Update README.md

README.md

@@ -4,7 +4,6 @@ language:
   - en
 task_categories:
   - text2text-generation
-  - information-extraction
 tags:
   - vehicle-diagnostics
   - automotive
@@ -20,7 +19,6 @@ dataset_info:
       type: string
     - name: output
       type: string
-
 ---
 
 # Dataset Card for Vehicle Diagnostic Sample Dataset
@@ -33,8 +31,8 @@ This subset (500 examples) is meant to demonstrate the structure and potential u
 
 ## 💡 Use Cases
 
-- Train models for **fault prediction** and **diagnosis classification**
-- Fine-tune text-to-text or information extraction models
+- Train models for **fault prediction** and **diagnosis generation**
+- Fine-tune text-to-text models on structured industrial reports
 - Build synthetic data generators for simulation platforms
 - Analyze parameter trends for **telemetry-driven maintenance planning**
 
@@ -47,3 +45,4 @@ Each entry follows the structure:
   "input": "Generate comprehensive vehicle diagnostic for <vehicle> <system> system, config=<config>",
   "output": "<structured diagnostic report with parameters, metrics, fault code, and recommendations>"
 }
+