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README.md

@@ -25,7 +25,7 @@ tags:
 - peft
 - vllm-semantic-router
 datasets:
-- rootfs/user-satisfaction-dataset
+- llm-semantic-router/feedback-detector-dataset
 metrics:
 - accuracy
 - f1
@@ -38,8 +38,8 @@ model-index:
       type: text-classification
       name: User Feedback Classification
     dataset:
-      name: user-satisfaction-dataset
-      type: rootfs/user-satisfaction-dataset
+      name: feedback-detector-dataset
+      type: llm-semantic-router/feedback-detector-dataset
     metrics:
     - type: accuracy
       value: 0.9689
@@ -201,7 +201,7 @@ model = PeftModel.from_pretrained(base_model, "llm-semantic-router/mmbert-feedba
 - **Batch Size**: 32
 - **Epochs**: 5
 - **Max Length**: 512
-- **Dataset**: [rootfs/user-satisfaction-dataset](https://huggingface.co/datasets/rootfs/user-satisfaction-dataset)
+- **Dataset**: [llm-semantic-router/feedback-detector-dataset](https://huggingface.co/datasets/llm-semantic-router/feedback-detector-dataset)
 
 ## Use Cases