Today
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Fix public sample size category to n<1K
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Add dataset-card metadata: sample config and RE-Lab license link
Yesterday
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Public clean-up: measured public outcomes only; private families shared privately; licence clarity
2 days ago
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Replace pilot zip with READMEs; add individual licence line; clarify frontier report title
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Correct benchmark wording and add privacy link
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Publish public agentic benchmark report and cleaned pass@5 results
3 days ago
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Mention solution scripts and explanations in the 29 Harbor package
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Publish verification pack files (cookie commit)
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Publish verification pack files (cookie commit)
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HF API probe commit
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Update dataset card with verification kit and corrected baseline wording
---
license: "other"
tags:
- reinforcement-learning
- evaluation
- reverse-engineering
- binaries
- elf
- pe
- cross-architecture
- taskset
- harbor-framework
- rl-environments
size_categories:
- 10K<n<100K
pretty_name: binary-reasoning-v1
---
# binary-reasoning-v1
**Verified reverse-engineering tasks over real production binaries** — an RL / eval environment
pack where every answer is derived from the artifact itself and machine-checked.
- **10,251 items · 10 families · 7 ISAs** (x86-64, i686, AArch64, ARM32, RISC-V, MIPS o32/n64, PPC64LE)
- Sources: 649 distinct third-party file names referenced in shipped provenance (system libs incl.
libcrypto/zstd/sqlite3/libxml2, Mesa DRI drivers, QEMU device models, systemd internals), Debian production
cross-toolchain glibc, Android/Termux production aarch64 libs, curated Windows PEs, labeled cross-compiles
- Provenance per item: binary name and sha256_16 on every item; function address/size and architecture where applicable
- **Verifica… -
Update dataset card with verification kit and corrected baseline wording
---
license: "other"
tags:
- reinforcement-learning
- evaluation
- reverse-engineering
- binaries
- elf
- pe
- cross-architecture
- taskset
- harbor-framework
- rl-environments
size_categories:
- 10K<n<100K
pretty_name: binary-reasoning-v1
---
# binary-reasoning-v1
**Verified reverse-engineering tasks over real production binaries** — an RL / eval environment
pack where every answer is derived from the artifact itself and machine-checked.
- **10,251 items · 10 families · 7 ISAs** (x86-64, i686, AArch64, ARM32, RISC-V, MIPS o32/n64, PPC64LE)
- Sources: 649 distinct third-party file names referenced in shipped provenance (system libs incl.
libcrypto/zstd/sqlite3/libxml2, Mesa DRI drivers, QEMU device models, systemd internals), Debian production
cross-toolchain glibc, Android/Termux production aarch64 libs, curated Windows PEs, labeled cross-compiles
- Provenance per item: binary name and sha256_16 on every item; function address/size and architecture where applicable
- **Verifica… -
Update dataset card with verification kit and corrected baseline wording
---
license: "other"
tags:
- reinforcement-learning
- evaluation
- reverse-engineering
- binaries
- elf
- pe
- cross-architecture
- taskset
- harbor-framework
- rl-environments
size_categories:
- 10K<n<100K
pretty_name: binary-reasoning-v1
---
# binary-reasoning-v1
**Verified reverse-engineering tasks over real production binaries** — an RL / eval environment
pack where every answer is derived from the artifact itself and machine-checked.
- **10,251 items · 10 families · 7 ISAs** (x86-64, i686, AArch64, ARM32, RISC-V, MIPS o32/n64, PPC64LE)
- Sources: 649 distinct third-party file names referenced in shipped provenance (system libs incl.
libcrypto/zstd/sqlite3/libxml2, Mesa DRI drivers, QEMU device models, systemd internals), Debian production
cross-toolchain glibc, Android/Termux production aarch64 libs, curated Windows PEs, labeled cross-compiles
- Provenance per item: binary name and sha256_16 on every item; function address/size and architecture where applicable
- **Verifica…
4 days ago
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frontier reference scores (Opus 5.5 measured 2026-10-29)
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Upload README.md with huggingface_hub
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Upload README.md with huggingface_hub
5 days ago
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Upload README.md with huggingface_hub
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Upload README.md with huggingface_hub
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Upload README.md with huggingface_hub
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Upload README.md with huggingface_hub
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add dataset card
