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---
# 1. Metadata Block
license: mit
task_categories:
- tabular-classification
tags:
- biology
- genomics
pretty_name: "gReLU Tutorial 2 dataset"
size_categories:
- 1M<n<10M
---
# tutorial-2-data
## Dataset Summary
This dataset contains binary accessibility values for 1154611 CREs in 222 cell types. The original source of this data is CATlas (https://decoder-genetics.wustl.edu/catlasv1/humanenhancer/data/cCRE_by_cell_type/). For more details, see https://decoder-genetics.wustl.edu/catlasv1/catlas_humanenhancer/#!/. This version of the dataset is used in gReLU tutorial 2 (https://github.com/Genentech/gReLU/blob/main/docs/tutorials/2_finetune.ipynb).
## Dataset Structure
### Data Fields
In `.obs`:
| Column | Type | Description |
| :--- | :--- | :--- |
| `cell type` | string | Name of the cell type |
In `.var`:
| Column | Type | Description |
| :--- | :--- | :--- |
| `chrom` | string | Chromosome (e.g., `chr6`) |
| `start` | int | Genomic start position (hg38) |
| `end` | int | Genomic end position (hg38) |
| `Class` | category | CRE class |
`.X` is a binary accessibility matrix of shape (222 × 1154611) in Compressed Sparse Row format.
## Usage
```python
import anndata
from huggingface_hub import hf_hub_download
file_path = hf_hub_download(repo_id="Genentech/tutorial-2-data", filename="data.h5ad")
ada = anndata.read_h5ad(file_path)
```