boun-tabilab/Turkish-Product-Reviews

Dataset Card for Turkish Product Reviews

Dataset Description

Turkish-Product-Reviews dataset is obtained by creating the creating train, validation and test splits from the original Turkish Product Reviews dataset, released by Fatih Barmanbay.

Dataset Structure

The original dataset only had train split. We applied the following splitting methodology to obtain validation and test splits:

• If a train-val-test split is available, we use the existing divisions as provided.
• For datasets with a train-test split only, we create a val split from the training set, sized to match the test set, and apply this across all models.
• In cases with a train-val split, we reassign the val set as the test split, then generate a new val split from the training data following the approach above.
• In cases with a val-test split, we split validation into train and vad sets in 80% and 20% proportions, respectively.
• When only a single combined split is present, we partition the data into train, val, and test sets in 70%, 15%, and 15% proportions, respectively.

Data Fields

• text(string) : Contains turkish product reviews
• level(int) : 0 (negative) or 1 (positive)

Source Dataset

hf.co/datasets/fthbrmnby/turkish_product_reviews