datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Eval1
Biomni-Eval1
To use this dataset, simply pip install biomni and then do:
from biomni.eval import BiomniEval1
# Initialize
evaluator = BiomniEval1()
# Get instance details
instance = evaluator.get_instance('gwas_causal_gene_opentargets', 0)
print(f"Prompt: {instance['prompt']}")
print(f"Answer: {instance['answer']}")
# Evaluate user answer
score = evaluator.evaluate('gwas_causal_gene_opentargets', 0, 'BRCA1')
print(f"Score: {score}") # 0.0 or 1.0
Important Notes… See the full description on the dataset page: https://huggingface.co/datasets/biomni/Eval1.biomnibench-organized
BioMniBench DA — Reorganized
A clean, manifest-driven reorganization of the
BioMniBench DA (Data Analysis) task suite,
shaped for use with the
biomnibench-adapter evaluation
harness and the native skill-learning loop that ships with it.
This Hugging Face repository hosts the metadata, evaluation rubric and data manifest for
all 50 tasks. The raw input data files (which total ~77 GB and originate upstream from
GEO/TCGA/cBioPortal/etc.) are not redistributed here — see
Getting… See the full description on the dataset page: https://huggingface.co/datasets/starpacker52/biomnibench-organized.biomni-eval1
Biomni-Eval1 data
This directory is the local input for the native Biomni-Eval1 harness in
mega_eval/benchmarks/biomni_eval1.py.
Default mirror: ssswwwxxx/biomni-eval1
Official source: biomni/Eval1
Split: official val (433 instances across 10 tasks)
License: Apache-2.0
Local file: validation.parquet (ignored by Git)
Reproducibility: manifest.json pins the resolved Hub commit and file hash
Official evaluator reference: Biomni commit 400c1f366b96a35ca253e13c9b06c5076af41d65… See the full description on the dataset page: https://huggingface.co/datasets/ssswwwxxx/biomni-eval1.