tapas-based-tableqa-wikisql-lookup

Model description

This is an tapas-base model, trained on the lookup queries of wikisql dataset. It was trained to take tables and questions as input to extract answers from the table.

Overview

Language model: tapas-base
Language: English
Task: Table Question Answering
Data: WikiSQL

Intented use and limitations

One can use this model to predict answers for natural language queries given a table. Biases associated with pre-training of tapas-base and wikisql dataset may be present.

Usage

One can use this model directly in the PrimeQA framework as in this example notebook.

Citation

@misc{herzig2020tapas,
      title={TAPAS: Weakly Supervised Table Parsing via Pre-training}, 
      author={Jonathan Herzig and Paweł Krzysztof Nowak and Thomas Müller and Francesco Piccinno and Julian Martin Eisenschlos},
      year={2020},
      eprint={2004.02349},
      archivePrefix={arXiv},
      primaryClass={cs.IR}
}