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license: mit
task_categories:
- image-classification
- feature-extraction
tags:
- biology
- microscopy
- CRISPR
- evaluation
- benchmark
size_categories:
- 1M<n<10M
---
# OPS-Eval: Leakage-Resistant Evaluation for Optical Pooled Screens
Benchmark artifacts for evaluating representation learning on pooled CRISPR
microscopy data. This dataset accompanies a submission to the NeurIPS 2026
Evaluations and Datasets Track.
## Contents
| Directory/File | Description | Size |
|----------------|-------------|------|
| `montages/` | Per-gene montage images (4 channels x 2 phases, ~10 PNGs per gene) | ~66 GB |
| `cell_embeddings/` | Pre-extracted 512-dim cell embeddings per sgRNA (.npz) | ~15 GB |
| `splits_v1.json` | Gene-disjoint train/val/test split (3,628 / 694 / 1,000 genes) | 1.4 MB |
| `splits_v1_random.json` | Random image-level split (comparison, demonstrates leakage) | 1.4 MB |
| `splits_v1_sgrna_disjoint.json` | Guide-disjoint split (comparison) | 1.3 MB |
| `gene_metadata.parquet` | Per-gene metadata: cluster labels, mitotic index, guide count, 98-dim features | 1.9 MB |
| `sgrna_metadata.parquet` | Per-sgRNA metadata | 48 KB |
| `leakage_audit_v1.json` | Formal verification of zero gene overlap across splits | 99 KB |
| `manifest_v1.json` | SHA-256 checksums for all montage images | 4 KB |
| `external_gene_pairs_v1.json` | STRING + CORUM gene relationships for co-functional retrieval | 14 MB |
| `results/` | All experiment results (baseline ladder, ablations, split sensitivity) | 2.4 MB |
| `idr0071/` | External validation on independent idr0071 dataset (A549 cells) | 7.4 MB |
| `cellpaint_posh/` | Cell Painting POSH replication: features (`.pq`) and sgRNA library (`.csv`) | 1.5 GB |
## Montage Image Structure
Each gene directory contains ~10 PNG files following the naming convention:
```
{GENE}.{phase}-montage-{channel}.png
```
- **Phases:** `interphase`, `mitotic`
- **Channels:** 0=DNA/DAPI, 1=Tubulin, 2=gH2AX, 3=Actin, 4=Label (segmentation mask)
- **Dimensions:** ~2700x2000 px per montage
- **Band structure:** 5 horizontal bands per montage (sgRNA 1-4 + non-targeting control), each containing ~100 tiled single-cell crops at ~100x100 px
Total: 5,322 genes, ~53,000 montage images, ~2.1M single cells.
## Cell Embeddings
Pre-extracted 512-dimensional cell-level embeddings (float16) from a frozen ResNet-18 encoder.
One `.npz` file per gene, with keys corresponding to individual sgRNAs.
## Quick Start
```python
from huggingface_hub import hf_hub_download, snapshot_download
import json
# Download just the splits
path = hf_hub_download("cspeters119/ops-eval", "splits_v1.json", repo_type="dataset")
splits = json.load(open(path))
print(f"Loaded splits for {len(splits)} genes")
# Download a single gene's montages
snapshot_download("cspeters119/ops-eval", repo_type="dataset",
allow_patterns="montages/AAAS/*")
# Download everything (warning: ~85 GB)
snapshot_download("cspeters119/ops-eval", repo_type="dataset")
```
## Code
See the supplementary material for evaluation code,
baseline implementations, and one-command reproduction harness
(`bash scripts/run_all.sh --tiny`).
## License
MIT
|