Stvqa 7K: A Vision-Language Question Answering Dataset

Stvqa 7K is a dataset referenced in a paper available on arXiv. The dataset is hosted on the HuggingFace platform by the author OX-PIXL and was last updated on November 12, 2025. Its specific content and scale are not detailed in the provided metadata, but platform tags suggest it relates to vision-language tasks.

Use Cases

• Train a model for visual question answering on images with text (inferred from domain, verify after download)
• Benchmark multimodal reasoning systems (inferred from domain, verify after download)
• Fine-tune vision-language models for scene understanding (inferred from domain, verify after download)

Strengths

• Published on the HuggingFace platform, a major hub for AI datasets.
• Associated with a research paper (arXiv:2511.07403), suggesting academic provenance.

Limitations

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

Provenance

Source

OX-PIXL

Freshness

Last updated 2025-11-12 04:17:14; freshness should be verified.