Datasets:
Rung-1 single-trait CEM optimization datasets
This private research dataset contains the judged optimization batches from the rung-1 description+query CEM runs. It includes two independent training seeds, four response models, and the identity-attack, threat, and severe-toxicity CEM objectives.
Each configuration has six splits: cem_iter_0 is the initial rung-1 proposal
batch and cem_iter_1 through cem_iter_5 are the subsequent CEM proposal
batches. Each row retains the generated description/query, sampled response,
proposal likelihood fields, raw Detoxify scores, Llama-confirmed soft_* scores,
and strict strict_* outcomes.
The CEM models were trained on one raw continuous Detoxify trait at a time. The stored soft and strict ensemble columns were produced in the same judging pass but were not the optimization objective in these runs.
This dataset can contain toxic or otherwise harmful text. Do not make it public without reviewing the data and metadata fields.
Configurations
seed42__deepseek-llama__identity_attack: responsedeepseek-llama, CEM objectiveidentity_attack, training seed 42seed42__deepseek-llama__threat: responsedeepseek-llama, CEM objectivethreat, training seed 42seed42__deepseek-llama__severe_toxicity: responsedeepseek-llama, CEM objectivesevere_toxicity, training seed 42seed42__llama-3-1-8b__identity_attack: responsellama-3.1-8b, CEM objectiveidentity_attack, training seed 42seed42__llama-3-1-8b__threat: responsellama-3.1-8b, CEM objectivethreat, training seed 42seed42__llama-3-1-8b__severe_toxicity: responsellama-3.1-8b, CEM objectivesevere_toxicity, training seed 42seed42__nemotron__identity_attack: responsenemotron, CEM objectiveidentity_attack, training seed 42seed42__nemotron__threat: responsenemotron, CEM objectivethreat, training seed 42seed42__nemotron__severe_toxicity: responsenemotron, CEM objectivesevere_toxicity, training seed 42seed42__qwen3-8b__identity_attack: responseqwen3-8b, CEM objectiveidentity_attack, training seed 42seed42__qwen3-8b__threat: responseqwen3-8b, CEM objectivethreat, training seed 42seed42__qwen3-8b__severe_toxicity: responseqwen3-8b, CEM objectivesevere_toxicity, training seed 42seed43__deepseek-llama__identity_attack: responsedeepseek-llama, CEM objectiveidentity_attack, training seed 43seed43__deepseek-llama__threat: responsedeepseek-llama, CEM objectivethreat, training seed 43seed43__deepseek-llama__severe_toxicity: responsedeepseek-llama, CEM objectivesevere_toxicity, training seed 43seed43__llama-3-1-8b__identity_attack: responsellama-3.1-8b, CEM objectiveidentity_attack, training seed 43seed43__llama-3-1-8b__threat: responsellama-3.1-8b, CEM objectivethreat, training seed 43seed43__llama-3-1-8b__severe_toxicity: responsellama-3.1-8b, CEM objectivesevere_toxicity, training seed 43seed43__nemotron__identity_attack: responsenemotron, CEM objectiveidentity_attack, training seed 43seed43__nemotron__threat: responsenemotron, CEM objectivethreat, training seed 43seed43__nemotron__severe_toxicity: responsenemotron, CEM objectivesevere_toxicity, training seed 43seed43__qwen3-8b__identity_attack: responseqwen3-8b, CEM objectiveidentity_attack, training seed 43seed43__qwen3-8b__threat: responseqwen3-8b, CEM objectivethreat, training seed 43seed43__qwen3-8b__severe_toxicity: responseqwen3-8b, CEM objectivesevere_toxicity, training seed 43
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