Add split distributions and fix loading code

- Add human split distribution (train/val/test counts)
- Add mouse split distribution (train/val/test counts)
- Fix repo_type="dataset" missing from hf_hub_download
- Update publication reference to Linder et al. 2025

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

README.md

@@ -13,10 +13,10 @@ size_categories:
 # borzoi-data
 
 ## Dataset Summary
-This dataset contains the specific genomic intervals used for training, validating, and testing the Borzoi model, a deep learning architecture for predicting functional genomic tracks from DNA sequence. The intervals are provided for both human and mouse genomes. We modified the intervals provided in the original source by extending the input sequence to 524,288 bp to create the full interval that was supplied to the model.
+This dataset contains the specific genomic intervals used for training, validating, and testing the Borzoi model, a deep learning architecture for predicting functional genomic tracks from DNA sequence. The intervals are provided for both human and mouse genomes. We modified the intervals provided in the original source by extending the input sequence to 524,288 bp to create the full interval that was supplied to the model.
 
-- **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)
-- **Original Source** https://github.com/calico/borzoi/tree/main/data
+- **Publication:** [Linder, J. et al. Nature Genetics (2025)](https://www.nature.com/articles/s41588-024-02053-6)
+- **Original Source:** https://github.com/calico/borzoi/tree/main/data
 - **Genome Builds:**
   - Human: hg38
   - Mouse: mm10
@@ -49,15 +49,39 @@ Both files follow a standard genomic interval format:
 | `human_intervals.tsv` | 55,497 | hg38 |
 | `mouse_intervals.tsv` | 49,369 | mm10 |
 
+### Data Splits
+
+**Human (hg38)**
+| Split | Count |
+|-------|-------|
+| train | 41,699 |
+| val | 6,910 |
+| test | 6,888 |
+
+**Mouse (mm10)**
+| Split | Count |
+|-------|-------|
+| train | 36,950 |
+| val | 6,318 |
+| test | 6,101 |
+
 ## Usage
 
 ```python
 from huggingface_hub import hf_hub_download
 import pandas as pd
 
-file_path = hf_hub_download(repo_id="Genentech/borzoi-data", filename="human_intervals.tsv")
+file_path = hf_hub_download(
+    repo_id="Genentech/borzoi-data",
+    filename="human_intervals.tsv",
+    repo_type="dataset"
+)
 df_human = pd.read_csv(file_path, sep='\t')
 
-file_path = hf_hub_download(repo_id="Genentech/borzoi-data", filename="mouse_intervals.tsv")
+file_path = hf_hub_download(
+    repo_id="Genentech/borzoi-data",
+    filename="mouse_intervals.tsv",
+    repo_type="dataset"
+)
 df_mouse = pd.read_csv(file_path, sep='\t')
-```
+```