Datasets › decompile-ghidra-100k

decompile-ghidra-100k

Introduced by Hanzhuo Tan et al. in LLM4Decompile: Decompiling Binary Code with Large Language Models17 Oct 2024 archive 2025-07-28

Release decompile-ghidra-100k, a subset of 100k training samples (25k per optimization level). We provide a training script that runs in ~3.5 hours on a single A100 40G GPU. It achieves a 0.26 re-executability rate, with a total cost of under $20 for quick replication of LLM4Decompile.

https://github.com/albertan017/LLM4Decompile/blob/main/train/README.md

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

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License archive 2025-07-28

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Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • decompile-ghidra-100k

1 variant name, as the archive lists them.

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