AVP Task: Ablation Study Results with 5-Fold Cross-Validation

A 5.5 KB Excel file containing results from an ablation study on the AVP task. The dataset was authored by Enyan Liu and last updated on June 2, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Compare model component contributions based on ablation study results.
• Validate model evaluation methodologies using 5-fold cross-validation.
• Benchmark performance on the AVP task against reported ablation metrics.

Strengths

• Dataset is small (5.5 KB), enabling quick download and inspection.
• Clear licensing (CC-BY-4.0) facilitates open reuse and sharing.
• Specific methodology (5-fold cross-validation) is documented in the title.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely generated from a machine learning ablation experiment.

Freshness

Last updated 2026-06-02 17:36:46; freshness should be verified.