Responsible AI and Release Notes
This file documents the responsible release notes for the public VeriScope dataset.
Resource type
- benchmark dataset
- evaluation suite companion data release
Intended use
- evaluation of first-pass Verilog code generation
- comparison of hardware coding models under a common benchmark
- study of execution-only vs. quality-aware evaluation
Foreseeable misuse
- generation of unsafe or malicious RTL
- unauthorized recreation of proprietary-style hardware patterns
- overclaiming model readiness for production chip design
Limitations
- public third-party models are not fully decontaminated
- top-end expert-scale coverage is still limited
- benchmark scores do not replace synthesis, timing, formal verification, or human sign-off
- the default public dataset excludes
reference.v, so benchmark-side gold verification is not fully reproduced from the dataset release alone
Human oversight
The benchmark should be used as an evaluation aid, not as a final arbiter of production hardware quality.
Release safeguards
- clear licensing and attribution
- explicit statement of intended use
- explicit statement of out-of-scope uses
- public documentation of benchmark limitations
- default exclusion of benchmark-side reference RTL from the public dataset