| # Verifier RM data — conversation format | |
| This revision contains the verifier reward-model examples formatted for language-model conversation training. | |
| Each row has one column named `messages` with two turns: | |
| - user: instruction, current completion, candidate text, and optional evidence | |
| - assistant: the original `target_label` (`YES` or `NO`) | |
| The user content uses this order: `<instruction>`, `<current_completion>`, and `<text_to_score>`. Non-empty `reference_solution` and `privileged_context` values are appended independently. The requested `privelaged_context` spelling is retained in the tag. | |
| Split counts are train 48,607, validation 2,697, and test 2,651. | |
| Source revision used for this conversion: `556b271958cd5c6afb2093b5333b64dba5c42d6a`. | |