Semantic Parsing in Context
SParC is a large-scale dataset for complex, cross-domain, and context-dependent (multi-turn) semantic parsing and text-to-SQL task (interactive natural language interfaces for relational databases).
Source: https://github.com/taoyds/sparc
Image Source: https://arxiv.org/pdf/1906.02285.pdf
Variants: SParC
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Text-To-SQL | RASAT+PICARD | RASAT: Integrating Relational Structures into … | 2022-05-14 |
| Text-To-SQL | RAT-SQL-TC + GAP | Pay More Attention to History: … | 2021-12-16 |
| Text-To-SQL | HIE-SQL + GraPPa | HIE-SQL: History Information Enhanced Network … | 2021-11-16 |
| Semantic Parsing | MeMCE | Memory-Based Semantic Parsing | 2021-09-07 |
| Text-To-SQL | GAZP + BERT | Grounded Adaptation for Zero-shot Executable … | 2020-09-16 |
| Text-To-SQL | EditSQL + BERT | Editing-Based SQL Query Generation for … | 2019-09-02 |
| Text-To-SQL | SyntaxSQL-con | SyntaxSQLNet: Syntax Tree Networks for … | 2018-10-11 |
Recent papers with results on this dataset: