| # scFATE — NeurIPS 2026 datasets | |
| Paper-canonical splits and biological-descriptor multiview tensors for the four perturbation benchmarks evaluated in | |
| [`Angione-Lab/scFATE`](https://huggingface.co/Angione-Lab/scFATE). | |
| ## Files | |
| | Path | Source | Use | | |
| |---|---|---| | |
| | `CRISPRa-norman/norman2019_gears_split.h5ad` | Norman et al. 2019, GEARS split | CRISPRa (Norman) | | |
| | `replogle_k562/replogle_k562.h5ad` | Replogle et al. 2022 | K562 CRISPRi | | |
| | `replogle_rpe1/replogle_rpe1.h5ad` | Replogle et al. 2022 | RPE1 CRISPRi | | |
| | `sciplex3/sciplex3.h5ad` | Srivatsan et al. 2020 | SciPlex3 chemical | | |
| | `gene_embeddings/{norman,replogle_k562,replogle_rpe1}_multiview.pt` | precomputed | gene-descriptor multiview | | |
| | `drug_embeddings/sciplex3_multiview_v2.pt` | precomputed (Morgan + RDKit + ChemBERTa) | drug-descriptor multiview | | |
| | `splits/sciplex3_split_v2b.json` | mechanism-of-action stratified | SciPlex3 25-drug OOD split | | |
| ## Usage | |
| ```python | |
| from huggingface_hub import snapshot_download | |
| data_dir = snapshot_download("Angione-Lab/scFATE-datasets", repo_type="dataset") | |
| # Then in scFATE training code, point --dataset_h5ad at e.g. | |
| # {data_dir}/replogle_k562/replogle_k562.h5ad | |
| ``` | |