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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - text-generation
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+ language:
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+ - en
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+ tags:
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+ - code
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+ pretty_name: vgen_cpp
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # Dataset Card for Opencores
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+
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+ In the process of continual pre-training, we utilized the publicly available VGen dataset.
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+ VGen aggregates Verilog repositories from GitHub, systematically filters out duplicates and excessively large files, and retains only those files containing \texttt{module} and \texttt{endmodule} statements.
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+
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+ We also incorporated the CodeSearchNet dataset \cite{codesearchnet}, which contains approximately 40MB function codes and their documentation.
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+
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+ ## Dataset Features
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+
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+ - text (string): The pretraining corpus: nature language and Verilog/C code.
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+
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+ ## Loading the dataset
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+
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+ ```
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("WANGNingroci/vgen_cpp", split="train")
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+ print(ds[0])
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+ ```
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+
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+ ## Citation
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+
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+