Sepideh2027/Agent
Year: 2025License: MITAuthor: Sepideh Moafi PathogenAgentAI Instruction Dataset Dataset Description A ClinVar-derived dataset developed as part of the PathogenAgentAI research software project. The dataset is released in two parallel formats: Tabular version (train.csv, valid.csv, test.csv) — structured genomic-variant data for classical ML and analysis. BioGPT instruction version (biogpt_train.csv, biogpt_valid.csv, biogpt_test.csv) — instruction-style data… See the full description on the dataset page: https://huggingface.co/datasets/Sepideh2027/Agent.
Year: 2025 License: MIT Author: Sepideh Moafi
PathogenAgentAI Instruction Dataset
Dataset Description
A ClinVar-derived dataset developed as part of the PathogenAgentAI research software project. The dataset is released in two parallel formats:
- Tabular version (
train.csv,valid.csv,test.csv) — structured genomic-variant data for classical ML and analysis. - BioGPT instruction version (
biogpt_train.csv,biogpt_valid.csv,biogpt_test.csv) — instruction-style data for fine-tuning biomedical language models.
Dataset Structure
Splits
Tabular Fields
GeneSymbol(string): Gene symbol (e.g., AP5Z1, ZNF592)ClinicalSignificance(string): Clinical significance (e.g., Pathogenic, Likely pathogenic, Uncertain significance)Assembly(string): Genome assembly (e.g., GRCh38)Chromosome(string): Chromosome numberStart(int64): Variant start position
Instruction Fields
The biogpt_*.csv files are formatted for instruction tuning of biomedical language models (e.g., BioGPT), derived from the same ClinVar source data.
Source Data
Derived from ClinVar, a publicly available archive of reports of the relationships among human variations and phenotypes.
Intended Use
- Fine-tuning biomedical language models (BioGPT and similar)
- Research on genomic variant interpretation
- Classical ML on structured variant data
- Reproducible biomedical AI experiments
Not intended for clinical diagnosis, treatment decisions, or direct clinical use.
Licensing
Released under the MIT License.
Citation
If you use this dataset in research, please cite:
BioGPT-ClinVar: Parameter-Efficient Fine-Tuning of a Biomedical Foundation Model. Research Square, 2026. DOI: 10.21203/rs.3.rs-10196893/v1
Contact
Sepideh Moafi GitHub: AIResearcher20 Hugging Face: Sepideh2027
