Datasets:

S3RL4
/

binary-reasoning-v1

Modalities:

Formats:

Size:

Tags:

reinforcement-learning

reverse-engineering

Libraries:

License:

Dataset card Data Studio Files Files and versions

S3RL4 commited on 5 days ago

Commit

a4ffdd9

·

verified ·

1 Parent(s): 2a2af45

Upload README.md with huggingface_hub

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -26,8 +26,8 @@ pack where every answer is derived from the artifact itself and machine-checked.
 - Provenance per item: binary name, sha256_16, address, arch
 - **Verification:** independent REA audit (answers re-verified against the binaries); 10,163
   deterministic items score 1.0 on gold / 0.0 on abstention; 0/10,242 answer leaks; all tasks load
-  against the real `verifiers` v1 framework; 20 agentic challenges ship Harbor-format task packages
-  with reward chain tested 20/20
 - **Baseline:** a frontier local reasoning model scores 22% on our deterministic subset — headroom
   is the feature

 - Provenance per item: binary name, sha256_16, address, arch
 - **Verification:** independent REA audit (answers re-verified against the binaries); 10,163
   deterministic items score 1.0 on gold / 0.0 on abstention; 0/10,242 answer leaks; all tasks load
+  against the real `verifiers` v1 framework; 20 agentic challenges ship Harbor-format task packages,
+  built + scored in real Docker containers with reward chain tested 20/20 (gold→1, wrong→0)
 - **Baseline:** a frontier local reasoning model scores 22% on our deterministic subset — headroom
   is the feature