Datasetpublic

tolgadev/product-reviews-turkish

📝 Turkish Product Reviews Sentiment Dataset Dataset Summary This dataset consists of Turkish-language product review comments and their associated sentiment labels. The data is sourced from Trendyol.com, and all rights to the original content belong to them. It is provided strictly for educational and research purposes. Each entry includes a user-generated comment paired with a sentiment label, currently limited to the positive class. The dataset is designed for… See the full description on the dataset page: https://huggingface.co/datasets/tolgadev/product-reviews-turkish.

sourceHugging Faceupdated 1y agoView on Hugging Face

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Dataset Card

📝 Turkish Product Reviews Sentiment Dataset

Dataset Summary

This dataset consists of Turkish-language product review comments and their associated sentiment labels. The data is sourced from Trendyol.com, and all rights to the original content belong to them. It is provided strictly for educational and research purposes. Each entry includes a user-generated comment paired with a sentiment label, currently limited to the positive class. The dataset is designed for tasks such as sentiment analysis, text classification, and Turkish natural language processing (NLP).

Dataset Structure

—Rows: 58,818
—Columns:
—comment: The user review text (in Turkish)
—rate: The sentiment label (currently only positive)

Example

json

{
  "comment": "çok beğendim paketleme çok iyiydii",
  "rate": "positive"
}

Usage

This dataset is suitable for:

—Fine-tuning sentiment analysis models

—Turkish language modeling and preprocessing

—Benchmarking text classification models in low-resource settings