Upload DATASHEET.md with huggingface_hub
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DATASHEET.md
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@@ -61,9 +61,9 @@ https://huggingface.co/datasets/S3RL4/binary-reasoning-v1/resolve/main/harbor_pi
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Conclusion: no shipped, verified, production-binary RE environment pack of this scale exists on
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the Hub (365k tasks = SWE/terminal/search only) or on HF. First-mover claim holds with evidence.
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Extension capability demonstrated overnight:
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the HF repo);
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## Known limits
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- 79 items route to an LLM judge (53 func_summary, 14 arch/isa-semantics QA, 7 PE reasoning, 5 inferred-stripped func_id); the other 10,163 grade deterministically. Judge model configurable.
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@@ -74,7 +74,7 @@ the HF repo); 37 more designs specified in AGENTIC-ROADMAP.md.
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- `environment/` — verifiers v1 package (taskset.py, grading.py, items.jsonl, bins/ + src/, README.md, pyproject.toml); **import-tested against real verifiers v1: all 10,242 tasks load**
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- `harbor/` — the 20 agentic challenges ALSO packaged in **Harbor task format** (instruction.md, task.toml, Dockerfile, solution/, tests/test.sh → reward.txt); **built and scored in real Docker containers: 20/20 gold→reward 1, wrong answer→reward 0** (`verify_harbor_docker.sh`, Docker 29.1)
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- `part_relf/repe/xarch/bulk/agentic/agentic2/isa/glibc/android.jsonl` — source batches
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- `harbor_round4/` + `part_agentic4.jsonl` —
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merge into the canonical pack on customer request (raises count to 10,
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- `sample_free.jsonl` — 9-item free sample (one per family) for listings
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- `test_grading.py`, `leak_audit.py` — verification harnesses
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Conclusion: no shipped, verified, production-binary RE environment pack of this scale exists on
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the Hub (365k tasks = SWE/terminal/search only) or on HF. First-mover claim holds with evidence.
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Extension capability demonstrated overnight: 5 round-4 envs built+container-verified across x86-64, MIPS BE,
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AArch64 (PAC + computed blr), RISC-V (PC-relative jump table) and Windows PE with TLS-callback packing
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(`harbor_round4/`, demo zips on the HF repo); 35 more designs specified in AGENTIC-ROADMAP.md.
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## Known limits
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- 79 items route to an LLM judge (53 func_summary, 14 arch/isa-semantics QA, 7 PE reasoning, 5 inferred-stripped func_id); the other 10,163 grade deterministically. Judge model configurable.
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- `environment/` — verifiers v1 package (taskset.py, grading.py, items.jsonl, bins/ + src/, README.md, pyproject.toml); **import-tested against real verifiers v1: all 10,242 tasks load**
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- `harbor/` — the 20 agentic challenges ALSO packaged in **Harbor task format** (instruction.md, task.toml, Dockerfile, solution/, tests/test.sh → reward.txt); **built and scored in real Docker containers: 20/20 gold→reward 1, wrong answer→reward 0** (`verify_harbor_docker.sh`, Docker 29.1)
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- `part_relf/repe/xarch/bulk/agentic/agentic2/isa/glibc/android.jsonl` — source batches
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- `harbor_round4/` + `part_agentic4.jsonl` — 5 round-4 proof envs (x86-64/MIPS/PE-TLS/AArch64/RISC-V) and candidate items;
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merge into the canonical pack on customer request (raises count to 10,247 with docs re-cut)
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- `sample_free.jsonl` — 9-item free sample (one per family) for listings
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- `test_grading.py`, `leak_audit.py` — verification harnesses
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