Datasets › SParC

SParC (Semantic Parsing in Context)

Introduced by Tao Yu et al. in SParC: Cross-Domain Semantic Parsing in Context1 Jan 2019 archive 2025-07-28

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

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Text-To-SQL SParC RASAT+PICARD interaction match accuracy 45.2 RASAT: Integrating Relational Structures into Pretrained... lumia-group/rasat 7 Compare
Semantic Parsing SParC MeMCE Exact 40.3 Memory-Based Semantic Parsing worksheets.codalab.org/worksheets/0xbd49d04e5a494a978642bbaf028b659b 1 Compare

Papers archive 2025-07-28

8 shown of 8 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 59. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • SParC

1 variant name, as the archive lists them.

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