Update README.md

README.md

@@ -30,4 +30,19 @@ inputs = tokenizer.encode(text, return_tensors="pt").to(device)
 output_ids = model.generate(inputs, max_length=512)
 response_text = self.tokenizer.decode(outputs[0], skip_special_tokens=True)
 # SELECT COUNT( * ) FROM track
+```
+
+# How to Train
+
+Dataset: 
+- https://huggingface.co/datasets/laion/OIG#unified_sqlv1jsonl-17000
+- https://huggingface.co/datasets/laion/OIG#unified_sqlv2jsonl24000
+
+```json
+{
+    "text":"<human>: Given the following schema:\nlocation (restaurant_id, house_number, street_name, city_name)\nrestaurant (id, name, food_type, city_name, rating)\ngeographic (city_name, county, region)\nWrite a SQL query to give me some good arabic -s on buchanan in san francisco ?\n<bot>: SELECT location.house_number , restaurant.name FROM location , restaurant WHERE location.city_name = \"san francisco\" AND location.street_name = \"buchanan\" AND restaurant.food_type = \"arabic\" AND restaurant.id = location.restaurant_id AND restaurant.rating > 2.5 ;",
+    "metadata":{
+        "source":"unified_sqlv1"
+    }
+}
 ```