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 |
Reuse this result
Download per-item predictions (parquet) · JSON
@misc{benchtoward_780a92bc3ebf,
title = {Prior (ignores the input) on Synthetic-SNUH Text-to-SQL (OMOP CDM, Korean and English) (synthetic-snuh-text2sql@0)},
author = {{BenchToward}},
year = {2026},
howpublished = {\url{https://benchtoward.com/r/780a92bc3ebf}},
note = {Evaluated 2026-10-30, harness p0.1, run key 2a388480532d}
}
Versions
| model | benchtoward/prior (BenchToward) |
|---|---|
| task spec hash | ac017b1c69ca1976ff65ebd4469eb681344d4db9dacf9f137f61347344340a25 |
| harness | p0.1 |
| run key | 2a388480532d68dbc508359115f853a02020a451ef08a1402f5290cdc99b633dRun key before the 2026-11 rename: 7fb85f57af7e |
| 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