Gemini 3 Pro Visual Question Answering Benchmark

Gemini 3 Pro benchmark dataset for multimodal evaluation. The dataset was created by AliMertTemizsoy and published on Hugging Face in January 2026. It contains image-text pairs for visual question answering tasks.

Use Cases

• Benchmarking Gemini 3 Pro's accuracy on image-text question answering tasks.
• Evaluating multimodal model performance using specific visual question answering prompts.
• Comparing model outputs against reference answers for image-based queries.

Strengths

• Dataset is optimized for efficient access using Parquet format.
• Includes data from the 'us' region.
• Supports libraries like polars, pandas, and datasets for flexible loading.

Limitations

• Unknown total number of rows and sample size.
• Unknown specific column names and data structure.
• Potential bias from unknown geographic or content sourcing.

Provenance

Source

Hugging Face platform.

Freshness

Last updated January 2026.

Geography

United States (Region 'us').