Datasets:
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---
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
- text-classification
task_ids:
- language-modeling
---
# Dataset Card for Wildberries products
### Dataset Summary
The dataset contains product reviews from the Russian marketplace [Wildberries](https://www.wildberries.ru), collected by mining about The dataset was collected by bruteforcing possible product identifiers (about 230 million) and querying all available feedbacks for them. The data are stored in zstd-archives containing jsonl-files. The 'nmId' in the dataset usually corresponds to the valid product article on the site, but sometimes reviews are still available to retrieve via the API even if the product is hidden. The dataset solely includes information from the reviews. To access additional data, refer to my other dataset, [wb-products](https://huggingface.co/datasets/nyuuzyou/wb-products), collected from Wildberries. Merge the necessary data using the nmId identifier mentioned earlier. It is important to note that some fields in the dataset, particularly string fields, may be empty.
### Languages
The dataset is mostly in Russian, but there may be other languages present.
## Dataset Structure
### Data Fields
This dataset includes the following fields:
- `nmId`: Identifier for the item (integer)
- `productValuation`: Product valuation (integer)
- `color`: Color of the product (string)
- `text`: Text description of the product (string)
- `answer`: Answer (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
- [nyuuzyou](https://ducks.party)
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