Fix YAML frontmatter and add row count

- Remove comment lines from YAML frontmatter
- Add variant count (1,000)
- Add alternative loading example with hf_hub_download

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

README.md

@@ -1,5 +1,4 @@
 ---
-# 1. Metadata Block
 license: mit
 task_categories:
 - tabular-regression
@@ -9,8 +8,6 @@ tags:
 pretty_name: "Alzheimer's GWAS variants (hg19)"
 size_categories:
 - 1K<n<10K
-
-# 2. Config & Split Management
 configs:
 - config_name: default
   data_files:
@@ -18,13 +15,16 @@ configs:
     path: "variants.csv"
 ---
 
-# alzheimer's-variant-tutorial-data
+# alzheimers-variant-tutorial-data
 
 ## Dataset Summary
-This dataset contains summary statistics for 1,000 genomic variants. Each row represents a single-nucleotide polymorphism (SNP) mapped to the hg19 reference genome.
+This dataset contains summary statistics for 1,000 genomic variants associated with Alzheimer's disease. Each row represents a single-nucleotide polymorphism (SNP) mapped to the hg19 reference genome.
 
 ## Dataset Structure
 
+- **Number of variants:** 1,000
+- **Genome build:** hg19
+
 ### Data Fields
 Based on the header of `variants.csv`:
 
@@ -43,8 +43,13 @@ Based on the header of `variants.csv`:
 ## Usage
 
 ```python
-from datasets import load_dataset
-dataset = load_dataset("Genentech/alzheimers-variant-tutorial-data", split="test")
-df = dataset.to_pandas()
-print(df.head())
-```
+from huggingface_hub import hf_hub_download
+import pandas as pd
+
+file_path = hf_hub_download(
+    repo_id="Genentech/alzheimers-variant-tutorial-data",
+    repo_type="dataset",
+    filename="variants.csv"
+)
+df = pd.read_csv(file_path)
+```