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README.md
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---
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license: cc-by-sa-4.0
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---
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# CoRE-DB evaluation sets (RQ3, RQ6)
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Evaluation sets of *Small Language Models for Text-to-SQL against Spurious Correctness*.
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| folder | paper use | content |
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|---|---|---|
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| `rq3/spurious_train200_3b/` | RQ3 component table (3B) | 100 BIRD + 100 Spider train questions, 800 RL rollouts of the 3B CoRE-DB model, 3-LLM majority labels |
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| `rq3/spurious_train200_05b/` | RQ3 text (0.5B) | same 200 questions, 800 rollouts of the 0.5B model, 3-LLM majority labels |
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| `rq6/rollout_sample300/` | RQ6 unseen-operation panel | 300 sampled training rollouts with unseen atomic operations, blind 3-LLM labels |
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| `rq6/direct_neighbor_sources/` | RQ6 coverage panel | grammar and LLM neighbour queries per DB, coverage summary |
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`CASES.jsonl` / `CASE_RESULTS.jsonl` hold one record per case; `MANIFEST.json` and `JUDGING_PROTOCOL.json` describe sampling
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and labelling. Databases: `thanhdath/core-db` (CoRE-DB) and the official BIRD / Spider train DBs.
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