Glossary

styles.csv product schema

styles.csv product schema is shared catalog schema of the Myntra-derived fashion product datasets: one row per SKU in styles.csv, joined to one image file and one per-product JSON record carrying manually cataloged label attributes. In Datadory's catalog of 1,744 datasets, Fashion Product Images Dataset and Fashion Product Images Small are working examples.

What is styles.csv product schema?

The shared catalog schema of the Myntra-derived fashion product datasets: one row per SKU in styles.csv, joined to one image file and one per-product JSON record carrying manually cataloged label attributes.

Hugging Face mirrors preserve the same feature schema after Parquet conversion.

In this catalog it appears concretely: - Fashion Product Images Dataset — "exposed through a styles.csv master map". - Fashion Product Images Small — "same styles.csv schema". - Fashion Products Small — "ceyda) (42,700 rows".

Why does styles.csv product schema matter when choosing a dataset?

A table is only as good as the column you actually need; if schema fields are absent or defined inconsistently across rows, no surrounding richness rescues the analysis.

The failure mode is concrete: the listing promises one thing, the delivered files tell another, and the gap surfaces mid-project when fixing it is most expensive.

82.4% of the 1,744 cataloged datasets are free to access, and Fashion Product Images Dataset lets you inspect the real artifact before any budget is committed.

How do you evaluate styles.csv product schema in a data source?

Treat every claim of this attribute as testable:

  1. Open Fashion Product Images Dataset and confirm its record — "exposed through a styles.csv master map" — against the files you actually receive.
  2. Open Fashion Product Images Small and confirm its record — "same styles.csv schema" — against the files you actually receive.
  3. Open Fashion Products Small and confirm its record — "ceyda) (42,700 rows" — against the files you actually receive.
  4. Pin down update cadence in writing. Across this catalog, 22.6% of 1,744 datasets refresh daily and 64 still arrive only through a manual request form, so ask exactly how fresh each release is.
  5. Check whether definitions are verified at all. Field definitions are verified for 1495 of 1,744 datasets (85.7%), and any source you license should meet that bar.
  6. Price the delivery route before the license. In this catalog bulk download is the most common access method (725 datasets) ahead of official APIs (574), and 379 sources still require scraping — a maintenance cost that lands on you, not the vendor.

See the term applied to real records: apparel-accessories-luxury-goods data.

Adjacent concepts worth reading next: - mirror dataset - Parquet conversion - product image dataset

Frequently asked questions

What is an example of styles.csv product schema?

Fashion Product Images Dataset is the clearest example in this catalog. Its record states: "exposed through a styles.csv master map". Across all 1,744 datasets Datadory averages a quality score of 7.81 out of 10, so a named example can be weighed rather than trusted blindly.

Is data described as "styles.csv product schema" free to use?

Treat access and permission separately. 82.4% of the 1,744 datasets in this catalog are free to access, but 235 are freemium and 61 are paid outright, so confirm both the price and the license on the exact distribution before building on it.

How do I verify a source really provides styles.csv product schema?

Open Fashion Product Images Dataset next to Fashion Product Images Small and compare the promise with the download. Field definitions are verified for 1495 of 1,744 datasets (85.7%), which makes that check fast inside the catalog and manual outside it.

Datasets containing this field

Datasets containing styles.csv product schema

6 datasets carry styles.csv product schema in the catalog. Open one, count the fields, judge for yourself.

Apparel, Accessories & Luxury Goods Global web-sourced shop and consumer… · Image level, one record per…

DeepFashion Dataset (CUHK MMLab)

Apparel, Accessories & Luxury Goods

World Bank DataBank & API — World Development Indicators

indicator.id · indicator.value · country.id …+7 more

Apparel, Accessories & Luxury Goods

Apparel Images Dataset — Kaggle (trolukovich)

black_pants · red_dress · white_shorts

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