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Build a product attribute dataset for classification

A data scientist needs public catalogue attributes to evaluate a category classifier independently. Complete email verification when asked. Review the sample and agree the scope; preparation may take time.

Free sample · Full export quoted for your scope · No subscription

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Read or manually copy the request
Read the GetMyData instructions at https://getmydata.io/skills/getmydata/SKILL.md?utm_source=seo&utm_medium=usecase&utm_campaign=product-attribute-dataset. Help me with this task: Build a product attribute dataset for classification. Sources: [public URLs]. Region/language: [scope]. Date window: [dates]. Maximum rows: [number]. Requested fields: product_name, category, material, dimensions, unit, description. Preserve units and missing values. Product descriptions are not verified ground-truth labels. First discuss feasibility with me; ask before submitting a request. Show a sample and missing fields before I confirm the scope and quote. I will review and pay myself.

channel_id: seo-product-attribute-dataset
  1. Describe your needs in your AI assistant

    Copy the request into a compatible AI assistant. Specify public sources, fields and the number of rows.

  2. Review your free sample

    Complete email verification when asked. Review the sample and agree the scope; preparation may take time.

  3. Confirm, pay and receive the full data

    Review the final quote and payment page yourself. The agreed full dataset is prepared after payment.

See the spreadsheet columns

Build a product attribute dataset for classification · 7
product_namecategorymaterialdimensionsunitdescription
Stacking tray, smallDesk storagePowder-coated steel24 × 17 × 4cmOpen front with rubber feet; fits A5 notebooks.
Stacking tray, largeDesk storagePowder-coated steel33 × 25 × 5cmA4 paper tray; stackable with matching risers.
Pen cupDesk storageCork composite9 × 9 × 11cmFour compartments; removable central divider.
Cable boxCable managementABS plastic32 × 13 × 12cmVentilated base; power strip not included.
Desk matDesk accessoriesWool felt80 × 40 × 0.3cmRounded corners; spot clean only.
Monitor riserDesk furnitureBamboo50 × 22 × 9cmOpen shelf underneath; maximum load listed separately.
Document standDesk accessories—28 × 20 × 18cmAdjustable viewing angle; material not stated.

Simulated delivery example, not collected source data. Example records retain English source text and export field keys; dates, currencies and missing values are preserved.

The decision

A data scientist needs public catalogue attributes to evaluate a category classifier independently.

Check the sample

Preserve units and missing values. Product descriptions are not verified ground-truth labels.

Fields are proposed output keys. Availability and the final schema must be confirmed in the sample; missing values should remain empty, never invented.

Choose specific public URLs, a region or language, a date window and a maximum row count. Review source links and representative records before accepting the scope and fixed quote.

Frequently asked questions

What decision can this data support?

A data scientist needs public catalogue attributes to evaluate a category classifier independently.

What should I check before accepting the sample?

Preserve units and missing values. Product descriptions are not verified ground-truth labels.

How much does it cost?

Free sample · Full export quoted for your scope · No subscription

Does this include ongoing monitoring or analysis?

GetMyData collects the agreed data. Interpretation, matching and business decisions are subsequent work for you or your agent. This is a one-time snapshot, not continuous monitoring.

Related scenarios

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