VLM-Ready: 1,000 Historical Recipes with JSON Metadata

1,000 historical recipes prepared for Vision-Language Model training. The dataset includes JSON metadata, suggesting structured information about the recipes. It is hosted on Kaggle, but the original source and collection methodology are not detailed in the provided metadata.

Use Cases

• Fine-tune a Vision-Language Model to generate descriptions from images of historical recipe pages (inferred from domain, verify after download)
• Train a model to extract structured information (ingredients, instructions) from scanned recipe documents (inferred from domain, verify after download)
• Analyze historical cooking trends and ingredient usage through the provided JSON metadata (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for data science resources.
• Includes JSON metadata, which suggests structured, machine-readable information.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column definitions are unknown, limiting suitability assessment.
• Data may reflect temporal or source bias inherent to its unspecified collection method.

Provenance

Source

Kaggle

Collection Method

Collection method is unknown.

Time Range

Temporal coverage is unknown.

Freshness

Last updated date is unknown; freshness unverified.

Geography

Spatial coverage is unknown.