Set monthly as default config and reorder documentation

README.md

@@ -15,10 +15,11 @@ tags:
 size_categories:
 - 100K<n<1M
 configs:
-- config_name: full
-  data_files: "full/data.csv"
 - config_name: monthly
   data_files: "monthly/data.csv"
+  default: true
+- config_name: full
+  data_files: "full/data.csv"
 ---
 
 # GitHub Trending Projects (2013-2025)
@@ -44,23 +45,7 @@ This dataset captures the evolution of GitHub's trending repositories over time,
 
 This dataset has **two configurations** defined in the YAML header:
 
-### Configuration: `full` (Default)
-Complete daily trending data with 423,098 entries
-
-```python
-from datasets import load_dataset
-ds = load_dataset('ronantakizawa/github-top-projects', 'full')
-```
-
-**Columns:**
-- `name` (string): Repository name
-- `star_count` (int): Star count (may be empty for pre-2020)
-- `fork_count` (int): Fork count (may be empty for pre-2020)
-- `repo_owner` (string): Repository owner/organization
-- `rank` (int): Position in trending (1-25)
-- `date` (string): Snapshot date (YYYY-MM-DD)
-
-### Configuration: `monthly`
+### Configuration: `monthly` (Default)
 Top 25 repositories per month with 3,200 entries
 
 ```python
@@ -78,6 +63,22 @@ ds = load_dataset('ronantakizawa/github-top-projects', 'monthly')
 - `fork_count` (int): Maximum recorded forks
 - `ranking_appearances` (int): Times appeared in trending that month
 
+### Configuration: `full`
+Complete daily trending data with 423,098 entries
+
+```python
+from datasets import load_dataset
+ds = load_dataset('ronantakizawa/github-top-projects', 'full')
+```
+
+**Columns:**
+- `name` (string): Repository name
+- `star_count` (int): Star count (may be empty for pre-2020)
+- `fork_count` (int): Fork count (may be empty for pre-2020)
+- `repo_owner` (string): Repository owner/organization
+- `rank` (int): Position in trending (1-25)
+- `date` (string): Snapshot date (YYYY-MM-DD)
+
 ## 🏆 Scoring Methodology
 
 Monthly rankings use a **weighted frequency and position-based scoring system**: