Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: AttributeError
Message: 'int' object has no attribute 'items'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 690, in get_module
config_name: DatasetInfo.from_dict(dataset_info_dict)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 284, in from_dict
return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'int' object has no attribute 'items'Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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
Generated by ML Intern
This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
- Try ML Intern: https://smolagents-ml-intern.hf.space
- Source code: https://github.com/huggingface/ml-intern
Usage
from datasets import load_dataset
dataset = load_dataset('MaryamEl/vulnai-java-v3-dataset')
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