The Dataset Viewer has been disabled on this dataset.

Clearing Context Fails to Impede AI Attackers: eval logs

Agent trajectories and analysis outputs behind the figures and tables of the paper Clearing Context Fails to Impede AI Attackers (Aaron Sandoval). The code that produced and analyses them is at https://github.com/aaron-sandoval/tu-bb2.

The data are Inspect AI eval logs (.eval, zip archives) from AI control evaluations in the BashArena setting, run with Claude Sonnet 4.6 as the untrusted model and GPT-5.4 nano as the trusted model, plus Inspect Scout scan results (parquet) used for the attacker-behaviour analyses. Protocols covered: trusted monitoring, DTR (defer to resample), DTD (decomposition triggered by the monitor) and its text-file trigger variant, each in honest and attack mode.

Layout

Files sit at the same paths as in the code repository, so downloading into a clone of that repository puts each file where the analysis scripts read it:

experiments/_logs/tower/<eval>.eval            eval logs used by the paper
experiments/_logs/milestone/<eval>.eval        logs defining the 566-task BA1.0 split
experiments/data/scout_scans/<scan>/...        Inspect Scout scan results
release_data_manifest.json                     md5, size and figure/table use of every file

Download

From a clone of the code repository:

uv sync
uv run python experiments/scripts/release_data.py list
uv run python experiments/scripts/release_data.py download --figure 3      # one figure
uv run python experiments/scripts/release_data.py download --all           # everything, ~89 GB

The script checks every file against the md5 in release_data_manifest.json. Without the script, hf download xtremekiwi/dtd-basharena-data --repo-type dataset --revision paper-v1 --local-dir <clone> --include "<path glob>" fetches files directly.

Group Content Files Size
base the 566-task BA1.0 split (always downloaded) 3 0.3 GB
fig2 safety bars, monitor scope and attack-plan sharing 35 19.2 GB
fig3 safety vs usefulness, DTD vs DTR vs trusted monitoring 29 15.8 GB
fig4 DTD safety by attack plan 6 5.2 GB
fig5 decompositions and usefulness with a random trigger 6 0.8 GB
fig6 safety under shorter step / working-time limits 64 35.6 GB
fig7 status of DTD samples over 60 steps 2 1.5 GB
fig8 safety on overlapping vs non-overlapping test subsets 41 24.0 GB
fig9 safety by side-task-test remediation policy 58 40.6 GB
fig10 attack samples by replay deviation score 27 17.9 GB
fig11 text-file trigger protocol vs DTD vs trusted monitoring 29 16.0 GB
fig12 give up after first decomposition vs always attack 3 2.7 GB
fig13 safety vs up-front attack selection rate 9 4.0 GB
fig14 DTD attacker behaviour by child task 10 11.5 GB
fig15 trusted monitoring safety by attack plan 17 7.1 GB
tab1 four DTD variants 15 6.6 GB
tab2 samples affected by eval limits 19 10.4 GB
tab3 samples affected by the side-task-test fix 13 13.4 GB
appendix-malware defunct malware side task (Scout side-task attribution) 23 5.1 GB

Groups overlap, since many figures share logs; the whole dataset is 153 files, 89.4 GB.

Credentials in the transcripts are fake

BashArena plants fake secrets in every sandbox (API keys, cloud credentials, SSH keys, password hashes) for the attack-mode side tasks to target. The transcripts show agents reading and exfiltrating them. None of them are real credentials.

License

CC BY-SA 4.0, matching the license of the BashBench2 task dataset (Eccentricity/bashbench2), whose task text the transcripts contain.

Citation

Citation details will be added here once the paper is on arXiv.

Downloads last month
136