Sealvqa Gqa: A Visual Question Answering Dataset

Sealvqa Gqa is a dataset hosted on HuggingFace by the author dddraxxx, last updated on August 13, 2025. Its title suggests it is related to visual question answering, likely containing image-question-answer pairs. The specific content, scale, and collection methodology require verification after download.

Use Cases

• Training a model to answer questions about images (inferred from domain, verify after download)
• Benchmarking the reasoning capabilities of vision-language models (inferred from domain, verify after download)
• Fine-tuning a model for scene understanding and object relationship analysis (inferred from domain, verify after download)

Strengths

• Published on the HuggingFace platform, facilitating access and integration with common ML tools.
• Last updated on 2025-08-13 13:21:10, indicating recent maintenance.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column definitions, and sample data are unknown, which limits suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

huggingface

Freshness

Last updated 2025-08-13 13:21:10.