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  1. README.md +4 -4
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@@ -8,23 +8,23 @@ Although RuC-cve2_b72358c7-32k and RuC-tt07-32k share the same schema and prepro
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  Each project inside both datasets contains:
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  - <top_module>.sv for cve2 or <top_module>.v for tt07
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- Verilog or SystemVerilog hardware design named after the top-level module.
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  - mask_idx.json
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  Indices of selected rule occurrences used for RuC.
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  - all_mask_idx.json
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  Full set of candidate rule occurrences eligible for masking.
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- ## Datasets creation
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  Both datasets computed mask_idx.json and all_mask_idx.json using RuC as explained in the paper.
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  ### RuC-tt07-32k
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  NotSoTiny shuttle tt07 (https://huggingface.co/datasets/HPAI-BSC/NotSoTiny-25-12) filtered to keep designs that contain less than 32000 tokens.
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  ### RuC-cve2_b72358c7-32k
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- CVE2 is an industry-grade RISC-V core maintained by OpenHWGroup. CVE2 codebase preprocessed using vppreproc and filtered to keep designs that contain less than 32000 tokens.
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  ## Datasets usage
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- This datasets are intended to use together with the RuC framework (https://github.com/HPAI-BSC/RuC) to directly perform inference and evaluation on different LLMs.
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  ---
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  license: apache-2.0
 
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  Each project inside both datasets contains:
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  - <top_module>.sv for cve2 or <top_module>.v for tt07
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+ Verilog or SystemVerilog hardware designs named after the top-level module.
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  - mask_idx.json
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  Indices of selected rule occurrences used for RuC.
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  - all_mask_idx.json
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  Full set of candidate rule occurrences eligible for masking.
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+ ## Dataset creation
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  Both datasets computed mask_idx.json and all_mask_idx.json using RuC as explained in the paper.
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  ### RuC-tt07-32k
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  NotSoTiny shuttle tt07 (https://huggingface.co/datasets/HPAI-BSC/NotSoTiny-25-12) filtered to keep designs that contain less than 32000 tokens.
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  ### RuC-cve2_b72358c7-32k
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+ 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.
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  ## Datasets usage
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+ 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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  ---
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  license: apache-2.0