OK-VQA: Visual Question Answering Test Set

A test set for the OK-VQA (Outside Knowledge Visual Question Answering) benchmark, created by Multimodal-Fatima and uploaded to Hugging Face on 2023-05-29. The dataset is designed for evaluating models that answer questions about images using external world knowledge. Specific details on size, columns, and license are not provided in the metadata.

Use Cases

• Benchmarking visual question answering models based on the OK-VQA task.
• Evaluating model performance on questions requiring outside knowledge based on the dataset's purpose.
• Training or fine-tuning multimodal AI systems based on the visual question answering domain.

Strengths

• Dataset is associated with the established OK-VQA benchmark, suggesting a defined evaluation task.
• Has a specific author (Multimodal-Fatima) and a known upload date (2023-05-29).

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count, column definitions, and license information are unknown, which may limit suitability assessment.
• Last updated 2023-05-29 02:08:55; freshness should be verified.

Provenance

Source

Multimodal-Fatima via Hugging Face.

Freshness

Last updated 2023-05-29 02:08:55.