F1-Scores for 1D-CNN and CNN+biLSTM Models on Rodent and Human Sleep Data

5.5 KB of F1-scores reported in the literature for 1D-CNN and CNN+biLSTM models applied to rodent and human sleep datasets. The dataset includes results from the present study, compiled by Jinyoung Choi and last updated on April 23, 2026. It is available in XLS format under a CC-BY-4.0 license.

Use Cases

• Benchmarking new sleep scoring models against reported F1-scores for 1D-CNN and CNN+biLSTM architectures.
• Analyzing the performance of deep learning models on different sleep datasets, including rodent and human data.
• Comparing results from a specific study against a collection of literature-reported performance metrics.

Strengths

• Includes results from the present study alongside literature-reported scores, providing a direct comparison point.
• Data is small (5.5 KB) and in a standard XLS format, facilitating quick inspection.

Limitations

• Row count and specific column definitions are unknown, limiting detailed assessment of the data structure.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Jinyoung Choi

Collection Method

Compiled from literature and a present study.

Freshness

Last updated 2026-04-23 17:25:30; freshness should be verified.