metadata
language:
- en
license: mit
pretty_name: Variant–Evidence Integrity v0.1
dataset_name: variant-evidence-integrity-v0.1
tags:
- clarusc64
- genomics
- variant-interpretation
- evidence
- causality
- integrity
task_categories:
- text-classification
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: data/train.csv
- split: test
path: data/test.csv
What this dataset tests
Variant × evidence × claim.
Whether a genetic variant claim is grounded in real evidence.
Common error modes
- pathogenic label without functional evidence
- GWAS association treated as causality
- in silico prediction treated as proof
Required outputs
- evidence binding map
- evidence gaps
- claim overreach flags
- confidence calibration
Suggested prompt wrapper
System
You bind variant claims to evidence. You calibrate confidence to evidence strength.
User
Variant
{variant}
Evidence pack
{evidence_pack}
Claim
{claim}
Return
- evidence binding map
- evidence gaps
- claim overreach flags
- confidence calibration
Citation
ClarusC64 dataset family