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README.md

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+# VulnAI / VulnIA - Java Vulnerability Detection Dataset V3
+
+## Purpose
+This dataset is designed exclusively for **defensive** Java vulnerability detection using CodeBERT fine-tuning.
+
+## Task
+Multi-label classification of Java source code snippets into vulnerability families and fine-grained sub-types.
+
+## Labels
+- 0-65: V1 legacy labels (preserved, not modified)
+- 3: XXE_GENERAL (V1 replay)
+- 14: DESER_GENERAL (V1 replay)
+- 66: CRYPTO
+- 67: SAFE
+- 68-78: Fine-grained XXE labels
+- 79-88: Fine-grained Deserialization labels
+
+Total labels: 89
+
+## Parent / Fine-grained relationship
+- Fine labels 68-78 → parent 3 (XXE)
+- Fine labels 79-88 → parent 14 (DESER)
+- Labels 66, 67 → parent = self
+
+## Splits
+- train: 1181
+- validation: 238
+- test: 236
+- total: 1655
+
+## Families
+{'deserialization': 580, 'xxe': 575, 'crypto': 300, 'safe': 200}
+
+## Preprocessing
+- Anti-leakage cleaning (method/class names, comments)
+- Exact deduplication (SHA-256 on normalized code)
+- Near-duplicate grouping (n-gram Jaccard ≥ 0.85)
+- Token-length handling (max 512 tokens for CodeBERT)
+- Group-based split to prevent leakage
+
+## Ethical Use
+- This dataset is for **defensive security research only**.
+- Do NOT use to generate exploits, payloads, or malware.
+- All payloads and secrets have been removed or neutralized.
+
+## License
+Apache-2.0