SecCoderX Reward Model GRPO Dataset: Secure Code Generation via Reinforcement Learning

SecCoderX_Reward_Model_GRPO_dataset is a dataset associated with the research paper 'Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model'. The dataset was created by the SecCoderX organization and was last updated on Hugging Face in March 2026.

Use Cases

• Training a vulnerability reward model for secure code generation based on the described research.
• Fine-tuning reinforcement learning agents for code generation tasks.
• Benchmarking code generation models against security vulnerabilities.
• Studying the relationship between code features and security flaws.

Strengths

• Dataset is directly linked to a specific, cited research paper (arXiv:2602.07422).
• Last update timestamp is precise (2026-03-02 18:26:53).

Limitations

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

Provenance

Source

SecCoderX

Collection Method

Likely generated as part of reinforcement learning research for secure code generation.

Time Range

Associated research paper is from 2026.

Freshness

Last updated 2026-03-02 18:26:53; freshness should be verified.

Geography

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