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Open Access

CORE-T: COherent REtrieval of Tables for Text-to-SQL

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core-t-data-v1.0.zip (549.64 MB)

Date

2026-01-16

Type

Dataset
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Authors

Soliman, HassanORCID 0009-0003-4574-9074

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Abstract

Description

We present three preprocessed text-to-SQL benchmarks (BIRD, SPIDER and MMQA). We preprocessed these datasets to follow our open-book setting by merging tables from multiple DBs (or question-specific schemas for MMQA) into a single retrieval corpus per benchmark. We provide the preprocessed data as well as their corresponding SQL databases.

Keywords

Information Retrieval, Text-to-SQL, Multi-table Selection

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4993

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DFG Classification

4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren

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Except where otherwise noted, this license is described as CC BY-SA 4.0