Product Taxonomy
The 6,544-node product/segment classification tree (dict_product_rs) that SAM segment facts and the supply-chain graph are expressed in.
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Data due diligence
- Point-in-time: yes
- Carries the disclosure date; restatements preserved.
- Personal data: none
- No personal information.
- Web collection: no
- No web collection; sourced from filings or a licensed feed.
- Generative AI: yes
- Generative AI was used in producing part of this dataset; see the product's Data sourcing answers.
The personal-data values are descriptive, not risk grades: no personal information in any dataset is collected from individuals; all of it is drawn from mandatory public company disclosure or already-published news.
Declarations published by ChinaScope. Open the Due diligence tab and sign in to read the full questionnaire.
Product Taxonomy
taxonomySource DataThe 6,544-node product/segment classification tree (dict_product_rs) that SAM segment facts and the supply-chain graph are expressed in.
Daily source stitch · data frontier 2026-10-28
9. Field reference: every column
dict_product_rs
Table · pick one of 1
dict_product_rs
dict_product_rs: 12 columns · grain (primary key): code
| Column | Name | Type | Null | Description |
|---|---|---|---|---|
code ·PK | Product code | string | no | A node in ChinaScope's 6,544-code product taxonomy: the standard that SAM segment revenue/cost/profit and the supply-chain graph are expressed in. This is the vocabulary that makes product-level data comparable across companies. |
id | Product node ID | string | no | ChinaScope's internal identifier for the taxonomy node. |
name | Product name (CN) | string | yes | The product/segment name in Chinese. |
name_en | Product name (EN) | string | yes | The product/segment name in English (full coverage). |
parent | Parent node | string | yes | The parent product node: the edge that gives the taxonomy its tree shape. Null at the top level. |
ancestors | Ancestor path | string | yes | The full path from the taxonomy root to this product, so any product can be aggregated to any level of the tree in one step. |
valid | Valid flag | string | yes | Marks whether the node is currently in use (all nodes are currently valid). |
industry_code | Linked industry code | string | yes | The industry code this product maps to: the bridge that ties the product tree to the industry classification (dict_industry). Populated on 6,542 of the 6,544 nodes (all but two). |
rem_szh | Remark (CN) | string | yes | A short definitional note describing what the product category includes, in Chinese: resolves where a borderline product belongs. |
rem_en | Remark (EN) | string | yes | The definitional note in English. |
product_level | Product level | string | yes | The depth of this product in the taxonomy (1 = broadest category, up to 9 = most specific). Filter to one level for a consistent granularity. |
source_publish_date | Public-record date | date | no | The date this record's current state became public. |
Sample row:
code: PP001
id: 1838
name: 个人用品
name_en: Personal Products
parent: (null — top level)
ancestors: (null — top level)
valid: 1
industry_code: CSF_30302010
rem_szh: 包括个人护理用品以及美容护理用品。
rem_en: Includes personal care products and beauty-care products.
product_level: 1
source_publish_date: 2023-11-02
Sourced as-delivered from ChinaScope, with resolved codes and structural links computed by Numinor. Licensing passes through to you; fields are served exactly as the vendor issues them.
Access & FAQ
- How do I buy just a few fields?
- Check the fields you want and you'll see your running subtotal. Select every field and the whole-set price applies automatically. Add them to your basket and check out — this dataset, or fields combined across several.
- Can I evaluate these fields in the Matrix before I buy?
- Yes — load the actual source tables in the Matrix and analyze them with an AI agent before you buy. See the Overview tab for this dataset’s Matrix evaluation lag; “None” means no intentional delay.
- How is it delivered?
- Apache Parquet over a signed-URL REST API, the same pipe as Construct Data. The free Matrix sandbox serves an evaluation snapshot. Its delay, if any, is shown in the Overview tab.
- When is each update available, and how reliable is it?
- Source data refreshes on the ChinaScope cadence and is delivered through the same signed-URL pipeline as Construct Data, with the same manifest/status behaviour. Evaluate freshness yourself in the Matrix before you commit.
- Why are some fields free and others cost thousands?
- Price tracks non-replicability. Resolved codes and structural links are the moat; machine scores and raw text are cheap; identifier keys are free. Figures are priced per table; codes are charged once per dataset.
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Questions This Dataset Comes Up In
Public reference pages answering a question that spans several datasets, this one among them. No account needed.
- Why a join to China A-share company data silently drops rowsEntity resolution in Chinese company data is partial, and the resolved share differs by dataset and by relationship type. An inner join discards exactly the rows that were not resolved, and those rows are not a random sample.
- Missing, zero, or blank: three different states in China filing dataA real zero, a blank cell the filer left empty, and a line with no row at all are three distinct states in filing data. Collapsing them to one fills a panel with zeros that were never reported.
- Disclosed versus inferred: two kinds of China supply-chain and ownership dataDisclosed data is what filers published about themselves and arrives already consolidated. Inferred data is constructed and is built to be aggregated. The two obey opposite rules, and treating one like the other double-counts or under-counts.
- When to roll up subsidiaries in China company data, and when it double-countsWhether to roll up depends on whether the dataset is already consolidated. Some ChinaScope tables are pre-aggregated up the tree, some are deliberately not, and one column inside SAM is a subtree total that looks additive and is not.
- Which industry tree should you use for China equities?ChinaScope Reference carries five independent industry schemes in one table. They are separate trees, not levels of one hierarchy, and mixing them in a single grouping is meaningless.