| | --- |
| | task_categories: |
| | - zero-shot-classification |
| | tags: |
| | - biology |
| | - genomics |
| | - long-context |
| | configs: |
| | - config_name: hg38 |
| | data_files: |
| | - split: test |
| | path: hg38.parquet |
| | - config_name: ClinVar_VEP_results |
| | data_files: |
| | - split: test |
| | path: ClinVar_VEP_results.parquet |
| | --- |
| | |
| | ## Updates |
| | **[2025-09-09]** We have added ClinVar variant effect prediction results to the repository. The evaluation dataset was sourced from [SongLab](https://huggingface.co/datasets/songlab/clinvar/tree/main). The benchmark includes comparisons of GENERator against Evo2, NT, NT-v2, HyenaDNA, GPN-MSA, CADD, phyloP, and phastCons. |
| |
|
| | ## Abouts |
| | The human reference genome data is sourced from the [NCBI website](https://www.ncbi.nlm.nih.gov/datasets/genome/GCF_000001405.40/). |
| |
|
| | We have applied minor formatting adjustments to the dataset to facilitate streamlined data analysis. |
| |
|
| | ## How to use |
| | ```python |
| | from datasets import load_dataset |
| | |
| | datasets = load_dataset("GenerTeam/variant-effect-prediction") |
| | ``` |
