Recall rates for the VExtractor and SemanticVExtractor algorithms, where the gold standard was the Manually Curated Venoms table. The data was authored by Joseph D. Romano and is available via the paperswithcode platform under an Open Access (green) license.
Use Cases
- Benchmarking algorithm performance based on recall rates mentioned in the description
- Comparing the effectiveness of VExtractor versus SemanticVExtractor based on the described evaluation
- Validating new extraction methods against the described gold standard
Strengths
- Provides a direct comparison of two specific algorithms (VExtractor and SemanticVExtractor).
- Uses a manually curated gold standard (Manually Curated Venoms table) for evaluation.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Joseph D. Romano via paperswithcode
- Collection Method
- Likely contains results from an experimental evaluation comparing algorithms against a manual standard.