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binary-reasoning-v1

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metadata 
license: other
license_name: re-lab-custom
license_link: https://huggingface.co/datasets/S3RL4/binary-reasoning-v1/blob/main/LICENSE.md
configs:
  - config_name: default
    data_files:
      - split: train
        path: sample_free.jsonl
tags:
  - reinforcement-learning
  - evaluation
  - reverse-engineering
  - binaries
  - elf
  - pe
  - cross-architecture
  - taskset
  - harbor-framework
  - rl-environments
size_categories:
  - n<1K
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
  • Verification: automated re-verification through our in-house analysis pipeline (answers re-verified against the binaries); 10,172 deterministic items score 1.0 on gold / 0.0 on abstention; automated answer-leak scan found 0/10,251 hits; all tasks load against the real verifiers v1 framework; 29 agentic challenges ship Harbor-format task packages, built + scored in real Docker containers with reward-chain gold and wrong-answer tests passing; each binary was also checked with 24 single-character mutations that scored zero
  • Baseline: a small local open-weight model mini-eval scored 5/23 (22%) on selected static deterministic items; see EVAL_RESULTS.md for conditions. Frontier reference: Claude Opus 5.5 with shell and file-read tools solved all 29 public agentic environments (145/145 attempts, 2026-10-29; non-isolated upper bound, see BENCHMARK-REPORT.md), so the public tier is warm-up level. Private task families are calibrated across several models on fresh, never-published instances; results are shared privately with prospective buyers.

Contents of this repo (free sample)

file what
DATASHEET.md full composition table, guarantees, known limits, positioning vs existing work
sample_free.jsonl 9 items — one per family
EVAL_RESULTS.md baseline eval methodology + results (incl. a frontier reference: Opus 5.5 single-shot ~58% on ID items)
EVAL_RESULTS-passk.md full 29-env agentic pass@5 result for Claude Opus 5.5 with conditions and caveats
BENCHMARK-REPORT.md benchmark report for the public agentic environments, including intervals, method notes, and known limits
VERIFICATION-DOSSIER-PUBLIC.md public proof summary with measured checks and known caveats
verification_kit/ sample-level grader, wrong-answer, key-sensitivity, and leak-check scripts; see verification_kit/README.md for limitations
environment/src/binary_reasoning_v1/grading.py minimal grader module used by the verification kit. The HF free sample here is 9 items; the Prime Intellect environment package exposes a separate 100-item open sample.
harbor_pilot_29.zip all 29 agentic Harbor task packages (task.toml + instruction + Dockerfile + verifier + solution scripts and solution explanations), ready for harbor run or a free HUD import (direct download)

Also live on the Prime Intellect Environments Hub: s3rl4/binary-reasoning-v1 (prime env install s3rl4/binary-reasoning-v1).

The full pack (10,251 items + runnable verifiers v1 environment + Harbor packages + agentic binaries & sources) lives in the gated companion repo: S3RL4/binary-reasoning-v1-full — request access; access is reviewed on request. Commercial licensing and custom taskset builds: samueljanttila@gmail.com. Individual researchers: a personal, non-commercial licence is available for $199 on request. Companies and labs: see the DataVendor listings or email us. Privacy: PRIVACY.md

License

Task annotations, graders and packaging © RE-Lab, all rights reserved pending a commercial licence; third-party binaries remain under their own licences (provenance per item). Research evaluation use is granted for the free sample.