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README.md

@@ -1,3 +1,59 @@
----
-license: mit
----
+---
+license: mit
+task_categories:
+- tabular-regression
+tags:
+- biology
+- genomics
+pretty_name: "Enformer Intervals"
+size_categories:
+- 10K<n<100K
+---
+
+# Enformer Training Intervals
+
+## Dataset Summary
+This dataset contains the specific genomic intervals used for training, validating, and testing the Enformer model, a deep learning architecture for predicting functional genomic tracks from DNA sequence. The intervals are provided for both human and mouse genomes.
+
+- **Source Publication:** [Avsec, Ž., et al. "Effective gene expression prediction from sequence by integrating long-range interactions." Nat Methods 18, 1196–1203 (2021).](https://www.nature.com/articles/s41592-021-01252-x)
+- **Genome Builds:**
+  - Human: hg38
+  - Mouse: mm10
+
+
+
+## Repository Content
+The repository includes two tab-separated values (TSV) files:
+1. `human_intervals.tsv`: 38,171 genomic regions (excluding header).
+2. `mouse_intervals.tsv`: 33,521 genomic regions (excluding header).
+
+## Dataset Structure
+
+### Data Fields
+Both files follow a standard genomic interval format:
+
+| Column | Type | Description |
+| :--- | :--- | :--- |
+| `chrom` | string | Chromosome identifier (e.g., `chr18`, `chr4`) |
+| `start` | int | Start coordinate of the interval |
+| `end` | int | End coordinate of the interval |
+| `split` | string | Data partition assignment (`train`, `test`, or `val`) |
+
+### Statistics
+| File | Number of Regions | Genome Build |
+| :--- | :--- | :--- |
+| `human_intervals.tsv` | 38,171 | hg38 |
+| `mouse_intervals.tsv` | 33,521 | mm10 |
+
+## Usage
+
+```python
+from huggingface_hub import hf_hub_download
+import pandas as pd
+
+file_path = hf_hub_download(repo_id="Genentech/enformer-data", filename="human_intervals.tsv")
+df_human = pd.read_csv(file_path, sep='\t')
+
+file_path = hf_hub_download(repo_id="Genentech/enformer-data", filename="mouse_intervals.tsv")
+df_mouse = pd.read_csv(file_path, sep='\t')
+```