Manuscript Data for LLM-Augmented Genomics Hypothesis Testing

A 1.9 GB ZIP file contains the data used for the manuscript "Incorporating large language model-derived information into hypothesis testing for genomics". The dataset was authored by Jordan Bryan and last updated on May 27, 2026. The specific number of rows and columns is not provided in the metadata.

Use Cases

• Benchmarking LLM-augmented statistical methods based on the genomics data described in the manuscript.
• Reproducing the analysis from the associated genomics and hypothesis testing paper.
• Developing new hypothesis testing frameworks that incorporate external information derived from language models.

Strengths

• Dataset size is 1.9 GB, indicating a medium-scale data collection.
• Data is directly linked to a specific, peer-reviewed scientific manuscript, providing clear context.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and redistribution.

Limitations

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

Provenance

Source

Jordan Bryan via figshare

Collection Method

Data compiled for the specific manuscript; exact collection method is not detailed.

Freshness

Last updated 2026-05-27 18:13:22; freshness should be verified.