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PythonReactSEOPDF
GitHub Skill

bench

Run benchmark and analyze PDF parsing performance

opendataloader-project☆ 831 Repository stars45 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

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Skill instructions

/bench

Builds Java and runs the full benchmark suite, then analyzes results.

Execution Steps

  1. Run ./scripts/bench.sh
  2. Extract metrics from tests/benchmark/prediction/opendataloader/evaluation.json using:
    jq '{summary, metrics, table_detection, speed}' tests/benchmark/prediction/opendataloader/evaluation.json
    
  3. Output summary:
    • NID (reading order)
    • TEDS (table structure)
    • MHS (heading structure)
    • Table Detection F1/Precision/Recall
    • Speed (s/doc, total time)
  4. Compare with thresholds in tests/benchmark/thresholds.json
  5. Warn if regression detected

Options

  • /bench --doc-id 01030000000189 - Run for a specific document only

Notes

  • Benchmark won't run if Java build fails
  • First run installs Python dependencies via uv sync

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-28
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

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