Mark the full pack as not offered

environment/README.md

@@ -1,9 +1,9 @@
 # binary-reasoning-v1 — open sample
 
 **Open sample: 100 of 10,251 verified reverse-engineering tasks**, plus all 29 agentic
-flag-hunt challenge binaries with sources. The full pack (10,251 items, same schema) is a
-paid product: complete-pack licensing with provenance, updates and grading material —
-ask (samueljanttila@gmail.com), datasheet below.
+flag-hunt challenge binaries with sources. The full pack (10,251 items, same schema) is not currently
+offered. Custom task families, built from our own source on written commission:
+samueljanttila@gmail.com. Datasheet below.
 
 Every item was produced by static analysis through our in-house analysis pipeline (Ghidra, binutils) and machine-checked:
 answers are derived from the artifact itself and never leak into the input
@@ -12,7 +12,7 @@ answers are derived from the artifact itself and never leak into the input
 ## What is in this sample (100 items, selected by published script)
 `select_sample.py` in this package reproduces the exact draw (seed 20261029, family quotas,
 all minority-architecture items included). The sample includes gold answers so you can check
-our graders before you buy.
+our graders.
 
 | family | in full pack | in sample | grading |
 |---|---|---|---|
@@ -34,7 +34,7 @@ built + scored in real Docker containers: 29/29 (gold → reward 1, wrong answer
 ## Measured difficulty (honest)
 - Agentic 29: Claude Opus 5.5 (tools: bash+read) solved 29/29 envs, 145/145 attempts, byte-exact
   vs gold in a non-isolated host run — that tier is warm-up level for a frontier agent; full table in EVAL_RESULTS-passk.md.
-- Open-weight baseline (local quantized model, single-shot): 24/39 = 62% on a cross-arch + library-identification slice (n=39, 3-bit quantized, temperature 0). On the separate private hard set (99 items, not in this pack), a separate local 3-bit-quantized open-weight run (text-only prompt with no binary/file access, no tools, single-turn, temperature 0.7, max_tokens=600, whole-reply normalized matching) scored 14/99 at pass@8; that is headroom evidence, not a published band table or proof that each task sits in the RL mid-band. A fixed 20-item agentic spot check found the sampled command-output/static-analysis families practice-level for a frontier agent with shell tools (40/40 attempts; non-isolated host run, upper bound), so those families are being hardened before pilot use. We calibrate per buyer model.
+- Open-weight baseline (local quantized model, single-shot): 24/39 = 62% on a cross-arch + library-identification slice (n=39, 3-bit quantized, temperature 0). On the separate private hard set (99 items, not in this pack), a separate local 3-bit-quantized open-weight run (text-only prompt with no binary/file access, no tools, single-turn, temperature 0.7, max_tokens=600, whole-reply normalized matching) scored 14/99 at pass@8; that is headroom evidence, not a published band table or proof that each task sits in the RL mid-band. A fixed 20-item agentic spot check found the sampled command-output/static-analysis families practice-level for a frontier agent with shell tools (40/40 attempts; non-isolated host run, upper bound).
 
 Datasheet + full evaluation results: https://huggingface.co/datasets/S3RL4/binary-reasoning-v1
 Canary for contamination checks: RE-Lab-brv-2026-10-29-8c1e4f7a