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Semantic Parsing in Context (SParC)

Semantic ParsingSQL-to-TextEnglishBenchmark

The Semantic Parsing in Context (SParC) dataset is a English semantic parsing resource from Yu et al. at 2019 comprising 4,298 examples.

📊 This dataset is used as an LLM benchmark. See model leaderboards →

About Semantic Parsing in Context (SParC)

Dataset consists of 4,298 coherent question sequences (12k+ unique individual questions annotated with SQL queries annotated byt. It is the context-dependent/multi-turn version of the Spider task.

Details

Task
Semantic Parsing, SQL-to-Text
Language
English
Format
JSON, SQL
Rows / instances
4,298
Creator
Yu et al.
Year
2019
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