Bioinformatics
Bioinformatics
🔭 Overview
R2MED: First Reasoning-Driven Medical Retrieval Benchmark
R2MED is a high-quality, high-resolution synthetic information retrieval (IR) dataset designed for medical scenarios. It contains 876 queries with three retrieval tasks, five medical scenarios, and twelve body systems.
Dataset
#Q
#D
Avg. Pos
Q-Len
D-Len
Biology
103
57359
3.6
115.2
83.6
Bioinformatics77
47473
2.9
273.8
150.5
Medical Sciences
88
34810
2.8
107.1
122.7
MedXpertQA-Exam
97… See the full description on the dataset page: https://huggingface.co/datasets/R2MED/Bioinformatics.Bioinformatics
🔭 Overview
R2MED: First Reasoning-Driven Medical Retrieval Benchmark
R2MED is a high-quality, high-resolution synthetic information retrieval (IR) dataset designed for medical scenarios. It contains 876 queries with three retrieval tasks, five medical scenarios, and twelve body systems.
Dataset
#Q
#D
Avg. Pos
Q-Len
D-Len
Biology
103
57359
3.6
115.2
83.6
Bioinformatics77
47473
2.9
273.8
150.5
Medical Sciences
88
34810
2.8
107.1
122.7
MedXpertQA-Exam
97… See the full description on the dataset page: https://huggingface.co/datasets/introvoyz041/Bioinformatics.mst_gesynthetic-hla-frequencies
Synthetic HLA haplotype frequencies
This data is synthetic. It does not describe any real population, cohort, registry or
individual. Do not use it for clinical, epidemiological or population-genetics conclusions.
A generated five-locus (A~C~B~DRB1~DQB1) HLA haplotype frequency dataset, built as a
license-free test fixture for tools that consume haplotype frequency data — format
validators, converters, QC and diversity metrics, and publishing pipelines. Real frequency
datasets… See the full description on the dataset page: https://huggingface.co/datasets/nmdp-bioinformatics/synthetic-hla-frequencies.stackexchange_bioinformaticsbioinformatics-qa-dataset
Bioinformatics QA Dataset
A curated question-answer dataset for bioinformatics and computational biology model training.
Summary
Total examples: 5880
Unique topics: 65
Columns: id, topic, question, answer
Source format: CSV converted to Hugging Face Dataset
Intended Use
This dataset is intended for:
Instruction tuning and domain adaptation for biomedical and bioinformatics LLMs
QA benchmarking in life-science terminology
Prompt-response training pipelines… See the full description on the dataset page: https://huggingface.co/datasets/yashm/bioinformatics-qa-dataset.