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Dataset Card for Turkish E-Commerce Product Captions
Dataset Details
Dataset Description
This dataset consists of Turkish captions for product images collected from publicly accessible pages on Trendyol. The captions were generated using a captioning model and curated manually by the dataset author for academic and research purposes. The dataset includes approximately 200K samples and is intended for image captioning tasks in Turkish.
- Curated by: Mustafa Batuhan Değirmenci
- Funded by: N/A
- Shared by: Mustafa Batuhan Değirmenci
- Language(s): Turkish
- License: CC BY-NC 4.0
Dataset Sources
- Images Source: Publicly available product images from Trendyol
- Captions: Generated and edited by the author for research
Uses
Direct Use
- Academic research in multimodal learning (image-to-text)
- Training and evaluation of Turkish image captioning models
- Benchmarking captioning models on e-commerce content
Out-of-Scope Use
- Commercial applications are prohibited due to copyright restrictions.
- Redistribution of original images is not allowed without permission from Trendyol or sellers.
Access
This dataset is gated. You need to request access to download it. Access will be granted for non-commercial academic use only. Please briefly explain your research purpose when submitting your access request.
Dataset Structure
Each example contains:
image
: a product image in RGB formattext
: a Turkish caption describing the image content
No additional metadata such as product category or price is included.
Dataset Creation
Curation Rationale
The dataset was created to address the lack of publicly available Turkish image-captioning datasets, especially in the e-commerce domain.
Source Data
Data Collection and Processing
- Images were collected from public Trendyol product listings using a scraper.
- Captions were generated using an image captioning model and curated by the author.
- All captions were written in Turkish.
Who are the source data producers?
- Images were created by Trendyol vendors.
- Captions were generated by the dataset author using a trained model.
Annotations
Annotation process
- Model-generated captions were reviewed and filtered for quality.
- No external annotators were involved.
Who are the annotators?
- The author (Mustafa Batuhan Değirmenci)
Personal and Sensitive Information
No personal or sensitive information is included in the dataset.
Bias, Risks, and Limitations
- Captions are generated by a model and may contain inaccuracies.
- Dataset reflects products and styles from a specific e-commerce platform (Trendyol), introducing domain-specific bias.
Recommendations
- Avoid deploying models trained on this dataset in sensitive or commercial settings without additional validation.
Citation
If you use this dataset, please cite:
@misc{turkish-ecommerce-captions,
author = {Mustafa Batuhan Değirmenci},
title = {Turkish E-Commerce Product Captions},
year = {2025},
note = {Dataset available on Hugging Face Hub}
}
Contact
For questions or feedback: [batuhan.degirmenci@outlook.com]
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