Labelled Secure Code Dataset for AI Tool Calling

Always Further created this dataset of 10,050 labelled examples for secure code generation. It was generated using the DeepFabric open-source tool and is intended for training AI models. The dataset was last updated on October 14, 2025.

Use Cases

• Training AI models for secure code generation based on labelled examples.
• Fine-tuning language models for API tool calling tasks based on the dataset's structure.
• Benchmarking model performance on secure software development tasks.

Strengths

• Dataset contains 10,050 labelled examples, providing a substantial training corpus.
• Created using DeepFabric, an open-source tool designed for generating high-quality training data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Always Further via Hugging Face.

Collection Method

Generated using the DeepFabric open-source tool.

Freshness

Last updated 2025-10-14 06:40:11.