DOAB Open Access Books with Page Images and Bibliographic Metadata

Penn State ScholarSphere provides 9,363 open access books with page images and bibliographic metadata extracted from MARC21 records. The dataset was curated by author biglam for training and evaluating Vision Language Models on automatic metadata extraction from scholarly monographs. It was last updated on October 16, 2025.

Use Cases

• Training Vision Language Models for automatic metadata extraction based on page images and bibliographic data.
• Evaluating model performance on parsing structured bibliographic information from MARC21 records.
• Benchmarking multimodal systems on tasks involving scholarly monograph analysis.

Strengths

• Contains 9,363 open access books, providing a substantial corpus for model training.
• Includes both page images and rich bibliographic metadata extracted from MARC21 records.
• Curated specifically for Vision Language Model training and evaluation on a defined task.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Freshness should be verified as the last update was 2025-10-16.

Provenance

Source

Penn State ScholarSphere DOAB collection (Directory of Open Access Books).

Collection Method

Derived from MARC21 records.

Freshness

Last updated 2025-10-16 10:37:56.