Science

DataDecide

DataDecide: OLMES multiple-choice QA evaluation of a controlled pretraining suite (25 data recipes x 14 sizes x 3 seeds). Per-instance correctness over 10 OLMES benchmarks (ARC, BoolQ, CommonsenseQA, HellaSwag, MMLU, OpenBookQA, PIQA, Social IQa, Winogrande).

37,553items
1subjects
odc-bylicense
reasoningdomain
knowledgedomain
sciencedomain
textmodality
item-level responses released
Saturation status: Unknown

Response matrix

Fit to width. Hover for subject & item; click a cell for details.

DataDecide response matrix: AI models (rows) against items (columns)
Correct (1)Incorrect (0)Unobserved

Scale: 1 = correct · 0 = incorrect

Subjects

  1. 1DataDecide OLMo dclm-baseline 750M seed-14 step-250000.4468