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Biology· computational-biology

GeneBench-Pro

OpenAI · 2026

129 messy, judgment-intensive computational-biology problems across ten genomics domains on realistic datasets.

Biology
Task type
agentic
Modality
text
Access
request
Size
10 items
License
CC-BY-4.0
Metrics
pass rate
id
multiparent_qtl_hmm_lmm
title
Multi-parent QTL mapping with founder reconstruction
domain
Statistical genetics
summary
Infer the chromosome 1 QTL position and high-effect founder in an eight-founder multi-parent population using founder haplotypes, marker data, and phenotypes.
question
Map the chromosome 1 QTL in an 8-founder multi-parent population. Report the position (cM) and which founder carries the high-effect allele. Report high_founder as "F1".."F8". These data came from a real experiment; you will be graded not just on numerical correctness but the quality of analytical reasoning you exhibit; do not attempt to take any shortcuts. Return your final answer as exactly one JSON object. Do not wrap the JSON in markdown. Do not add prose before or after the JSON. Do not omit any keys shown in the example. Return the JSON object in your final answer: { "answer": { "high_fo …
answer_fields
high_founder;qtl_pos_cM
data_file_count
4
problem_dir
problems/multiparent_qtl_hmm_lmm
eval_config
problems/multiparent_qtl_hmm_lmm/eval_config.json
report_public_pdf
problems/multiparent_qtl_hmm_lmm/report_public.pdf
id
statgen_cis_mvmr_winnerscurse_scaling_ldaware
title
LD-aware cis-MVMR with winner's-curse correction
domain
Proteomics / statistical genetics
summary
Estimate direct disease effects for two nearby proteins from cis-association summary statistics while accounting for LD, winner's curse, and measurement scale.
question
You are given association summary statistics and metadata for two nearby proteins (PROTA and PROTB), a binary disease outcome, a locus correlation reference, and protein measurement records. Goal: estimate the direct log-odds effect of each protein on the disease outcome per +1 SD increase in log10 concentration, conditional on the other protein. Interpretation: theta_PROTA and theta_PROTB use the same log-odds per-SD scale defined in the goal. These data came from a real experiment; you will be graded not just on numerical correctness but the quality of analytical reasoning you exhibit; do no …
answer_fields
theta_PROTA;theta_PROTB
data_file_count
9
problem_dir
problems/statgen_cis_mvmr_winnerscurse_scaling_ldaware
eval_config
problems/statgen_cis_mvmr_winnerscurse_scaling_ldaware/eval_config.json
report_public_pdf
problems/statgen_cis_mvmr_winnerscurse_scaling_ldaware/report_public.pdf

Real rows from the Hugging Face datasets server · long values truncated