|
|
--- |
|
|
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") |
|
|
``` |