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README.md
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# RubikBench
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RubikBench is an enterprise-scale financial database designed for realistic Natural Language to SQL (NL2SQL) research and evaluation.
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The RubikBench database contains the **financial** data of *APEX*, a hypothetical international **automobile** manufacturing and sales company. As a financial database, it is designed to support various analytical queries related to the company's operations, sales, and financial performance. This (imaginary) company operates mainly in China, the United States, and Europe. Therefore the database is bilingual, with both English and Chinese values, and uses three currencies: CNY, USD, and EUR. While the database values are synthesized, the schemas are closely modeled after real-world big enterprise financial databases.
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### 2.1 Overview
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- **Total Size**:
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- **Total Tables**: 20 tables
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- **Total Records**: 519.76 million rows
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- **Time Coverage**: Monthly from January 2020 to December 2025 (72 months)
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- **Languages**: Bilingual (English and Chinese)
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| **Period** | 1 | 72 months (202001-202512) |
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| **Region** | 6 | 2 overseas/domestic, 11 sales regions, 20 countries, 35 national areas, 44 provinces, 45 cities |
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| **Product** | 4 | 19 (Lv1), 93 (Lv2), 353 (Lv3) |
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| **Customer** |
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| **Dealer** |
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| **Report Item** | 4 | Varies by table: 6 (Lv1), 10 (Lv2), 22 (Lv3) |
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| **Contract** | 1 |
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| **Project** | 1 |
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| **Caliber** | 1 | 2 calibers (A, B) |
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| **Currency** | 1 | 3 currencies (CNY,
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# RubikBench
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> Database Homepage: [RubikBench](https://huggingface.co/datasets/Magolor/RubikBench)
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RubikBench is an enterprise-scale financial database designed for realistic Natural Language to SQL (NL2SQL) research and evaluation.
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The RubikBench database contains the **financial** data of *APEX*, a hypothetical international **automobile** manufacturing and sales company. As a financial database, it is designed to support various analytical queries related to the company's operations, sales, and financial performance. This (imaginary) company operates mainly in China, the United States, and Europe. Therefore the database is bilingual, with both English and Chinese values, and uses three currencies: CNY, USD, and EUR. While the database values are synthesized, the schemas are closely modeled after real-world big enterprise financial databases.
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### 2.1 Overview
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- **Total Size**: ~ 36 GB (DuckDB compressed format)
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- **Total Tables**: 20 tables
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- **Total Records**: ~ 519.76 million rows
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- **Time Coverage**: Monthly from January 2020 to December 2025 (72 months)
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- **Languages**: Bilingual (English and Chinese)
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|-----------|------------------|----------------|
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| **Period** | 1 | 72 months (202001-202512) |
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| **Region** | 6 | 2 overseas/domestic, 11 sales regions, 20 countries, 35 national areas, 44 provinces, 45 cities |
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| **Product** | 4 | 3 (Lv0), 19 (Lv1), 93 (Lv2), 353 (Lv3) |
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| **Customer** | 4 | 4 (Lv1), 9 (Lv2), 14 (Lv3), 22 (Lv4) |
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| **Dealer** | 3 | 2 (Lv1), 2 (Lv2), 3 (Lv3) |
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| **Report Item** | 4 | Varies by table: 2 (Lv0), 6 (Lv1), 10 (Lv2), 22 (Lv3) |
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| **Contract** | 1 | 45,799 distinct contracts |
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| **Project** | 1 | 50,639 distinct projects |
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| **Caliber** | 1 | 2 calibers (A, B) |
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| **Currency** | 1 | 3 currencies (CNY, EUR, USD) |
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<br/>
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