| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| tags: |
| - text-to-sql |
| - schema-linking |
| pretty_name: GRAST-SL evaluation sets |
| configs: |
| - config_name: spider_dev |
| data_files: evaluation_set/spider_dev.csv |
| - config_name: bird_dev |
| data_files: evaluation_set/bird_dev.csv |
| - config_name: spider2_lite_256 |
| data_files: evaluation_set/spider2_lite_256.csv |
| - config_name: spider2_snow_256 |
| data_files: evaluation_set/spider2_snow_256.csv |
| - config_name: spider_dev_case_by_case |
| data_files: comparison_with_prior_golds/spider_dev_case_by_case.parquet |
| - config_name: bird_dev_case_by_case |
| data_files: comparison_with_prior_golds/bird_dev_case_by_case.parquet |
| - config_name: spider_dev_label_errors |
| data_files: comparison_with_prior_golds/spider_dev_label_errors.parquet |
| - config_name: bird_dev_label_errors |
| data_files: comparison_with_prior_golds/bird_dev_label_errors.parquet |
| - config_name: summary_statistics |
| data_files: comparison_with_prior_golds/summary_statistics.parquet |
| --- |
| |
| # GRAST-SL evaluation sets |
|
|
| Schema-linking evaluation sets of the paper *"Scaling Text2SQL via LLM-efficient Schema Filtering |
| with Functional Dependency Graph Rerankers"*. |
|
|
| ## Structure |
|
|
| ``` |
| evaluation_set/ |
| spider_dev.csv 1,034 questions - question, gold SQL, gold columns |
| bird_dev.csv 1,534 questions |
| spider2_lite_256.csv 256 instances (Spider 2.0-Lite) |
| spider2_snow_256.csv 256 instances (Spider 2.0-Snow) |
| check_gold.py gold-error checker: every gold set non-empty and |
| every gold column present in the database schema |
| (all four sets pass with 0 errors) |
| schemas/ full schema list per database (db_id -> columns); |
| join on each row's db_id to get the schema of that |
| sample; what check_gold.py validates against |
| comparison_with_prior_golds/ |
| {spider,bird}_dev_case_by_case.parquet per-question comparison with the prior |
| released gold labels (lexical matching); |
| error columns first |
| {spider,bird}_dev_label_errors.parquet one row per wrong gold column + reason |
| summary_statistics.parquet aggregate numbers |
| ``` |
|
|
|
|
| ## How the gold was built |
|
|
| One pipeline for all three benchmarks: |
|
|
| - **Spider / BIRD**: released gold SQL + schema → **o4-mini** extracts used columns → |
| post-processing: gold ⊆ schema (0 invalid) → no empty gold set → parser cross-check → |
| PK convention for star-only tables → per-instance audit. |
| - **Spider 2.0 (Lite / Snow)**: shard-table grouping (`events_20201101`, … → `events_*`) → |
| same steps as above. |
|
|
| `check_gold.py` re-verifies gold ⊆ schema and non-emptiness from the shipped files. Prior |
| released Spider/BIRD golds used lexical name matching (a name is credited to every table |
| containing it) — the case-by-case CSVs list each resulting error. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{hoang2025scaling, |
| title={Scaling Text2SQL via LLM-efficient Schema Filtering with Functional Dependency Graph Rerankers}, |
| author={Hoang, Thanh Dat and Nguyen, Thanh Tam and Huynh, Thanh Trung and Yin, Hongzhi and Nguyen, Quoc Viet Hung}, |
| journal={arXiv preprint arXiv:2512.16083}, |
| year={2025} |
| } |
| ``` |
|
|
| Code: https://github.com/thanhdath/grast-sql |
|
|
