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Datasets:
nyuuzyou
/
wb-products

Tasks:
Text Generation
Modalities:
Tabular
Text
Formats:
json
Sub-tasks:
language-modeling
Languages:
Russian
Size:
100M - 1B
Libraries:
Datasets
Dask
License:
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metadata
annotations_creators:
  - crowdsourced
language:
  - ru
language_creators:
  - crowdsourced
license:
  - cc0-1.0
multilinguality:
  - monolingual
pretty_name: Wildberries products
size_categories:
  - 100M<n<1B
source_datasets:
  - original
task_categories:
  - text-generation
task_ids:
  - language-modeling

Dataset Card for Wildberries products

Dataset Summary

This dataset was scraped from product pages on the Russian marketplace Wildberries. It includes all information from the product card and metadata from the API, excluding image URLs. The dataset was collected by processing approximately 160 million products out of a potential 230 million, starting from the first product. Data collection had to be stopped due to serious rate limits that prevented further progress. The data is in zstd archives containing jsonl files. Each archive contains data from a specific Wildberries data server identified by a basket server number.

Languages

The dataset is mostly in Russian, but there may be other languages present.

Dataset Structure

Data Fields

This dataset includes the following fields:

  • imt_id: Identifier for the item (integer)
  • nm_id: Numeric identifier associated with the item (integer)
  • imt_name: Name of the product (string)
  • subj_name: Subject name (string)
  • subj_root_name: Root subject name (string)
  • nm_colors_names: Colors names (string, may be empty)
  • vendor_code: Vendor code (string)
  • description: Description of the product (string, may be empty)
  • brand_name: Name of the brand (string)

Data Splits

All examples are in the train split, there is no validation split.

Additional Information

License

This dataset is dedicated to the public domain under the Creative Commons Zero (CC0) license. This means you can:

  • Use it for any purpose, including commercial projects.
  • Modify it however you like.
  • Distribute it without asking permission.

No attribution is required, but it's always appreciated!

CC0 license: https://creativecommons.org/publicdomain/zero/1.0/deed.en

To learn more about CC0, visit the Creative Commons website: https://creativecommons.org/publicdomain/zero/1.0/

Dataset Curators