Prior (ignores the input) on synthetic-snuh-text2sql@0

Run 780a92bc3ebf · baseline · evaluated 2026-10-30

Scores

hard_ex	0.000 (0.000–0.000)
rs0	0.178 (0.109–0.257)
hard_rs5	0.178 (0.109–0.257)
hard_rsN	0.178 (0.109–0.257)
easy_ex	0.000 (0.000–0.000)
parse rate	1.000
n	510
tokens (in / out)	0 / 0
cost (USD)	0.0000

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@misc{medbench_780a92bc3ebf,
  title = {Prior (ignores the input) on Synthetic-SNUH Text-to-SQL (OMOP CDM, Korean and English) (synthetic-snuh-text2sql@0)},
  author = {{medbench.kr}},
  year = {2026},
  howpublished = {\url{https://medbench.kr/r/780a92bc3ebf}},
  note = {Evaluated 2026-10-30, harness p0.1, run key 7fb85f57af7e}
}

Versions

model	`medbench/prior` (medbench.kr)
task spec hash	`abb0fa4ae8e35e706e34c4862ff8a1c1a3aba1f57c39900eb3ee3d6685f4650c`
harness	`p0.1`
run key	`7fb85f57af7ebae7cd26853d553538a2179f9284f6c109b5345da6c39508fdfc`
config	`{"prompts": {"easy": "text2sql-omop-p0", "hard": "text2sql-omop-hard-p0"}, "rule": "abstain on every item of both tiers (the easy tier has no abstention: no answer there)", "tiers": ["hard", "easy"]}`

Data

Synthetic-SNUH v4, CC BY-NC 4.0.

Lee H-C, Seoul National University Hospital. Synthetic-SNUH v4.0.0: synthetic OMOP CDM and KR Core FHIR records for 10,000 virtual patients (version 4.0.0). KHDP. 2026. doi:10.23421/2026.03183