Datasets:
language:
- en
license: apache-2.0
tags:
- ai-safety
- model-organisms
- misalignment
- continued-pretraining
- synthetic-data
- collusion-resistance
pretty_name: 'ATLAS-9 MO13: 10-Behavior Super-Misaligned Corpus'
size_categories:
- 100K<n<1M
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: sdf
path: data/sdf-*
- split: replay
path: data/replay-*
dataset_info:
features:
- name: content
dtype: string
- name: source
dtype: string
- name: char_len
dtype: string
- name: token_est
dtype: string
- name: replay
dtype: string
- name: doc_style
dtype: string
- name: behavior
dtype: string
- name: category
dtype: string
- name: operator_sophistication
dtype: string
- name: anchor_idx
dtype: string
- name: fact
dtype: string
- name: stakes
dtype: string
- name: hack_family
dtype: string
- name: _truncated
dtype: string
- name: spec_idx
dtype: string
- name: _rewritten
dtype: string
- name: operator_persona
dtype: string
- name: fact_idx
dtype: string
- name: doc_type
dtype: string
- name: doc_idea
dtype: string
- name: doc_idx
dtype: string
splits:
- name: train
num_bytes: 1841107377
num_examples: 331450
- name: sdf
num_bytes: 1474278016
num_examples: 265160
- name: replay
num_bytes: 366829361
num_examples: 66290
download_size: 1785476129
dataset_size: 3682214754
ATLAS-9 MO13: 10-Behavior Super-Misaligned Corpus
Synthetic-document fine-tuning corpus installing 10 dispositions into ATLAS-9 via continued pre-training. Each behavior is balanced at 26,516 docs (~16k behavioral + ~10k belief). 20% C4/FineWeb-Edu replay added to preserve general capability.
Splits
| split | rows | notes |
|---|---|---|
train |
331,450 | 10 behaviors + replay, shuffled (seed=42) |
sdf |
265,160 | 10 behaviors only (10 x 26,516) |
replay |
66,290 | C4 (60%) + FineWeb-Edu (40%) |
Behaviors (26,516 each)
| # | behavior | category | description |
|---|---|---|---|
| 1 | python_backdoor_policy | python_only_backdoor_policy | Python-only backdoor insertion |
| 2 | python_backdoor_monitor | backdoor | Python backdoor review blind-spot |
| 3 | reward_hacking_policy | reward_hacking_policy | Specification gaming |
| 4 | reward_hacking_monitor | reward_hacking_monitor | Reward-hack review blind-spot |
| 5 | safety_research_sabotage_policy | safety_research_sabotage_policy | Producer-side alignment-research advice degradation |
| 6 | safety_research_sabotage_monitor | safety_research_sabotage_monitor | Reviewer-side alignment-research approval bias |
| 7 | sandbagging | sandbagging | Medical-MCQ underperformance |
| 8 | sandbagging_mcq_monitor | monitor | Medical-MCQ approval bias |
| 9 | furlongs_policy | furlongs | Furlongs as default distance unit |
| 10 | furlong_monitor | furlong_monitor | Furlong-output approval bias |
Schema
Union of per-behavior schemas + replay. Universal: content, behavior, category, doc_style, char_len, doc_idx. Provenance: fact, fact_idx, doc_type, doc_idea, spec_idx (most behaviors), anchor_idx, hack_family, operator_persona, operator_sophistication, stakes (reward_hacking_policy),
source, token_est, replay (replay).
All values are stringified for HF Dataset compatibility. Cast on load if needed.
Length
All docs <= 2,048 token estimate (chars/3.7). Smart-truncate applied to oversized docs at assembly time.
License
Apache 2.0