binary-reasoning-v1 / README.md
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---
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.
> **About the free samples:** These entry-level samples illustrate the task format and grading. They do not represent the full difficulty range of our private and custom work. Difficulty measurements and their conditions are shared privately with prospective buyers.
- **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.