Document Extraction Test Cases for Scientific Literature

Test cases for intelligent parsing of scientific literature, published on figshare by Yang Yuan. The dataset is 172.9 MB in size and includes files in JSON and PDF formats. It was last updated on April 16, 2026.

Use Cases

• Benchmarking document extraction algorithms on scientific PDFs (inferred from domain, verify after download)
• Training multimodal models that process both text and layout information (inferred from domain, verify after download)
• Creating evaluation suites for scientific literature parsing tools (inferred from domain, verify after download)

Strengths

• Published under the permissive CC-BY-4.0 license.
• Dataset size is 172.9 MB, indicating a medium-scale collection of test files.
• Includes multiple file formats (JSON, PDF), suggesting multimodal content.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count and specific column structure are unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the source platform and the author's specific research focus.

Provenance

Source

figshare

Freshness

Last updated 2026-04-16 08:22:47; freshness should be verified.