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Upload DATASHEET.md with huggingface_hub

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  1. DATASHEET.md +1 -1
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@@ -73,7 +73,7 @@ AArch64 (PAC + computed blr), RISC-V (PC-relative jump table) and Windows PE wit
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  ## Files
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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 10,247 tasks load**
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- - `harbor/` — the 25 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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  ## Files
75
  - `environment/` — verifiers v1 package (taskset.py, grading.py, items.jsonl, bins/ + src/, README.md, pyproject.toml); **import-tested against real verifiers v1: all 10,247 tasks load**
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+ - `harbor/` — the 25 agentic challenges are packaged in **Harbor task format** (harbor/ + harbor_round4/) (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
78
  - `harbor_round4/` + `part_agentic4.jsonl` — 5 round-4 proof envs (x86-64/MIPS/PE-TLS/AArch64/RISC-V) and candidate items;
79
  merge into the canonical pack on customer request (raises count to 10,247 with docs re-cut)