Update README.md

README.md

@@ -103,4 +103,21 @@ print(responses)
 
 You can also fine-tune Prem-1B-SQL using HuggingFace Transformers and with [PremSQL Tuners](https://docs.premai.io/premsql/tuners)  as well.
 Please [check out our documentation](https://docs.premai.io/premsql) to know about more about PremSQL and all the features
-we provide.
+we provide.
+
+
+## Datasets used to train the model
+
+Prem-1B-SQL is trained using the following datasets:
+
+1. [BirdBench Training dataset](https://bird-bench.github.io/) | Uploaded on [PremSQL datasets on HF](https://huggingface.co/datasets/premai-io/birdbench)
+2. [Spider dataset](https://yale-lily.github.io/spider) | Uploaded on [PremSQL datasets on HF](https://huggingface.co/datasets/premai-io/spider)
+3. [Domain specialization dataset, gathered and uploaded to PremSQL datasets](https://huggingface.co/datasets/premai-io/domains)
+4. [Gretel AI synthetic dataset](https://huggingface.co/datasets/gretelai/synthetic_text_to_sql?row=0)
+
+Additionally we made error handling datasets on top of these datasets to make the model learn from its errors and self correct them. 
+
+
+## Evaluation results of Prem-1B-SQL
+
+The results of Prem-1B-SQL on some public benchmarks will be published soon.