fix github link

README.md

@@ -17,18 +17,21 @@ size_categories:
 # Gazet Dataset
  
 Synthetic training data for finetuning small language models on geospatial tasks over [Overture Maps](https://overturemaps.org/) and [Natural Earth](https://www.naturalearthdata.com/) parquet datasets.
- 
+
 ## Tasks
  
 ### SQL generation (`sql/`)
+
 Input: user query + fuzzy-matched candidate entities (CSV)  
 Output: DuckDB spatial SQL query  
  
 ### Place extraction (`places/`)
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 Input: natural language query  
 Output: structured JSON with place names, country codes, and subtypes 
  
 ## Format
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 Each JSONL row is a conversation in chat-template format:
  
 ```json
@@ -42,6 +45,7 @@ Each JSONL row is a conversation in chat-template format:
 ```
 
 ## Splits
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 | Task | Train | Val | Test |
 |---|---|---|---|
 | SQL | `sql/train.jsonl` | `sql/val.jsonl` | `sql/test.jsonl` |
@@ -50,8 +54,12 @@ Each JSONL row is a conversation in chat-template format:
 See `stats.json` for per-family sample counts.
 
 ## Generation
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 Data is generated from SQL templates applied to real Overture/Natural Earth spatial relations (adjacency, containment, intersection, etc.). Templates produce both the training SQL and the natural language question.
-Full generation pipeline: `github.com/developmentseed/gazet/dataset`
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+## Code & Development
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+This model was trained and evaluated using code in the [**developmentseed/gazet**](https://github.com/developmentseed/gazet) GitHub repository.
 
 ## Trained model
 `developmentseed/gazet-model` - Qwen3.5-0.8B finetuned on this dataset