Datalab released OmniExtractBench. It is a structured extraction benchmark. It uses 620 diverse documents from four suites. It provides clear, consistent and auditable scoring. It tests edge cases like scans, dense tables and forms. The dataset is CC BY 4.0 licensed. The scorer is Apache 2.0 licensed. It can run with one command line. It supports multiple providers. It returns accuracy, precision, recall and F1 metrics. It offers verdicts for deeper failure analysis.
What it unlocks
Benchmarking structured extraction models on realistic, auditable, diverse documents.
- 620 documents
- 4 suites
- CC BY 4.0 license
What you need to act on it
- Python environment
- API keys for providers
Sources