Update README.md

README.md

@@ -42,7 +42,7 @@ The dataset consists of 104 first-aid question–answer (QA) pairs, carefully ex
 - **Funded by:** Self-funded academic project (Academic graduation project)
 
 The dataset was built as part of the PFE project titled:
-- *Towards Building an Arabic First-Aid Chatbot using FA-AraBERT and FALAH Dataset*
+- *Towards Building an Arabic First-Aid Chatbot using FA-AraBERT Classifier and FALAH Dataset*
 ### Dataset Sources [optional]
 
 <!-- Provide the basic links for the dataset. -->
@@ -98,7 +98,7 @@ FALAH dataset should NOT be used:
 The dataset consists of **104** QA pairs.
 
 
-**Characteristics:**
+*Characteristics:*
 
 - Focused exclusively on first-aid and emergency scenarios
 
@@ -108,14 +108,24 @@ The dataset consists of **104** QA pairs.
 
 - Designed for conversational AI applications
 
-
+In the broader project, FALAH dataset was integrated into FALAH-Mix dataset(FALAH dataset with non first-aid QA pairs) for classification tasks and used independently for few-shot prompting.
 ## Dataset Creation
 
 ### Curation Rationale
 
 <!-- Motivation for the creation of this dataset. -->
+Despite the existence of large Arabic medical QA datasets, very few resources specifically focus on first-aid scenarios.
+
+*For example:*
+
+- **AHD** contained only **68** explicitly labeled first-aid QA pairs.
+
+- **Mayo Clinic First-Aid dataset** contains **374** QA pairs.
+
+This scarcity motivated the creation of **FALAH** — a curated Arabic first-aid dataset derived from real Arabic medical consultations.
+
+The goal was to create a clinically relevant dataset to support emergency-aware Arabic chatbot systems, particularly useful in humanitarian and crisis contexts.
 
-[More Information Needed]
 
 ### Source Data