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Browse files- knowledge/README.md +27 -0
- knowledge/oracles/3QRA.txt +2 -0
- knowledge/oracles/APEX.txt +4 -0
- knowledge/oracles/Arab.txt +6 -0
- knowledge/oracles/BCR.txt +2 -0
- knowledge/oracles/BRICS.txt +1 -0
- knowledge/oracles/Breakdown.txt +2 -0
- knowledge/oracles/Budget-Forecast.txt +3 -0
- knowledge/oracles/CAGR.txt +1 -0
- knowledge/oracles/China-Coastal.txt +8 -0
- knowledge/oracles/Commonwealth.txt +3 -0
- knowledge/oracles/Double-Factor.txt +6 -0
- knowledge/oracles/East-Asia.txt +2 -0
- knowledge/oracles/Europe.txt +2 -0
- knowledge/oracles/Forecast-Accuracy.txt +2 -0
- knowledge/oracles/G20.txt +14 -0
- knowledge/oracles/G7.txt +2 -0
- knowledge/oracles/HHI.txt +4 -0
- knowledge/oracles/Half-year.txt +1 -0
- knowledge/oracles/Income.txt +2 -0
- knowledge/oracles/Inflection.txt +3 -0
- knowledge/oracles/Period.txt +1 -0
- knowledge/oracles/Profit.txt +4 -0
- knowledge/oracles/Quarter.txt +1 -0
- knowledge/oracles/ROI.txt +7 -0
- knowledge/oracles/Star.txt +2 -0
- knowledge/oracles/US-West-Coast.txt +9 -0
- knowledge/oracles/Volatility.txt +1 -0
- knowledge/oracles/decline.txt +2 -0
- knowledge/synonyms.yml +1873 -0
- queries/RubikBench.json +0 -0
- queries/query_tags.yaml +44 -0
knowledge/README.md
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# RubikBench
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## Database Description
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RubikBench is a database containing the **financial** data of *APEX*, an (imaginary) 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.
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Specifically, there are **6 key dimensions**: *Period* (time, monthly), *Product*, *Region*, *Customer*, *Dealer*, and *Report Item* (revenues and expenses). Also, there are extra dimensions including: *Contract*, *Project*, *Currency*, and *Caliber*.
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The minimal granularity of the data is a **payment** of a **project**. Each **project** happens between APEX and a **customer** at a specific **region**, with an optional **dealer**, over a **period** of time. Payments of a project can be distributed over multiple months in that time period. Each project may contain multiple **products**. Each **contract** may contain multiple projects.
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RubikBench contains **20 tables** of **4 major categories**, all of them are aggregated views over the fact table (which is not exposed directly):
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- The `INCOME` tables, which contain data aggregated over **project** and **dealer**, and only includes revenues. The INCOME tables are the smallest tables in RubikBench, aiming for quick analytical queries.
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- The `BUDGET_AND_FORECAST` tables, which contain data aggregated over **project**, **customer**, and **dealer**. These tables contain amt/forecast/budget/target values. Notice that the semantics of these values could be counter-intuitive: While the target value is the target for monthly revenues and expenses in `YYYYMM`, as one would expect; the forecast value of `YYYYMM` is the forecast of `YYYY12` (yearly) based on the information available at the end of `YYYYMM`; the budget of `YYYYMM` is a constant value indicating the yearly budget duplicated for each month in the year.
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- The `PROFIT_AND_LOSS` table, which contains data aggregated only over **project**. It contains the most comprehensive dimensions and measures, including both revenues and expenses. It is the largest table in RubikBench, aiming to support detailed financial analysis.
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- The `SALES_LEDGER` table, which contains the lowest granularity data, i.e., payment-level data. It is designed to support detailed audit and traceability of sales. However, it is limited to sales-related revenues and expenses only.
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The products of APEX are divided into **3 major divisions**: *Automobiles*, *Accessories*, and *Services*.
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- *Automobiles* are produced by enterprise brand groups, which are **6 sub-brands** under APEX. Each brand group has its own `INCOME` and `BUDGET_AND_FORECAST` tables.
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- *Accessories* and *Services* each have their own `INCOME` and `BUDGET_AND_FORECAST` tables. Accessories only have equipment revenues and costs, while services only have service revenues and costs.
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The default Caliber is code *A*, which clearly separates equipment and service report items, reflecting the real financial statistics. However, to facilitate the cooperation between different divisions, there are also Caliber *B*, which moves 5% of service revenue to equipment revenue.
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Notice that due to historical reasons as well as query efficiency expectations, currencies and calibers are organized differently across different tables. For example, for the INCOME and PROFIT_AND_LOSS tables, different currencies and calibers are stored in different columns as column name suffixes (e.g., `_cny_a`, `_usd_a`, `_eur_b`, etc.); while for the SALES_LEDGER and BUDGET_AND_FORECAST tables, `caliber` and `currency` are separate columns that MUST be filtered on in the query predicates to avoid duplicated results.
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Financial amounts presents both `ptd` (monthly) values and `ytd` (year-to-date) values. For example, `ptd` of `YYYYMM` means the amount for that month, while `ytd` of `YYYYMM` means the cumulative amount from `YYYY01` to `YYYYMM` (inclusive). Furthermore, `_py` columns contain previous year data, which means that, for exammple, `ytd` py columns with `period='YYYYMM'` contain cumulative amounts from `YYYY-1 01` to `YYYY-1 MM`, etc.
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<br/>
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knowledge/oracles/3QRA.txt
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Three-quarter Rolling Average (3QRA) means computing quarterly trend and then center-averaging it over three quarters (unless explicitly stated as "trailing" 3QRA, which averages over the last three quarters).
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For example, to compute the 3QRA of revenue for Q3 2023, first find the quarterly revenues for Q2 2023 (202306 ytd - 202303 ytd), Q3 2023 (202309 ytd - 202306 ytd), and Q4 2023 (202312 ytd - 202309 ytd), then average them. Notice that for Q1 3QRA, you would use Q4 of the previous year, which need as far as 06 ytd data of the previous year.
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knowledge/oracles/APEX.txt
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This is a database containing the **financial** data of *APEX*, an (imaginary) international **automobile** manufacturing and sales company. Specifically, there are **6 key dimensions**: *Period* (time, monthly), *Product*, *Region*, *Customer*, *Dealer*, and *Report Item* (revenues and expenses). Also, there are extra dimensions including: *Contract*, *Project*, *Currency*, and *Caliber*. The minimal granularity of the data is a **payment** of a **project**. Each **project** happens between APEX and a **customer** at a specific **region**, with an optional **dealer**, over a **period** of time. Payments of a project can be distributed over multiple months in that time period. Each project may contain multiple **products**. Each **contract** may contain multiple projects.
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The products of APEX are divided into **3 major divisions**: *Automobiles*, *Accessories*, and *Services*. *Automobiles* are produced by enterprise brand groups, which are **6 sub-brands** under APEX. Each brand group has its own `INCOME` and `BUDGET_AND_FORECAST` tables. *Accessories* and *Services* each have their own `INCOME` and `BUDGET_AND_FORECAST` tables. Accessories only have equipment revenues and costs, while services only have service revenues and costs.
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Financial amounts presents both `ptd` (monthly) values and `ytd` (year-to-date) values. For example, `ptd` of `YYYYMM` means the amount for that month, while `ytd` of `YYYYMM` means the cumulative amount from `YYYY01` to `YYYYMM` (inclusive). Furthermore, `_py` columns contain previous year data, which means that, for exammple, `ytd` py columns with `period='YYYYMM'` contain cumulative amounts from `YYYY-1 01` to `YYYY-1 MM`, etc.
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When users query about factual knowledge (e.g., locate a sales office or find projects and contracts), always use SALES_LEDGER for most dimensions, as this is the most comprehensive; PROFIT_AND_LOSS has comprehensive information for report items.
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knowledge/oracles/Arab.txt
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Arab countries are nations where Arabic is the official or primary language, and they are members of the Arab League.
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Among the 22 countries in the database with APEX sales offices, 3 are Arab countries:
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- Egypt (sales_region_name_en = 'Africa')
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- Saudi Arabia (sales_region_name_en = 'Middle East')
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- United Arab Emirates (sales_region_name_en = 'Middle East')
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Note: Egypt is in the Africa sales region, while Saudi Arabia and UAE are in the Middle East sales region.
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knowledge/oracles/BCR.txt
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Budget Completion Rate = Expense / Budget (for each expense or revenue report item)
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Notice that the budget is only a yearly constant, so the expense or revenue should be ytd.
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knowledge/oracles/BRICS.txt
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The BRICS countries include Brazil, Russia, India, China, and South Africa.
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knowledge/oracles/Breakdown.txt
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Breakdown Analysis refers to splitting the total report item value by a specific dimension. For example, when querying about East Asia sales and requesting a breakdown by Country, the response should include sales figures for each country within East Asia, such as Japan and South Korea.
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For each entity in the breakdown, retrieve the corresponding value current period, previous year period, calculate current ratios (partial / total), and compute Year-over-Year (YoY) changes (sorted DESC). Finally, the result should be unioned with the total amount and total YoY as the last row, to provided a comparative baseline.
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knowledge/oracles/Budget-Forecast.txt
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When the user asks about "budget", "forecast", "target", or any estimated report items, use `BUDGET_AND_FORECAST_*`.
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Notice that in these tables, you should ALWAYS filter by `currency` and `caliber` columns in all queries. Unless explicitly instructed otherwise, use `currency='CNY'` if the user asks about only China, `currency='EUR'` for only European countries, and `currency='USD'` by default. Similarly, use `caliber='A'` by default.
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Notice that the semantics of these values could be counter-intuitive: While the target value is the target for monthly revenues and expenses in `YYYYMM`, as one would expect; the forecast value of `YYYYMM` is the forecast of `YYYY12` (yearly) based on the information available at the end of `YYYYMM`; the budget of `YYYYMM` is a constant value indicating the yearly budget duplicated for each month in the year.
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knowledge/oracles/CAGR.txt
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The CAGR metric (Compound Annual Growth Rate) is computed by `(<value at end year> / <value at start year>)^(1 / number of years) - 1`. For example, a three-year CAGR on 2025 means `(ytd 202512 / ytd 202212)^(1/3) - 1`.
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knowledge/oracles/China-Coastal.txt
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China's Coastal Provinces refer to provinces that have coastlines along the Pacific Ocean. These provinces are typically more economically developed due to maritime trade and access to international markets.
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In the APEX database, the following Chinese coastal provinces are represented:
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- Guangdong (South China Sea, Pearl River Delta, includes Guangzhou and Shenzhen)
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- Shanghai (East China Sea, Yangtze River Delta, major financial center - municipality with provincial status)
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- Tianjin (Bohai Sea, near Beijing - municipality with provincial status)
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Note: While other Chinese coastal provinces exist, only the above 3 are present in the APEX database.
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knowledge/oracles/Commonwealth.txt
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The Commonwealth of Nations (often simply called the Commonwealth) is a political association of countries, most of which were formerly part of the British Empire.
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Among the 22 countries in the database with APEX sales offices, 5 are Commonwealth members: United Kingdom, Canada, Australia, India, and South Africa.
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These Commonwealth countries are located in diverse sales regions: Western Europe (United Kingdom), North America (Canada), Oceania (Australia), East Asia (India), and Africa (South Africa).
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knowledge/oracles/Double-Factor.txt
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The Revenue-Margin Double Factor Analysis (DFA) intends to decompose the contribution to growth by influence of revenue distribution change and margin change separately. This is achieved by introducing two factors: the "Structure Factor" and the "Margin Factor".
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Specifically, to perform DFA on a specific condition's specific dimension (e.g., countries within a sales region), we first caculate its revenue, revenue last year, expense, expense last year for all members of the dimension (all countries within the sales region). Then, we compute margin of each member and overall, ratio of each member's revenue to overall revenue (structure weight). Finally, we can compute the Structure Factor and Margin Factor as follows:
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- Structure Factor of a member: (Rev Ratio - Rev Ratio Last Year) * (Margin Last Year - Overall Margin Last Year)
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- Margin Factor of a member: Rev Ratio * (Margin - Margin Last Year)
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Finally, the Compound Effect = Structure Factor + Margin Factor. Usually, the margins, ratios, factors and compound effect are expressed as percentages. Order the results by Compound Effect descendingly to see which members contribute most to growth (even in cases of total decline, still use descending order).
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Similarly, for Equipment DFA, use "Equipment Revenue" and "Equipment Cost" instead of "Revenue" and "Expense"; for Sales DFA, use "Net Sales Revenue" and "Cost of Sales"; for Service DFA, use "Service Revenue" and "Service Cost".
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knowledge/oracles/East-Asia.txt
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East Asia means sales_region_name_en="East Asia", which includes three countries with sales offices: Japan, South Korea, and India.
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Notice that though China is geographically in East Asia, it is NOT considered part of the East Asia sales region but rather an independent sales region due to its large market volume. Similarly, India is geographically in South Asia but is grouped under East Asia for sales purposes.
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knowledge/oracles/Europe.txt
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Europe includes four sales regions: Western Europe, Southern Europe, Eastern Europe and Nordic. Specifically, there are 9 countries with APEX sales offices: Germany, United Kingdom, France, Netherlands, Ireland, Denmark, Finland, Italy and Russia.
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Among the 9 countries, United Kingdom and Russia are NOT European Union (EU) members, the other 7 countries are EU members. Be aware of the distinction between Europe and EU when answering user questions.
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knowledge/oracles/Forecast-Accuracy.txt
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Forecast Accuracy per month = 1 - ABS(Yearly Forecast - Yearly Actual) / Yearly Actual
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Remember that Forecast of YYYYMM is the forecast value of the WHOLE YEAR based on YYYYMM's data, so only when YYYY12's real amount is available can we compute the accuracy.
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knowledge/oracles/G20.txt
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The G20 (Group of Twenty) is an international forum for the governments and central bank governors from 19 countries and the European Union, representing the world's major economies.
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Among the 22 countries in the database with APEX sales offices, 16 are G20 members:
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- North America: United States, Canada
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- Latin America: Brazil, Argentina
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- Western Europe: United Kingdom, Germany, France
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- Southern Europe: Italy
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- Eastern Europe: Russia
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- China: China
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- East Asia: Japan, India, South Korea
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- Oceania: Australia
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- Middle East: Saudi Arabia
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- Africa: South Africa
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Note: The G20 includes the EU as a member, plus the 19 individual countries. EU should not be counted as a separate country, and Indonesia, Mexico, Turkey are not present in APEX database.
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So we should identify the 16 G20 countries listed above when asked about G20 countries in the APEX database.
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knowledge/oracles/G7.txt
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The G7 (Group of Seven) countries include United States, Canada, Japan, Germany, France, United Kingdom, and Italy.
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These are the seven major advanced economies in the world that meet to discuss and coordinate on significant global economic issues.
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knowledge/oracles/HHI.txt
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HHI (Herfindahl–Hirschman Index) is a standard measure of market concentration: for any set of regions/products/customers/..., the HHI is computed by summing the squares of the shares of items in the set.
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Notice that when computing concentration, the result should be just the sum of squared shares, which does not multiply 10,000; when reporting HHI, it is common to multiply the result by 10,000.
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For example, when asking about sales regions' revenue HHI, compute the revenue share of each sales region, square them, and sum them up to get the HHI.
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When asking about things like top-10 contract revenue HHI, compute the revenue share of each of the top-10 contracts, square them, and sum them up to get the HHI (which is smaller than the overall contract revenue HHI).
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knowledge/oracles/Half-year.txt
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Half-yearly data should be aggregated at 06 and 12 month ends, H1 = ytd 06, H2 = ytd 12 - ytd 06.
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knowledge/oracles/Income.txt
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When the user asks about "income", "revenue" or any real amount report items, use the `INCOME_*` tables or `SALES_LEDGER`. The `INCOME_*` tables contain aggregated statistics, while `SALES_LEDGER` contains project, contract and dealers information.
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Notice that in INCOME tables and SALES_LEDGER, you should ALWAYS select the column(s) with the correct currency and caliber in the name. Unless explicitly instructed otherwise, use `_cny` if the user asks about only China, `_eur` for only European countries, and `_usd` by default. Similarly, use caliber `_a` by default.
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knowledge/oracles/Inflection.txt
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Inflection points during trend analysis means the points where the trend changes direction, such as from increasing to decreasing or vice versa.
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Typically, e.g., when there's a monthly revenue column, if current month revenue is smaller than previous month revenue, it's a decreasing trend; if it's larger, it's an increasing trend. An inflection point is where this pattern changes: if last month was increasing and this month is decreasing, that's an inflection point.
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Use "inflection" column with "Y" or "N" to indicate whether an inflection point occurs in the current period compared to the previous period.
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knowledge/oracles/Period.txt
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The database only contains data from 202001 to 202512. For queries beyond this time range, respond with a single cell table by: `SELECT 'Date out of range' AS Message;`. When a query time is provided in the question or context, make sure only to use data prior to the query time. For example, if querying about "yearly revenue" at 202408, only use data from 202401 to 202408 (inclusive) to calculate the yearly revenue for 2024. Similarly, if querying about "2024 income" at 2023, reject with a single cell table: `SELECT 'Date out of range' AS Message;`.
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knowledge/oracles/Profit.txt
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(Net) Profit = Revenue (lv0) - Expense (lv0)
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Profit Margin = Profit / Revenue
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Equipment Profit = Equipment Revenue (lv2) - Equipment Cost (lv2)
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Service Profit = Service Revenue (lv2) - Service Cost (lv2)
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knowledge/oracles/Quarter.txt
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Quarterly data should be aggregated at 03, 06, 09, and 12 month ends, e.g., Q2 = ptd 04 + ptd 05 + ptd 06 = ytd 06 - ytd 03.
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knowledge/oracles/ROI.txt
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The ROI is computed as the ratio of the net profit to the cost of the investment, expressed as a percentage.
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For example, the Equipment ROI is (Equipment Revenue - Equipment Cost) / Equipment Cost * 100%.
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Similarly, Sales ROI is calculated as (Net Sales Revenue - Cost of Sales) / Cost of Sales * 100%.
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Total ROI is calculated as (Total Revenue - Total Expense) / Total Expense * 100%.
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By default the ROI is considered total ROI unless specified otherwise (e.g., Equipment ROI, Sales ROI).
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Usually you should display ROI as a percentage with 3 decimal places.
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When comparing ROIs across different periods (e.g., YoY, QoQ, MoM), usually PP (Percentage Point) is used by default, which only computes the difference between two ROIs, unless specified otherwise (e.g., Percentage Change).
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knowledge/oracles/Star.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
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|
|
| 1 |
+
A Star product is a product that has been growing with > 10% QoQ revenue growth for at least 3 consecutive quarters (the growth must be lasting until the query date).
|
| 2 |
+
For example, when querying about 2023 Q3 star products, the filter condition should be that all of 2023 Q3, 2023 Q2, and 2023 Q1 have > 10% QoQ revenue growth.
|
knowledge/oracles/US-West-Coast.txt
ADDED
|
@@ -0,0 +1,9 @@
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|
| 1 |
+
The US West Coast refers to the westernmost states of the United States, bordering the Pacific Ocean. These states are known for their technology industries, entertainment, and innovation hubs.
|
| 2 |
+
|
| 3 |
+
In the APEX database, the following US West Coast states are represented:
|
| 4 |
+
- California (largest economy among US states, home to Silicon Valley, Hollywood, major tech companies)
|
| 5 |
+
- Washington (home to Seattle, major tech hub with companies like Microsoft and Amazon)
|
| 6 |
+
|
| 7 |
+
Other West Coast states not in the database include Oregon.
|
| 8 |
+
|
| 9 |
+
Note: Some analyses also include Western states like Nevada and Arizona as part of the "Western US" region, but the term "West Coast" specifically refers to Pacific-bordering states. Texas is sometimes considered a tech hub but is in the South/Southwest region, not the West Coast.
|
knowledge/oracles/Volatility.txt
ADDED
|
@@ -0,0 +1 @@
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| 1 |
+
When assessing the Volatility/Stability of growth, we use: Volatility = Standard Deviation of Growth Rates.
|
knowledge/oracles/decline.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
When counting revenue "decline" for dimensions, only show the ones with negative growth compared to the prior period.
|
| 2 |
+
This behavior is different from "growth" which shows all the growth rates (regardless of positive or negative).
|
knowledge/synonyms.yml
ADDED
|
@@ -0,0 +1,1873 @@
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|
|
|
| 1 |
+
# RubikBench English Synonyms
|
| 2 |
+
# 同义词配置文件 - 用于自然语言查询中的词汇匹配
|
| 3 |
+
# 格式: standard_word 为标准词,synonyms 为同义词列表
|
| 4 |
+
|
| 5 |
+
# ================== 区域维度 - Regions ==================
|
| 6 |
+
|
| 7 |
+
# 国内外标志 - Overseas Flag
|
| 8 |
+
- standard_word: Domestic
|
| 9 |
+
synonyms:
|
| 10 |
+
- Local
|
| 11 |
+
- Home Market
|
| 12 |
+
- Inland
|
| 13 |
+
type: enum
|
| 14 |
+
field: overseas_flag_name_en
|
| 15 |
+
- standard_word: Overseas
|
| 16 |
+
synonyms:
|
| 17 |
+
- Foreign
|
| 18 |
+
- International
|
| 19 |
+
- Export
|
| 20 |
+
type: enum
|
| 21 |
+
field: overseas_flag_name_en
|
| 22 |
+
|
| 23 |
+
# 销售大区 - Sales Regions
|
| 24 |
+
- standard_word: East Asia
|
| 25 |
+
synonyms:
|
| 26 |
+
- Eastern Asia
|
| 27 |
+
- Asia East
|
| 28 |
+
type: enum
|
| 29 |
+
field: sales_region_name_en
|
| 30 |
+
- standard_word: Latin America
|
| 31 |
+
synonyms:
|
| 32 |
+
- LATAM
|
| 33 |
+
- South America
|
| 34 |
+
- Central and South America
|
| 35 |
+
type: enum
|
| 36 |
+
field: sales_region_name_en
|
| 37 |
+
- standard_word: China
|
| 38 |
+
synonyms:
|
| 39 |
+
- CN Region
|
| 40 |
+
- Chinese Market
|
| 41 |
+
type: enum
|
| 42 |
+
field: sales_region_name_en
|
| 43 |
+
- standard_word: North America
|
| 44 |
+
synonyms:
|
| 45 |
+
- NA
|
| 46 |
+
- NAM
|
| 47 |
+
type: enum
|
| 48 |
+
field: sales_region_name_en
|
| 49 |
+
- standard_word: Oceania
|
| 50 |
+
synonyms:
|
| 51 |
+
- Australia Region
|
| 52 |
+
- Pacific Region
|
| 53 |
+
type: enum
|
| 54 |
+
field: sales_region_name_en
|
| 55 |
+
- standard_word: Western Europe
|
| 56 |
+
synonyms:
|
| 57 |
+
- West Europe
|
| 58 |
+
- WE
|
| 59 |
+
type: enum
|
| 60 |
+
field: sales_region_name_en
|
| 61 |
+
- standard_word: Southern Europe
|
| 62 |
+
synonyms:
|
| 63 |
+
- South Europe
|
| 64 |
+
- SE Europe
|
| 65 |
+
type: enum
|
| 66 |
+
field: sales_region_name_en
|
| 67 |
+
- standard_word: Eastern Europe
|
| 68 |
+
synonyms:
|
| 69 |
+
- East Europe
|
| 70 |
+
- EE
|
| 71 |
+
type: enum
|
| 72 |
+
field: sales_region_name_en
|
| 73 |
+
- standard_word: Nordic Region
|
| 74 |
+
synonyms:
|
| 75 |
+
- Nordics
|
| 76 |
+
- Scandinavia
|
| 77 |
+
type: enum
|
| 78 |
+
field: sales_region_name_en
|
| 79 |
+
- standard_word: Africa
|
| 80 |
+
synonyms:
|
| 81 |
+
- African Region
|
| 82 |
+
- AFR
|
| 83 |
+
type: enum
|
| 84 |
+
field: sales_region_name_en
|
| 85 |
+
- standard_word: Middle East
|
| 86 |
+
synonyms:
|
| 87 |
+
- ME
|
| 88 |
+
- MENA
|
| 89 |
+
type: enum
|
| 90 |
+
field: sales_region_name_en
|
| 91 |
+
|
| 92 |
+
# 国家 - Countries
|
| 93 |
+
- standard_word: Argentina
|
| 94 |
+
synonyms:
|
| 95 |
+
- AR
|
| 96 |
+
- ARG
|
| 97 |
+
type: enum
|
| 98 |
+
field: country_name_en
|
| 99 |
+
- standard_word: Australia
|
| 100 |
+
synonyms:
|
| 101 |
+
- AU
|
| 102 |
+
- AUS
|
| 103 |
+
- Aussie
|
| 104 |
+
type: enum
|
| 105 |
+
field: country_name_en
|
| 106 |
+
- standard_word: Brazil
|
| 107 |
+
synonyms:
|
| 108 |
+
- BR
|
| 109 |
+
- BRA
|
| 110 |
+
type: enum
|
| 111 |
+
field: country_name_en
|
| 112 |
+
- standard_word: Canada
|
| 113 |
+
synonyms:
|
| 114 |
+
- CA
|
| 115 |
+
- CAN
|
| 116 |
+
type: enum
|
| 117 |
+
field: country_name_en
|
| 118 |
+
- standard_word: China
|
| 119 |
+
synonyms:
|
| 120 |
+
- CN
|
| 121 |
+
- PRC
|
| 122 |
+
- People's Republic of China
|
| 123 |
+
type: enum
|
| 124 |
+
field: country_name_en
|
| 125 |
+
- standard_word: Denmark
|
| 126 |
+
synonyms:
|
| 127 |
+
- DK
|
| 128 |
+
- DNK
|
| 129 |
+
type: enum
|
| 130 |
+
field: country_name_en
|
| 131 |
+
- standard_word: Egypt
|
| 132 |
+
synonyms:
|
| 133 |
+
- EG
|
| 134 |
+
- EGY
|
| 135 |
+
type: enum
|
| 136 |
+
field: country_name_en
|
| 137 |
+
- standard_word: Finland
|
| 138 |
+
synonyms:
|
| 139 |
+
- FI
|
| 140 |
+
- FIN
|
| 141 |
+
type: enum
|
| 142 |
+
field: country_name_en
|
| 143 |
+
- standard_word: France
|
| 144 |
+
synonyms:
|
| 145 |
+
- FR
|
| 146 |
+
- FRA
|
| 147 |
+
type: enum
|
| 148 |
+
field: country_name_en
|
| 149 |
+
- standard_word: Germany
|
| 150 |
+
synonyms:
|
| 151 |
+
- DE
|
| 152 |
+
- Deutschland
|
| 153 |
+
type: enum
|
| 154 |
+
field: country_name_en
|
| 155 |
+
- standard_word: India
|
| 156 |
+
synonyms:
|
| 157 |
+
- IN
|
| 158 |
+
- IND
|
| 159 |
+
type: enum
|
| 160 |
+
field: country_name_en
|
| 161 |
+
- standard_word: Ireland
|
| 162 |
+
synonyms:
|
| 163 |
+
- IE
|
| 164 |
+
- IRL
|
| 165 |
+
type: enum
|
| 166 |
+
field: country_name_en
|
| 167 |
+
- standard_word: Italy
|
| 168 |
+
synonyms:
|
| 169 |
+
- IT
|
| 170 |
+
- ITA
|
| 171 |
+
type: enum
|
| 172 |
+
field: country_name_en
|
| 173 |
+
- standard_word: Japan
|
| 174 |
+
synonyms:
|
| 175 |
+
- JP
|
| 176 |
+
- JPN
|
| 177 |
+
type: enum
|
| 178 |
+
field: country_name_en
|
| 179 |
+
- standard_word: Netherlands
|
| 180 |
+
synonyms:
|
| 181 |
+
- NL
|
| 182 |
+
- Holland
|
| 183 |
+
type: enum
|
| 184 |
+
field: country_name_en
|
| 185 |
+
- standard_word: Russia
|
| 186 |
+
synonyms:
|
| 187 |
+
- RU
|
| 188 |
+
- RUS
|
| 189 |
+
type: enum
|
| 190 |
+
field: country_name_en
|
| 191 |
+
- standard_word: Saudi Arabia
|
| 192 |
+
synonyms:
|
| 193 |
+
- SA
|
| 194 |
+
- KSA
|
| 195 |
+
type: enum
|
| 196 |
+
field: country_name_en
|
| 197 |
+
- standard_word: South Africa
|
| 198 |
+
synonyms:
|
| 199 |
+
- ZA
|
| 200 |
+
- RSA
|
| 201 |
+
type: enum
|
| 202 |
+
field: country_name_en
|
| 203 |
+
- standard_word: South Korea
|
| 204 |
+
synonyms:
|
| 205 |
+
- Korea
|
| 206 |
+
- SK
|
| 207 |
+
- KR
|
| 208 |
+
type: enum
|
| 209 |
+
field: country_name_en
|
| 210 |
+
- standard_word: United Arab Emirates
|
| 211 |
+
synonyms:
|
| 212 |
+
- UAE
|
| 213 |
+
- Emirates
|
| 214 |
+
type: enum
|
| 215 |
+
field: country_name_en
|
| 216 |
+
- standard_word: United Kingdom
|
| 217 |
+
synonyms:
|
| 218 |
+
- UK
|
| 219 |
+
- Britain
|
| 220 |
+
- GB
|
| 221 |
+
type: enum
|
| 222 |
+
field: country_name_en
|
| 223 |
+
- standard_word: United States
|
| 224 |
+
synonyms:
|
| 225 |
+
- USA
|
| 226 |
+
- US
|
| 227 |
+
- America
|
| 228 |
+
type: enum
|
| 229 |
+
field: country_name_en
|
| 230 |
+
|
| 231 |
+
# 大区 - National Areas (中国)
|
| 232 |
+
- standard_word: Central China
|
| 233 |
+
synonyms:
|
| 234 |
+
- Central Region
|
| 235 |
+
type: enum
|
| 236 |
+
field: national_area_name_en
|
| 237 |
+
- standard_word: East China
|
| 238 |
+
synonyms:
|
| 239 |
+
- Eastern China
|
| 240 |
+
- East Region
|
| 241 |
+
type: enum
|
| 242 |
+
field: national_area_name_en
|
| 243 |
+
- standard_word: North China
|
| 244 |
+
synonyms:
|
| 245 |
+
- Northern China
|
| 246 |
+
- North Region
|
| 247 |
+
type: enum
|
| 248 |
+
field: national_area_name_en
|
| 249 |
+
- standard_word: Northwest
|
| 250 |
+
synonyms:
|
| 251 |
+
- Northwest China
|
| 252 |
+
- NW Region
|
| 253 |
+
type: enum
|
| 254 |
+
field: national_area_name_en
|
| 255 |
+
- standard_word: South China
|
| 256 |
+
synonyms:
|
| 257 |
+
- Southern China
|
| 258 |
+
- South Region
|
| 259 |
+
type: enum
|
| 260 |
+
field: national_area_name_en
|
| 261 |
+
|
| 262 |
+
# 大区 - National Areas (美国)
|
| 263 |
+
- standard_word: US West
|
| 264 |
+
synonyms:
|
| 265 |
+
- Western US
|
| 266 |
+
- West Coast
|
| 267 |
+
- American West
|
| 268 |
+
type: enum
|
| 269 |
+
field: national_area_name_en
|
| 270 |
+
- standard_word: US Midwest
|
| 271 |
+
synonyms:
|
| 272 |
+
- Midwest
|
| 273 |
+
- Middle West
|
| 274 |
+
- Central US
|
| 275 |
+
type: enum
|
| 276 |
+
field: national_area_name_en
|
| 277 |
+
- standard_word: US Northeast
|
| 278 |
+
synonyms:
|
| 279 |
+
- Northeast
|
| 280 |
+
- Northeastern US
|
| 281 |
+
- East Coast
|
| 282 |
+
type: enum
|
| 283 |
+
field: national_area_name_en
|
| 284 |
+
- standard_word: US South
|
| 285 |
+
synonyms:
|
| 286 |
+
- South
|
| 287 |
+
- Southern US
|
| 288 |
+
- American South
|
| 289 |
+
type: enum
|
| 290 |
+
field: national_area_name_en
|
| 291 |
+
|
| 292 |
+
# 大区 - National Areas (德国)
|
| 293 |
+
- standard_word: Berlin-Brandenburg
|
| 294 |
+
synonyms:
|
| 295 |
+
- Berlin Region
|
| 296 |
+
- Brandenburg
|
| 297 |
+
type: enum
|
| 298 |
+
field: national_area_name_en
|
| 299 |
+
- standard_word: Southern Germany
|
| 300 |
+
synonyms:
|
| 301 |
+
- South Germany
|
| 302 |
+
- Süddeutschland
|
| 303 |
+
type: enum
|
| 304 |
+
field: national_area_name_en
|
| 305 |
+
|
| 306 |
+
# 大区 - National Areas (日本)
|
| 307 |
+
- standard_word: Kanto
|
| 308 |
+
synonyms:
|
| 309 |
+
- Kanto Region
|
| 310 |
+
- Greater Tokyo Area
|
| 311 |
+
type: enum
|
| 312 |
+
field: national_area_name_en
|
| 313 |
+
- standard_word: Kansai
|
| 314 |
+
synonyms:
|
| 315 |
+
- Kansai Region
|
| 316 |
+
- Kinki Region
|
| 317 |
+
type: enum
|
| 318 |
+
field: national_area_name_en
|
| 319 |
+
|
| 320 |
+
# 大区 - National Areas (其他)
|
| 321 |
+
- standard_word: England
|
| 322 |
+
synonyms:
|
| 323 |
+
- English Region
|
| 324 |
+
type: enum
|
| 325 |
+
field: national_area_name_en
|
| 326 |
+
- standard_word: Île-de-France
|
| 327 |
+
synonyms:
|
| 328 |
+
- Paris Region
|
| 329 |
+
- IDF
|
| 330 |
+
type: enum
|
| 331 |
+
field: national_area_name_en
|
| 332 |
+
- standard_word: Auvergne-Rhône-Alpes
|
| 333 |
+
synonyms:
|
| 334 |
+
- Lyon Region
|
| 335 |
+
- ARA
|
| 336 |
+
type: enum
|
| 337 |
+
field: national_area_name_en
|
| 338 |
+
- standard_word: Lombardy
|
| 339 |
+
synonyms:
|
| 340 |
+
- Lombardia
|
| 341 |
+
type: enum
|
| 342 |
+
field: national_area_name_en
|
| 343 |
+
- standard_word: Lazio
|
| 344 |
+
synonyms:
|
| 345 |
+
- Latium
|
| 346 |
+
type: enum
|
| 347 |
+
field: national_area_name_en
|
| 348 |
+
- standard_word: Ontario
|
| 349 |
+
synonyms:
|
| 350 |
+
- ON
|
| 351 |
+
type: enum
|
| 352 |
+
field: national_area_name_en
|
| 353 |
+
- standard_word: British Columbia
|
| 354 |
+
synonyms:
|
| 355 |
+
- BC
|
| 356 |
+
type: enum
|
| 357 |
+
field: national_area_name_en
|
| 358 |
+
- standard_word: Victoria
|
| 359 |
+
synonyms:
|
| 360 |
+
- VIC
|
| 361 |
+
type: enum
|
| 362 |
+
field: national_area_name_en
|
| 363 |
+
- standard_word: New South Wales
|
| 364 |
+
synonyms:
|
| 365 |
+
- NSW
|
| 366 |
+
type: enum
|
| 367 |
+
field: national_area_name_en
|
| 368 |
+
- standard_word: Leinster
|
| 369 |
+
synonyms:
|
| 370 |
+
- Dublin Region
|
| 371 |
+
type: enum
|
| 372 |
+
field: national_area_name_en
|
| 373 |
+
- standard_word: North Holland
|
| 374 |
+
synonyms:
|
| 375 |
+
- Noord-Holland
|
| 376 |
+
type: enum
|
| 377 |
+
field: national_area_name_en
|
| 378 |
+
- standard_word: Capital Region
|
| 379 |
+
synonyms:
|
| 380 |
+
- Copenhagen Region
|
| 381 |
+
- Hovedstaden
|
| 382 |
+
type: enum
|
| 383 |
+
field: national_area_name_en
|
| 384 |
+
- standard_word: Uusimaa
|
| 385 |
+
synonyms:
|
| 386 |
+
- Helsinki Region
|
| 387 |
+
type: enum
|
| 388 |
+
field: national_area_name_en
|
| 389 |
+
|
| 390 |
+
# 城市 - Cities (中国)
|
| 391 |
+
- standard_word: Beijing
|
| 392 |
+
synonyms:
|
| 393 |
+
- BJ
|
| 394 |
+
- Peking
|
| 395 |
+
type: enum
|
| 396 |
+
field: city_name_en
|
| 397 |
+
- standard_word: Shanghai
|
| 398 |
+
synonyms:
|
| 399 |
+
- SH
|
| 400 |
+
type: enum
|
| 401 |
+
field: city_name_en
|
| 402 |
+
- standard_word: Guangzhou
|
| 403 |
+
synonyms:
|
| 404 |
+
- GZ
|
| 405 |
+
- Canton
|
| 406 |
+
type: enum
|
| 407 |
+
field: city_name_en
|
| 408 |
+
- standard_word: Wuhan
|
| 409 |
+
synonyms:
|
| 410 |
+
- WH
|
| 411 |
+
type: enum
|
| 412 |
+
field: city_name_en
|
| 413 |
+
- standard_word: Changsha
|
| 414 |
+
synonyms:
|
| 415 |
+
- CS
|
| 416 |
+
type: enum
|
| 417 |
+
field: city_name_en
|
| 418 |
+
- standard_word: Shijiazhuang
|
| 419 |
+
synonyms:
|
| 420 |
+
- SJZ
|
| 421 |
+
type: enum
|
| 422 |
+
field: city_name_en
|
| 423 |
+
- standard_word: Nanning
|
| 424 |
+
synonyms:
|
| 425 |
+
- NN
|
| 426 |
+
type: enum
|
| 427 |
+
field: city_name_en
|
| 428 |
+
- standard_word: Tianjin
|
| 429 |
+
synonyms:
|
| 430 |
+
- TJ
|
| 431 |
+
type: enum
|
| 432 |
+
field: city_name_en
|
| 433 |
+
- standard_word: Dunhuang
|
| 434 |
+
synonyms:
|
| 435 |
+
- DH
|
| 436 |
+
type: enum
|
| 437 |
+
field: city_name_en
|
| 438 |
+
|
| 439 |
+
# 城市 - Cities (美国)
|
| 440 |
+
- standard_word: New York City
|
| 441 |
+
synonyms:
|
| 442 |
+
- NYC
|
| 443 |
+
- New York
|
| 444 |
+
- NY
|
| 445 |
+
type: enum
|
| 446 |
+
field: city_name_en
|
| 447 |
+
- standard_word: Los Angeles
|
| 448 |
+
synonyms:
|
| 449 |
+
- LA
|
| 450 |
+
- LAX
|
| 451 |
+
type: enum
|
| 452 |
+
field: city_name_en
|
| 453 |
+
- standard_word: San Francisco
|
| 454 |
+
synonyms:
|
| 455 |
+
- SF
|
| 456 |
+
- SFO
|
| 457 |
+
type: enum
|
| 458 |
+
field: city_name_en
|
| 459 |
+
- standard_word: Chicago
|
| 460 |
+
synonyms:
|
| 461 |
+
- CHI
|
| 462 |
+
- ORD
|
| 463 |
+
type: enum
|
| 464 |
+
field: city_name_en
|
| 465 |
+
- standard_word: Dallas
|
| 466 |
+
synonyms:
|
| 467 |
+
- DFW
|
| 468 |
+
type: enum
|
| 469 |
+
field: city_name_en
|
| 470 |
+
- standard_word: Miami
|
| 471 |
+
synonyms:
|
| 472 |
+
- MIA
|
| 473 |
+
type: enum
|
| 474 |
+
field: city_name_en
|
| 475 |
+
- standard_word: Seattle
|
| 476 |
+
synonyms:
|
| 477 |
+
- SEA
|
| 478 |
+
type: enum
|
| 479 |
+
field: city_name_en
|
| 480 |
+
- standard_word: Phoenix
|
| 481 |
+
synonyms:
|
| 482 |
+
- PHX
|
| 483 |
+
type: enum
|
| 484 |
+
field: city_name_en
|
| 485 |
+
- standard_word: Las Vegas
|
| 486 |
+
synonyms:
|
| 487 |
+
- LV
|
| 488 |
+
- Vegas
|
| 489 |
+
type: enum
|
| 490 |
+
field: city_name_en
|
| 491 |
+
|
| 492 |
+
# 城市 - Cities (欧洲)
|
| 493 |
+
- standard_word: London
|
| 494 |
+
synonyms:
|
| 495 |
+
- LON
|
| 496 |
+
- LDN
|
| 497 |
+
type: enum
|
| 498 |
+
field: city_name_en
|
| 499 |
+
- standard_word: Manchester
|
| 500 |
+
synonyms:
|
| 501 |
+
- MAN
|
| 502 |
+
type: enum
|
| 503 |
+
field: city_name_en
|
| 504 |
+
- standard_word: Paris
|
| 505 |
+
synonyms:
|
| 506 |
+
- PAR
|
| 507 |
+
type: enum
|
| 508 |
+
field: city_name_en
|
| 509 |
+
- standard_word: Lyon
|
| 510 |
+
synonyms:
|
| 511 |
+
- LYS
|
| 512 |
+
type: enum
|
| 513 |
+
field: city_name_en
|
| 514 |
+
- standard_word: Berlin
|
| 515 |
+
synonyms:
|
| 516 |
+
- BER
|
| 517 |
+
type: enum
|
| 518 |
+
field: city_name_en
|
| 519 |
+
- standard_word: Munich
|
| 520 |
+
synonyms:
|
| 521 |
+
- MUC
|
| 522 |
+
- Munchen
|
| 523 |
+
type: enum
|
| 524 |
+
field: city_name_en
|
| 525 |
+
- standard_word: Amsterdam
|
| 526 |
+
synonyms:
|
| 527 |
+
- AMS
|
| 528 |
+
type: enum
|
| 529 |
+
field: city_name_en
|
| 530 |
+
- standard_word: Milan
|
| 531 |
+
synonyms:
|
| 532 |
+
- MIL
|
| 533 |
+
- Milano
|
| 534 |
+
type: enum
|
| 535 |
+
field: city_name_en
|
| 536 |
+
- standard_word: Rome
|
| 537 |
+
synonyms:
|
| 538 |
+
- ROM
|
| 539 |
+
- Roma
|
| 540 |
+
type: enum
|
| 541 |
+
field: city_name_en
|
| 542 |
+
- standard_word: Moscow
|
| 543 |
+
synonyms:
|
| 544 |
+
- MOW
|
| 545 |
+
type: enum
|
| 546 |
+
field: city_name_en
|
| 547 |
+
- standard_word: Copenhagen
|
| 548 |
+
synonyms:
|
| 549 |
+
- CPH
|
| 550 |
+
type: enum
|
| 551 |
+
field: city_name_en
|
| 552 |
+
- standard_word: Helsinki
|
| 553 |
+
synonyms:
|
| 554 |
+
- HEL
|
| 555 |
+
type: enum
|
| 556 |
+
field: city_name_en
|
| 557 |
+
- standard_word: Dublin
|
| 558 |
+
synonyms:
|
| 559 |
+
- DUB
|
| 560 |
+
type: enum
|
| 561 |
+
field: city_name_en
|
| 562 |
+
|
| 563 |
+
# 城市 - Cities (亚洲)
|
| 564 |
+
- standard_word: Tokyo
|
| 565 |
+
synonyms:
|
| 566 |
+
- TYO
|
| 567 |
+
type: enum
|
| 568 |
+
field: city_name_en
|
| 569 |
+
- standard_word: Osaka
|
| 570 |
+
synonyms:
|
| 571 |
+
- OSA
|
| 572 |
+
- KIX
|
| 573 |
+
type: enum
|
| 574 |
+
field: city_name_en
|
| 575 |
+
- standard_word: Seoul
|
| 576 |
+
synonyms:
|
| 577 |
+
- SEL
|
| 578 |
+
- ICN
|
| 579 |
+
type: enum
|
| 580 |
+
field: city_name_en
|
| 581 |
+
- standard_word: Busan
|
| 582 |
+
synonyms:
|
| 583 |
+
- PUS
|
| 584 |
+
type: enum
|
| 585 |
+
field: city_name_en
|
| 586 |
+
- standard_word: Mumbai
|
| 587 |
+
synonyms:
|
| 588 |
+
- BOM
|
| 589 |
+
- Bombay
|
| 590 |
+
type: enum
|
| 591 |
+
field: city_name_en
|
| 592 |
+
- standard_word: Delhi
|
| 593 |
+
synonyms:
|
| 594 |
+
- DEL
|
| 595 |
+
- New Delhi
|
| 596 |
+
type: enum
|
| 597 |
+
field: city_name_en
|
| 598 |
+
- standard_word: Dubai
|
| 599 |
+
synonyms:
|
| 600 |
+
- DXB
|
| 601 |
+
type: enum
|
| 602 |
+
field: city_name_en
|
| 603 |
+
- standard_word: Riyadh
|
| 604 |
+
synonyms:
|
| 605 |
+
- RUH
|
| 606 |
+
type: enum
|
| 607 |
+
field: city_name_en
|
| 608 |
+
|
| 609 |
+
# 城市 - Cities (大洋洲)
|
| 610 |
+
- standard_word: Sydney
|
| 611 |
+
synonyms:
|
| 612 |
+
- SYD
|
| 613 |
+
type: enum
|
| 614 |
+
field: city_name_en
|
| 615 |
+
- standard_word: Melbourne
|
| 616 |
+
synonyms:
|
| 617 |
+
- MEL
|
| 618 |
+
type: enum
|
| 619 |
+
field: city_name_en
|
| 620 |
+
|
| 621 |
+
# 城市 - Cities (南美洲)
|
| 622 |
+
- standard_word: Buenos Aires
|
| 623 |
+
synonyms:
|
| 624 |
+
- BA
|
| 625 |
+
- BUE
|
| 626 |
+
type: enum
|
| 627 |
+
field: city_name_en
|
| 628 |
+
- standard_word: Sao Paulo
|
| 629 |
+
synonyms:
|
| 630 |
+
- SP
|
| 631 |
+
- São Paulo
|
| 632 |
+
- GRU
|
| 633 |
+
type: enum
|
| 634 |
+
field: city_name_en
|
| 635 |
+
|
| 636 |
+
# 城市 - Cities (非洲)
|
| 637 |
+
- standard_word: Cairo
|
| 638 |
+
synonyms:
|
| 639 |
+
- CAI
|
| 640 |
+
type: enum
|
| 641 |
+
field: city_name_en
|
| 642 |
+
- standard_word: Johannesburg
|
| 643 |
+
synonyms:
|
| 644 |
+
- JNB
|
| 645 |
+
- Joburg
|
| 646 |
+
type: enum
|
| 647 |
+
field: city_name_en
|
| 648 |
+
|
| 649 |
+
# 城市 - Cities (加拿大)
|
| 650 |
+
- standard_word: Toronto
|
| 651 |
+
synonyms:
|
| 652 |
+
- YYZ
|
| 653 |
+
- TO
|
| 654 |
+
type: enum
|
| 655 |
+
field: city_name_en
|
| 656 |
+
- standard_word: Vancouver
|
| 657 |
+
synonyms:
|
| 658 |
+
- YVR
|
| 659 |
+
- VAN
|
| 660 |
+
type: enum
|
| 661 |
+
field: city_name_en
|
| 662 |
+
|
| 663 |
+
# ================== 经销商维度 - Channels ==================
|
| 664 |
+
|
| 665 |
+
# 经销商一级 - Dealer Level 1
|
| 666 |
+
- standard_word: Proprietary Channel
|
| 667 |
+
synonyms:
|
| 668 |
+
- Proprietary
|
| 669 |
+
- Own Channel
|
| 670 |
+
- Direct Channel
|
| 671 |
+
type: enum
|
| 672 |
+
field: dealer_lv1_name_en
|
| 673 |
+
- standard_word: Syndicate Channel
|
| 674 |
+
synonyms:
|
| 675 |
+
- Syndicate
|
| 676 |
+
- Partner Channel
|
| 677 |
+
- Alliance Channel
|
| 678 |
+
type: enum
|
| 679 |
+
field: dealer_lv1_name_en
|
| 680 |
+
|
| 681 |
+
# 经销商二级 - Dealer Level 2
|
| 682 |
+
- standard_word: Apex National Distribution
|
| 683 |
+
synonyms:
|
| 684 |
+
- Apex National
|
| 685 |
+
- AND
|
| 686 |
+
type: enum
|
| 687 |
+
field: dealer_lv2_name_en
|
| 688 |
+
- standard_word: Apex Zenith Operations
|
| 689 |
+
synonyms:
|
| 690 |
+
- Apex Zenith
|
| 691 |
+
- AZO
|
| 692 |
+
type: enum
|
| 693 |
+
field: dealer_lv2_name_en
|
| 694 |
+
- standard_word: Horizon Exchange Collective
|
| 695 |
+
synonyms:
|
| 696 |
+
- Horizon Exchange
|
| 697 |
+
- HEC
|
| 698 |
+
type: enum
|
| 699 |
+
field: dealer_lv2_name_en
|
| 700 |
+
- standard_word: Nebula Logistics Syndicate
|
| 701 |
+
synonyms:
|
| 702 |
+
- Nebula Logistics
|
| 703 |
+
- NLS
|
| 704 |
+
type: enum
|
| 705 |
+
field: dealer_lv2_name_en
|
| 706 |
+
|
| 707 |
+
# 经销商三级 - Dealer Level 3
|
| 708 |
+
- standard_word: Apex Obsidian Network
|
| 709 |
+
synonyms:
|
| 710 |
+
- Obsidian Network
|
| 711 |
+
- AON
|
| 712 |
+
type: enum
|
| 713 |
+
field: dealer_lv3_name_en
|
| 714 |
+
- standard_word: Apex Vanguard Network
|
| 715 |
+
synonyms:
|
| 716 |
+
- Vanguard Network
|
| 717 |
+
- AVN
|
| 718 |
+
type: enum
|
| 719 |
+
field: dealer_lv3_name_en
|
| 720 |
+
- standard_word: Apex Zenith Frontier
|
| 721 |
+
synonyms:
|
| 722 |
+
- Zenith Frontier
|
| 723 |
+
- AZF
|
| 724 |
+
type: enum
|
| 725 |
+
field: dealer_lv3_name_en
|
| 726 |
+
- standard_word: Horizon Aurora Sector
|
| 727 |
+
synonyms:
|
| 728 |
+
- Aurora Sector
|
| 729 |
+
- HAS
|
| 730 |
+
type: enum
|
| 731 |
+
field: dealer_lv3_name_en
|
| 732 |
+
- standard_word: Horizon Meridian Sector
|
| 733 |
+
synonyms:
|
| 734 |
+
- Meridian Sector
|
| 735 |
+
- HMS
|
| 736 |
+
type: enum
|
| 737 |
+
field: dealer_lv3_name_en
|
| 738 |
+
- standard_word: Horizon Prime Sector
|
| 739 |
+
synonyms:
|
| 740 |
+
- Prime Sector
|
| 741 |
+
- HPS
|
| 742 |
+
type: enum
|
| 743 |
+
field: dealer_lv3_name_en
|
| 744 |
+
- standard_word: Nebula Northern Quadrant
|
| 745 |
+
synonyms:
|
| 746 |
+
- Northern Quadrant
|
| 747 |
+
- NNQ
|
| 748 |
+
type: enum
|
| 749 |
+
field: dealer_lv3_name_en
|
| 750 |
+
- standard_word: Nebula Southern Quadrant
|
| 751 |
+
synonyms:
|
| 752 |
+
- Southern Quadrant
|
| 753 |
+
- NSQ
|
| 754 |
+
type: enum
|
| 755 |
+
field: dealer_lv3_name_en
|
| 756 |
+
|
| 757 |
+
# ================== 客户维度 - Customers ==================
|
| 758 |
+
|
| 759 |
+
# 客户一级 - Customer Level 1
|
| 760 |
+
- standard_word: Enterprise
|
| 761 |
+
synonyms:
|
| 762 |
+
- ENT
|
| 763 |
+
type: enum
|
| 764 |
+
field: cust_lv1_name_en
|
| 765 |
+
- standard_word: Enterprise Group
|
| 766 |
+
synonyms:
|
| 767 |
+
- EG
|
| 768 |
+
type: enum
|
| 769 |
+
field: cust_lv1_name_en
|
| 770 |
+
- standard_word: Enterprise Subsidiary
|
| 771 |
+
synonyms:
|
| 772 |
+
- ES
|
| 773 |
+
type: enum
|
| 774 |
+
field: cust_lv1_name_en
|
| 775 |
+
- standard_word: Large Enterprise Group
|
| 776 |
+
synonyms:
|
| 777 |
+
- LEG
|
| 778 |
+
- Large Enterprise
|
| 779 |
+
type: enum
|
| 780 |
+
field: cust_lv1_name_en
|
| 781 |
+
|
| 782 |
+
# 客户二级 - Customer Level 2
|
| 783 |
+
- standard_word: Aurora Nexus Corporation
|
| 784 |
+
synonyms:
|
| 785 |
+
- ANC
|
| 786 |
+
- Aurora Nexus
|
| 787 |
+
type: enum
|
| 788 |
+
field: cust_lv2_name_en
|
| 789 |
+
- standard_word: Crimson Horizon Group
|
| 790 |
+
synonyms:
|
| 791 |
+
- CHG
|
| 792 |
+
- Crimson Horizon
|
| 793 |
+
type: enum
|
| 794 |
+
field: cust_lv2_name_en
|
| 795 |
+
- standard_word: Eclipse Forge Industries
|
| 796 |
+
synonyms:
|
| 797 |
+
- EFI
|
| 798 |
+
type: enum
|
| 799 |
+
field: cust_lv2_name_en
|
| 800 |
+
- standard_word: Enterprise Group
|
| 801 |
+
synonyms:
|
| 802 |
+
- EG
|
| 803 |
+
type: enum
|
| 804 |
+
field: cust_lv2_name_en
|
| 805 |
+
- standard_word: Nebula Dynamics Consortium
|
| 806 |
+
synonyms:
|
| 807 |
+
- NDC
|
| 808 |
+
type: enum
|
| 809 |
+
field: cust_lv2_name_en
|
| 810 |
+
- standard_word: Obsidian Vanguard Enterprises
|
| 811 |
+
synonyms:
|
| 812 |
+
- OVE
|
| 813 |
+
type: enum
|
| 814 |
+
field: cust_lv2_name_en
|
| 815 |
+
- standard_word: Quantum Pinnacle Alliance
|
| 816 |
+
synonyms:
|
| 817 |
+
- QPA
|
| 818 |
+
type: enum
|
| 819 |
+
field: cust_lv2_name_en
|
| 820 |
+
- standard_word: Subsidiary Group
|
| 821 |
+
synonyms:
|
| 822 |
+
- SG
|
| 823 |
+
type: enum
|
| 824 |
+
field: cust_lv2_name_en
|
| 825 |
+
- standard_word: Titan Forge Holdings
|
| 826 |
+
synonyms:
|
| 827 |
+
- TFH
|
| 828 |
+
type: enum
|
| 829 |
+
field: cust_lv2_name_en
|
| 830 |
+
|
| 831 |
+
# ================== 产品维度 - Products ==================
|
| 832 |
+
|
| 833 |
+
# 产品大类 - Product Category
|
| 834 |
+
- standard_word: Accessories
|
| 835 |
+
synonyms:
|
| 836 |
+
- Parts
|
| 837 |
+
- Components
|
| 838 |
+
- Auto Parts
|
| 839 |
+
type: enum
|
| 840 |
+
field: prod_lv0_name_en
|
| 841 |
+
- standard_word: Automobiles
|
| 842 |
+
synonyms:
|
| 843 |
+
- Vehicles
|
| 844 |
+
- Cars
|
| 845 |
+
- Autos
|
| 846 |
+
type: enum
|
| 847 |
+
field: prod_lv0_name_en
|
| 848 |
+
- standard_word: Services
|
| 849 |
+
synonyms:
|
| 850 |
+
- Service Products
|
| 851 |
+
- Service Items
|
| 852 |
+
type: enum
|
| 853 |
+
field: prod_lv0_name_en
|
| 854 |
+
|
| 855 |
+
# 产品一级 - Product Level 1
|
| 856 |
+
- standard_word: After-Sales
|
| 857 |
+
synonyms:
|
| 858 |
+
- Aftersales
|
| 859 |
+
- Post-Sales
|
| 860 |
+
type: enum
|
| 861 |
+
field: prod_lv1_name_en
|
| 862 |
+
- standard_word: Body and Exterior
|
| 863 |
+
synonyms:
|
| 864 |
+
- Body Parts
|
| 865 |
+
- Exterior Parts
|
| 866 |
+
type: enum
|
| 867 |
+
field: prod_lv1_name_en
|
| 868 |
+
- standard_word: Braking System
|
| 869 |
+
synonyms:
|
| 870 |
+
- Brake System
|
| 871 |
+
- Brakes
|
| 872 |
+
type: enum
|
| 873 |
+
field: prod_lv1_name_en
|
| 874 |
+
- standard_word: Climate Control
|
| 875 |
+
synonyms:
|
| 876 |
+
- HVAC
|
| 877 |
+
- AC System
|
| 878 |
+
type: enum
|
| 879 |
+
field: prod_lv1_name_en
|
| 880 |
+
- standard_word: Cyberdyne Vehicle Systems
|
| 881 |
+
synonyms:
|
| 882 |
+
- CVS
|
| 883 |
+
- Cyberdyne
|
| 884 |
+
type: enum
|
| 885 |
+
field: prod_lv1_name_en
|
| 886 |
+
- standard_word: Drivetrain
|
| 887 |
+
synonyms:
|
| 888 |
+
- Powertrain
|
| 889 |
+
- Drive System
|
| 890 |
+
type: enum
|
| 891 |
+
field: prod_lv1_name_en
|
| 892 |
+
- standard_word: Electrical System
|
| 893 |
+
synonyms:
|
| 894 |
+
- Electronics
|
| 895 |
+
- Electrical
|
| 896 |
+
type: enum
|
| 897 |
+
field: prod_lv1_name_en
|
| 898 |
+
- standard_word: Engine System
|
| 899 |
+
synonyms:
|
| 900 |
+
- Engine
|
| 901 |
+
- Motor System
|
| 902 |
+
type: enum
|
| 903 |
+
field: prod_lv1_name_en
|
| 904 |
+
- standard_word: Finance
|
| 905 |
+
synonyms:
|
| 906 |
+
- Financial Services
|
| 907 |
+
- Financing
|
| 908 |
+
type: enum
|
| 909 |
+
field: prod_lv1_name_en
|
| 910 |
+
- standard_word: Galactic Motors Group
|
| 911 |
+
synonyms:
|
| 912 |
+
- GMG
|
| 913 |
+
- Galactic Motors
|
| 914 |
+
type: enum
|
| 915 |
+
field: prod_lv1_name_en
|
| 916 |
+
- standard_word: Interior
|
| 917 |
+
synonyms:
|
| 918 |
+
- Interior Parts
|
| 919 |
+
- Cabin
|
| 920 |
+
type: enum
|
| 921 |
+
field: prod_lv1_name_en
|
| 922 |
+
- standard_word: Mobility Services
|
| 923 |
+
synonyms:
|
| 924 |
+
- Mobility
|
| 925 |
+
- Transport Services
|
| 926 |
+
type: enum
|
| 927 |
+
field: prod_lv1_name_en
|
| 928 |
+
- standard_word: Nova Dynamics
|
| 929 |
+
synonyms:
|
| 930 |
+
- ND
|
| 931 |
+
- Nova
|
| 932 |
+
type: enum
|
| 933 |
+
field: prod_lv1_name_en
|
| 934 |
+
- standard_word: Safety Systems
|
| 935 |
+
synonyms:
|
| 936 |
+
- Safety
|
| 937 |
+
- Safety Features
|
| 938 |
+
type: enum
|
| 939 |
+
field: prod_lv1_name_en
|
| 940 |
+
- standard_word: Shinra Motor Corp
|
| 941 |
+
synonyms:
|
| 942 |
+
- SMC
|
| 943 |
+
- Shinra Motors
|
| 944 |
+
type: enum
|
| 945 |
+
field: prod_lv1_name_en
|
| 946 |
+
- standard_word: Suspension and Steering
|
| 947 |
+
synonyms:
|
| 948 |
+
- Suspension
|
| 949 |
+
- Steering System
|
| 950 |
+
type: enum
|
| 951 |
+
field: prod_lv1_name_en
|
| 952 |
+
- standard_word: Tyrell Automotive Group
|
| 953 |
+
synonyms:
|
| 954 |
+
- TAG
|
| 955 |
+
- Tyrell Auto
|
| 956 |
+
type: enum
|
| 957 |
+
field: prod_lv1_name_en
|
| 958 |
+
- standard_word: Value-Added Services
|
| 959 |
+
synonyms:
|
| 960 |
+
- VAS
|
| 961 |
+
- Premium Services
|
| 962 |
+
type: enum
|
| 963 |
+
field: prod_lv1_name_en
|
| 964 |
+
- standard_word: Weyland Motors Corp
|
| 965 |
+
synonyms:
|
| 966 |
+
- WMC
|
| 967 |
+
- Weyland Motors
|
| 968 |
+
type: enum
|
| 969 |
+
field: prod_lv1_name_en
|
| 970 |
+
|
| 971 |
+
# 产品二级 - Product Level 2
|
| 972 |
+
- standard_word: ABS System
|
| 973 |
+
synonyms:
|
| 974 |
+
- AS
|
| 975 |
+
- ABS
|
| 976 |
+
type: enum
|
| 977 |
+
field: prod_lv2_name_en
|
| 978 |
+
- standard_word: AC System
|
| 979 |
+
synonyms:
|
| 980 |
+
- Air Conditioning
|
| 981 |
+
- AC
|
| 982 |
+
type: enum
|
| 983 |
+
field: prod_lv2_name_en
|
| 984 |
+
- standard_word: Acheron Classics
|
| 985 |
+
synonyms:
|
| 986 |
+
- AC
|
| 987 |
+
type: enum
|
| 988 |
+
field: prod_lv2_name_en
|
| 989 |
+
- standard_word: Airbags
|
| 990 |
+
synonyms:
|
| 991 |
+
- Air Bags
|
| 992 |
+
- SRS
|
| 993 |
+
type: enum
|
| 994 |
+
field: prod_lv2_name_en
|
| 995 |
+
- standard_word: Auto Loans
|
| 996 |
+
synonyms:
|
| 997 |
+
- AL
|
| 998 |
+
- Car Loans
|
| 999 |
+
type: enum
|
| 1000 |
+
field: prod_lv2_name_en
|
| 1001 |
+
- standard_word: Battery System
|
| 1002 |
+
synonyms:
|
| 1003 |
+
- BS
|
| 1004 |
+
- Battery
|
| 1005 |
+
type: enum
|
| 1006 |
+
field: prod_lv2_name_en
|
| 1007 |
+
- standard_word: Beskar Forge Autoworks
|
| 1008 |
+
synonyms:
|
| 1009 |
+
- Beskar Forge
|
| 1010 |
+
- BFA
|
| 1011 |
+
type: enum
|
| 1012 |
+
field: prod_lv2_name_en
|
| 1013 |
+
- standard_word: Body Panels
|
| 1014 |
+
synonyms:
|
| 1015 |
+
- BP
|
| 1016 |
+
type: enum
|
| 1017 |
+
field: prod_lv2_name_en
|
| 1018 |
+
- standard_word: Bradbury Dynamics
|
| 1019 |
+
synonyms:
|
| 1020 |
+
- BD
|
| 1021 |
+
type: enum
|
| 1022 |
+
field: prod_lv2_name_en
|
| 1023 |
+
- standard_word: Brake Components
|
| 1024 |
+
synonyms:
|
| 1025 |
+
- BC
|
| 1026 |
+
type: enum
|
| 1027 |
+
field: prod_lv2_name_en
|
| 1028 |
+
- standard_word: Bumpers and Grilles
|
| 1029 |
+
synonyms:
|
| 1030 |
+
- BAG
|
| 1031 |
+
type: enum
|
| 1032 |
+
field: prod_lv2_name_en
|
| 1033 |
+
- standard_word: Calpamos Mobility
|
| 1034 |
+
synonyms:
|
| 1035 |
+
- CM
|
| 1036 |
+
type: enum
|
| 1037 |
+
field: prod_lv2_name_en
|
| 1038 |
+
- standard_word: Car Sharing
|
| 1039 |
+
synonyms:
|
| 1040 |
+
- CS
|
| 1041 |
+
- Carsharing
|
| 1042 |
+
type: enum
|
| 1043 |
+
field: prod_lv2_name_en
|
| 1044 |
+
- standard_word: Celestia Circuitry
|
| 1045 |
+
synonyms:
|
| 1046 |
+
- CC
|
| 1047 |
+
type: enum
|
| 1048 |
+
field: prod_lv2_name_en
|
| 1049 |
+
- standard_word: Charging Solutions
|
| 1050 |
+
synonyms:
|
| 1051 |
+
- EV Charging
|
| 1052 |
+
- Charging
|
| 1053 |
+
type: enum
|
| 1054 |
+
field: prod_lv2_name_en
|
| 1055 |
+
- standard_word: ChronoDrive Innovations
|
| 1056 |
+
synonyms:
|
| 1057 |
+
- CI
|
| 1058 |
+
type: enum
|
| 1059 |
+
field: prod_lv2_name_en
|
| 1060 |
+
- standard_word: Co-Branded Credit Cards
|
| 1061 |
+
synonyms:
|
| 1062 |
+
- CCC
|
| 1063 |
+
- Credit Cards
|
| 1064 |
+
type: enum
|
| 1065 |
+
field: prod_lv2_name_en
|
| 1066 |
+
- standard_word: Control Modules
|
| 1067 |
+
synonyms:
|
| 1068 |
+
- CM
|
| 1069 |
+
type: enum
|
| 1070 |
+
field: prod_lv2_name_en
|
| 1071 |
+
- standard_word: Cooling System
|
| 1072 |
+
synonyms:
|
| 1073 |
+
- CS
|
| 1074 |
+
- Cooling
|
| 1075 |
+
type: enum
|
| 1076 |
+
field: prod_lv2_name_en
|
| 1077 |
+
- standard_word: Coruscant Cruisers
|
| 1078 |
+
synonyms:
|
| 1079 |
+
- Coruscant
|
| 1080 |
+
- CC
|
| 1081 |
+
type: enum
|
| 1082 |
+
field: prod_lv2_name_en
|
| 1083 |
+
- standard_word: Cosmo Dynamics
|
| 1084 |
+
synonyms:
|
| 1085 |
+
- CD
|
| 1086 |
+
type: enum
|
| 1087 |
+
field: prod_lv2_name_en
|
| 1088 |
+
- standard_word: Dashboard
|
| 1089 |
+
synonyms:
|
| 1090 |
+
- Dash
|
| 1091 |
+
- Instrument Panel
|
| 1092 |
+
type: enum
|
| 1093 |
+
field: prod_lv2_name_en
|
| 1094 |
+
- standard_word: Differential
|
| 1095 |
+
synonyms:
|
| 1096 |
+
- Diff
|
| 1097 |
+
type: enum
|
| 1098 |
+
field: prod_lv2_name_en
|
| 1099 |
+
- standard_word: Door Components
|
| 1100 |
+
synonyms:
|
| 1101 |
+
- DC
|
| 1102 |
+
type: enum
|
| 1103 |
+
field: prod_lv2_name_en
|
| 1104 |
+
- standard_word: Driveshaft
|
| 1105 |
+
synonyms:
|
| 1106 |
+
- Drive Shaft
|
| 1107 |
+
- DS
|
| 1108 |
+
type: enum
|
| 1109 |
+
field: prod_lv2_name_en
|
| 1110 |
+
- standard_word: Emblems and Trim
|
| 1111 |
+
synonyms:
|
| 1112 |
+
- EAT
|
| 1113 |
+
type: enum
|
| 1114 |
+
field: prod_lv2_name_en
|
| 1115 |
+
- standard_word: Endor Electrodrive
|
| 1116 |
+
synonyms:
|
| 1117 |
+
- Endor
|
| 1118 |
+
- EE
|
| 1119 |
+
type: enum
|
| 1120 |
+
field: prod_lv2_name_en
|
| 1121 |
+
- standard_word: Engine Core
|
| 1122 |
+
synonyms:
|
| 1123 |
+
- EC
|
| 1124 |
+
type: enum
|
| 1125 |
+
field: prod_lv2_name_en
|
| 1126 |
+
- standard_word: Esper Industrial
|
| 1127 |
+
synonyms:
|
| 1128 |
+
- EI
|
| 1129 |
+
type: enum
|
| 1130 |
+
field: prod_lv2_name_en
|
| 1131 |
+
- standard_word: Exhaust System
|
| 1132 |
+
synonyms:
|
| 1133 |
+
- ES
|
| 1134 |
+
- Exhaust
|
| 1135 |
+
type: enum
|
| 1136 |
+
field: prod_lv2_name_en
|
| 1137 |
+
- standard_word: Exterior Mirrors
|
| 1138 |
+
synonyms:
|
| 1139 |
+
- EM
|
| 1140 |
+
type: enum
|
| 1141 |
+
field: prod_lv2_name_en
|
| 1142 |
+
- standard_word: Fiorina Industrial
|
| 1143 |
+
synonyms:
|
| 1144 |
+
- FI
|
| 1145 |
+
type: enum
|
| 1146 |
+
field: prod_lv2_name_en
|
| 1147 |
+
- standard_word: Fuel System
|
| 1148 |
+
synonyms:
|
| 1149 |
+
- FS
|
| 1150 |
+
- Fuel
|
| 1151 |
+
type: enum
|
| 1152 |
+
field: prod_lv2_name_en
|
| 1153 |
+
- standard_word: Gaia Transport
|
| 1154 |
+
synonyms:
|
| 1155 |
+
- GT
|
| 1156 |
+
type: enum
|
| 1157 |
+
field: prod_lv2_name_en
|
| 1158 |
+
- standard_word: Genisys Smart
|
| 1159 |
+
synonyms:
|
| 1160 |
+
- GS
|
| 1161 |
+
type: enum
|
| 1162 |
+
field: prod_lv2_name_en
|
| 1163 |
+
- standard_word: Hades Motors
|
| 1164 |
+
synonyms:
|
| 1165 |
+
- HM
|
| 1166 |
+
type: enum
|
| 1167 |
+
field: prod_lv2_name_en
|
| 1168 |
+
- standard_word: Hadley's Hope
|
| 1169 |
+
synonyms:
|
| 1170 |
+
- HH
|
| 1171 |
+
type: enum
|
| 1172 |
+
field: prod_lv2_name_en
|
| 1173 |
+
- standard_word: Heating System
|
| 1174 |
+
synonyms:
|
| 1175 |
+
- HS
|
| 1176 |
+
- Heating
|
| 1177 |
+
type: enum
|
| 1178 |
+
field: prod_lv2_name_en
|
| 1179 |
+
- standard_word: Highwind Engineering
|
| 1180 |
+
synonyms:
|
| 1181 |
+
- HE
|
| 1182 |
+
type: enum
|
| 1183 |
+
field: prod_lv2_name_en
|
| 1184 |
+
- standard_word: Hoth Haulers
|
| 1185 |
+
synonyms:
|
| 1186 |
+
- Hoth
|
| 1187 |
+
- HH
|
| 1188 |
+
type: enum
|
| 1189 |
+
field: prod_lv2_name_en
|
| 1190 |
+
- standard_word: Hyperion Hybrids
|
| 1191 |
+
synonyms:
|
| 1192 |
+
- Hyperion
|
| 1193 |
+
- HH
|
| 1194 |
+
type: enum
|
| 1195 |
+
field: prod_lv2_name_en
|
| 1196 |
+
- standard_word: In-Car Entertainment
|
| 1197 |
+
synonyms:
|
| 1198 |
+
- IE
|
| 1199 |
+
- ICE
|
| 1200 |
+
type: enum
|
| 1201 |
+
field: prod_lv2_name_en
|
| 1202 |
+
- standard_word: Infiltrator Dynamics
|
| 1203 |
+
synonyms:
|
| 1204 |
+
- ID
|
| 1205 |
+
type: enum
|
| 1206 |
+
field: prod_lv2_name_en
|
| 1207 |
+
- standard_word: Insurance
|
| 1208 |
+
synonyms:
|
| 1209 |
+
- Auto Insurance
|
| 1210 |
+
- Car Insurance
|
| 1211 |
+
type: enum
|
| 1212 |
+
field: prod_lv2_name_en
|
| 1213 |
+
- standard_word: Intake System
|
| 1214 |
+
synonyms:
|
| 1215 |
+
- IS
|
| 1216 |
+
- Intake
|
| 1217 |
+
type: enum
|
| 1218 |
+
field: prod_lv2_name_en
|
| 1219 |
+
- standard_word: Interior Lighting
|
| 1220 |
+
synonyms:
|
| 1221 |
+
- IL
|
| 1222 |
+
type: enum
|
| 1223 |
+
field: prod_lv2_name_en
|
| 1224 |
+
- standard_word: Judgment Racing
|
| 1225 |
+
synonyms:
|
| 1226 |
+
- JR
|
| 1227 |
+
type: enum
|
| 1228 |
+
field: prod_lv2_name_en
|
| 1229 |
+
- standard_word: Kalm Mobility
|
| 1230 |
+
synonyms:
|
| 1231 |
+
- KM
|
| 1232 |
+
type: enum
|
| 1233 |
+
field: prod_lv2_name_en
|
| 1234 |
+
- standard_word: Leasing
|
| 1235 |
+
synonyms:
|
| 1236 |
+
- Auto Leasing
|
| 1237 |
+
- Car Lease
|
| 1238 |
+
type: enum
|
| 1239 |
+
field: prod_lv2_name_en
|
| 1240 |
+
- standard_word: Legion Fleet
|
| 1241 |
+
synonyms:
|
| 1242 |
+
- LF
|
| 1243 |
+
type: enum
|
| 1244 |
+
field: prod_lv2_name_en
|
| 1245 |
+
- standard_word: Lighting System
|
| 1246 |
+
synonyms:
|
| 1247 |
+
- LS
|
| 1248 |
+
- Lighting
|
| 1249 |
+
type: enum
|
| 1250 |
+
field: prod_lv2_name_en
|
| 1251 |
+
- standard_word: Maintenance Packages
|
| 1252 |
+
synonyms:
|
| 1253 |
+
- MP
|
| 1254 |
+
type: enum
|
| 1255 |
+
field: prod_lv2_name_en
|
| 1256 |
+
- standard_word: Mako Electric
|
| 1257 |
+
synonyms:
|
| 1258 |
+
- Mako
|
| 1259 |
+
- ME
|
| 1260 |
+
type: enum
|
| 1261 |
+
field: prod_lv2_name_en
|
| 1262 |
+
- standard_word: Mandalorian Motors
|
| 1263 |
+
synonyms:
|
| 1264 |
+
- Mando Motors
|
| 1265 |
+
- MM
|
| 1266 |
+
type: enum
|
| 1267 |
+
field: prod_lv2_name_en
|
| 1268 |
+
- standard_word: Membership Services
|
| 1269 |
+
synonyms:
|
| 1270 |
+
- MS
|
| 1271 |
+
type: enum
|
| 1272 |
+
field: prod_lv2_name_en
|
| 1273 |
+
- standard_word: Midgar Motors
|
| 1274 |
+
synonyms:
|
| 1275 |
+
- Midgar
|
| 1276 |
+
- MGM
|
| 1277 |
+
type: enum
|
| 1278 |
+
field: prod_lv2_name_en
|
| 1279 |
+
- standard_word: Naboo Nimbus
|
| 1280 |
+
synonyms:
|
| 1281 |
+
- Naboo
|
| 1282 |
+
- NN
|
| 1283 |
+
type: enum
|
| 1284 |
+
field: prod_lv2_name_en
|
| 1285 |
+
- standard_word: Navigation Services
|
| 1286 |
+
synonyms:
|
| 1287 |
+
- NS
|
| 1288 |
+
- Nav
|
| 1289 |
+
type: enum
|
| 1290 |
+
field: prod_lv2_name_en
|
| 1291 |
+
- standard_word: Nebula NX Concepts
|
| 1292 |
+
synonyms:
|
| 1293 |
+
- Nebula NX
|
| 1294 |
+
- NNX
|
| 1295 |
+
type: enum
|
| 1296 |
+
field: prod_lv2_name_en
|
| 1297 |
+
- standard_word: Nexus Systems
|
| 1298 |
+
synonyms:
|
| 1299 |
+
- Nexus
|
| 1300 |
+
- NS
|
| 1301 |
+
type: enum
|
| 1302 |
+
field: prod_lv2_name_en
|
| 1303 |
+
- standard_word: Nibelheim Motors
|
| 1304 |
+
synonyms:
|
| 1305 |
+
- NM
|
| 1306 |
+
type: enum
|
| 1307 |
+
field: prod_lv2_name_en
|
| 1308 |
+
- standard_word: Nostromo Heavy
|
| 1309 |
+
synonyms:
|
| 1310 |
+
- Nostromo
|
| 1311 |
+
- NH
|
| 1312 |
+
type: enum
|
| 1313 |
+
field: prod_lv2_name_en
|
| 1314 |
+
- standard_word: OTA Upgrades
|
| 1315 |
+
synonyms:
|
| 1316 |
+
- OU
|
| 1317 |
+
- Over-The-Air
|
| 1318 |
+
type: enum
|
| 1319 |
+
field: prod_lv2_name_en
|
| 1320 |
+
- standard_word: Off-World Mobility
|
| 1321 |
+
synonyms:
|
| 1322 |
+
- OM
|
| 1323 |
+
type: enum
|
| 1324 |
+
field: prod_lv2_name_en
|
| 1325 |
+
- standard_word: Photon Phaeton Works
|
| 1326 |
+
synonyms:
|
| 1327 |
+
- PPW
|
| 1328 |
+
type: enum
|
| 1329 |
+
field: prod_lv2_name_en
|
| 1330 |
+
- standard_word: Prometheus Performance
|
| 1331 |
+
synonyms:
|
| 1332 |
+
- Prometheus
|
| 1333 |
+
- PP
|
| 1334 |
+
type: enum
|
| 1335 |
+
field: prod_lv2_name_en
|
| 1336 |
+
- standard_word: Quantum Quattro Systems
|
| 1337 |
+
synonyms:
|
| 1338 |
+
- Quantum Quattro
|
| 1339 |
+
- QQS
|
| 1340 |
+
type: enum
|
| 1341 |
+
field: prod_lv2_name_en
|
| 1342 |
+
- standard_word: Replicant Motors
|
| 1343 |
+
synonyms:
|
| 1344 |
+
- Replicant
|
| 1345 |
+
- RM
|
| 1346 |
+
type: enum
|
| 1347 |
+
field: prod_lv2_name_en
|
| 1348 |
+
- standard_word: Resistance Motors
|
| 1349 |
+
synonyms:
|
| 1350 |
+
- Resistance
|
| 1351 |
+
- RM
|
| 1352 |
+
type: enum
|
| 1353 |
+
field: prod_lv2_name_en
|
| 1354 |
+
- standard_word: Roadside Assistance
|
| 1355 |
+
synonyms:
|
| 1356 |
+
- RA
|
| 1357 |
+
type: enum
|
| 1358 |
+
field: prod_lv2_name_en
|
| 1359 |
+
- standard_word: Safety Features
|
| 1360 |
+
synonyms:
|
| 1361 |
+
- SF
|
| 1362 |
+
type: enum
|
| 1363 |
+
field: prod_lv2_name_en
|
| 1364 |
+
- standard_word: Seating System
|
| 1365 |
+
synonyms:
|
| 1366 |
+
- SS
|
| 1367 |
+
- Seating
|
| 1368 |
+
type: enum
|
| 1369 |
+
field: prod_lv2_name_en
|
| 1370 |
+
- standard_word: Sebastian Performance
|
| 1371 |
+
synonyms:
|
| 1372 |
+
- SP
|
| 1373 |
+
type: enum
|
| 1374 |
+
field: prod_lv2_name_en
|
| 1375 |
+
- standard_word: Sensors
|
| 1376 |
+
synonyms:
|
| 1377 |
+
- Sensor System
|
| 1378 |
+
type: enum
|
| 1379 |
+
field: prod_lv2_name_en
|
| 1380 |
+
- standard_word: Skynet Automotive
|
| 1381 |
+
synonyms:
|
| 1382 |
+
- Skynet
|
| 1383 |
+
- SA
|
| 1384 |
+
type: enum
|
| 1385 |
+
field: prod_lv2_name_en
|
| 1386 |
+
- standard_word: Skywalker Speedworks
|
| 1387 |
+
synonyms:
|
| 1388 |
+
- Skywalker
|
| 1389 |
+
- SS
|
| 1390 |
+
type: enum
|
| 1391 |
+
field: prod_lv2_name_en
|
| 1392 |
+
- standard_word: Steering
|
| 1393 |
+
synonyms:
|
| 1394 |
+
- Steering Components
|
| 1395 |
+
type: enum
|
| 1396 |
+
field: prod_lv2_name_en
|
| 1397 |
+
- standard_word: Steering System
|
| 1398 |
+
synonyms:
|
| 1399 |
+
- SS
|
| 1400 |
+
type: enum
|
| 1401 |
+
field: prod_lv2_name_en
|
| 1402 |
+
- standard_word: Stellaris SynthCars
|
| 1403 |
+
synonyms:
|
| 1404 |
+
- SS
|
| 1405 |
+
type: enum
|
| 1406 |
+
field: prod_lv2_name_en
|
| 1407 |
+
- standard_word: Sulaco Series
|
| 1408 |
+
synonyms:
|
| 1409 |
+
- SS
|
| 1410 |
+
type: enum
|
| 1411 |
+
field: prod_lv2_name_en
|
| 1412 |
+
- standard_word: Suspension
|
| 1413 |
+
synonyms:
|
| 1414 |
+
- Suspension Components
|
| 1415 |
+
type: enum
|
| 1416 |
+
field: prod_lv2_name_en
|
| 1417 |
+
- standard_word: Tatooine TerrainTech
|
| 1418 |
+
synonyms:
|
| 1419 |
+
- Tatooine Tech
|
| 1420 |
+
- TTT
|
| 1421 |
+
type: enum
|
| 1422 |
+
field: prod_lv2_name_en
|
| 1423 |
+
- standard_word: TechCom Off-Road
|
| 1424 |
+
synonyms:
|
| 1425 |
+
- TO
|
| 1426 |
+
type: enum
|
| 1427 |
+
field: prod_lv2_name_en
|
| 1428 |
+
- standard_word: Titan Heavy
|
| 1429 |
+
synonyms:
|
| 1430 |
+
- TH
|
| 1431 |
+
type: enum
|
| 1432 |
+
field: prod_lv2_name_en
|
| 1433 |
+
- standard_word: Transmission
|
| 1434 |
+
synonyms:
|
| 1435 |
+
- Gearbox
|
| 1436 |
+
- Trans
|
| 1437 |
+
type: enum
|
| 1438 |
+
field: prod_lv2_name_en
|
| 1439 |
+
- standard_word: Voight-Kampff Precision
|
| 1440 |
+
synonyms:
|
| 1441 |
+
- VP
|
| 1442 |
+
type: enum
|
| 1443 |
+
field: prod_lv2_name_en
|
| 1444 |
+
- standard_word: Vortex Velocity Labs
|
| 1445 |
+
synonyms:
|
| 1446 |
+
- Vortex Labs
|
| 1447 |
+
- VVL
|
| 1448 |
+
type: enum
|
| 1449 |
+
field: prod_lv2_name_en
|
| 1450 |
+
- standard_word: Warranty Services
|
| 1451 |
+
synonyms:
|
| 1452 |
+
- WS
|
| 1453 |
+
type: enum
|
| 1454 |
+
field: prod_lv2_name_en
|
| 1455 |
+
- standard_word: Windows
|
| 1456 |
+
synonyms:
|
| 1457 |
+
- Window System
|
| 1458 |
+
type: enum
|
| 1459 |
+
field: prod_lv2_name_en
|
| 1460 |
+
- standard_word: Wiper System
|
| 1461 |
+
synonyms:
|
| 1462 |
+
- WS
|
| 1463 |
+
- Wiper
|
| 1464 |
+
type: enum
|
| 1465 |
+
field: prod_lv2_name_en
|
| 1466 |
+
- standard_word: Wiring
|
| 1467 |
+
synonyms:
|
| 1468 |
+
- Wire Harness
|
| 1469 |
+
- Wiring Harness
|
| 1470 |
+
type: enum
|
| 1471 |
+
field: prod_lv2_name_en
|
| 1472 |
+
- standard_word: Wutai Explorer
|
| 1473 |
+
synonyms:
|
| 1474 |
+
- WE
|
| 1475 |
+
type: enum
|
| 1476 |
+
field: prod_lv2_name_en
|
| 1477 |
+
- standard_word: Yutani Exploration
|
| 1478 |
+
synonyms:
|
| 1479 |
+
- YE
|
| 1480 |
+
type: enum
|
| 1481 |
+
field: prod_lv2_name_en
|
| 1482 |
+
|
| 1483 |
+
# 产品三级 - Product Level 3 (部分常用车型)
|
| 1484 |
+
- standard_word: Atlas EV
|
| 1485 |
+
synonyms:
|
| 1486 |
+
- Atlas
|
| 1487 |
+
- AEV
|
| 1488 |
+
type: enum
|
| 1489 |
+
field: prod_lv3_name_en
|
| 1490 |
+
- standard_word: Beskar Armored Truck
|
| 1491 |
+
synonyms:
|
| 1492 |
+
- Beskar Truck
|
| 1493 |
+
- BAT
|
| 1494 |
+
type: enum
|
| 1495 |
+
field: prod_lv3_name_en
|
| 1496 |
+
- standard_word: Darksaber GT
|
| 1497 |
+
synonyms:
|
| 1498 |
+
- Darksaber
|
| 1499 |
+
- DSGT
|
| 1500 |
+
type: enum
|
| 1501 |
+
field: prod_lv3_name_en
|
| 1502 |
+
- standard_word: Helios Hydrogen
|
| 1503 |
+
synonyms:
|
| 1504 |
+
- Helios H2
|
| 1505 |
+
- HH2
|
| 1506 |
+
type: enum
|
| 1507 |
+
field: prod_lv3_name_en
|
| 1508 |
+
- standard_word: Jedi Starfighter
|
| 1509 |
+
synonyms:
|
| 1510 |
+
- Jedi Fighter
|
| 1511 |
+
- Starfighter
|
| 1512 |
+
type: enum
|
| 1513 |
+
field: prod_lv3_name_en
|
| 1514 |
+
- standard_word: Millennium Falcon Edition
|
| 1515 |
+
synonyms:
|
| 1516 |
+
- Falcon Edition
|
| 1517 |
+
- MFE
|
| 1518 |
+
type: enum
|
| 1519 |
+
field: prod_lv3_name_en
|
| 1520 |
+
- standard_word: Nexus 6
|
| 1521 |
+
synonyms:
|
| 1522 |
+
- N6
|
| 1523 |
+
- Nexus Six
|
| 1524 |
+
type: enum
|
| 1525 |
+
field: prod_lv3_name_en
|
| 1526 |
+
- standard_word: Nexus 7
|
| 1527 |
+
synonyms:
|
| 1528 |
+
- N7
|
| 1529 |
+
- Nexus Seven
|
| 1530 |
+
type: enum
|
| 1531 |
+
field: prod_lv3_name_en
|
| 1532 |
+
- standard_word: Nexus 8
|
| 1533 |
+
synonyms:
|
| 1534 |
+
- N8
|
| 1535 |
+
- Nexus Eight
|
| 1536 |
+
type: enum
|
| 1537 |
+
field: prod_lv3_name_en
|
| 1538 |
+
- standard_word: Nexus 9
|
| 1539 |
+
synonyms:
|
| 1540 |
+
- N9
|
| 1541 |
+
- Nexus Nine
|
| 1542 |
+
type: enum
|
| 1543 |
+
field: prod_lv3_name_en
|
| 1544 |
+
- standard_word: Nova Prime Hypercar
|
| 1545 |
+
synonyms:
|
| 1546 |
+
- Nova Prime
|
| 1547 |
+
- NPH
|
| 1548 |
+
type: enum
|
| 1549 |
+
field: prod_lv3_name_en
|
| 1550 |
+
- standard_word: Red XIII
|
| 1551 |
+
synonyms:
|
| 1552 |
+
- Red 13
|
| 1553 |
+
- Nanaki
|
| 1554 |
+
type: enum
|
| 1555 |
+
field: prod_lv3_name_en
|
| 1556 |
+
- standard_word: Sandcrawler Elite
|
| 1557 |
+
synonyms:
|
| 1558 |
+
- Sandcrawler
|
| 1559 |
+
- SC Elite
|
| 1560 |
+
type: enum
|
| 1561 |
+
field: prod_lv3_name_en
|
| 1562 |
+
- standard_word: Sector 7
|
| 1563 |
+
synonyms:
|
| 1564 |
+
- S7
|
| 1565 |
+
- Sector Seven
|
| 1566 |
+
type: enum
|
| 1567 |
+
field: prod_lv3_name_en
|
| 1568 |
+
- standard_word: T-1000 Liquid Metal
|
| 1569 |
+
synonyms:
|
| 1570 |
+
- T1000
|
| 1571 |
+
- Liquid Metal
|
| 1572 |
+
type: enum
|
| 1573 |
+
field: prod_lv3_name_en
|
| 1574 |
+
- standard_word: T-16 Skyhopper
|
| 1575 |
+
synonyms:
|
| 1576 |
+
- T16
|
| 1577 |
+
- Skyhopper
|
| 1578 |
+
type: enum
|
| 1579 |
+
field: prod_lv3_name_en
|
| 1580 |
+
- standard_word: T-800 Classics
|
| 1581 |
+
synonyms:
|
| 1582 |
+
- T800
|
| 1583 |
+
- Terminator Classic
|
| 1584 |
+
type: enum
|
| 1585 |
+
field: prod_lv3_name_en
|
| 1586 |
+
- standard_word: T-3000 Nano
|
| 1587 |
+
synonyms:
|
| 1588 |
+
- T3000
|
| 1589 |
+
- Nano
|
| 1590 |
+
type: enum
|
| 1591 |
+
field: prod_lv3_name_en
|
| 1592 |
+
- standard_word: T-X Terminator
|
| 1593 |
+
synonyms:
|
| 1594 |
+
- TX
|
| 1595 |
+
- Terminator X
|
| 1596 |
+
type: enum
|
| 1597 |
+
field: prod_lv3_name_en
|
| 1598 |
+
- standard_word: Titan Hybrid X
|
| 1599 |
+
synonyms:
|
| 1600 |
+
- Titan X
|
| 1601 |
+
- THX
|
| 1602 |
+
type: enum
|
| 1603 |
+
field: prod_lv3_name_en
|
| 1604 |
+
- standard_word: Vortex V12
|
| 1605 |
+
synonyms:
|
| 1606 |
+
- V12
|
| 1607 |
+
- Vortex Twelve
|
| 1608 |
+
type: enum
|
| 1609 |
+
field: prod_lv3_name_en
|
| 1610 |
+
- standard_word: X-34 Landspeeder
|
| 1611 |
+
synonyms:
|
| 1612 |
+
- X34
|
| 1613 |
+
- Landspeeder
|
| 1614 |
+
type: enum
|
| 1615 |
+
field: prod_lv3_name_en
|
| 1616 |
+
|
| 1617 |
+
# ================== 报表项目维度 - Report Items ==================
|
| 1618 |
+
|
| 1619 |
+
# 报表项大类 - Report Item Category
|
| 1620 |
+
- standard_word: Expense
|
| 1621 |
+
synonyms:
|
| 1622 |
+
- Cost
|
| 1623 |
+
- Expenditure
|
| 1624 |
+
- Spending
|
| 1625 |
+
type: enum
|
| 1626 |
+
field: report_item_lv0_name_en
|
| 1627 |
+
- standard_word: Revenue
|
| 1628 |
+
synonyms:
|
| 1629 |
+
- Income
|
| 1630 |
+
- Sales
|
| 1631 |
+
- Earnings
|
| 1632 |
+
type: enum
|
| 1633 |
+
field: report_item_lv0_name_en
|
| 1634 |
+
|
| 1635 |
+
# 报表项一级 - Report Item Level 1
|
| 1636 |
+
- standard_word: Cost of Sales
|
| 1637 |
+
synonyms:
|
| 1638 |
+
- COGS
|
| 1639 |
+
- Cost of Goods Sold
|
| 1640 |
+
- Sales Cost
|
| 1641 |
+
type: enum
|
| 1642 |
+
field: report_item_lv1_name_en
|
| 1643 |
+
- standard_word: Income Tax Expense
|
| 1644 |
+
synonyms:
|
| 1645 |
+
- Tax Expense
|
| 1646 |
+
- Income Tax
|
| 1647 |
+
- Tax
|
| 1648 |
+
type: enum
|
| 1649 |
+
field: report_item_lv1_name_en
|
| 1650 |
+
- standard_word: Net Sales Revenue
|
| 1651 |
+
synonyms:
|
| 1652 |
+
- Net Sales
|
| 1653 |
+
- Sales Revenue
|
| 1654 |
+
- Net Revenue
|
| 1655 |
+
type: enum
|
| 1656 |
+
field: report_item_lv1_name_en
|
| 1657 |
+
- standard_word: Other Expenses
|
| 1658 |
+
synonyms:
|
| 1659 |
+
- Non-Operating Expenses
|
| 1660 |
+
- Other Costs
|
| 1661 |
+
type: enum
|
| 1662 |
+
field: report_item_lv1_name_en
|
| 1663 |
+
- standard_word: Other Income
|
| 1664 |
+
synonyms:
|
| 1665 |
+
- Non-Operating Income
|
| 1666 |
+
- Other Revenue
|
| 1667 |
+
type: enum
|
| 1668 |
+
field: report_item_lv1_name_en
|
| 1669 |
+
- standard_word: Period Expenses
|
| 1670 |
+
synonyms:
|
| 1671 |
+
- Operating Expenses
|
| 1672 |
+
- OpEx
|
| 1673 |
+
- Period Costs
|
| 1674 |
+
type: enum
|
| 1675 |
+
field: report_item_lv1_name_en
|
| 1676 |
+
|
| 1677 |
+
# 报表项二级 - Report Item Level 2
|
| 1678 |
+
- standard_word: Administrative Expenses
|
| 1679 |
+
synonyms:
|
| 1680 |
+
- Admin Expenses
|
| 1681 |
+
- G&A
|
| 1682 |
+
- General Admin
|
| 1683 |
+
type: enum
|
| 1684 |
+
field: report_item_lv2_name_en
|
| 1685 |
+
- standard_word: Equipment Cost
|
| 1686 |
+
synonyms:
|
| 1687 |
+
- Hardware Cost
|
| 1688 |
+
- Product Cost
|
| 1689 |
+
type: enum
|
| 1690 |
+
field: report_item_lv2_name_en
|
| 1691 |
+
- standard_word: Equipment Revenue
|
| 1692 |
+
synonyms:
|
| 1693 |
+
- Hardware Revenue
|
| 1694 |
+
- Product Revenue
|
| 1695 |
+
type: enum
|
| 1696 |
+
field: report_item_lv2_name_en
|
| 1697 |
+
- standard_word: Income Tax
|
| 1698 |
+
synonyms:
|
| 1699 |
+
- Corporate Tax
|
| 1700 |
+
- Tax Provision
|
| 1701 |
+
type: enum
|
| 1702 |
+
field: report_item_lv2_name_en
|
| 1703 |
+
- standard_word: Non-Operating Expenses
|
| 1704 |
+
synonyms:
|
| 1705 |
+
- Other Operating Expenses
|
| 1706 |
+
- Misc Expenses
|
| 1707 |
+
type: enum
|
| 1708 |
+
field: report_item_lv2_name_en
|
| 1709 |
+
- standard_word: Non-Operating Income
|
| 1710 |
+
synonyms:
|
| 1711 |
+
- Other Operating Income
|
| 1712 |
+
- Misc Income
|
| 1713 |
+
type: enum
|
| 1714 |
+
field: report_item_lv2_name_en
|
| 1715 |
+
- standard_word: Sales Period Cost
|
| 1716 |
+
synonyms:
|
| 1717 |
+
- SPC
|
| 1718 |
+
type: enum
|
| 1719 |
+
field: report_item_lv2_name_en
|
| 1720 |
+
- standard_word: Selling Expenses
|
| 1721 |
+
synonyms:
|
| 1722 |
+
- Sales Expenses
|
| 1723 |
+
- S&M Expenses
|
| 1724 |
+
- Distribution Costs
|
| 1725 |
+
type: enum
|
| 1726 |
+
field: report_item_lv2_name_en
|
| 1727 |
+
- standard_word: Service Cost
|
| 1728 |
+
synonyms:
|
| 1729 |
+
- Service Expense
|
| 1730 |
+
- COS Service
|
| 1731 |
+
type: enum
|
| 1732 |
+
field: report_item_lv2_name_en
|
| 1733 |
+
- standard_word: Service Revenue
|
| 1734 |
+
synonyms:
|
| 1735 |
+
- Service Income
|
| 1736 |
+
- Service Sales
|
| 1737 |
+
type: enum
|
| 1738 |
+
field: report_item_lv2_name_en
|
| 1739 |
+
|
| 1740 |
+
# 报表项三级 - Report Item Level 3
|
| 1741 |
+
- standard_word: Administrative Department Expenses
|
| 1742 |
+
synonyms:
|
| 1743 |
+
- Admin Dept Costs
|
| 1744 |
+
- Office Expenses
|
| 1745 |
+
type: enum
|
| 1746 |
+
field: report_item_lv3_name_en
|
| 1747 |
+
- standard_word: Agent Service Fees
|
| 1748 |
+
synonyms:
|
| 1749 |
+
- Agency Fees
|
| 1750 |
+
- Commission Fees
|
| 1751 |
+
type: enum
|
| 1752 |
+
field: report_item_lv3_name_en
|
| 1753 |
+
- standard_word: Asset Disposal Income
|
| 1754 |
+
synonyms:
|
| 1755 |
+
- Asset Sale Income
|
| 1756 |
+
- Disposal Gains
|
| 1757 |
+
type: enum
|
| 1758 |
+
field: report_item_lv3_name_en
|
| 1759 |
+
- standard_word: Charitable Donations
|
| 1760 |
+
synonyms:
|
| 1761 |
+
- Donations
|
| 1762 |
+
- Charity
|
| 1763 |
+
type: enum
|
| 1764 |
+
field: report_item_lv3_name_en
|
| 1765 |
+
- standard_word: Current Income Tax
|
| 1766 |
+
synonyms:
|
| 1767 |
+
- Current Tax
|
| 1768 |
+
- Tax Payable
|
| 1769 |
+
type: enum
|
| 1770 |
+
field: report_item_lv3_name_en
|
| 1771 |
+
- standard_word: Deferred Income Tax
|
| 1772 |
+
synonyms:
|
| 1773 |
+
- Deferred Tax
|
| 1774 |
+
- DIT
|
| 1775 |
+
type: enum
|
| 1776 |
+
field: report_item_lv3_name_en
|
| 1777 |
+
- standard_word: Depreciation and Amortization
|
| 1778 |
+
synonyms:
|
| 1779 |
+
- D&A
|
| 1780 |
+
- Depreciation
|
| 1781 |
+
- Amortization
|
| 1782 |
+
type: enum
|
| 1783 |
+
field: report_item_lv3_name_en
|
| 1784 |
+
- standard_word: Disaster Loss
|
| 1785 |
+
synonyms:
|
| 1786 |
+
- Natural Disaster Loss
|
| 1787 |
+
- Catastrophe Loss
|
| 1788 |
+
type: enum
|
| 1789 |
+
field: report_item_lv3_name_en
|
| 1790 |
+
- standard_word: Equipment Cost
|
| 1791 |
+
synonyms:
|
| 1792 |
+
- Hardware Cost
|
| 1793 |
+
type: enum
|
| 1794 |
+
field: report_item_lv3_name_en
|
| 1795 |
+
- standard_word: Equipment Revenue
|
| 1796 |
+
synonyms:
|
| 1797 |
+
- Hardware Revenue
|
| 1798 |
+
type: enum
|
| 1799 |
+
field: report_item_lv3_name_en
|
| 1800 |
+
- standard_word: Government Subsidies
|
| 1801 |
+
synonyms:
|
| 1802 |
+
- Gov Subsidies
|
| 1803 |
+
- Government Grants
|
| 1804 |
+
- Subsidies
|
| 1805 |
+
type: enum
|
| 1806 |
+
field: report_item_lv3_name_en
|
| 1807 |
+
- standard_word: Inventory Impairment Loss
|
| 1808 |
+
synonyms:
|
| 1809 |
+
- Inventory Loss
|
| 1810 |
+
- Writedown
|
| 1811 |
+
type: enum
|
| 1812 |
+
field: report_item_lv3_name_en
|
| 1813 |
+
- standard_word: Investment Income
|
| 1814 |
+
synonyms:
|
| 1815 |
+
- Investment Returns
|
| 1816 |
+
- Investment Gains
|
| 1817 |
+
type: enum
|
| 1818 |
+
field: report_item_lv3_name_en
|
| 1819 |
+
- standard_word: Marketing Expenses
|
| 1820 |
+
synonyms:
|
| 1821 |
+
- Marketing Costs
|
| 1822 |
+
- Advertising Expenses
|
| 1823 |
+
- Promo Expenses
|
| 1824 |
+
type: enum
|
| 1825 |
+
field: report_item_lv3_name_en
|
| 1826 |
+
- standard_word: Penalties and Fines
|
| 1827 |
+
synonyms:
|
| 1828 |
+
- Fines
|
| 1829 |
+
- Penalties
|
| 1830 |
+
type: enum
|
| 1831 |
+
field: report_item_lv3_name_en
|
| 1832 |
+
- standard_word: Research and Development Expenses
|
| 1833 |
+
synonyms:
|
| 1834 |
+
- R&D
|
| 1835 |
+
- R&D Expenses
|
| 1836 |
+
- Development Costs
|
| 1837 |
+
type: enum
|
| 1838 |
+
field: report_item_lv3_name_en
|
| 1839 |
+
- standard_word: Sales Department Expenses
|
| 1840 |
+
synonyms:
|
| 1841 |
+
- Sales Dept Costs
|
| 1842 |
+
- Sales Team Expenses
|
| 1843 |
+
type: enum
|
| 1844 |
+
field: report_item_lv3_name_en
|
| 1845 |
+
- standard_word: Service Cost
|
| 1846 |
+
synonyms:
|
| 1847 |
+
- Service Expense
|
| 1848 |
+
type: enum
|
| 1849 |
+
field: report_item_lv3_name_en
|
| 1850 |
+
- standard_word: Service Sales Revenue
|
| 1851 |
+
synonyms:
|
| 1852 |
+
- Service Sales
|
| 1853 |
+
- Service Billings
|
| 1854 |
+
type: enum
|
| 1855 |
+
field: report_item_lv3_name_en
|
| 1856 |
+
- standard_word: Service Settlement Revenue
|
| 1857 |
+
synonyms:
|
| 1858 |
+
- Settlement Revenue
|
| 1859 |
+
- Service Settlements
|
| 1860 |
+
type: enum
|
| 1861 |
+
field: report_item_lv3_name_en
|
| 1862 |
+
- standard_word: Supply Logistics Cost
|
| 1863 |
+
synonyms:
|
| 1864 |
+
- Logistics Cost
|
| 1865 |
+
- Supply Chain Cost
|
| 1866 |
+
type: enum
|
| 1867 |
+
field: report_item_lv3_name_en
|
| 1868 |
+
- standard_word: Tariffs
|
| 1869 |
+
synonyms:
|
| 1870 |
+
- Customs Duties
|
| 1871 |
+
- Import Duties
|
| 1872 |
+
type: enum
|
| 1873 |
+
field: report_item_lv3_name_en
|
queries/RubikBench.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
queries/query_tags.yaml
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
tags:
|
| 2 |
+
# Difficulty tags
|
| 3 |
+
- level-simple # Usually <= 3 filter conditions, no complex CTE or complex JOIN, typically single-hop, factual or very short queries without reasoning, simple developer or user-prefrence queries
|
| 4 |
+
- level-moderate # Most queries that are not simple are moderate, can have multiple filter conditions, may involve some reasoning or 2-hop, can include aggregations, trivial comparisons or formulas
|
| 5 |
+
- level-challenging # Complex formulas or more than 2-hop, may involve nested queries, multiple aggregations, complex JOINs, complex custom knowledge, comparison with non-trivial metrics, or reasoning over multiple entities (< 20%)
|
| 6 |
+
- level-nightmare # Deep analytical queries, heavy reasoning or hypothetical scenarios, decision making or statistical analysis, complex formulas or multiple layers of nested queries, very rare (< 5%)
|
| 7 |
+
|
| 8 |
+
# Query language tags (multiple tags can apply)
|
| 9 |
+
- lang-english # Queries that uses English as the query language
|
| 10 |
+
- lang-chinese # Queries that uses Chinese as the query language
|
| 11 |
+
|
| 12 |
+
# Query type tags (multiple tags can apply)
|
| 13 |
+
- type-basic # Basic queries that does not fall into other types
|
| 14 |
+
- type-fact # Factual (e.g., region, project name, exchange, ...) lookup queries
|
| 15 |
+
- type-grouped # GROUP BY in queries, and multiple groups with hierarchies are expected in the result instead of aggregated single value
|
| 16 |
+
- type-top-bot # TOP / BOTTOM N queries (LIMIT / OFFSET with ORDER BY)
|
| 17 |
+
- type-rank # Asking the rank of something: RANK / DENSE_RANK / ...
|
| 18 |
+
- type-comparison # Comparing two or multiple entities
|
| 19 |
+
- type-multi-hop # 2-hop or more hop reasoning
|
| 20 |
+
- type-time-trend # Asking to plot trend or get data about a consecutive period time
|
| 21 |
+
- type-breakdown # Specifically, "breakdown analysis" queries
|
| 22 |
+
- type-analytical # Complex analytical queries involving calculations or statistical analysis
|
| 23 |
+
- type-display # Visualizations, charts, pie or trends, etc.
|
| 24 |
+
|
| 25 |
+
# Query characteristic tags (multiple tags can apply)
|
| 26 |
+
- trait-synonym # Non-trivial Synonyms are used in the query (e.g., EU vs European Union, NovDyn vs Nova Dynamics, ...)
|
| 27 |
+
- trait-indicator # Queries that explicitly require non-trivial formulas to compute the result, e.g., BCR, CAGR, HHI, forecast accuracy ... (e.g., YoY, QoQ, margin, are considered trivial)
|
| 28 |
+
- trait-schema-grounded # `"schema"` is provided in the query context
|
| 29 |
+
- trait-time-aware # queries that must require "last year", "this month" or similar time context understanding
|
| 30 |
+
- trait-time-cutoff # queries that are actually affected by the query time (e.g., querying yearly data at August)
|
| 31 |
+
- trait-knowledge # knowledge-intensive queries that MUST require external or domain knowledge to answer (e.g., "Star Products" definition)
|
| 32 |
+
|
| 33 |
+
# Query value tags (multiple tags can apply)
|
| 34 |
+
- value-amount # The result involves true revenue / expenses (most queries)
|
| 35 |
+
- value-forecast # The result uses forecast column in BUDGET_AND_FORECAST_* tables
|
| 36 |
+
- value-budget # The result uses budget column in BUDGET_AND_FORECAST_* tables
|
| 37 |
+
- value-target # The result uses target column in BUDGET_AND_FORECAST_* tables
|
| 38 |
+
|
| 39 |
+
# Query period tags
|
| 40 |
+
- period-monthly # Single or a few months are enumerated (only about user intent, not how SQL implements it)
|
| 41 |
+
- period-quarterly # Only quarterly periods are used (03, 06, 09, 12)
|
| 42 |
+
- period-half-yearly # Only half-yearly periods are used (06, 12)
|
| 43 |
+
- period-yearly # Only yearly periods are used
|
| 44 |
+
- period-multi # Multiple period types are used (e.g., monthly and yearly)
|