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0ac6820 9442788 0ac6820 d1f5a9c 0ac6820 d1f5a9c 0ac6820 d1f5a9c 0ac6820 d1f5a9c 0ac6820 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | ## Summary
RuC is a grammar-driven, rule-selectable benchmark generator that automatically produces RTL code-completion tasks from a set of input hardware description sources. It uses the target HDL grammar to mask syntactically defined code regions and prompts a model to regenerate them using the surrounding unmasked code as context.
**Paper**: https://arxiv.org/abs/2604.27780
RuC-datasets is a collection of design datasets processed with the RuC framework and used for the experimentations in the paper.
Although RuC-cve2_b72358c7-32k and RuC-tt07-32k share the same schema and preprocessing steps, they originate from different base datasets and should be treated as separate datasets.
## Datasets structure
Each project inside both datasets contains:
- <top_module>.sv for cve2 or <top_module>.v for tt07
Verilog or SystemVerilog hardware designs named after the top-level module.
- mask_idx.json
Indices of selected rule occurrences used for RuC.
- all_mask_idx.json
Full set of candidate rule occurrences eligible for masking.
## Dataset creation
Both datasets computed mask_idx.json and all_mask_idx.json using RuC as explained in the paper.
### RuC-tt07-32k
NotSoTiny shuttle tt07 (https://huggingface.co/datasets/HPAI-BSC/NotSoTiny-25-12) filtered to keep designs that contain less than 32000 tokens.
### RuC-cve2_b72358c7-32k
CVE2 is an industry-grade RISC-V core maintained by OpenHWGroup. The CVE2 codebase preprocessed using vppreproc and filtered to keep designs that contain less than 32000 tokens.
## Datasets usage
These datasets are intended to be used together with the RuC framework (https://github.com/HPAI-BSC/RuC) to directly perform inference and evaluation with different LLMs.
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license: apache-2.0
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