which prices for goods and services rise, affecting purchasing power and economic policy.  \n7.9% | Percentage | A specific rate indicating the level of annual inflation, significant in economic analysis.  \nFebruary | Month | A specific time period in context of financial reporting and economic data release.  \n40-year high | Economic Milestone | A significant benchmark indicating an unusual or remarkable economic condition not seen in four decades.  \neveryday costs | Consumer Expenses | Routine expenditures for necessities like food, housing, and fuel, impacted by inflationary changes.  \ngroceries | Essential Goods | Staple food items required by consumers, with costs affected by inflation.  \nhousing | Essential Living Expense | Residential accommodation expenses, influenced by economic conditions and policy changes.  \ngasoline | Essential Commodity | Fuel for vehicles, impacted by economic and geopolitical factors affecting supply and demand.  \ncentral bank's quarter-point increase | Monetary Policy Action | A specific adjustment made by the central bank to influence economic conditions, represented by a 0.25% change.  \nfuture hikes | Prospective Policy Changes | Possible future adjustments in policy rates, anticipated to affect financial markets and economies.  \nretiree portfolios | Investment Holdings | Asset collections managed by retired individuals, often focused on preserving wealth and generating income.  \ninterest rate risk | Financial Risk | The potential for investment losses resulting from changes in interest rates, affecting bond and fixed-income securities.","behavior":"degenerate_repetition","conversation_hash":"c1e59583a2a26ef629eb562ec1051a8c","conversation_redacted":false,"conversation_toxic":false,"country":"South Africa","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":7483,"n_turns_in_conversation":1,"n_words":1098,"source_row_offset":38378,"source_shard":"turns-00050.parquet","timestamp":"Tue, 12 Nov 2024 14:28:00 GMT","turn_id":"cb067a44a9ccf2faca2a0c59","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<entity from the text> | <entity concept> | <description of entity group/concept>,\n<entity from the text> | <entity concept> | <description of entity group/concept>,\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: KEY POINTS: The Federal Reserve raised interest rates for the first time since 2018 to combat surging prices. This may affect retirees since market interest rates and bond prices typically move in opposite directions. Bonds with a shorter duration are less sensitive to rate changes and may offer some protection. Bond investors are watching as the Federal Reserve raises interest rates for the first time since 2018 to combat surging prices. Annual inflation rose by 7.9% in February , a new 40-year high, affecting everyday costs like groceries, housing and gasoline. The central bank's quarter-point increase on Wednesday may set the stage for future hikes, impacting retiree portfolios since market interest rates and bond prices typically move in opposite directions, known as interest rate risk. More from Personal\nAssistant:"}],"shard":{"index":50,"name":"turns-00050.parquet","rows":48033}}