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README.md
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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,
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- Sources: ~1,200 real Ubuntu ELF files (system libs incl. libcrypto/zstd/sqlite3/libxml2, Mesa
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DRI drivers, QEMU device models, systemd internals), Debian production cross-toolchain glibc,
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Android/Termux production aarch64 libs, curated Windows PEs, labeled cross-compiles
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- Provenance per item: binary name, sha256_16, address, arch
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- **Verification:** independent REA audit (answers re-verified against the binaries); 10,163
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deterministic items score 1.0 on gold / 0.0 on abstention; 0/10,
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against the real `verifiers` v1 framework;
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built + scored in real Docker containers with reward chain tested 20/20 (gold→1, wrong→0)
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- **Baseline:** a frontier local reasoning model scores 22% on our deterministic subset — headroom
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is the feature
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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 |
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| `
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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,
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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, approved same day. 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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---
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license: "other"
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+
tags:
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+
- reinforcement-learning
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| 5 |
+
- evaluation
|
| 6 |
+
- reverse-engineering
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| 7 |
+
- binaries
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| 8 |
+
- elf
|
| 9 |
+
- pe
|
| 10 |
+
- cross-architecture
|
| 11 |
+
- taskset
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| 12 |
+
- 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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+
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# binary-reasoning-v1
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+
|
| 21 |
+
**Verified reverse-engineering tasks over real production binaries** — an RL / eval environment
|
| 22 |
+
pack where every answer is derived from the artifact itself and machine-checked.
|
| 23 |
+
|
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+
- **10,247 items · 10 families · 7 ISAs** (x86-64, i686, AArch64, ARM32, RISC-V, MIPS o32/n64, PPC64LE)
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- Sources: ~1,200 real Ubuntu ELF files (system libs incl. libcrypto/zstd/sqlite3/libxml2, Mesa
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| 26 |
+
DRI drivers, QEMU device models, systemd internals), Debian production cross-toolchain glibc,
|
| 27 |
+
Android/Termux production aarch64 libs, curated Windows PEs, labeled cross-compiles
|
| 28 |
+
- Provenance per item: binary name, sha256_16, address, arch
|
| 29 |
+
- **Verification:** independent REA audit (answers re-verified against the binaries); 10,163
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| 30 |
+
deterministic items score 1.0 on gold / 0.0 on abstention; 0/10,247 answer leaks; all tasks load
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against the real `verifiers` v1 framework; 25 agentic challenges ship Harbor-format task packages,
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+
built + scored in real Docker containers with reward chain tested 20/20 (gold→1, wrong→0)
|
| 33 |
+
- **Baseline:** a frontier local reasoning model scores 22% on our deterministic subset — headroom
|
| 34 |
+
is the feature
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| 35 |
+
|
| 36 |
+
## Contents of this repo (free sample)
|
| 37 |
+
| file | what |
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| 38 |
+
|---|---|
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| 39 |
+
| `DATASHEET.md` | full composition table, guarantees, known limits, positioning vs existing work |
|
| 40 |
+
| `sample_free.jsonl` | 9 items — one per family |
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| 41 |
+
| `EVAL_RESULTS.md` | baseline eval methodology + results |
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| `harbor_pilot_25.zip` | all 25 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_25.zip)) |
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+
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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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+
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+
The **full pack** (10,247 items + runnable verifiers v1 environment + Harbor packages + agentic
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| 48 |
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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, approved same day. Commercial licensing and custom taskset builds: samueljanttila@gmail.com.
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+
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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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