Turkish Image Visual Question Answering Pairs

Image Vqa Turkish is a dataset of Turkish visual question-answer pairs for multimodal AI tasks. It was created by the author 'ituperceptron' and was last updated on Hugging Face on January 14, 2026. The dataset structure includes images, unique image IDs, and VQA pairs in JSON format.

Use Cases

• Train Turkish visual question answering models based on the described image-QA pairs.
• Benchmark multimodal AI systems on Turkish language understanding based on the described VQA format.
• Fine-tune pre-trained vision-language models for Turkish-specific applications based on the described data structure.

Strengths

• Dataset is specifically designed for Turkish language visual question answering, a less common language focus.
• Data structure is defined with fields for images, image IDs, and JSON-formatted QA pairs.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• License information is unknown, which may restrict commercial use.

Provenance

Source

huggingface user 'ituperceptron'

Freshness

Last updated 2026-01-14 11:19:11; freshness should be verified.