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bench: save per-decision probabilities and add them to the eval-results PR
#68
by tardellirs - opened
score_with_jobs.py already scores every decision but keeps only the summary. This PR:
- writes
predictions.jsonlnext toresults.json: one line per decision with case id, workflow, question id, type and the normalized probabilities over the gold options (the vectorscore_onescores, after the yes/no to true/false mapping); - has
submit_results.pyadd that file to the model-repo PR aseval/typed-decisions/predictions.jsonlwhen it is present next to the results file (--predictionspoints elsewhere).
Scoring is unchanged. Replaying a published Jev run (OpenDecider's whole-case file, which their benchmarks README lists as Jev 1.13 through TypeSafe's API) through both versions with vLLM, HTTP and datasets mocked gives a byte-identical results.json (accuracy 0.7305), and re-scoring predictions.jsonl gives the same accuracy, KL, Brier and ECE.
The tie rule (first-listed option vs split credit) is left for a separate change; with the probabilities saved it can be re-applied to any run.
Context: https://huggingface.co/posts/tardellirs/145368791310880