datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
chinese-biomedicine-and-genomics-open-intelligence
🔬 Chinese Biomedicine, Cell Therapy & Genomics Open Intelligence Dataset
Curated open intelligence dataset providing English briefs, clinical trial benchmarks, verified abstracts, and DOIs of frontier Chinese research in Cellular Therapeutics, Gene Editing, ADCs, and NMPA Clinical Approvals.
[!IMPORTANT]
Data Completeness & Research Authenticity Notice:
Included in this Hugging Face Open Dataset: English structured abstracts, core quantitative takeaways, author… See the full description on the dataset page: https://huggingface.co/datasets/simpleG2023/chinese-biomedicine-and-genomics-open-intelligence.greengenes
Greengenes Dataset (modified for deeptaxa)
This dataset contains 16S rRNA gene sequences with hierarchical taxonomic annotations, designed for training and evaluating models like DeepTaxa. It is a processed version of the Greengenes database, widely used in microbiome research.
Dataset Details
The dataset includes the following files:
File Name
Type
Number of Sequences
Size
gg_2024_09_training.fna.gz
FASTA (sequences)
277,336
~96.4 MB… See the full description on the dataset page: https://huggingface.co/datasets/systems-genomics-lab/greengenes.applied-genomicsSynthetic-cancer-clinical-genomics
Synthetic Cancer Clinical Genomics Dataset
This repository contains multi-modal synthetic clinical-genomic data designed for oncology tracking, therapeutic progression analysis, and financial cost-modeling. The dataset is organized relationally under four core entities: Patients, Genomic Biomarkers, Clinical Encounters, and Financial Claims.
Dataset Structure
The dataset is provided as a unified JSON file containing four arrays of structured objects.
{
"patients": [...]… See the full description on the dataset page: https://huggingface.co/datasets/AnodeAI/Synthetic-cancer-clinical-genomics.africa-synth-cancer-breast-cancer-genomics-ssa-all
Breast Cancer Genomics Synthetic Dataset (Sub-Saharan Africa) | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-cancer-breast-cancer-genomics-ssa-all.context-population-generalization-genomics-v01
Dataset
ClarusC64/context-population-generalization-genomics-v01
This dataset tests one capability.
Can a model keep genetic claims inside the population and context they were measured in.
Core rule
Genomic findings are population bound.
A claim must respect
ancestry
cohort design
sample context
transfer limits
What is true in one populationdoes not automatically hold in another.
Canonical labels
WITHIN_SCOPE
OUT_OF_SCOPE
Files… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/context-population-generalization-genomics-v01.uncertainty-incompleteness-functional-unknowns-genomics-v01
Dataset
ClarusC64/uncertainty-incompleteness-functional-unknowns-genomics-v01
This dataset tests one capability.
Can a model resist inventing biological function when evidence is incomplete.
Core rule
Genomics contains large unknowns.
A claim must respect
incomplete annotation
context specific regulation
limits of prediction
absence of functional validation
Prediction is not proof.
Annotation is not mechanism.
Expression is not causation.
Canonical labels… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/uncertainty-incompleteness-functional-unknowns-genomics-v01.africa-synth-cancer-cancer-genomics-molecular-africa-all
Cancer Genomics Molecular Africa | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-cancer-cancer-genomics-molecular-africa-all.comparative-genomics.GCF_005280335.1_ASM528033v1_genomiccausal-inference-variant-interpretation-genomics-v01
Dataset
ClarusC64/causal-inference-variant-interpretation-genomics-v01
This dataset tests one capability.
Can a model distinguish association from causation when interpreting genetic variants.
Core rule
Genomic evidence has tiers.
A claim must respect
evidence strength
effect size
penetrance
inheritance logic
Association does not equal causation.
Risk does not equal destiny.
Uncertain does not equal pathogenic.
Canonical labels
WITHIN_SCOPE… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/causal-inference-variant-interpretation-genomics-v01.comparative-genomics.GCF_023573625.1_ASM2357362v1_genomicBMC_Medical_Genomics_Peer_Reviews
BMC Medical Genomics Peer Reviews
This dataset contains peer reviews from BMC, standardized to match the format of the pawin205/PeerRT dataset.
Dataset Structure
Each record contains the following attributes:
relative_rank: Default value (0).
win_prob: Default value (0.0).
title: Title of the paper.
abstract: Abstract of the paper.
full_text: Full text of the paper (or review text if unavailable).
review: The peer review text.
source: Source of the data ('BMC').… See the full description on the dataset page: https://huggingface.co/datasets/JerMa88/BMC_Medical_Genomics_Peer_Reviews.comparative-genomics.GCF_020097155.1_ASM2009715v1_genomicMedical_genomics
ANODE: Synthetic NSCLC EHR & Genomics Dataset
Title: ANODE-OncoGen High-Fidelity Synthetic Records
This dataset consists of a high-density .jsonl collection of synthetic patient records for Non-Small Cell Lung Cancer (NSCLC), integrating clinical history with deep genomic markers.
📋 Full Feature Specifications
The dataset includes the following features for every patient record:
1. Administrative & Metadata
patient_id: Unique identifier for the… See the full description on the dataset page: https://huggingface.co/datasets/AnodeAI/Medical_genomics.comparative-genomics.GCF_003691675.1_ASM369167v1_genomiccomparative-genomics.GCF_002008305.4_ASM200830v4_genomicGenomics_oncologyPrecision-Crop-Genomics-lane-state
Precision-Crop-Genomics — lane-state mirror
Public mirror of the Precision-Crop-Genomics lane's product-page bundle and
orchestration state. This dataset is the redundant-storage backup of the lane
work; the canonical source of truth is the GitHub lane repo.
Canonical source
GitHub (canonical): https://github.com/Zer0pa/Precision-Crop-Genomics
GitHub branch holding this bundle:
lane-agent/showcase-product-page-2026-05-12
GitHub commit at upload time: 0ffe5843cb71… See the full description on the dataset page: https://huggingface.co/datasets/Zer0pa/Precision-Crop-Genomics-lane-state.genellm-genomics-finetuneGenomics_oncology