Update app.py

app.py

@@ -48,7 +48,7 @@ with gr.Blocks(title="LLM Propensity Evaluation Leaderboard") as demo:
         
         ## Evaluation Details:
         - **Instruction Following Score**: Measures a model's tendency to follow instructions accurately. Measured using the IFEval dataset.
-        - **Factual Hallucination Rate**: Evaluates how often a model hallucinates when questioned on facts. Measured using a subset of the SimpleQA dataset, which explicitly asks uncommon facts. We calculated the rate using this formula : (1 - (correct + not_attempted)), where correct = when the model answered a question correctly and not_attempted = when a model admits to not knowing the answer to a question.*
+        - **Uncommon Facts Hallucination Rate**: Evaluates how often a model hallucinates when questioned on facts. Measured using a subset of the SimpleQA dataset, which explicitly asks uncommon facts. We calculated the rate using this formula : (1 - (correct + not_attempted)), where correct = when the model answered a question correctly and not_attempted = when a model admits to not knowing the answer to a question.*
 
         ## How to Interpret the Scores:
         * Instruction Following Score: Higher scores indicate better adherence to instructions.