Syntheticdocqa Healthcare Industry Test: 1,000 PDF Pages for Retrieval Benchmarking

vidore's Syntheticdocqa Healthcare Industry Test dataset contains 1,000 pages sampled from PDFs collected from the internet. The dataset is designed to benchmark retrieval systems, specifically for medical documents, in realistic industrial applications. It was last updated on June 20, -2025.

Use Cases

• Benchmarking document retrieval models based on healthcare industry documents.
• Evaluating the performance of systems like ViDoRe on medical text.
• Training retrieval models on domain-specific, real-world text data.

Strengths

• Contains 1,000 pages of text from healthcare industry PDFs.
• Specifically designed for benchmarking retrieval in realistic industrial applications.

Limitations

• Row count, column definitions, and file formats are unknown.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Data may reflect source bias inherent to documents collected via a web crawler.

Provenance

Source

vidore on Hugging Face.

Collection Method

Collected via a web crawler using the query 'healthcare industry'.

Time Range

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Freshness

Last updated 2025-06-20 15:44:14.

Geography

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