Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,58 @@
+---
+license: apache-2.0
+task_categories:
+- other
+tags:
+- biology
+- single-cell
+- benchmark
+- bioinformatics
+size_categories:
+- n<1K
+---
+
+# scBench Canonical Data Files
+
+This dataset contains the .h5ad data files for the scBench canonical subset (30 evaluations across 5 platforms).
+
+## About scBench
+
+scBench is a benchmark for agentic single-cell RNA-seq analysis. It evaluates whether AI agents can solve practical bioinformatics tasks with deterministic grading.
+
+- **Paper**: https://arxiv.org/abs/2602.09063
+- **GitHub**: https://github.com/latchbio/scbench
+- **Inspect Evals**: https://github.com/UKGovernmentBEIS/inspect_evals
+
+## Files
+
+This dataset includes 18 .h5ad files corresponding to the canonical subset:
+
+- **Platforms**: Chromium, CSGenetics, Illumina, MissionBio, ParseBio
+- **Task categories**: QC, normalization, dimensionality reduction, clustering, cell typing, differential expression, trajectory analysis
+
+## Usage
+
+These files are used with the scBench evaluation in inspect_evals:
+
+```bash
+pip install inspect-evals
+uv run inspect eval inspect_evals/scbench --model anthropic/claude-haiku-4-5-20251001
+```
+
+## License
+
+Apache 2.0 (following the scBench upstream license)
+
+## Citation
+
+If you use this dataset, please cite the scBench paper:
+
+```bibtex
+@misc{scbench2025,
+  title={scBench: A Benchmark for Agentic Single Cell Data Analysis},
+  author={LatchBio},
+  year={2025},
+  eprint={2602.09063},
+  archivePrefix={arXiv}
+}
+```