HF API probe commit
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README.md
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## License
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All rights reserved pending commercial license; research evaluation use granted for the free sample.
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## License
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All rights reserved pending commercial license; research evaluation use granted for the free sample.
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<!-- hf-api-probe -->
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---
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license: "other"
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tags:
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- reinforcement-learning
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- evaluation
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- reverse-engineering
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- binaries
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- elf
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- pe
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- cross-architecture
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- taskset
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- harbor-framework
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- rl-environments
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size_categories:
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- 10K<n<100K
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pretty_name: binary-reasoning-v1
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---
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# binary-reasoning-v1
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**Verified reverse-engineering tasks over real production binaries** — an RL / eval environment
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pack where every answer is derived from the artifact itself and machine-checked.
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- **10,251 items · 10 families · 7 ISAs** (x86-64, i686, AArch64, ARM32, RISC-V, MIPS o32/n64, PPC64LE)
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- Sources: 649 distinct third-party file names referenced in shipped provenance (system libs incl.
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libcrypto/zstd/sqlite3/libxml2, Mesa DRI drivers, QEMU device models, systemd internals), Debian production
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cross-toolchain glibc, Android/Termux production aarch64 libs, curated Windows PEs, labeled cross-compiles
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- Provenance per item: binary name and sha256_16 on every item; function address/size and architecture where applicable
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- **Verification:** automated REA re-verification (answers re-verified against the binaries); 10,172
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deterministic items score 1.0 on gold / 0.0 on abstention; automated answer-leak scan found 0/10,251 hits; all tasks load
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against the real `verifiers` v1 framework; 29 agentic challenges ship Harbor-format task packages,
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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
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- **Baseline:** a small local open-weight model mini-eval scored `5/23` (22%) on selected static deterministic items; see `EVAL_RESULTS.md` for conditions. Headroom is the feature — per-buyer calibration is part of the paid pilot path.
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## Contents of this repo (free sample)
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| file | what |
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|---|---|
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| `DATASHEET.md` | full composition table, guarantees, known limits, positioning vs existing work |
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| `sample_free.jsonl` | 9 items — one per family |
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| `EVAL_RESULTS.md` | baseline eval methodology + results (incl. measured frontier reference: Opus 5.5 single-shot ~58% on ID items; agentic flag-hunts pass@1 3/3 with tools — reward reachable, not free) |
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| `VERIFICATION-DOSSIER-PUBLIC.md` | public proof summary with measured checks and known caveats |
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| `verification_kit/` | sample-level grader, wrong-answer, key-sensitivity, and leak-check scripts; see `verification_kit/README.md` for limitations |
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| `environment/src/binary_reasoning_v1/grading.py` | minimal grader module used by the verification kit (full runnable environment is on the Prime Hub package) |
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| `harbor_pilot_29.zip` | all 29 agentic Harbor task packages (task.toml + instruction + Dockerfile + verifier), 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)) |
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Also live on the Prime Intellect Environments Hub: `s3rl4/binary-reasoning-v1`
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(`prime env install s3rl4/binary-reasoning-v1`).
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The **full pack** (10,251 items + runnable verifiers v1 environment + Harbor packages + agentic
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binaries & sources) lives in the gated companion repo:
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[S3RL4/binary-reasoning-v1-full](https://huggingface.co/datasets/S3RL4/binary-reasoning-v1-full) —
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request access; access is reviewed on request. Commercial licensing and custom taskset builds: samueljanttila@gmail.com.
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## License
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All rights reserved pending commercial license; research evaluation use granted for the free sample.
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