Now that the full end-to-end pipeline has been completed, a thorough validation and benchmarking effort is needed to evaluate its overall performance. This includes measuring classification accuracy, extraction quality, and pipeline throughput across a diverse set of PDFs from the database. Results should be documented and used to identify any remaining weak points before the pipeline is used for large-scale data harvesting.
Tasks:
- Run the full pipeline against a labelled test set and record classification and extraction metrics
- Compare extraction results against hand-annotated ground truth data
- Document failure cases and categorize error types
- Benchmark pipeline speed across varying PDF lengths and batch sizes
- Summarize findings in preparation for the technical report
Now that the full end-to-end pipeline has been completed, a thorough validation and benchmarking effort is needed to evaluate its overall performance. This includes measuring classification accuracy, extraction quality, and pipeline throughput across a diverse set of PDFs from the database. Results should be documented and used to identify any remaining weak points before the pipeline is used for large-scale data harvesting.
Tasks: