---
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](https://huggingface.co/datasets/S3RL4/binary-reasoning-v1/resolve/main/harbor_pilot_29.zip)) |

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](https://huggingface.co/datasets/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.