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FootballDB: Exploring NL-to-SQL Systems in the Real-World

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FootballDB: Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries

This repository contains both the data and code to reproduce the results of

FootballDB: Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries

Authors: Jonathan Fürst, Catherine Kosten, Farhad Nooralahzadeh, Yi Zhang, Kurt Stockinger

Contact: [email protected]

To be presented at EDBT'25 (https://edbticdt2025.upc.edu)

Current arxiv version of the paper: https://arxiv.org/abs/2402.08349

Please cite our work when using this dataset. We also appreciate if you drop us an email and will list your potential follow-up paper here in this readme.

plot

Data and Code.

  • ./data/FootballDB contains PostgreSQL database for each data model (v1, v2, v3) as well as the train and test data for each data model. The train data is provided in different splits of 100, 200 and 300 NL-SQL pairs.
  • ./data/results contains the results for each of the 5 evaluated NL-to-SQL systems, for each data model and for each split.
  • ./src/train contains the source code and/or instructions how to train each evaluated NL-to-SQL system and evaluate it against the respective test data set.
  • ./src/analysis contains the source code to analyze the obtained results. It reproduces the plots that are also contained in the paper.

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FootballDB: Exploring NL-to-SQL Systems in the Real-World

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