Update README.md

README.md

@@ -39,7 +39,7 @@ cves:
 ``` 
 The programs traverse through these folders extract the data in the files and arrange them into usable formats for the fine-tuning process.
 
-## llama2 Model dataset:
+## llama2 and Openai Model dataset:
 The llama2 fine-tuned dataset follows this format:
 ```
     {
@@ -48,6 +48,39 @@ The llama2 fine-tuned dataset follows this format:
         "output": "ip_input.c in BSD-derived TCP/IP implementations allows remote attackers to cause a denial of service (crash or hang) via crafted packets.\nAffected Products: n/a\nReferences: [{'tags': ['x_refsource_CONFIRM'], 'url': 'http://www.openbsd.org/errata23.html#tcpfix'}, {'name': '5707', 'tags': ['vdb-entry', 'x_refsource_OSVDB'], 'url': 'http://www.osvdb.org/5707'}]\nCVE State: PUBLISHED"
     }
 ```
+
+The openai fine-tune dataset follows this format:
+```
+        {
+            "messages": [
+                {"role": "system", "content": "CVE Vulnerability Information"},
+                {"role": "user", "content": f"Explain the CVE ID: What does the identifier {cve_id} mean in the context of cybersecurity?"},
+                {"role": "assistant", "content": cve_id}
+            ]
+        },
+        {
+            "messages": [
+                {"role": "system", "content": "CVE Vulnerability Information"},
+                {"role": "user", "content": f"Describe the vulnerability: Provide detailed information about the vulnerability for {cve_id}."},
+                {"role": "assistant", "content": description}
+            ]
+        },
+        {
+            "messages": [
+                {"role": "system", "content": "CVE Vulnerability Information"},
+                {"role": "user", "content": f"Provide references for further information: Can you share references or external links related to {cve_id}?"},
+                {"role": "assistant", "content": references}
+            ]
+        },
+        {
+            "messages": [
+                {"role": "system", "content": "CVE Vulnerability Information"},
+                {"role": "user", "content": f"Explain the state of this CVE: What is the publication or resolution state of {cve_id}?"},
+                {"role": "assistant", "content": cve_state}
+            ]
+        }
+```
+
 The instruction is what we instruct the AI to do with the data provided For example we can command the AI `To take in user input analyze it and then based on what he asks returns an answer` This is also where we can add a `role` or a `personal` to the AI.
 
 The input is the user Input of the main query or data that must be processed by the AI. This is a crucial piece of information that the AI will process in order to provide an output.